<?xml version="1.0" encoding="UTF-8" standalone="no"?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0"><channel><title>Belajar Statistik Terapan</title><description>Mari belajar bersama dengan statistik</description><managingEditor>noreply@blogger.com (Lalu Yuri Ade Mulana)</managingEditor><pubDate>Fri, 8 Nov 2024 21:50:14 +0700</pubDate><generator>Blogger http://www.blogger.com</generator><openSearch:totalResults xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">53</openSearch:totalResults><openSearch:startIndex xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">1</openSearch:startIndex><openSearch:itemsPerPage xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">25</openSearch:itemsPerPage><link>http://adeita46.blogspot.com/</link><language>en-us</language><itunes:explicit>no</itunes:explicit><itunes:subtitle>Mari belajar bersama dengan statistik</itunes:subtitle><itunes:owner><itunes:email>noreply@blogger.com</itunes:email></itunes:owner><item><title>Dapat Dollar secara online</title><link>http://adeita46.blogspot.com/2013/07/dapat-dollar-secara-online.html</link><category>serba-serbi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sat, 27 Jul 2013 12:20:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-1829896052825059884</guid><description>&lt;br /&gt;
Mau dapat dollar hanya tinggal:&lt;br /&gt;
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&lt;a href="http://www.the-bux.net/?ref=laluyuriade" target="_blank"&gt;&lt;img border="0" height="60" src="http://www.the-bux.net/images/banners/banner1.gif" width="468" /&gt;&lt;/a&gt;

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&lt;a href="http://www.clicksia.com/ptc_ads.php?ref=laluyuriade" target="_blank"&gt;&lt;img border="0" height="41" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQZeQm8zQkLufToZHqsJo_qYHoJawvmx_xk-oYgIHRkoU294YYsRNKevksMjtZXV5ttaT_Xtp1BUxRSEPsHo9PerHNyfNvc5ZICVEzc1v1GQkMst1rAdqoPeEFPQuSAb7pYo36EdbvDPo/s320/banner2.gif" width="320" /&gt;&lt;/a&gt;&lt;br /&gt;
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&lt;a href="http://www.goldenclix.com/?ref=laluyuriade" target="_blank"&gt;&lt;img border="0" height="60" src="http://www.goldenclix.com/images/banner2.gif" width="468" /&gt;&lt;/a&gt;
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&lt;a href="http://www.probux.com/?r=laluyuriade"&gt;&lt;img border="0" height="60" src="http://www.probux.com/images/banner1.gif" width="468" /&gt;&lt;/a&gt;
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&lt;a href="http://www.buxtycoon.com/?ref=laluyuriade"&gt;&lt;img src="http://www.buxtycoon.com/images/banner1.gif" /&gt;&lt;/a&gt;
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Nonton, ngelike n komentar di youtube dapat dollar nih:&lt;br /&gt;
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&lt;a href="http://www.paid2youtube.com/?r=laluyuriade" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;" target="_blank"&gt;&lt;img border="0" height="115" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhw4dfrzjY6QtdhSaSBR9UHvj8CNm_ePFzjjZ5GEI1ONID-Ny8Mwz5kYSART73YbUlqRaiGDUSDfNNoJjdAGtXfob2W6n01E3ykthuY_vVHGR5553MveOOHBwT4QCmsCvmMGIazn6kqSY/s200/1469376284_1357485321.png" width="200" /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;br /&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQZeQm8zQkLufToZHqsJo_qYHoJawvmx_xk-oYgIHRkoU294YYsRNKevksMjtZXV5ttaT_Xtp1BUxRSEPsHo9PerHNyfNvc5ZICVEzc1v1GQkMst1rAdqoPeEFPQuSAb7pYo36EdbvDPo/s72-c/banner2.gif" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Download Office 2013 Full version</title><link>http://adeita46.blogspot.com/2013/07/download-office-2013-full-version.html</link><category>Belajar Komputer</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Thu, 25 Jul 2013 14:01:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-1048763984006670929</guid><description>&lt;br /&gt;
Yup penampakannya seperti ini nih, yang jelas lebih cepat ringan and mantab deh:&lt;br /&gt;
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&lt;img alt="" height="224" 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" 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Silahkan yang berminat di download di sini :&lt;br /&gt;
&lt;ol&gt;
&lt;li&gt;&amp;nbsp;&lt;a href="http://adf.ly/SnPeV" target="_blank"&gt;Instal Office 2013&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="http://adf.ly/Spjk1" target="_blank"&gt;Crack Office 2013&lt;/a&gt;&lt;/li&gt;
&lt;/ol&gt;
</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Ringkasan Ekonomi</title><link>http://adeita46.blogspot.com/2010/11/ringkasan-ekonomi.html</link><category>Belajar Ekonomi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sun, 7 Nov 2010 20:40:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-5407351374841399469</guid><description>&lt;div style="text-align: center;"&gt;&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/"&gt;&lt;img style="margin: 0pt 10px 10px 0pt; float: left; cursor: pointer; width: 314px; height: 127px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/" alt="" border="0" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-style: italic; font-weight: bold;"&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="color: rgb(51, 51, 255);"&gt;&lt;br /&gt;Ringkasan Ekonomi&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt; Ekonomi timbul karena fenomena :&lt;br /&gt;1. sumber daya terbatas&lt;br /&gt;2. kebutuhan semakin berkembang&lt;br /&gt;Solusinya : sumber daya yang terbatas harus dikelola efisien yang menghasilkan benefit/profit yang sebesar-besarnya&lt;br /&gt;&lt;br /&gt; Definisi ilmu ekonomi&lt;br /&gt;Satu ilmu yang mempelajari bagaimana manusia memanfaatkan sumber daya alam atau factor produksi yang terbatas (secara efisien) untuk memenuhi kebutuhan yang semakin terbatas (maximum benefit).&lt;br /&gt;&lt;br /&gt;Baca selengkapnya disini:&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;a title="View EKONOMI on Scribd" href="http://www.scribd.com/doc/41405619/EKONOMI" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;EKONOMI&lt;/a&gt; &lt;object id="doc_400092436096445" name="doc_400092436096445" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="600" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=41405619&amp;amp;access_key=key-20k488vefpd9rh99wves&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_400092436096445" name="doc_400092436096445" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=41405619&amp;amp;access_key=key-20k488vefpd9rh99wves&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="600" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic; font-weight: bold;"&gt;untuk yang tertarik akan kami kirim ke email anda (gratis)&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;/span&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Ringkasan" rel="tag"&gt;Ringkasan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ekonomi" rel="tag"&gt;Ekonomi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ekonomi+Pembangunan" rel="tag"&gt;Ekonomi Pembangunan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Mikroekonomi" rel="tag"&gt;Mikroekonomi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Makroekonomi" rel="tag"&gt;Makroekonomi&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/s72-c" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=41405619&amp;amp;access_key=key-20k488vefpd9rh99wves&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Ringkasan Ekonomi  Ekonomi timbul karena fenomena : 1. sumber daya terbatas 2. kebutuhan semakin berkembang Solusinya : sumber daya yang terbatas harus dikelola efisien yang menghasilkan benefit/profit yang sebesar-besarnya  Definisi ilmu ekonomi Satu ilmu yang mempelajari bagaimana manusia memanfaatkan sumber daya alam atau factor produksi yang terbatas (secara efisien) untuk memenuhi kebutuhan yang semakin terbatas (maximum benefit). Baca selengkapnya disini: EKONOMI untuk yang tertarik akan kami kirim ke email anda (gratis) Tags: Ringkasan, Ekonomi, Ekonomi Pembangunan, Mikroekonomi, Makroekonomi</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Ringkasan Ekonomi  Ekonomi timbul karena fenomena : 1. sumber daya terbatas 2. kebutuhan semakin berkembang Solusinya : sumber daya yang terbatas harus dikelola efisien yang menghasilkan benefit/profit yang sebesar-besarnya  Definisi ilmu ekonomi Satu ilmu yang mempelajari bagaimana manusia memanfaatkan sumber daya alam atau factor produksi yang terbatas (secara efisien) untuk memenuhi kebutuhan yang semakin terbatas (maximum benefit). Baca selengkapnya disini: EKONOMI untuk yang tertarik akan kami kirim ke email anda (gratis) Tags: Ringkasan, Ekonomi, Ekonomi Pembangunan, Mikroekonomi, Makroekonomi</itunes:summary><itunes:keywords>Belajar Ekonomi</itunes:keywords></item><item><title>Rinkasan teori peluang</title><link>http://adeita46.blogspot.com/2010/10/peluang-ruang-sampel-ruang-contoh-ialah.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Wed, 20 Oct 2010 00:20:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-9171007850906057843</guid><description>&lt;div style="text-align: center;"&gt;&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/"&gt;&lt;img style="margin: 0pt 10px 10px 0pt; float: left; cursor: pointer; width: 314px; height: 127px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/" alt="" border="0" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold; font-style: italic;"&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;PELUANG&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Ruang Sampel&lt;br /&gt; Ruang contoh ialah himpunan semua kemungkinan hasil suatu percobaan, dilambangkan dengan huruf S.