{"id":1016,"date":"2023-07-27T23:50:18","date_gmt":"2023-07-27T23:50:18","guid":{"rendered":"https:\/\/statorials.org\/id\/koefisien-phi\/"},"modified":"2023-07-27T23:50:18","modified_gmt":"2023-07-27T23:50:18","slug":"koefisien-phi","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/koefisien-phi\/","title":{"rendered":"Koefisien phi: pengertian &amp; contoh"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Koefisien Phi<\/strong> (terkadang disebut <em>koefisien kontingensi kuadrat rata-rata<\/em> ) adalah ukuran hubungan antara dua variabel biner.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk tabel 2\u00d72 yang diberikan untuk dua variabel acak <em>x<\/em> dan <em>y<\/em> :<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10491 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/phicoef1.png\" alt=\"\" width=\"160\" height=\"155\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Koefisien Phi dapat dihitung sebagai berikut:<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">\u03a6 = (AD-BC) \/ \u221a <span style=\"text-decoration: overline;\">(A+B)(C+D)(A+C)(B+D)<\/span><\/span><\/strong><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Perhitungan koefisien Phi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita ingin mengetahui apakah gender dikaitkan dengan preferensi terhadap suatu partai politik atau tidak. Kami mengambil sampel acak sederhana dari 25 pemilih dan menanyakan preferensi partai politik mereka. Berikut tabel hasil surveinya:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10492 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/phicoef2.png\" alt=\"Contoh penghitungan koefisien Phi\" width=\"175\" height=\"178\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Koefisien Phi antara kedua variabel dapat kita hitung sebagai berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u03a6 = (4*4-9*8) \/ \u221a <span style=\"text-decoration: overline;\">(4+9)(8+4)(4+8)(9+4)<\/span> = (16-72) \/ \u221a <span style=\"text-decoration: overline;\">24336<\/span> = <strong>-0,3589<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><em><strong>Catatan:<\/strong> Kita juga dapat menghitungnya menggunakan kalkulator koefisien Phi.<\/em><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Bagaimana menafsirkan koefisien Phi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Mirip dengan koefisien korelasi Pearson, koefisien Phi mengambil nilai antara -1 dan 1 dimana:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>-1<\/strong> menunjukkan hubungan negatif sempurna antara kedua variabel.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> menunjukkan tidak ada hubungan antara kedua variabel.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Angka 1<\/strong> menunjukkan hubungan positif sempurna antara kedua variabel.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Secara umum, semakin jauh koefisien Phi dari nol, semakin kuat hubungan antara kedua variabel tersebut.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dengan kata lain, semakin jauh koefisien Phi dari nol, semakin banyak bukti adanya pola sistematis antara kedua variabel.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-pearson-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">Panduan Koefisien Korelasi Pearson<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/ujian-yang-tepat-bagi-para-nelayan\/\" target=\"_blank\" rel=\"noopener noreferrer\">Panduan Tes Tepat Fisher<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/tes-kemandirian-chi-kuadrat\/\" target=\"_blank\" rel=\"noopener noreferrer\">Panduan Uji Kemerdekaan Chi-Kuadrat<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Koefisien Phi (terkadang disebut koefisien kontingensi kuadrat rata-rata ) adalah ukuran hubungan antara dua variabel biner. Untuk tabel 2\u00d72 yang diberikan untuk dua variabel acak x dan y : Koefisien Phi dapat dihitung sebagai berikut: \u03a6 = (AD-BC) \/ \u221a (A+B)(C+D)(A+C)(B+D) Contoh: Perhitungan koefisien Phi Misalkan kita ingin mengetahui apakah gender dikaitkan dengan preferensi terhadap [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Koefisien Phi: definisi dan contoh - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang koefisien Phi, beserta definisi dan contohnya.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/koefisien-phi\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Koefisien Phi: definisi dan contoh - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang koefisien Phi, beserta definisi dan contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/koefisien-phi\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T23:50:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/phicoef1.png\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/koefisien-phi\/\",\"url\":\"https:\/\/statorials.org\/id\/koefisien-phi\/\",\"name\":\"Koefisien Phi: definisi dan contoh - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-27T23:50:18+00:00\",\"dateModified\":\"2023-07-27T23:50:18+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang koefisien Phi, beserta definisi dan contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/koefisien-phi\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/koefisien-phi\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/koefisien-phi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Koefisien phi: pengertian &amp; contoh\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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