{"id":3966,"date":"2023-07-14T11:22:08","date_gmt":"2023-07-14T11:22:08","guid":{"rendered":"https:\/\/statorials.org\/id\/wmape-di-sungai\/"},"modified":"2023-07-14T11:22:08","modified_gmt":"2023-07-14T11:22:08","slug":"wmape-di-sungai","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/wmape-di-sungai\/","title":{"rendered":"Cara menghitung wmape di r (dengan contoh)"},"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>WMAPE<\/strong> , yang merupakan singkatan dari <strong>persentase kesalahan absolut rata-rata tertimbang<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Rumus untuk menghitung WMAPE adalah:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>WMAPE<\/strong> = (\u03a3|y <sub>i<\/sub> \u2013 \u0177 <sub>i<\/sub> |*w <sub>i<\/sub> ) \/ (\u03a3y <sub>i<\/sub> *w <sub>i<\/sub> ) * 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 yang berarti \u201cjumlah\u201d<\/span><\/li>\n<li> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><b>y <sub>i<\/sub><\/b> \u2013 Nilai sebenarnya dari observasi <sup>ke-i<\/sup><\/span><\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>\u0177 <sub>i<\/sub><\/b> \u2013 Nilai prediksi observasi <sup>ke<\/sup> -i<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>w <sub>i<\/sub><\/b> \u2013 Bobot <sup>pengamatan<\/sup> ke-i<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kita dapat mendefinisikan fungsi berikut untuk menghitung WMAPE di R:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>find_WMAPE &lt;- <span style=\"color: #008000;\">function<\/span> (y, yhat, w){\n  <span style=\"color: #008000;\">return<\/span> (sum(abs(y-yhat)*w)\/sum(y*w)*100)\n}\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan fungsi ini dalam praktiknya.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: menghitung WMAPE di R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki kerangka data berikut di R yang berisi informasi tentang penjualan aktual dan perkiraan untuk toko ritel:<\/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(23, 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 23 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 WMAPE selisih antara penjualan aktual dan perkiraan, kita dapat menentukan vektor bobot yang akan digunakan, lalu menggunakan fungsi WMAPE yang telah kita definisikan sebelumnya:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define function to calculate WMAPE\n<\/span>find_WMAPE &lt;- <span style=\"color: #008000;\">function<\/span> (y, yhat, w){\n  <span style=\"color: #008000;\">return<\/span> (sum(abs(y-yhat)*w)\/sum(y*w)*100)\n}\n\n<span style=\"color: #008080;\">#define weights for each month\n<\/span>weights &lt;- c(20, 20, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6)\n\n<span style=\"color: #008080;\">#calculate WMAPE\n<\/span>find_WMAPE(df$actual, df$predicted, weights)\n\n[1] 13.27635\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">WMAPE untuk model ini ternyata <strong>13,27635%<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Artinya, persentase kesalahan absolut rata-rata tertimbang antara nilai penjualan yang diprediksi dengan nilai penjualan sebenarnya adalah 13,27635%.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kami memberikan bobot yang jauh lebih besar pada nilai bulan Januari dan Februari dalam contoh ini.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bergantung pada masalah khusus Anda, Anda dapat menetapkan bobot yang lebih besar atau lebih kecil pada pengamatan yang berbeda berdasarkan pentingnya setiap kesalahan dalam model Anda.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/kartu-r\/\" target=\"_blank\" rel=\"noopener\">Cara menghitung MAPE di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kecil-di-sungai\/\" target=\"_blank\" rel=\"noopener\">Cara menghitung SMAPE di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/cara-menghitung-rmse-di-r\/\" target=\"_blank\" rel=\"noopener\">Cara menghitung RMSE di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Salah satu metrik yang paling umum digunakan untuk mengukur keakuratan perkiraan model adalah WMAPE , yang merupakan singkatan dari persentase kesalahan absolut rata-rata tertimbang . Rumus untuk menghitung WMAPE adalah: WMAPE = (\u03a3|y i \u2013 \u0177 i |*w i ) \/ (\u03a3y i *w i ) * 100 Emas: \u03a3 \u2013 simbol yang berarti \u201cjumlah\u201d [&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 WMAPE di R (dengan contoh) \u2013 Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung WMAPE (rata-rata tertimbang persentase kesalahan absolut) di R, termasuk 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\/wmape-di-sungai\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung WMAPE di R (dengan contoh) \u2013 Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung WMAPE (rata-rata tertimbang persentase kesalahan absolut) di R, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/wmape-di-sungai\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-14T11:22:08+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\/wmape-di-sungai\/\",\"url\":\"https:\/\/statorials.org\/id\/wmape-di-sungai\/\",\"name\":\"Cara menghitung WMAPE di R (dengan contoh) \u2013 Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-14T11:22:08+00:00\",\"dateModified\":\"2023-07-14T11:22:08+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung WMAPE (rata-rata tertimbang persentase kesalahan absolut) di R, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/wmape-di-sungai\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/wmape-di-sungai\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/wmape-di-sungai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung wmape di r (dengan 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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