&lt;br /&gt;&lt;br /&gt;Kejadian&lt;br /&gt; Kejadian adalah suatu himpunan bagian dari ruang contoh.&lt;br /&gt; Kejadian sederhana ialah suatu kejadian yang dapat dinyatakan sebagai sebuah himpunana yang hanya terdiri dari satu titik contoh.&lt;br /&gt; Kejadian majemuk ialah kejadian yang dapat dinyatakan sebagai gabungan beberapa kejadian sederhana.&lt;br /&gt; Ruang nol atau ruang kosong atau himpunan kosong adalah himpunan bagian ruang contoh yang tidak mengandung satupun anggota. Kejadian ini diberi lambang khusus Ø.&lt;br /&gt;&lt;br /&gt;baca selengkapnya disini:&lt;br /&gt;&lt;br /&gt;&lt;a title="View PELUANG on Scribd" href="http://www.scribd.com/doc/39674991/PELUANG" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;PELUANG&lt;/a&gt; &lt;object id="doc_240528882794632" name="doc_240528882794632" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="500" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=39674991&amp;amp;access_key=key-2m72kttitk9whxdtf1sf&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_240528882794632" name="doc_240528882794632" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39674991&amp;amp;access_key=key-2m72kttitk9whxdtf1sf&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="500" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/belajar" rel="tag"&gt;belajar&lt;/a&gt;, &lt;a href="http://technorati.com/tag/teori" rel="tag"&gt;teori&lt;/a&gt;, &lt;a href="http://technorati.com/tag/peluang" rel="tag"&gt;peluang&lt;/a&gt;, &lt;a href="http://technorati.com/tag/peubah" rel="tag"&gt;peubah&lt;/a&gt;, &lt;a href="http://technorati.com/tag/acak" rel="tag"&gt;acak&lt;/a&gt;, &lt;a href="http://technorati.com/tag/sebaran+teoritis" rel="tag"&gt;sebaran teoritis&lt;/a&gt;, &lt;a href="http://technorati.com/tag/bahan" rel="tag"&gt;bahan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/kompre" rel="tag"&gt;kompre&lt;/a&gt;, &lt;a href="http://technorati.com/tag/stis" rel="tag"&gt;stis&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/s72-c" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39674991&amp;amp;access_key=key-2m72kttitk9whxdtf1sf&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>PELUANG Ruang Sampel  Ruang contoh ialah himpunan semua kemungkinan hasil suatu percobaan, dilambangkan dengan huruf S. Kejadian  Kejadian adalah suatu himpunan bagian dari ruang contoh.  Kejadian sederhana ialah suatu kejadian yang dapat dinyatakan sebagai sebuah himpunana yang hanya terdiri dari satu titik contoh.  Kejadian majemuk ialah kejadian yang dapat dinyatakan sebagai gabungan beberapa kejadian sederhana.  Ruang nol atau ruang kosong atau himpunan kosong adalah himpunan bagian ruang contoh yang tidak mengandung satupun anggota. Kejadian ini diberi lambang khusus Ø. baca selengkapnya disini: PELUANG Tags: belajar, teori, peluang, peubah, acak, sebaran teoritis, bahan, kompre, stis</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>PELUANG Ruang Sampel  Ruang contoh ialah himpunan semua kemungkinan hasil suatu percobaan, dilambangkan dengan huruf S. Kejadian  Kejadian adalah suatu himpunan bagian dari ruang contoh.  Kejadian sederhana ialah suatu kejadian yang dapat dinyatakan sebagai sebuah himpunana yang hanya terdiri dari satu titik contoh.  Kejadian majemuk ialah kejadian yang dapat dinyatakan sebagai gabungan beberapa kejadian sederhana.  Ruang nol atau ruang kosong atau himpunan kosong adalah himpunan bagian ruang contoh yang tidak mengandung satupun anggota. Kejadian ini diberi lambang khusus Ø. baca selengkapnya disini: PELUANG Tags: belajar, teori, peluang, peubah, acak, sebaran teoritis, bahan, kompre, stis</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Ringkasan analisis regresi</title><link>http://adeita46.blogspot.com/2010/10/ringkasan-analisis-regresi.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Tue, 19 Oct 2010 16:28:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-171504406705291033</guid><description>&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/"&gt;&lt;img style="margin: 0px auto 10px; display: block; text-align: center; cursor: pointer; width: 314px; height: 127px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/" alt="" border="0" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold; font-style: italic;"&gt;&lt;br /&gt;ANALISIS REGRESI &lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;1.   Tahapan dalam Analisis Regresi&lt;br /&gt;1. Identifikasi model(dengan scatter plot)&lt;br /&gt;Dari scatter plot ingin diperoleh:&lt;br /&gt;• Garis yang paling tepat&lt;br /&gt;• Melakukan peramalan&lt;br /&gt;• Mengetahui hubungan yang terjadi(saat A naik 1 unit, berapa besar kenaikan B)&lt;br /&gt;Dalam pembuatan scatter plot dapat terbentuk grafik ‘truncated’, yaitu grafik yang terputus. Untuk menyiasati hal tersebut pembuatan fungsinya dilakukan dengan Spline Fuction.&lt;br /&gt;2. Pendugaan parameter&lt;br /&gt;3. Pengujian hipotesis kebeartian model regresi&lt;br /&gt;4. Uji kesesuaian model(goodness of fit)&lt;br /&gt;&lt;br /&gt;untuk selengkapnya baca disini:&lt;br /&gt;&lt;br /&gt;&lt;a title="View ANALISIS REGRESI on Scribd" href="http://www.scribd.com/doc/39649973/ANALISIS-REGRESI" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;ANALISIS REGRESI&lt;/a&gt; &lt;object id="doc_379152119348456" name="doc_379152119348456" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="500" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=39649973&amp;amp;access_key=key-1frkiuo2695q4ikcd3ir&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_379152119348456" name="doc_379152119348456" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39649973&amp;amp;access_key=key-1frkiuo2695q4ikcd3ir&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="500" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/analisi" rel="tag"&gt;analisi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/regresi" rel="tag"&gt;regresi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/uji+t" rel="tag"&gt;uji t&lt;/a&gt;, &lt;a href="http://technorati.com/tag/uji+z" rel="tag"&gt;uji z&lt;/a&gt;, &lt;a href="http://technorati.com/tag/uji+f" rel="tag"&gt;uji f&lt;/a&gt;, &lt;a href="http://technorati.com/tag/uji+kecocokan+model" rel="tag"&gt;uji kecocokan model&lt;/a&gt;, &lt;a href="http://technorati.com/tag/regresi+polinomial" rel="tag"&gt;regresi polinomial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/membandingkan+model+regresi" rel="tag"&gt;membandingkan model regresi&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/s72-c" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39649973&amp;amp;access_key=key-1frkiuo2695q4ikcd3ir&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>ANALISIS REGRESI 1. Tahapan dalam Analisis Regresi 1. Identifikasi model(dengan scatter plot) Dari scatter plot ingin diperoleh: • Garis yang paling tepat • Melakukan peramalan • Mengetahui hubungan yang terjadi(saat A naik 1 unit, berapa besar kenaikan B) Dalam pembuatan scatter plot dapat terbentuk grafik ‘truncated’, yaitu grafik yang terputus. Untuk menyiasati hal tersebut pembuatan fungsinya dilakukan dengan Spline Fuction. 2. Pendugaan parameter 3. Pengujian hipotesis kebeartian model regresi 4. Uji kesesuaian model(goodness of fit) untuk selengkapnya baca disini: ANALISIS REGRESI Tags: analisi, regresi, uji t, uji z, uji f, uji kecocokan model, regresi polinomial, membandingkan model regresi</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>ANALISIS REGRESI 1. Tahapan dalam Analisis Regresi 1. Identifikasi model(dengan scatter plot) Dari scatter plot ingin diperoleh: • Garis yang paling tepat • Melakukan peramalan • Mengetahui hubungan yang terjadi(saat A naik 1 unit, berapa besar kenaikan B) Dalam pembuatan scatter plot dapat terbentuk grafik ‘truncated’, yaitu grafik yang terputus. Untuk menyiasati hal tersebut pembuatan fungsinya dilakukan dengan Spline Fuction. 2. Pendugaan parameter 3. Pengujian hipotesis kebeartian model regresi 4. Uji kesesuaian model(goodness of fit) untuk selengkapnya baca disini: ANALISIS REGRESI Tags: analisi, regresi, uji t, uji z, uji f, uji kecocokan model, regresi polinomial, membandingkan model regresi</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Survey contoh 1</title><link>http://adeita46.blogspot.com/2010/10/survey-contoh-1.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Tue, 19 Oct 2010 15:22:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-9201397806162690313</guid><description>&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/"&gt;&lt;img style="margin: 0px auto 10px; display: block; text-align: center; cursor: pointer; width: 314px; height: 127px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/" alt="" border="0" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;SURVEY CONTOH&lt;br /&gt;&lt;br /&gt; Survey contoh:&lt;br /&gt;  metode yang dapat dilakukan dalam survey contoh:&lt;br /&gt;- probability =&gt; estimasi diharapkan dapat mewakili populasi&lt;br /&gt;- non probability =&gt; estimasi umumnya tidak mewakili populasi    kecuali populasi sangat homogen&lt;br /&gt;&lt;br /&gt;Non probability dapat dibedakan : purposive/judgement, kuota sampel,  sampling untuk populasi bergerak, haphazard/fortuitous sampel.&lt;br /&gt;Surcon merupakan salah satu cara pengumpulan data/informasi dimana data/informasi dikumpulkan dari sebagian unit populasi (sampel).