{"id":688,"date":"2023-07-29T02:24:49","date_gmt":"2023-07-29T02:24:49","guid":{"rendered":"https:\/\/statorials.org\/id\/kalkulator-mse\/"},"modified":"2023-07-29T02:24:49","modified_gmt":"2023-07-29T02:24:49","slug":"kalkulator-mse","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kalkulator-mse\/","title":{"rendered":"Kalkulator umk"},"content":{"rendered":"<p><script src=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/mathjs\/5.1.1\/math.js\"><\/script><script src=\"https:\/\/cdn.jsdelivr.net\/npm\/jstat@latest\/dist\/jstat.min.js\"><\/script><\/p>\n<style>\n@import url('https:\/\/fonts.googleapis.com\/css?family=Droid+Serif|Raleway');<\/p>\n<p>h1 {\ntext-align: center;\nfont-size: 50px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>p {\ncolor: black;\ntext-align: center;\nmargin-bottom: 15px;\nmargin-top: 15px;\nfont-family: 'Raleway', sans-serif;\n}<\/p>\n<p>#words {\npadding-left: 30px;\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#words_summary {\npadding-left: 70px;\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#words_text {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#words_text_area {\ndisplay:inline-block;\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 100px;\n}<\/p>\n<p>#calcTitle {\ntext-align: center;\nfont-size: 20px;\nmargin-bottom: 0px;\nfont-family: 'Raleway', serif;\n}<\/p>\n<p>#hr_top {\nwidth: 30%;\nmargin-bottom: 0px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#hr_bottom {\nwidth: 30%;\nmargin-top: 15px;\nborder: none;\nheight: 2px;\ncolor: black;\nbackground-color: black;\n}<\/p>\n<p>#words label, input {\n    display: inline-block;\n    vertical-align: baseline;\n    width: 350px;\n}<\/p>\n<p>    #button {\n      border: 1px solid;\n      border-radius: 10px;\n      margin-top: 20px;<\/p>\n<p>      cursor: pointer;\n      outline: none;\n      background-color: white;\n      color: black;\n      font-family: 'Work Sans', sans-serif;\n      border: 1px solid grey;\n      \/* Green *\/\n    }<\/p>\n<p>    #button:hover {\n      background-color: #f6f6f6;\n      border: 1px solid black;\n    }<\/p>\n<p>\t#words_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 350px;\nmargin: 25px auto;\nline-height: 1.75;\n}<\/p>\n<p>#summary_table {\ncolor: black;\nfont-family: Raleway;\nmax-width: 550px;\nmargin: 25px auto;\nline-height: 1.75;\npadding-left: 20px;\n}<\/p>\n<p>\t.label_radio {\n\ttext-align: center;\n    }<\/p>\n<p>td, tr, th {\n    border: 1px solid black;\n}\ntable {\n    border-collapse: collapse;\n}\ntd, th {\n    min-width: 50px;\n    height: 21px;\n}\n    .label_radio {\n\ttext-align: center;\n}<\/p>\n<p>#text_area_input {\n\tpadding-left: 35%;\n\tfloat: left;\n}<\/p>\n<p>svg:not(:root) {\n  overflow: visible;\n}<\/p>\n<\/style>\n<div id=\"words\">\n<p style=\"text-align: left\"><b>Mean square error (MSE)<\/b> adalah ukuran yang memberi tahu kita seberapa jauh rata-rata nilai prediksi kita dari nilai observasi dalam analisis regresi. Ini dihitung sebagai berikut:<\/p>\n<p style=\"text-align: left\"> <b>MSE<\/b> = \u03a3(P <sub>saya<\/sub> \u2013 O <sub>saya<\/sub> ) <sup>2<\/sup> \/ n<\/p>\n<p style=\"text-align: left\"> Emas:<\/p>\n<ul>\n<li> \u03a3 adalah simbol mewah yang berarti \u201cjumlah\u201d<\/li>\n<li> P <sub>i<\/sub> adalah nilai prediksi pengamatan <sup>ke-i<\/sup><\/li>\n<li> O <sub>i<\/sub> adalah nilai observasi untuk observasi <sup>ke-i<\/sup><\/li>\n<li> n adalah ukuran sampel<\/li>\n<\/ul>\n<p style=\"text-align: left\"> Untuk mengetahui MSE suatu regresi, cukup masukkan