{"id":677,"date":"2023-07-29T03:17:03","date_gmt":"2023-07-29T03:17:03","guid":{"rendered":"https:\/\/statorials.org\/id\/kartu-r\/"},"modified":"2023-07-29T03:17:03","modified_gmt":"2023-07-29T03:17:03","slug":"kartu-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kartu-r\/","title":{"rendered":"Cara menghitung mape di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Salah satu metrik yang paling umum digunakan untuk mengukur keakuratan perkiraan model adalah <strong>MAPE<\/strong> , yang merupakan singkatan dari <strong>persentase kesalahan absolut rata-rata<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Rumus untuk menghitung MAPE adalah sebagai berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>MAPE<\/strong> = (1\/n) * \u03a3(|aktual \u2013 perkiraan| \/ |aktual|) * 100<\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u03a3<\/strong> \u2013 simbol mewah yang berarti \u201cjumlah\u201d<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n<\/strong> \u2013 ukuran sampel<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>nyata<\/strong> \u2013 nilai sebenarnya dari data<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>perkiraan<\/strong> \u2013 nilai yang diharapkan dari data<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">MAPE umum digunakan karena mudah diinterpretasikan dan dijelaskan. Misalnya nilai MAPE 6% berarti selisih rata-rata antara nilai prediksi dan nilai sebenarnya adalah 6%.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menyediakan dua metode berbeda yang dapat Anda gunakan untuk menghitung MAPE di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Metode 1: Tulis fungsi Anda sendiri<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita mempunyai kumpulan data dengan kolom berisi nilai data aktual dan kolom berisi nilai data prediksi:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dataset<\/span>\ndata &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (actual=c(34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24),\n                   forecast=c(37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23))\n<span style=\"color: #008080;\">\n#view dataset<\/span>\ndata\n\n   current forecast\n1 34 37\n2 37 40\n3 44 46\n4 47 44\n5 48 46\n6 48 50\n7 46 45\n8 43 44\n9 32 34\n10 27 30\n11 26 22\n12 24 23\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Untuk menghitung MAPE, kita dapat menggunakan fungsi berikut:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate MAPE<\/span>\nmean(abs((data$actual-data$forecast)\/data$actual)) * 100\n\n[1] 6.467108\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">MAPE untuk model ini ternyata <strong>6,467%<\/strong> . Artinya, rata-rata selisih mutlak antara nilai prediksi dengan nilai sebenarnya adalah 6,467%.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Metode 2: Gunakan paket<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kita juga dapat menghitung MAPE untuk kumpulan data yang sama menggunakan fungsi <strong>MAPE()<\/strong> dari paket <strong>MLmetrics<\/strong> , yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>MAPE(y_pred, y_true)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>y_pred:<\/strong> nilai prediksi<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>y_true:<\/strong> nilai nyata<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Berikut adalah sintaks yang akan kita gunakan dalam contoh kita:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load MLmetrics package<\/span>\n<span style=\"color: #008000;\">library<\/span> (MLmetrics)\n\n<span style=\"color: #008080;\">#calculate MAPE<\/span>\nMAPE(data$forecast, data$actual)\n\n[1] 0.06467108<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ini menghasilkan nilai MAPE yang sama yaitu <strong>6,467%<\/strong> yang kita hitung menggunakan metode sebelumnya.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Salah satu metrik yang paling umum digunakan untuk mengukur keakuratan perkiraan model adalah MAPE , yang merupakan singkatan dari persentase kesalahan absolut rata-rata . Rumus untuk menghitung MAPE adalah sebagai berikut: MAPE = (1\/n) * \u03a3(|aktual \u2013 perkiraan| \/ |aktual|) * 100 Emas: \u03a3 \u2013 simbol mewah yang berarti \u201cjumlah\u201d n \u2013 ukuran sampel nyata [&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 MAPE di R - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana cara menghitung MAPE di R, disertai beberapa contoh.\" \/>\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\/kartu-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung MAPE di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana cara menghitung MAPE di R, disertai beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kartu-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T03:17:03+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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kartu-r\/\",\"url\":\"https:\/\/statorials.org\/id\/kartu-r\/\",\"name\":\"Cara menghitung MAPE di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T03:17:03+00:00\",\"dateModified\":\"2023-07-29T03:17:03+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana cara menghitung MAPE di R, disertai beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kartu-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kartu-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kartu-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung mape di r\"}]},{\"@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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