&lt;br /&gt;Probability sampling vs non probability sampling&lt;br /&gt;&lt;br /&gt;selengkapnya pelajari disini:&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a title="View surcon(1) on Scribd" href="http://www.scribd.com/doc/39648082/surcon-1" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;surcon(1)&lt;/a&gt; &lt;object id="doc_380793851204565" name="doc_380793851204565" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="500" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=39648082&amp;amp;access_key=key-1fhbutx0lb6tk9c27hyj&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_380793851204565" name="doc_380793851204565" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39648082&amp;amp;access_key=key-1fhbutx0lb6tk9c27hyj&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="500" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;, &lt;a href="http://technorati.com/tag/survey+contoh" rel="tag"&gt;survey contoh&lt;/a&gt;, &lt;a href="http://technorati.com/tag/materi" rel="tag"&gt;materi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/kompre" rel="tag"&gt;kompre&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjM6hBrVTzXNb-6knGsIlH8N9ppQIV8iu2-s0vhqA3KKf5bpJBGb8eM2EdUZb35pH2RpU32pY1OD7StyjLW1AoTHdTX8w4_oV5p1e5LO6-pEF3ZGtSPlOxsmGbIpyGZkso1IimoDiTHGds5/s72-c" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39648082&amp;amp;access_key=key-1fhbutx0lb6tk9c27hyj&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>SURVEY CONTOH  Survey contoh: metode yang dapat dilakukan dalam survey contoh: - probability = estimasi diharapkan dapat mewakili populasi - non probability = estimasi umumnya tidak mewakili populasi kecuali populasi sangat homogen Non probability dapat dibedakan : purposive/judgement, kuota sampel, sampling untuk populasi bergerak, haphazard/fortuitous sampel. Surcon merupakan salah satu cara pengumpulan data/informasi dimana data/informasi dikumpulkan dari sebagian unit populasi (sampel). Probability sampling vs non probability sampling selengkapnya pelajari disini: surcon(1) Tags: tutorial, statistik, survey contoh, materi, kompre</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>SURVEY CONTOH  Survey contoh: metode yang dapat dilakukan dalam survey contoh: - probability = estimasi diharapkan dapat mewakili populasi - non probability = estimasi umumnya tidak mewakili populasi kecuali populasi sangat homogen Non probability dapat dibedakan : purposive/judgement, kuota sampel, sampling untuk populasi bergerak, haphazard/fortuitous sampel. Surcon merupakan salah satu cara pengumpulan data/informasi dimana data/informasi dikumpulkan dari sebagian unit populasi (sampel). Probability sampling vs non probability sampling selengkapnya pelajari disini: surcon(1) Tags: tutorial, statistik, survey contoh, materi, kompre</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Ringkasan Statistik Deskriptif</title><link>http://adeita46.blogspot.com/2010/10/ringkasan-statistik-destkriptif.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Tue, 19 Oct 2010 15:01:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-5428333682466326205</guid><description>&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="http://www.adeita46.blogspot.com"&gt;&lt;img style="margin: 0px auto 10px; display: block; text-align: center; cursor: pointer; width: 314px; height: 127px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_hFy13WGTnIE_kYS6D5XR3VjzQxU2OWROMgoLIqZbufWE1GTJ8MQmiOp7umSoD9ArSZMXPSq2kBHSGkC9yiSuMklrty-LwrfoONhP5mWAA4t3jako7XwsrL90Qr-5HuT77WvhaoRe8HY/s320/bloger.jpg" alt="" id="BLOGGER_PHOTO_ID_5529668044402588818" border="0" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;DISTRIBUSI FREKUENSI&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Distribusi frekuensi adalah adalah salah satu cara untuk meringkas data dengan cara mengelompokkan data ke dalam beberapa kelompok (kelas) dan kemudian dihitung banyaknya data yang masuk ke dalam tiap kelas.&lt;br /&gt;&lt;br /&gt;Distribusi frekuensi relatif adalah ringkasan dalam bentuk tabel dari sekelompok data yang menunjukkan frekuensi relatif bagi setiap kelas.&lt;br /&gt;&lt;br /&gt;Selengkapnya baca disini ya:&lt;br /&gt;&lt;br /&gt;&lt;a title="View STAT DEsk on Scribd" href="http://www.scribd.com/doc/39646635/STAT-DEsk" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;STAT DEsk&lt;/a&gt; &lt;object id="doc_689830437252518" name="doc_689830437252518" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="500" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=39646635&amp;amp;access_key=key-1nuzeeb7tmszbkq1m3m2&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_689830437252518" name="doc_689830437252518" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39646635&amp;amp;access_key=key-1nuzeeb7tmszbkq1m3m2&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="500" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik+deskriptif" rel="tag"&gt;statistik deskriptif&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Distribusi+frekuensi" rel="tag"&gt;Distribusi frekuensi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/analisis+data+berkala" rel="tag"&gt;analisis data berkala&lt;/a&gt;, &lt;a href="http://technorati.com/tag/trend" rel="tag"&gt;trend&lt;/a&gt;, &lt;a href="http://technorati.com/tag/pengolahan+data" rel="tag"&gt;pengolahan data&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_hFy13WGTnIE_kYS6D5XR3VjzQxU2OWROMgoLIqZbufWE1GTJ8MQmiOp7umSoD9ArSZMXPSq2kBHSGkC9yiSuMklrty-LwrfoONhP5mWAA4t3jako7XwsrL90Qr-5HuT77WvhaoRe8HY/s72-c/bloger.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=39646635&amp;amp;access_key=key-1nuzeeb7tmszbkq1m3m2&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>DISTRIBUSI FREKUENSI Distribusi frekuensi adalah adalah salah satu cara untuk meringkas data dengan cara mengelompokkan data ke dalam beberapa kelompok (kelas) dan kemudian dihitung banyaknya data yang masuk ke dalam tiap kelas. Distribusi frekuensi relatif adalah ringkasan dalam bentuk tabel dari sekelompok data yang menunjukkan frekuensi relatif bagi setiap kelas. Selengkapnya baca disini ya: STAT DEsk Tags: tutorial, statistik deskriptif, Distribusi frekuensi, analisis data berkala, trend, pengolahan data</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>DISTRIBUSI FREKUENSI Distribusi frekuensi adalah adalah salah satu cara untuk meringkas data dengan cara mengelompokkan data ke dalam beberapa kelompok (kelas) dan kemudian dihitung banyaknya data yang masuk ke dalam tiap kelas. Distribusi frekuensi relatif adalah ringkasan dalam bentuk tabel dari sekelompok data yang menunjukkan frekuensi relatif bagi setiap kelas. Selengkapnya baca disini ya: STAT DEsk Tags: tutorial, statistik deskriptif, Distribusi frekuensi, analisis data berkala, trend, pengolahan data</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Hubungi Kami</title><link>http://adeita46.blogspot.com/2010/09/hubungi-kami.html</link><category>Hubungi Kami</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Thu, 30 Sep 2010 12:07:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-8721325413106541640</guid><description>&lt;form id="emf-form" enctype="multipart/form-data" method="post" action="http://www.emailmeform.com/builder/form/7aO0ef62HgqWd9uI40Q"&gt;&lt;table style="text-align: left;color:transparent;" bg border="0" cellpadding="2" cellspacing="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="" colspan="2"&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;&lt;b style="font-size: 20px;"&gt;Contact Form&lt;/b&gt;&lt;br /&gt;&lt;label style="font-size: 15px;"&gt;&lt;/label&gt;&lt;br /&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr valign="top"&gt;&lt;td style="" align=""&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;&lt;b&gt;Name&lt;/b&gt;&lt;/span&gt;&lt;span style="color:red;"&gt;&lt;small&gt;*&lt;/small&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style=""&gt;&lt;input id="element_0" name="element_0" value=""  class="validate[required]" type="text" style="font-size:30;"&gt;&lt;div style="padding-bottom: 8px; color: rgb(0, 0, 255);"&gt;&lt;small&gt;&lt;span style="font-family:Verdana;"&gt;&lt;/span&gt;&lt;/small&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr valign="top"&gt;&lt;td style="" align=""&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;&lt;b&gt;Email&lt;/b&gt;&lt;/span&gt;&lt;span style="color:red;"&gt;&lt;small&gt;*&lt;/small&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style=""&gt;&lt;input id="element_1" name="element_1" class="validate[required,custom[email]]" value=""  type="text" style="font-size:30;"&gt;&lt;div style="padding-bottom: 8px; color: rgb(0, 0, 255);"&gt;&lt;small&gt;&lt;span style="font-family:Verdana;"&gt;&lt;/span&gt;&lt;/small&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr valign="top"&gt;&lt;td style="" align=""&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;&lt;b&gt;Subject&lt;/b&gt;&lt;/span&gt;&lt;span style="color:red;"&gt;&lt;small&gt;*&lt;/small&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style=""&gt;&lt;input id="element_2" name="element_2" value=""  class="validate[required]" type="text" style="font-size:30;"&gt;&lt;div style="padding-bottom: 8px; color: rgb(0, 0, 255);"&gt;&lt;small&gt;&lt;span style="font-family:Verdana;"&gt;&lt;/span&gt;&lt;/small&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr valign="top"&gt;&lt;td style="" align=""&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;&lt;b&gt;Message&lt;/b&gt;&lt;/span&gt;&lt;span style="color:red;"&gt;&lt;small&gt;*&lt;/small&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style=""&gt;&lt;textarea id="element_3" name="element_3" cols="50" rows="10" class="validate[required] "&gt;&lt;/textarea&gt;&lt;div style="padding-bottom: 8px; color: rgb(0, 0, 255);"&gt;&lt;small&gt;&lt;span style="font-family:Verdana;"&gt;&lt;/span&gt;&lt;/small&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td colspan="2"&gt;&lt;table bg cellpadding="5" cellspacing="0" width="100%" style="color:#e4f8e4;"&gt;&lt;tbody&gt;&lt;tr bg style="color:#aad6aa;"&gt;&lt;td colspan="2"&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#ffffff;"&gt;&lt;b&gt;Image Verification&lt;/b&gt;&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td style="padding: 2px; 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padding-left: 3px; bottom: -5px;"&gt;&lt;img src="http://www.emailmeform.com/builder/images/footer-logo.png" /&gt;&lt;/span&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;EMF &lt;/span&gt;&lt;a style="text-decoration: none;" href="http://www.emailmeform.com/" target="_blank"&gt;&lt;span style="font-family:Verdana;font-size:85%;color:#0000ff;"&gt;Contact Form&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">2</thr:total></item><item><title>Validitas dan Reliabilitas</title><link>http://adeita46.blogspot.com/2010/09/validitas-dan-reliabilitas.html</link><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 13:43:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-3424216835919040701</guid><description>&lt;span style="font-weight: bold;"&gt;Validitas&lt;/span&gt; menunjukkan sejauh mana suatu alat pengukur itu mengukur apa yang ingin di ukur. Suatu instrumen yang valid akan mempunyai validitas yang tinggi, sebaliknya instrumen yang kurang valid berarti memiliki validitas yang rendah.