{"id":835,"date":"2023-07-28T14:39:22","date_gmt":"2023-07-28T14:39:22","guid":{"rendered":"https:\/\/statorials.org\/id\/kartu-python\/"},"modified":"2023-07-28T14:39:22","modified_gmt":"2023-07-28T14:39:22","slug":"kartu-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kartu-python\/","title":{"rendered":"Cara menghitung mape dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Rata-rata persentase kesalahan absolut (MAPE)<\/strong> biasanya digunakan untuk mengukur akurasi prediksi model. Ini dihitung sebagai berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>MAPE<\/strong> = (1\/n) * \u03a3(|aktual \u2013 prediksi| \/ |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 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>prediksi<\/strong> \u2013 nilai data yang diprediksi<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">MAPE umum digunakan karena mudah diinterpretasikan dan dijelaskan. Misalnya nilai MAPE sebesar 11,5% berarti selisih rata-rata antara nilai prediksi dengan nilai sebenarnya adalah 11,5%.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Semakin rendah nilai MAPE, semakin baik model dalam memprediksi nilai. Misalnya model dengan MAPE 5% lebih akurat dibandingkan model dengan MAPE 10%.<\/span><\/p>\n<h3> <strong>Cara menghitung MAPE dengan Python<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Tidak ada fungsi bawaan Python untuk menghitung MAPE, namun kita dapat membuat fungsi sederhana untuk melakukannya:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\ndef<\/span> mape( <span style=\"color: #3752cc;\">actual<\/span> , <span style=\"color: #3752cc;\">pred<\/span> ): \n    actual, pred = np.array(actual), np.array(pred)\n    <span style=\"color: #107d3f;\">return<\/span> np.mean(np.abs((actual - pred) \/ actual)) * 100\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita kemudian dapat menggunakan fungsi ini untuk menghitung MAPE untuk dua tabel: satu yang berisi nilai data aktual dan satu lagi yang berisi nilai data prediksi.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>actual = [12, 13, 14, 15, 15,22, 27]\npred = [11, 13, 14, 14, 15, 16, 18]\n\nmap(actual, pred)\n\n10.8009\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasil tersebut terlihat rata-rata persentase error absolut model ini adalah <strong>10,8009%<\/strong> . Dengan kata lain selisih rata-rata antara nilai prediksi dengan nilai sebenarnya adalah sebesar 10,8009%.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Tindakan pencegahan untuk menggunakan MAPE<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Meskipun MAPE mudah untuk dihitung dan diinterpretasikan, penggunaannya memiliki dua potensi kelemahan:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> Karena rumus menghitung persentase kesalahan absolut adalah |prediksi aktual| \/ |nyata| ini berarti MAPE tidak akan terdefinisi jika salah satu nilai sebenarnya adalah nol.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> MAPE tidak boleh digunakan dengan data bervolume rendah. Misalnya, jika permintaan aktual suatu barang adalah 2 dan perkiraannya adalah 1, nilai persentase kesalahan absolutnya adalah |2-1| \/ |2| = 50%, yang membuat kesalahan perkiraan tampak cukup tinggi, meskipun perkiraan hanya meleset 1 satuan.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rata-rata persentase kesalahan absolut (MAPE) biasanya digunakan untuk mengukur akurasi prediksi model. Ini dihitung sebagai berikut: MAPE = (1\/n) * \u03a3(|aktual \u2013 prediksi| \/ |aktual|) * 100 Emas: \u03a3 \u2013 simbol yang berarti \u201cjumlah\u201d n \u2013 ukuran sampel nyata \u2013 nilai sebenarnya dari data prediksi \u2013 nilai data yang diprediksi MAPE umum digunakan karena mudah [&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 dengan Python - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara menghitung Mean Absolute Percentage Error (MAPE) dengan Python.\" \/>\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-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung MAPE dengan Python - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara menghitung Mean Absolute Percentage Error (MAPE) dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kartu-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T14:39:22+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-python\/\",\"url\":\"https:\/\/statorials.org\/id\/kartu-python\/\",\"name\":\"Cara menghitung MAPE dengan Python - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T14:39:22+00:00\",\"dateModified\":\"2023-07-28T14:39:22+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara menghitung Mean Absolute Percentage Error (MAPE) dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kartu-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kartu-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kartu-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung mape 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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