{"id":1539,"date":"2023-07-25T23:30:04","date_gmt":"2023-07-25T23:30:04","guid":{"rendered":"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/"},"modified":"2023-07-25T23:30:04","modified_gmt":"2023-07-25T23:30:04","slug":"koefisien-korelasi-intrakelas-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/","title":{"rendered":"Cara menghitung koefisien korelasi intrakelas dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas\/\" target=\"_blank\" rel=\"noopener\">Koefisien korelasi intrakelas<\/a> (ICC) digunakan untuk menentukan apakah item atau topik dapat dinilai secara andal oleh penilai yang berbeda.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai ICC dapat berkisar dari 0 hingga 1, dengan 0 menunjukkan tidak ada <a href=\"https:\/\/statorials.org\/id\/analisis-keandalan\/\" target=\"_blank\" rel=\"noopener\">reliabilitas<\/a> di antara penilai dan 1 menunjukkan reliabilitas sempurna.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Cara termudah untuk menghitung ICC dengan Python adalah dengan menggunakan fungsi <a href=\"https:\/\/pingouin-stats.org\/generated\/pingouin.intraclass_corr.html\" target=\"_blank\" rel=\"noopener\">penguin.intraclass_corr()<\/a> dari <a href=\"https:\/\/pingouin-stats.org\/index.html\" target=\"_blank\" rel=\"noopener\">paket statistik penguin<\/a> , yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>pengouin.intraclass_corr(data, target, evaluator, nilai)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong> Nama bingkai data<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>target :<\/strong> Nama kolom yang berisi \u201ctarget\u201d (hal-hal yang diperhatikan)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>reviewer:<\/strong> Nama kolom yang berisi reviewer<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>catatan:<\/strong> Nama kolom yang berisi catatan<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tutorial ini memberikan contoh praktis penggunaan fitur ini.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 1: Instal Penguin<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Pertama-tama, Anda perlu menginstal Penguin:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><b>pip <span style=\"color: #008000;\">install<\/span> penguin<\/b><\/span><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 2: Buat datanya<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan empat juri berbeda diminta untuk mengevaluasi kualitas enam ujian masuk perguruan tinggi yang berbeda. Kita dapat membuat kerangka data berikut untuk menampung skor juri:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">exam<\/span> ': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6,\n                            1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6],\n                   ' <span style=\"color: #ff0000;\">judge<\/span> ': ['A', 'A', 'A', 'A', 'A', 'A',\n                             'B', 'B', 'B', 'B', 'B', 'B',\n                             'C', 'C', 'C', 'C', 'C', 'C',\n                             'D', 'D', 'D', 'D', 'D', 'D'],\n                   ' <span style=\"color: #ff0000;\">rating<\/span> ': [1, 1, 3, 6, 6, 7, 2, 3, 8, 4, 5, 5,\n                              0, 4, 1, 5, 5, 6, 1, 2, 3, 3, 6, 4]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\texam judge rating\n0 1 A 1\n1 2 A 1\n2 3 A 3\n3 4 To 6\n4 5 A 6\n<\/span><\/span><\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 3: Hitung koefisien korelasi intrakelas<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Selanjutnya, kita akan menggunakan kode berikut untuk menghitung koefisien korelasi intrakelas:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> penguin <span style=\"color: #008000;\">as<\/span> pg\n\nicc = pg. <span style=\"color: #3366ff;\">intraclass_corr<\/span> (data=df, targets=' <span style=\"color: #ff0000;\">exam<\/span> ', raters=' <span style=\"color: #ff0000;\">judge<\/span> ', ratings=' <span style=\"color: #ff0000;\">rating<\/span> ')\n\nicc. <span style=\"color: #3366ff;\">set_index<\/span> (' <span style=\"color: #ff0000;\">Type<\/span> ')\n\n        Description ICC F df1 df2 pval CI95%\nKind\t\t\t\t\t\t\t\nICC1 Single raters absolute 0.505252 5.084916 5 18 0.004430 [0.11, 0.89]\nICC2 Single random raters 0.503054 4.909385 5 15 0.007352 [0.1, 0.89]\nICC3 Single fixed raters 0.494272 4.909385 5 15 0.007352 [0.09, 0.88]\nICC1k Average raters absolute 0.803340 5.084916 5 18 0.004430 [0.33, 0.97]\nICC2k Average random raters 0.801947 4.909385 5 15 0.007352 [0.31, 0.97]\nICC3k Average fixed raters 0.796309 4.909385 5 15 0.007352 [0.27, 0.97]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Fungsi ini mengembalikan hasil berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Deskripsi:<\/strong> Jenis ICC yang dihitung<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>ICC:<\/strong> Koefisien korelasi intrakelas (ICC)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>F:<\/strong> Nilai F dari ICC<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>df1, df2 :<\/strong> derajat kebebasan yang berhubungan dengan nilai F<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>pval:<\/strong> Nilai p yang terkait dengan nilai F<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>CI95%:<\/strong> interval kepercayaan 95% untuk ICC<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa ada enam ICC berbeda yang dihitung di sini. Memang ada beberapa cara menghitung ICC berdasarkan asumsi berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Model:<\/strong> efek acak satu arah, efek acak dua arah, atau efek campuran dua arah<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Jenis hubungan:<\/strong> konsistensi atau kesepakatan mutlak<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Unit:<\/strong> penilai tunggal atau rata-rata penilai<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Untuk penjelasan rinci mengenai asumsi tersebut, silakan merujuk ke <a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas\/\" target=\"_blank\" rel=\"noopener\">artikel ini<\/a> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Koefisien korelasi intrakelas (ICC) digunakan untuk menentukan apakah item atau topik dapat dinilai secara andal oleh penilai yang berbeda. Nilai ICC dapat berkisar dari 0 hingga 1, dengan 0 menunjukkan tidak ada reliabilitas di antara penilai dan 1 menunjukkan reliabilitas sempurna. Cara termudah untuk menghitung ICC dengan Python adalah dengan menggunakan fungsi penguin.intraclass_corr() dari paket [&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>Cara Menghitung Koefisien Korelasi Intrakelas dengan Python<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung koefisien korelasi intrakelas dengan Python, dengan contoh langkah demi langkah.\" \/>\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-korelasi-intrakelas-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Menghitung Koefisien Korelasi Intrakelas dengan Python\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung koefisien korelasi intrakelas dengan Python, dengan contoh langkah demi langkah.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T23:30:04+00:00\" \/>\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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/\",\"url\":\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/\",\"name\":\"Cara Menghitung Koefisien Korelasi Intrakelas dengan Python\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-25T23:30:04+00:00\",\"dateModified\":\"2023-07-25T23:30:04+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung koefisien korelasi intrakelas dengan Python, dengan contoh langkah demi langkah.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/koefisien-korelasi-intrakelas-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung koefisien korelasi intrakelas dengan python\"}]},{\"@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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