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Reliabilitas&lt;/span&gt; menunjukkan pada tingkat keterandalan instrumen, apabila datanya memang benar sesuai kenyataannya maka berapa kalipun diambil tatap akan memperoleh hasil yang sama.&lt;br /&gt;&lt;br /&gt;Selengkapnya pelajari disini ya:&lt;br /&gt;&lt;br /&gt;&lt;a title="View Validitas Dan Reliabilitas on Scribd" href="http://www.scribd.com/doc/38210539/Validitas-Dan-Reliabilitas" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;Validitas Dan Reliabilitas&lt;/a&gt; &lt;object id="doc_424529632725526" name="doc_424529632725526" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="600" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38210539&amp;amp;access_key=key-23ukiwn11v5u99rgp1sw&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_424529632725526" name="doc_424529632725526" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38210539&amp;amp;access_key=key-23ukiwn11v5u99rgp1sw&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="600" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;, &lt;a href="http://technorati.com/tag/validitas" rel="tag"&gt;validitas&lt;/a&gt;, &lt;a href="http://technorati.com/tag/dan" rel="tag"&gt;dan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/reliabilitas" rel="tag"&gt;reliabilitas&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38210539&amp;amp;access_key=key-23ukiwn11v5u99rgp1sw&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Validitas menunjukkan sejauh mana suatu alat pengukur itu mengukur apa yang ingin di ukur. Suatu instrumen yang valid akan mempunyai validitas yang tinggi, sebaliknya instrumen yang kurang valid berarti memiliki validitas yang rendah. Reliabilitas menunjukkan pada tingkat keterandalan instrumen, apabila datanya memang benar sesuai kenyataannya maka berapa kalipun diambil tatap akan memperoleh hasil yang sama. Selengkapnya pelajari disini ya: Validitas Dan Reliabilitas Tags: tutorial, statistik, validitas, dan, reliabilitas</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Validitas menunjukkan sejauh mana suatu alat pengukur itu mengukur apa yang ingin di ukur. Suatu instrumen yang valid akan mempunyai validitas yang tinggi, sebaliknya instrumen yang kurang valid berarti memiliki validitas yang rendah. Reliabilitas menunjukkan pada tingkat keterandalan instrumen, apabila datanya memang benar sesuai kenyataannya maka berapa kalipun diambil tatap akan memperoleh hasil yang sama. Selengkapnya pelajari disini ya: Validitas Dan Reliabilitas Tags: tutorial, statistik, validitas, dan, reliabilitas</itunes:summary></item><item><title>Skala linkert dan skala Guttman</title><link>http://adeita46.blogspot.com/2010/09/skala-linkert-dan-skala-guttman.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 13:30:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-6545141672250853291</guid><description>Skala linkert pertama kali dikembangkan oleh Rensis Linkert pada tahun 1932 dalam mengukur sikap masyarakat. Dalam skala ini hanya menggunakan item yang secara pasti baik dan secara pastik buruk.&lt;br /&gt;&lt;br /&gt;selengkapnya pelajari disini:&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a title="View SKALA LINKERT on Scribd" href="http://www.scribd.com/doc/38210470/SKALA-LINKERT" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;SKALA LINKERT&lt;/a&gt; &lt;object id="doc_153172997136373" name="doc_153172997136373" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" height="600" width="100%"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38210470&amp;amp;access_key=key-gwqw4jf3gff72phc9gz&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_153172997136373" name="doc_153172997136373" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38210470&amp;amp;access_key=key-gwqw4jf3gff72phc9gz&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" height="600" width="100%"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Skala" rel="tag"&gt;Skala&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Linkert" rel="tag"&gt;Linkert&lt;/a&gt;, &lt;a href="http://technorati.com/tag/skala" rel="tag"&gt;skala&lt;/a&gt;, &lt;a href="http://technorati.com/tag/guttman" rel="tag"&gt;guttman&lt;/a&gt;, &lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38210470&amp;amp;access_key=key-gwqw4jf3gff72phc9gz&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Skala linkert pertama kali dikembangkan oleh Rensis Linkert pada tahun 1932 dalam mengukur sikap masyarakat. Dalam skala ini hanya menggunakan item yang secara pasti baik dan secara pastik buruk. selengkapnya pelajari disini: SKALA LINKERT Tags: Skala, Linkert, skala, guttman, tutorial, statistik</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Skala linkert pertama kali dikembangkan oleh Rensis Linkert pada tahun 1932 dalam mengukur sikap masyarakat. Dalam skala ini hanya menggunakan item yang secara pasti baik dan secara pastik buruk. selengkapnya pelajari disini: SKALA LINKERT Tags: Skala, Linkert, skala, guttman, tutorial, statistik</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>ANALISIS SWOT</title><link>http://adeita46.blogspot.com/2010/09/analisis-swot.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 13:01:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-4118600393540185671</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold;"&gt;ANALISIS SWOT&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Analisis swot adalah analsisi kondisi internal maupun eksternal suatu organisasi yang selanjutnya akan digunakan sebagai dasar untuk merancang strategi dan program kerja. Analisis internal meliputi penilaian terhadap faktor kekuatan dan kelemahan. Sementara, anlalisis eksternal mencakup faktor peluang dan tantangan.&lt;br /&gt;&lt;br /&gt;Selengkapnya baca tutorial ini:&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a title="View Analisis SWOT on Scribd" href="http://www.scribd.com/doc/38209238/Analisis-SWOT" style="margin: 12px auto 6px auto; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; -x-system-font: none; display: block; text-decoration: underline;"&gt;Analisis SWOT&lt;/a&gt; &lt;object id="doc_682962432556795" name="doc_682962432556795" height="600" width="100%" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline:none;" &gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38209238&amp;access_key=key-1t2z0towr0yd2xkafe7f&amp;page=1&amp;viewMode=list"&gt;   &lt;embed id="doc_682962432556795" name="doc_682962432556795" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38209238&amp;access_key=key-1t2z0towr0yd2xkafe7f&amp;page=1&amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" height="600" width="100%" wmode="opaque" bgcolor="#ffffff"&gt;&lt;/embed&gt;  &lt;/object&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38209238&amp;access_key=key-1t2z0towr0yd2xkafe7f&amp;page=1&amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>ANALISIS SWOT Analisis swot adalah analsisi kondisi internal maupun eksternal suatu organisasi yang selanjutnya akan digunakan sebagai dasar untuk merancang strategi dan program kerja. Analisis internal meliputi penilaian terhadap faktor kekuatan dan kelemahan. Sementara, anlalisis eksternal mencakup faktor peluang dan tantangan. Selengkapnya baca tutorial ini: Analisis SWOT</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>ANALISIS SWOT Analisis swot adalah analsisi kondisi internal maupun eksternal suatu organisasi yang selanjutnya akan digunakan sebagai dasar untuk merancang strategi dan program kerja. Analisis internal meliputi penilaian terhadap faktor kekuatan dan kelemahan. Sementara, anlalisis eksternal mencakup faktor peluang dan tantangan. Selengkapnya baca tutorial ini: Analisis SWOT</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Belajar Analisis Arima</title><link>http://adeita46.blogspot.com/2010/09/belajar-analisis-arima-arima-sering.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 12:33:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-704521507186540784</guid><description>&lt;span style="font-weight: bold;"&gt;Belajar Analisis Arima&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;ARIMA sering juga disebut metode runtun waktu Box-Jenkins. ARIMA sangat&lt;br /&gt;baik ketepatannya untuk peramalan jangka pendek, sedangkan untuk peramalan jangka&lt;br /&gt;panjang ketepatan peramalannya kurang baik. Biasanya akan cenderung flat&lt;br /&gt;(mendatar/konstan) untuk periode yang cukup panjang.