daftar nilai observasi dan nilai prediksi pada dua kotak di bawah, lalu klik tombol &#8220;Hitung&#8221;:<\/p>\n<\/div>\n<p style=\"text-align: center\"> <b>Nilai yang diamati:<\/b><\/p>\n<div id=\"words_table\"><textarea id=\"input_data_obs\" name=\"x\" rows=\"5\" cols=\"40\"> 34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24<\/textarea><\/div>\n<p style=\"text-align: center\"> <b>Nilai yang diprediksi:<\/b><\/p>\n<div id=\"words_table\"><textarea id=\"input_data_pred\" name=\"x\" rows=\"5\" cols=\"40\"> 37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23 <\/textarea><\/div>\n<div id=\"words_table\"><input type=\"button\" id=\"button\" onclick=\"calc()\" value=\"Calculate\"><\/div>\n<div id=\"words_table\">\n<p style=\"text-align: center\"> <b>UMK<\/b> = <span id=\"RMSE\">2,43242<\/span><\/p>\n<\/div>\n<div id=\"words_table\">\n<p style=\"text-align: center\"><span id=\"error_msg\"><\/span><\/p>\n<\/div>\n<p><script><\/p>\n<p>function calc() {<\/p>\n<p>var obs = document.getElementById('input_data_obs').value.split(',').map(Number);<\/p>\n<p>var pred = document.getElementById('input_data_pred').value.split(',').map(Number);<\/p>\n<p>\/\/check that both lists are equal length\nif (obs.length - pred.length == 0) {\ndocument.getElementById('error_msg').innerHTML = '';\n\/\/calculate RMSE\nlet error = 0\n\tfor (let i = 0; i < obs.length; i++) {\n\t\terror += Math.pow((pred[i] - obs[i]), 2)\n\t}\n\nvar RMSE = error \/ obs.length;\ndocument.getElementById('RMSE').innerHTML = RMSE.toFixed(5);\n}\n\nelse {\n document.getElementById('RMSE').innerHTML = '';\n document.getElementById('error_msg').innerHTML = 'The two lists must be of equal length.';\n}\n\t  \n} \/\/end calc function\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mean square error (MSE) adalah ukuran yang memberi tahu kita seberapa jauh rata-rata nilai prediksi kita dari nilai observasi dalam analisis regresi. Ini dihitung sebagai berikut: MSE = \u03a3(P saya \u2013 O saya ) 2 \/ n Emas: \u03a3 adalah simbol mewah yang berarti \u201cjumlah\u201d P i adalah nilai prediksi pengamatan ke-i O i adalah [&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>Kalkulator MSE - Statologi<\/title>\n<meta name=\"description\" content=\"Kalkulator ini menemukan MSE untuk daftar nilai yang diamati dan diprediksi.\" \/>\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\/kalkulator-mse\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kalkulator MSE - Statologi\" \/>\n<meta property=\"og:description\" content=\"Kalkulator ini menemukan MSE untuk daftar nilai yang diamati dan diprediksi.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kalkulator-mse\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T02:24:49+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<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-mse\/\",\"url\":\"https:\/\/statorials.org\/id\/kalkulator-mse\/\",\"name\":\"Kalkulator MSE - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T02:24:49+00:00\",\"dateModified\":\"2023-07-29T02:24:49+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Kalkulator ini menemukan MSE untuk daftar nilai yang diamati dan diprediksi.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-mse\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kalkulator-mse\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kalkulator-mse\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Kalkulator umk\"}]},{\"@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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