&lt;br /&gt;Model Autoregresif Integrated Moving Average (ARIMA) adalah model yang&lt;br /&gt;secara penuh mengabaikan independen variabel dalam membuat peramalan. ARIMA&lt;br /&gt;menggunakan nilai masa lalu dan sekarang dari variabel dependen untuk menghasilkan&lt;br /&gt;peramalan jangka pendek yang akurat. ARIMA cocok jika observasi dari deret waktu (time&lt;br /&gt;series) secara statistik berhubungan satu sama lain (dependent).&lt;br /&gt;&lt;br /&gt;Selengkapnya baca disini ya:&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a title="View A Rim A on Scribd" href="http://www.scribd.com/doc/38208059/A-Rim-A" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;A Rim A&lt;/a&gt; &lt;object id="doc_742179721565859" name="doc_742179721565859" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" width="100%" height="600"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38208059&amp;amp;access_key=key-12jpglg3y7hp4s6d5z5f&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_742179721565859" name="doc_742179721565859" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38208059&amp;amp;access_key=key-12jpglg3y7hp4s6d5z5f&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" width="100%" height="600"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;, &lt;a href="http://technorati.com/tag/arima" rel="tag"&gt;arima&lt;/a&gt;,&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;,&lt;a href="http://technorati.com/tag/time" rel="tag"&gt;time&lt;/a&gt;, &lt;a href="http://technorati.com/tag/series" rel="tag"&gt;series&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38208059&amp;amp;access_key=key-12jpglg3y7hp4s6d5z5f&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Belajar Analisis Arima ARIMA sering juga disebut metode runtun waktu Box-Jenkins. ARIMA sangat baik ketepatannya untuk peramalan jangka pendek, sedangkan untuk peramalan jangka panjang ketepatan peramalannya kurang baik. Biasanya akan cenderung flat (mendatar/konstan) untuk periode yang cukup panjang. Model Autoregresif Integrated Moving Average (ARIMA) adalah model yang secara penuh mengabaikan independen variabel dalam membuat peramalan. ARIMA menggunakan nilai masa lalu dan sekarang dari variabel dependen untuk menghasilkan peramalan jangka pendek yang akurat. ARIMA cocok jika observasi dari deret waktu (time series) secara statistik berhubungan satu sama lain (dependent). Selengkapnya baca disini ya: A Rim A Tags: analisis, arima,analisis,time, series, statistik</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Belajar Analisis Arima ARIMA sering juga disebut metode runtun waktu Box-Jenkins. ARIMA sangat baik ketepatannya untuk peramalan jangka pendek, sedangkan untuk peramalan jangka panjang ketepatan peramalannya kurang baik. Biasanya akan cenderung flat (mendatar/konstan) untuk periode yang cukup panjang. Model Autoregresif Integrated Moving Average (ARIMA) adalah model yang secara penuh mengabaikan independen variabel dalam membuat peramalan. ARIMA menggunakan nilai masa lalu dan sekarang dari variabel dependen untuk menghasilkan peramalan jangka pendek yang akurat. ARIMA cocok jika observasi dari deret waktu (time series) secara statistik berhubungan satu sama lain (dependent). Selengkapnya baca disini ya: A Rim A Tags: analisis, arima,analisis,time, series, statistik</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Analisis Faktor dan Analsis Diskriminan</title><link>http://adeita46.blogspot.com/2010/09/analisis-faktor-dan-analsis-diskriminan.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 12:19:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-5881285736751411928</guid><description>&lt;span style="font-weight: bold;"&gt;Analisis Faktor dan Analsis Diskriminan&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;Analisis multivariat (multivariate analysis) merupakan salah satu jenis analisis&lt;br /&gt;statistik yang digunakan untuk menganalisis data yang terdiri dari banyak peubah bebas&lt;br /&gt;(independent variables) dan juga banyak peubah tak bebas (dependent variables). Dalam&lt;br /&gt;analisis ini, harap dibedakan data multivariat (multivariate) dengan data yang banyak&lt;br /&gt;peubahnya (multivariable). Data multivariat adalah data yang dikumpulkan dari dua atau&lt;br /&gt;&lt;div style="text-align: justify;"&gt;lebih observasi dengan mengukur observasi tersebut dengan beberapa karakteristik&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;br /&gt;Selengkapnya pelajari tutorial berikut:&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a title="View Analisis_Faktor &amp;amp; Diskriminan on Scribd" href="http://www.scribd.com/doc/38207605/Analisis-Faktor-amp-Diskriminan" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;Analisis_Faktor &amp;amp; Diskriminan&lt;/a&gt; &lt;object id="doc_984475662048181" name="doc_984475662048181" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" width="100%" height="600"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38207605&amp;amp;access_key=key-28s1h5oqrq7kkjs3g34w&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_984475662048181" name="doc_984475662048181" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38207605&amp;amp;access_key=key-28s1h5oqrq7kkjs3g34w&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" width="100%" height="600"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;, &lt;a href="http://technorati.com/tag/diskriminan" rel="tag"&gt;diskriminan&lt;/a&gt;,&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;,&lt;a href="http://technorati.com/tag/faktor" rel="tag"&gt;faktor&lt;/a&gt;, &lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38207605&amp;amp;access_key=key-28s1h5oqrq7kkjs3g34w&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Analisis Faktor dan Analsis Diskriminan Analisis multivariat (multivariate analysis) merupakan salah satu jenis analisis statistik yang digunakan untuk menganalisis data yang terdiri dari banyak peubah bebas (independent variables) dan juga banyak peubah tak bebas (dependent variables). Dalam analisis ini, harap dibedakan data multivariat (multivariate) dengan data yang banyak peubahnya (multivariable). Data multivariat adalah data yang dikumpulkan dari dua atau lebih observasi dengan mengukur observasi tersebut dengan beberapa karakteristik Selengkapnya pelajari tutorial berikut: Analisis_Faktor &amp;amp; Diskriminan Tags: analisis, diskriminan,analisis,faktor, tutorial, statistik</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Analisis Faktor dan Analsis Diskriminan Analisis multivariat (multivariate analysis) merupakan salah satu jenis analisis statistik yang digunakan untuk menganalisis data yang terdiri dari banyak peubah bebas (independent variables) dan juga banyak peubah tak bebas (dependent variables). Dalam analisis ini, harap dibedakan data multivariat (multivariate) dengan data yang banyak peubahnya (multivariable). Data multivariat adalah data yang dikumpulkan dari dua atau lebih observasi dengan mengukur observasi tersebut dengan beberapa karakteristik Selengkapnya pelajari tutorial berikut: Analisis_Faktor &amp;amp; Diskriminan Tags: analisis, diskriminan,analisis,faktor, tutorial, statistik</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>ANALISIS DISKRIMINAN</title><link>http://adeita46.blogspot.com/2010/09/analisis-diskriminan.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Mon, 27 Sep 2010 11:29:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-4999392660002640882</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold;"&gt;Analisis Diskriminan&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;div style="text-align: justify;"&gt;Analisis diskriminan adalah salah satu tehnik statistik yang bisa digunakan pada hubungan dependensi (hubungan antarvariabel dimana sudah bisa sibedakan mana variabel respon dan mana variabel penjelas). Lebih spesifik lagi, analsis diskriminan digunakan pada kasus dimana variabel respon berupa data kualitatif dan variabel penjelas berupa data kuantitatif. Analisis diskriminan bertujuan untuk mengklasifikasikan suatu individu atau observasi ke dalam kelompok yang paling bebas dan menyeluruh berdasarkan sejumlah variabel penjelas.&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Selengkapnya pelajari disini:&lt;br /&gt;&lt;br /&gt;&lt;a title="View ANALISIS DISKRIMINAN on Scribd" href="http://www.scribd.com/doc/38206942/ANALISIS-DISKRIMINAN" style="margin: 12px auto 6px; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; display: block; text-decoration: underline;"&gt;ANALISIS DISKRIMINAN&lt;/a&gt; &lt;object id="doc_374193066772105" name="doc_374193066772105" type="application/x-shockwave-flash" data="http://d1.scribdassets.com/ScribdViewer.swf" style="outline-color: -moz-use-text-color; outline-style: none; outline-width: medium;" width="100%" height="600"&gt;  &lt;param name="movie" value="http://d1.scribdassets.com/ScribdViewer.swf"&gt;  &lt;param name="wmode" value="opaque"&gt;   &lt;param name="bgcolor" value="#ffffff"&gt;   &lt;param name="allowFullScreen" value="true"&gt;   &lt;param name="allowScriptAccess" value="always"&gt;   &lt;param name="FlashVars" value="document_id=38206942&amp;amp;access_key=key-eyneeys8qr1zw50164x&amp;amp;page=1&amp;amp;viewMode=list"&gt;   &lt;embed id="doc_374193066772105" name="doc_374193066772105" src="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38206942&amp;amp;access_key=key-eyneeys8qr1zw50164x&amp;amp;page=1&amp;amp;viewMode=list" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="opaque" bgcolor="#ffffff" width="100%" height="600"&gt;&lt;/embed&gt;  &lt;/object&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;, &lt;a href="http://technorati.com/tag/diskriminan" rel="tag"&gt;diskriminan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><enclosure length="216385" type="application/x-shockwave-flash" url="http://d1.scribdassets.com/ScribdViewer.swf?document_id=38206942&amp;amp;access_key=key-eyneeys8qr1zw50164x&amp;amp;page=1&amp;amp;viewMode=list"/><itunes:explicit>no</itunes:explicit><itunes:subtitle>Analisis Diskriminan Analisis diskriminan adalah salah satu tehnik statistik yang bisa digunakan pada hubungan dependensi (hubungan antarvariabel dimana sudah bisa sibedakan mana variabel respon dan mana variabel penjelas). Lebih spesifik lagi, analsis diskriminan digunakan pada kasus dimana variabel respon berupa data kualitatif dan variabel penjelas berupa data kuantitatif. Analisis diskriminan bertujuan untuk mengklasifikasikan suatu individu atau observasi ke dalam kelompok yang paling bebas dan menyeluruh berdasarkan sejumlah variabel penjelas. Selengkapnya pelajari disini: ANALISIS DISKRIMINAN Tags: analisis, diskriminan, tutorial, statistik</itunes:subtitle><itunes:author>noreply@blogger.com (Lalu Yuri Ade Mulana)</itunes:author><itunes:summary>Analisis Diskriminan Analisis diskriminan adalah salah satu tehnik statistik yang bisa digunakan pada hubungan dependensi (hubungan antarvariabel dimana sudah bisa sibedakan mana variabel respon dan mana variabel penjelas). Lebih spesifik lagi, analsis diskriminan digunakan pada kasus dimana variabel respon berupa data kualitatif dan variabel penjelas berupa data kuantitatif. Analisis diskriminan bertujuan untuk mengklasifikasikan suatu individu atau observasi ke dalam kelompok yang paling bebas dan menyeluruh berdasarkan sejumlah variabel penjelas. Selengkapnya pelajari disini: ANALISIS DISKRIMINAN Tags: analisis, diskriminan, tutorial, statistik</itunes:summary><itunes:keywords>Belajar Statistik</itunes:keywords></item><item><title>Pengantar Ekonomi Mikro</title><link>http://adeita46.blogspot.com/2010/06/pengantar-ekonomi-mikro.html</link><category>Belajar Ekonomi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Tue, 15 Jun 2010 23:21:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-252029890728802469</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold; font-style: italic; color: rgb(0, 0, 153);"&gt;Pengantar Ekonomi Mikro....&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Ada tutorial lagi nih.. tentang Ekonomi Mikro... yang berminat langsung download aja ya Ebooknya di &lt;a style="font-weight: bold; font-style: italic; color: rgb(51, 255, 51);" href="http://www.ziddu.com/download/10267419/PengantarEkonomi.zip.html"&gt;Pengantar Ekonomi Mikro&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;Indah nya saling berbagi Ilmu...&lt;br /&gt;Semoga bermanfaat ya......&lt;br /&gt;&lt;br /&gt;kunjungi juga &lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com"&gt;blog bps kab. Bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Ekonomi" rel="tag"&gt;Ekonomi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Mikro" rel="tag"&gt;Mikro&lt;/a&gt;, &lt;a href="http://technorati.com/tag/pengantar" rel="tag"&gt;pengantar&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Mikroekonomi" rel="tag"&gt;Mikroekonomi&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total></item><item><title>Analisis Multivariate dengan Eviews</title><link>http://adeita46.blogspot.com/2010/06/analisis-multivariate-dengan-eviews.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sun, 13 Jun 2010 14:46:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-6362733639438271853</guid><description>&lt;div style="font-style: italic; font-weight: bold; text-align: center;"&gt;
&lt;span style="font-size: 100%;"&gt;Analisis Multivariate dengan Eviews&lt;/span&gt;&lt;br /&gt;
&lt;div style="text-align: left;"&gt;
&lt;span style="font-weight: normal;"&gt;Oke kawan, berikut saya punya tutorial analisis Multivariate dengan program eviews...yup langsung  download aja &lt;a href="http://adf.ly/Sj2h5" target="_blank"&gt;&lt;span style="color: #33ff33; font-weight: bold;"&gt;disini&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="font-weight: normal;"&gt;kunjungi juga &lt;/span&gt;&lt;a href="http://www.bpsbungo.blogspot.com/" style="font-weight: normal;"&gt;blog bps kab. Bungo&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;div class="tag_list"&gt;
Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/analisis" rel="tag"&gt;analisis&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Multivariate" rel="tag"&gt;Multivariate&lt;/a&gt;, &lt;a href="http://technorati.com/tag/dengan" rel="tag"&gt;dengan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Eviews" rel="tag"&gt;Eviews&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;
</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">2</thr:total></item><item><title>Sistem Persamaan Simultan (Simultaneous Equations)</title><link>http://adeita46.blogspot.com/2010/06/sistem-persamaan-simultan-simultaneous.html</link><category>Belajar Ekonomi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sun, 13 Jun 2010 14:33:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-5242963805666323407</guid><description>&lt;div style="text-align: justify;"&gt;
&lt;div style="font-style: italic; font-weight: bold; text-align: center;"&gt;
Sistem Persamaan Simultan&lt;br /&gt;
(Simultaneous Equations)&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
Model-model dengan persamaan tunggal (single equation) selama ini sesungguhnya mengabaikan masalah saling ketergantungan (interdependence) antar variabel yang menjadi karakteristik ekonomi modern. Sebaian besar aplikasi ekonometrik bersifat saling tergantung atau simultan, dan untuk memahami masalah ini adalah dengan cara memahami sifat saling mempengaruhi (feedback loops) dalam model-model yang kita bangun. Sebagian besar model-model dalam ekonomi dan bisnis bersifat simultan. Sebagai contoh supply dan demand jelas bersifat simultan. Bahkan model-model single equation juga sering bersifat simultan.&lt;br /&gt;
&lt;br /&gt;
&lt;div style="text-align: justify;"&gt;
Estimasi sistem persamaan simultan dengan menggunakan metode OLS (ordinary least squares) menyebabkan sejumlah kesulitan yang tidak terdapat pada single equation. Dalam model-model simultan, Classical Assumption III yang menyatakan bahwa semua explanatory variables (independent variables) harus tidak berkorelasi dengan error term (ε ) tidak terpenuhi. Hal ini terutama disebabkan estimasi koefisien dalam model-model simultan tersebut bias. Sebagai alternatifnya, prosedur estimasi Two-Stage Least Squares 2SLS digunakan dalam model-model simultan.&lt;br /&gt;
&lt;br /&gt;
Selengkapnya bisa di download &lt;a href="http://adf.ly/Sj2wa" target="_blank"&gt;&lt;span style="color: #3366ff; font-style: italic; font-weight: bold;"&gt;Simultaneous Equations&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
kunjungi juga &lt;a href="http://www.bpsbungo.blogspot.com/" style="font-style: italic;"&gt;blog bps kab. Bungo&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;div class="tag_list"&gt;
Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Sistem" rel="tag"&gt;Sistem&lt;/a&gt;, &lt;a href="http://technorati.com/tag/persamaan" rel="tag"&gt;persamaan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/simultan" rel="tag"&gt;simultan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Simultaneous" rel="tag"&gt;Simultaneous&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Equations" rel="tag"&gt;Equations&lt;/a&gt;, &lt;a href="http://technorati.com/tag/teori" rel="tag"&gt;teori&lt;/a&gt;, &lt;a href="http://technorati.com/tag/persamaan" rel="tag"&gt;persamaan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/simultan" rel="tag"&gt;simultan&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;
</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Theory of Multivariate Statistics</title><link>http://adeita46.blogspot.com/2010/06/theory-of-multivariate-statistics.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sun, 13 Jun 2010 14:19:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-1737345074213731328</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-style: italic; font-weight: bold; color: rgb(51, 102, 255);"&gt;Theory of Multivariate Statistics&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2Y52hL7eX9rRBFSRDD5906AkZAETqIjPFcqDSRNry8xbRVjdoksIfMUmUZKkbTyNSx3vNBfb03r5VNHWoE0K_NJtDIpcxZzJytp3tOuSWyASPTE03Oh6XxmLI_7D9pV-DFC-K057Yeh0/s1600/m.bmp"&gt;&lt;img style="margin: 0px auto 10px; display: block; text-align: center; cursor: pointer; width: 157px; height: 200px;" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2Y52hL7eX9rRBFSRDD5906AkZAETqIjPFcqDSRNry8xbRVjdoksIfMUmUZKkbTyNSx3vNBfb03r5VNHWoE0K_NJtDIpcxZzJytp3tOuSWyASPTE03Oh6XxmLI_7D9pV-DFC-K057Yeh0/s200/m.bmp" alt="" id="BLOGGER_PHOTO_ID_5482156046312181762" border="0" /&gt;&lt;/a&gt;Oke..ini nih aku punya buku  Theory of Multivariate Statistics&lt;br /&gt;karya David Bilodeau dan David Brenner...&lt;br /&gt;Langsung Download aja &lt;a href="http://www.ziddu.com/download/10261404/TheoryofMultivariateStatistics-M.Bilodeau.pdf.html"&gt;&lt;span style="color: rgb(51, 255, 51);font-size:100%;" &gt;&lt;span style="font-style: italic; font-weight: bold;"&gt;Disini&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;Semoga bermanfaat ya...&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;kunjungi juga &lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;blog bps kab. Bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Theory" rel="tag"&gt;Theory&lt;/a&gt;, &lt;a href="http://technorati.com/tag/of" rel="tag"&gt;of&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Multivariate" rel="tag"&gt;Multivariate&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ebook" rel="tag"&gt;Ebook&lt;/a&gt;, &lt;a href="http://technorati.com/tag/statistik" rel="tag"&gt;statistik&lt;/a&gt;, &lt;a href="http://technorati.com/tag/multivariate" rel="tag"&gt;multivariate&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2Y52hL7eX9rRBFSRDD5906AkZAETqIjPFcqDSRNry8xbRVjdoksIfMUmUZKkbTyNSx3vNBfb03r5VNHWoE0K_NJtDIpcxZzJytp3tOuSWyASPTE03Oh6XxmLI_7D9pV-DFC-K057Yeh0/s72-c/m.bmp" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Konsep Dasar Time Series</title><link>http://adeita46.blogspot.com/2010/06/konsep-dasar-time-series.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sat, 12 Jun 2010 17:14:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-6109029808193431519</guid><description>&lt;div style="text-align: center;"&gt;
&lt;span style="color: #000099; font-size: 130%;"&gt;PERAMALAN&lt;/span&gt;&lt;/div&gt;
&lt;div style="text-align: justify;"&gt;
&lt;div style="text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
Terdapat berbagai macam teknik peramalan (forecasting) untuk kasus-kasus data deret waktu, diantaranya metode dekomposisi, pemulusan (smoothing), regresi terhadap waktu dan ARIMA. Untuk memilih teknik mana yang akan dipakai, peneliti harus mempertimbangkan faktor-faktor berikut: bentuk ramalan yang diinginkan, kerangka waktu/periode peramalan, pola data, biaya peramalan, tingkat akurasi yang diinginkan, ketersediaan data dan kemudahan dalam pengoperasian dan pemahaman (Bowerman &amp;amp; O'Connel, 1987).&lt;br /&gt;
&lt;br /&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzsjDX7tSQGZV-nJQU0pKsNuGfPEZxFIIVffSvg1cqIl0XofIhPn0aDCASMxXxOY8h6LJtqLK06DbqheaO-MYaDzawb9EZ6F407OE3sX2pDiZeJOzVEgyLsoc1oSez36MGbUT9YjwY-U8/s1600/time.bmp" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"&gt;&lt;img alt="" border="0" id="BLOGGER_PHOTO_ID_5481830679325175442" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzsjDX7tSQGZV-nJQU0pKsNuGfPEZxFIIVffSvg1cqIl0XofIhPn0aDCASMxXxOY8h6LJtqLK06DbqheaO-MYaDzawb9EZ6F407OE3sX2pDiZeJOzVEgyLsoc1oSez36MGbUT9YjwY-U8/s320/time.bmp" style="cursor: pointer; display: block; height: 235px; margin: 0px auto 10px; text-align: center; width: 489px;" /&gt;&lt;/a&gt;Untuk lebih lengkapnya download disini ya... &lt;a href="http://adf.ly/Sj3Ss" target="_blank"&gt;Konsep Dasar Time Series&lt;/a&gt;&lt;br /&gt;
dan satu lagi modul sebagai pelengkap &lt;a href="http://adf.ly/Sj3XW" target="_blank"&gt;tehnik pemulusan data time seri&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a href="http://www.bpsbungo.blogspot.com/" style="font-style: italic;"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="tag_list"&gt;
Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Peramalan" rel="tag"&gt;Peramalan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/konsep" rel="tag"&gt;konsep&lt;/a&gt;, &lt;a href="http://technorati.com/tag/dasar" rel="tag"&gt;dasar&lt;/a&gt;, &lt;a href="http://technorati.com/tag/time" rel="tag"&gt;time&lt;/a&gt;, &lt;a href="http://technorati.com/tag/series" rel="tag"&gt;series&lt;/a&gt;, &lt;a href="http://technorati.com/tag/ekonometrika" rel="tag"&gt;ekonometrika&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;
</description><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzsjDX7tSQGZV-nJQU0pKsNuGfPEZxFIIVffSvg1cqIl0XofIhPn0aDCASMxXxOY8h6LJtqLK06DbqheaO-MYaDzawb9EZ6F407OE3sX2pDiZeJOzVEgyLsoc1oSez36MGbUT9YjwY-U8/s72-c/time.bmp" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Buku Econometric karya Bruce E Hansen</title><link>http://adeita46.blogspot.com/2010/06/buku-econometric-karya-bruce-e-hansen.html</link><category>Belajar Statistik</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sat, 12 Jun 2010 15:12:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-6497666710668821324</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-style: italic; font-weight: bold;"&gt;Buku Econometric karya Bruce E Hansen&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Posting kali ini menampilkan buku/E-book Econometric karya Bruce E Hansen... Bagi yang membutuhkan Literatur maupun Referensi Econometric dapat langsung Donload aja ya di&lt;br /&gt;&lt;a href="http://www.ziddu.com/download/10217772/EconometricsBruceEHansen.pdf.html"&gt;E-Book Econometric&lt;/a&gt;&lt;br /&gt;Semoga Bermanfaat ya...&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Buku" rel="tag"&gt;Buku&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Econometric" rel="tag"&gt;Econometric&lt;/a&gt;, &lt;a href="http://technorati.com/tag/E-book" rel="tag"&gt;E-book&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Econometric" rel="tag"&gt;Econometric&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ekonometrika" rel="tag"&gt;Ekonometrika&lt;/a&gt;, &lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Pengenalan JOOMLA</title><link>http://adeita46.blogspot.com/2010/06/pengenalan-joomla.html</link><category>Belajar Komputer</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Sat, 12 Jun 2010 14:42:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-1488548371119726225</guid><description>&lt;div style="text-align: justify;"&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold;"&gt;Pengenalan JOOMLA&lt;/span&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;&lt;br /&gt;Joomla&lt;/span&gt;, sebuah nama yang terkenal di kalangan pengguna internet maupun programmer web. &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; mulai terkenal sejak tahun 2005. Kegunaan &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; adalah sebagai &lt;span style="font-style: italic;"&gt;CMS portal&lt;/span&gt; yang berguna menyederhanakan proses pendesainan, pengembangan, dan maintenance sebuah &lt;span style="font-style: italic;"&gt;web portal&lt;/span&gt;. Tidak hanya itu, &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; juga memungkinkan &lt;span style="font-style: italic;"&gt;web portal&lt;/span&gt; memilki tampilan yang lumayan menarik, bahkan dalam konfigurasi standar sekalipun.&lt;br /&gt;&lt;br /&gt;Walaupun kita merasa tidak memiliki kemampuan teknis desain web maupun pemrograman web, kita tetap dapat membuat portal yang tidak buruk, dan dengan struktur yang amburadul sekalipun. Karena menggunakan &lt;span style="font-style: italic;"&gt;CMS portal&lt;/span&gt;, kita dapat dengan mudah menambahkan isi ke dalamnya atau mengubah tampilan portal dalam sekejap. Hal ini dapat dilakukan bahkan ketika kita tidak memiliki skill yang tinggi, atau dengan kata lain masih pemula (&lt;span style="font-style: italic;"&gt;beginner&lt;/span&gt;), tapi jika kita memiliki skill yang tinggi, tentunya akan lebih bisa memanfaatkan &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; dengan baik.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; adalah produk yang merupakan percabangan dari software &lt;span style="font-style: italic;"&gt;CMS portal&lt;/span&gt; yang telah ada sebelumnya yang bernama &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt;. Pencabangan ini disebabkan adanya permasalahan antara komunitas open source yang mendukung &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt; dengan Miro International PTY Ltd, yang merupakan pemegang brand &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt; tersebut. Pengembangan Joomla pertama kali adalah pada hari kemerdekaan Indonesia ke-60, yaitu pada tanggal 17 Agustus 2005.&lt;br /&gt;&lt;br /&gt;Inti permasalahan kenapa &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; dibuat terpisah dari &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt; karena para pengembang &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt; merasa ketentuan struktur organisasi yang dibuat bertentangan dengan perjanjian sebelumnya, yang telah disepakati oleh steering commitee dan tidak dibuat dengan berkonsultasi dengan stakeholder utama. Para pengembang pun menilai struktur tim tersebut melanggar nilai-nilai utama prinsip &lt;span style="font-style: italic;"&gt;open source&lt;/span&gt;.&lt;br /&gt;&lt;br /&gt;Setelah berdiri sendiri, &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; mengeluarkan rilis pertamanya bernama &lt;span style="font-weight: bold;"&gt;Joomla 1.0.0&lt;/span&gt; pada tanggal 16 September 2005. Versi pertama ini merupakan pemaketan ulang &lt;span style="font-style: italic;"&gt;Mambo&lt;/span&gt; versi 4.5.2.3 yang dikombinasikan dengan perbaikan keamanan. Setelah itu, versi-versi berikutnya dirilis secara teratur. Pada Januari 2008, &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; memiliki versi rilis 1.0.14 RC1. Tanda RC merupakan singkatan dari Release Candidate. Namun resminya, &lt;span style="font-weight: bold;"&gt;Joomla&lt;/span&gt; memiliki 2 versi rilis, yaitu rilis 1.0.x dan 1.5.x. Dua-duanya memiliki fitur yang sama dan kita bebas untuk menggunakan rilis yang kita sukai.&lt;br /&gt;&lt;br /&gt;Wah..wah..kerenkan...oke yang mau belajar jauh tentang JOOMLA  silakan Download &lt;a style="font-style: italic; font-weight: bold; color: rgb(51, 255, 51);" href="http://www.ziddu.com/download/10225075/Joomlatutorial.rar.html"&gt;disini&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/tutorial" rel="tag"&gt;tutorial&lt;/a&gt;, &lt;a href="http://technorati.com/tag/joomla" rel="tag"&gt;joomla&lt;/a&gt;, &lt;a href="http://technorati.com/tag/belajar" rel="tag"&gt;belajar&lt;/a&gt;, &lt;a href="http://technorati.com/tag/joomla" rel="tag"&gt;joomla&lt;/a&gt;, &lt;a href="http://technorati.com/tag/mengenal" rel="tag"&gt;mengenal&lt;/a&gt;, &lt;a href="http://technorati.com/tag/joomla" rel="tag"&gt;joomla&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Belajar SPSS</title><link>http://adeita46.blogspot.com/2010/06/belajar-spss.html</link><category>Belajar Komputer</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Fri, 11 Jun 2010 06:05:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-399946999491306344</guid><description>&lt;div style="text-align: center;"&gt;&lt;span style="font-weight: bold;"&gt;Pengenalan SPSS&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;Pada dasarnya statistika adalah ilmu yang berkaitan dengan kegiatan mengumpulkan, menata, menyajikan, menganalisis dan menginterprestasikan data menjadi informasi untuk membantu pengambilan keputusan yang efektif. Untuk membantu dalam mengolah dan menganalisis data dalam pengambilan keputusan maka dibutuhkan tools yang salah satu toolsnya adalah Program SPSS. Untuk lebih Jelasnya.. dapat temen-temen download ebooknya:&lt;br /&gt;&lt;br /&gt;1. &lt;a href="http://www.ziddu.com/download/10225243/PengenalanSPSS.rar.html"&gt;&lt;span style="font-style: italic; font-weight: bold; color: rgb(51, 255, 51);"&gt;Pengenalan SPSS&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;2. &lt;a href="http://www.ziddu.com/download/10225242/AplikasiKomputerSPSS.rar.html"&gt;&lt;span style="font-style: italic; font-weight: bold; color: rgb(51, 255, 51);"&gt;Aplikasi Komputer Dengan SPSS&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/belajar" rel="tag"&gt;belajar&lt;/a&gt;, &lt;a href="http://technorati.com/tag/spss" rel="tag"&gt;spss&lt;/a&gt;, &lt;a href="http://technorati.com/tag/download" rel="tag"&gt;download&lt;/a&gt;, &lt;a href="http://technorati.com/tag/ebook" rel="tag"&gt;ebook&lt;/a&gt;, &lt;a href="http://technorati.com/tag/spss" rel="tag"&gt;spss&lt;/a&gt;, &lt;a href="http://technorati.com/tag/pdf" rel="tag"&gt;pdf&lt;/a&gt;, &lt;a href="http://technorati.com/tag/spss" rel="tag"&gt;spss&lt;/a&gt;, &lt;a href="http://technorati.com/tag/aplikasi" rel="tag"&gt;aplikasi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/komputer" rel="tag"&gt;komputer&lt;/a&gt;, &lt;a href="http://technorati.com/tag/dengan" rel="tag"&gt;dengan&lt;/a&gt;, &lt;a href="http://technorati.com/tag/spss" rel="tag"&gt;spss&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total></item><item><title>Info Beasiswa UI</title><link>http://adeita46.blogspot.com/2010/06/info-beasiswa-ui.html</link><category>serba-serbi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Tue, 8 Jun 2010 12:43:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-3788791517431029239</guid><description>&lt;p style="text-align: center;"&gt;&lt;span id="result_box" class="medium_text"&gt;&lt;span style="background-color: rgb(255, 255, 255);" title="the graduate program in economics offers postgraduate studies with the following objectives"&gt;&lt;span style="font-weight: bold;"&gt;Program Pascasarjana (UI)&lt;/span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span id="result_box" class="medium_text"&gt;&lt;span style="background-color: rgb(255, 255, 255);" title="the graduate program in economics offers postgraduate studies with the following objectives"&gt;Program pascasarjana(UI) dalam bidang ekonomi menawarkan studi pascasarjana &lt;/span&gt;&lt;/span&gt;. Program ini diadakan dengan menjalin kerjasama dengan Universitas-Universitas di luar negeri:&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;1. Australian National University (ANU) – Canberra&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;2. Vrije Universiteit (VU) – Amsterdam&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;3. Universiteit van Amsterdam (UvA) – Amsterdam&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;4. National Graduate for Policy Students (GRIPS) – Jepang&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;5. International University of Japan – Jepang&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;6. Kobe University – Kobe&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;7. Yokohama national University – Yokohama&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;8. Hiroshima University - Japan&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;9. Tilburg University - Netherlands&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;10.International  Institute of Social Studies - Netherlands&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;11. Keio University - Japan&lt;/p&gt; &lt;p style="padding-left: 30px;"&gt;12. Ritsumeikan University - Japan&lt;/p&gt;&lt;br /&gt;Info Lebih Lanjut &lt;a href="http://www.ziddu.com/download/10192090/dualdegreeS2UI.pdf.html"&gt;&lt;span style="font-style: italic;"&gt;disin&lt;/span&gt;i&lt;br /&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/info" rel="tag"&gt;info&lt;/a&gt;, &lt;a href="http://technorati.com/tag/beasiswa" rel="tag"&gt;beasiswa&lt;/a&gt;, &lt;a href="http://technorati.com/tag/ui" rel="tag"&gt;ui&lt;/a&gt;, &lt;a href="http://technorati.com/tag/pascasarjana" rel="tag"&gt;pascasarjana&lt;/a&gt;, &lt;a href="http://technorati.com/tag/ekonomi" rel="tag"&gt;ekonomi&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data</title><link>http://adeita46.blogspot.com/2010/06/evaluation-of-inflation-forecasts-from.html</link><category>jurnal ekonomi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Fri, 4 Jun 2010 23:56:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-2061892834357412845</guid><description>&lt;div style="text-align: center; font-weight: bold; font-style: italic;"&gt;An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;Abstract&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify; font-weight: normal;"&gt;This paper carries out the task of evaluating inflation forecasts from the Livingston Survey and the Survey of Professional Forecasters, using the Real-Time Data Set for Macroeconomists as a source of real-time data. We examine the magnitude and patterns of revisions to the inflation rate based on the output price index. We then run tests on the forecasts from the surveys to see how good they are. We find that there are several episodes in which forecasters made persistent forecast errors, but the episodes are so short that by the time they can be identified, they have nearly disappeared. Thus, improving on the survey forecasts seems to be very difficult in real time, and the attempt to do so leads to increased forecast errors. &lt;a href="http://www.ziddu.com/download/10139750/EvaluationofInflationForecastsUsingReal-TimeData.pdf.html"&gt;&lt;span style="font-weight: bold; color: rgb(51, 204, 0);"&gt;Download Link&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/download" rel="tag"&gt;download&lt;/a&gt;, &lt;a href="http://technorati.com/tag/journal" rel="tag"&gt;journal&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Econometrika" rel="tag"&gt;Econometrika&lt;/a&gt;, &lt;a href="http://technorati.com/tag/jurnal" rel="tag"&gt;jurnal&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ekonomi" rel="tag"&gt;Ekonomi&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Ekonometrika" rel="tag"&gt;Ekonometrika&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total></item><item><title>Stock Market and Shareholder Protection: Are They Important for Economic Growth?</title><link>http://adeita46.blogspot.com/2010/06/stock-market-and-shareholder-protection.html</link><category>jurnal ekonomi</category><author>noreply@blogger.com (Lalu Yuri Ade Mulana)</author><pubDate>Fri, 4 Jun 2010 22:31:00 +0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-4703605133645074248.post-612445330120078716</guid><description>&lt;div style="text-align: center; font-weight: bold;"&gt;Stock Market and Shareholder Protection:&lt;br /&gt;Are They Important for Economic Growth?&lt;br /&gt;&lt;br /&gt;&lt;h2 style="text-align: justify;"&gt;&lt;span style="font-size:100%;"&gt;Abstract&lt;/span&gt;&lt;/h2&gt;&lt;div style="text-align: justify;"&gt; This paper tries to determine the long run equilibrium relationship between shareholder protection and stock market development and ultimately their relationship with economic growth in the context of India. A number of causality tests are employed to investigate the long run causal relationship in a system consisting of stock market development, legal development and economic growth. While developments in procedural law and investor protection cause market capitalization, the relationship between stock market and economic growth is ambiguous as the relationship is not consistent for different indicators of stock market development which is contrary to most of the existing literature. &lt;a href="http://www.ziddu.com/download/10139066/StockMarketandShareholderProtection.pdf.html"&gt;&lt;span style="font-style: italic; color: rgb(51, 255, 51);"&gt;Download link&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-style: italic;"&gt;kunjungi juga &lt;/span&gt;&lt;a style="font-style: italic;" href="http://www.bpsbungo.blogspot.com/"&gt;bps kab. bungo&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="tag_list"&gt;Tags: &lt;span class="tags"&gt;&lt;a href="http://technorati.com/tag/Stock" rel="tag"&gt;Stock&lt;/a&gt;, &lt;a href="http://technorati.com/tag/Market" rel="tag"&gt;Market&lt;/a&gt;, &lt;a href="http://technorati.com/tag/journal" rel="tag"&gt;journal&lt;/a&gt;, &lt;a href="http://technorati.com/tag/economic" rel="tag"&gt;economic&lt;/a&gt;, &lt;a href="http://technorati.com/tag/jurnal" rel="tag"&gt;jurnal&lt;/a&gt;, &lt;a href="http://technorati.com/tag/ekonomi" rel="tag"&gt;ekonomi&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total></item></channel></rss>