{"id":316,"date":"2023-08-02T15:23:14","date_gmt":"2023-08-02T15:23:14","guid":{"rendered":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/"},"modified":"2023-08-02T15:23:14","modified_gmt":"2023-08-02T15:23:14","slug":"regresi-polinomial-1","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/","title":{"rendered":"Regresi polinomial"},"content":{"rendered":"<p>Artikel ini menjelaskan apa itu regresi polinomial dalam statistik dan bagaimana cara kerjanya. Selain itu, Anda akan dapat melihat contoh pelaksanaan regresi polinomial. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%c2%bfque-es-la-regresion-polinomial\"><\/span> Apa itu regresi polinomial?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> <strong>Regresi polinomial<\/strong> , atau <strong>regresi polinomial<\/strong> , adalah model regresi yang hubungan antara variabel bebas X dan variabel terikat Y dimodelkan menggunakan polinomial.<\/p>\n<p> Misalnya, persamaan model regresi polinomial kuadrat adalah y=\u03b2 <sub>0<\/sub> +\u03b2 <sub>1<\/sub> x+\u03b2 <sub>2<\/sub> x <sup>2<\/sup> +\u03b5.<\/p>\n<p> Regresi polinomial berguna untuk menyesuaikan kumpulan data yang grafiknya berupa kurva polinomial. Jadi, jika dot plot suatu sampel data berbentuk parabola, sebaiknya dibuat model regresi kuadratik daripada model regresi linier. Dengan cara ini, persamaan model regresi akan lebih sesuai dengan sampel data.<\/p>\n<p> Perhatikan bahwa regresi polinomial adalah jenis regresi nonlinier, sama seperti regresi eksponensial dan regresi logaritmik. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"formula-de-la-regresion-polinomial\"><\/span> Rumus Regresi Polinomial<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Persamaan model regresi polinomial adalah y=\u03b2 <sub>0<\/sub> +\u03b2 <sub>1<\/sub> x+\u03b2 <sub>2<\/sub> x <sup>2<\/sup> +\u03b2 <sub>3<\/sub> x <sup>3<\/sup> \u2026+\u03b2 <sub>m<\/sub> x <sup>m<\/sup> +\u03b5.<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-9d195b19a3d6f10a8eb73b13cd90420c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"y=\\beta_0+\\beta_1 x+\\beta_2 x^2+\\beta_3 x^3+\\dots+\\beta_m x^m+\\varepsilon\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"354\" style=\"vertical-align: -4px;\"><\/p>\n<\/p>\n<p style=\"margin-bottom:5px\"> Emas:<\/p>\n<ul style=\"color:#FF8A05; font-weight: bold;\">\n<li style=\"margin-bottom:5px\">\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-38461fc041e953482219abf5d4cce1cb_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"y\" title=\"Rendered by QuickLaTeX.com\" height=\"12\" width=\"9\" style=\"vertical-align: -4px;\"><\/p>\n<p> adalah variabel terikat.<\/li>\n<li style=\"margin-bottom:5px\">\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-7e5fbfa0bbbd9f3051cd156a0f1b5e31_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"x\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"10\" style=\"vertical-align: 0px;\"><\/p>\n<p> adalah variabel independen.<\/li>\n<li style=\"margin-bottom:5px\">\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-c5ba513cc7e504bc674f76afa70a3442_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\beta_0\" title=\"Rendered by QuickLaTeX.com\" height=\"17\" width=\"17\" style=\"vertical-align: -4px;\"><\/p>\n<p> adalah konstanta persamaan regresi polinomial.<\/li>\n<li style=\"margin-bottom:5px\">\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-ff540c55c6ee8f10a1dab8e2422947ab_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\beta_i\" title=\"Rendered by QuickLaTeX.com\" height=\"17\" width=\"15\" style=\"vertical-align: -4px;\"><\/p>\n<p> adalah koefisien regresi yang terkait dengan variabel<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-c6fd71de48bfaa9a0e22d2d633ca6796_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"x^i\" title=\"Rendered by QuickLaTeX.com\" height=\"15\" width=\"15\" style=\"vertical-align: 0px;\"><\/p>\n<p> .<\/li>\n<li style=\"margin-bottom:5px\">\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-29b8f7fac5f2df4b101dff63e95516c5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\bm{\\varepsilon}\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"8\" style=\"vertical-align: 0px;\"><\/p>\n<p> Ini adalah kesalahan atau sisa, yaitu selisih antara nilai yang diamati dan nilai yang diestimasi oleh model.<\/li>\n<\/ul>\n<p> Jadi jika kita mempunyai sampel dengan jumlah total<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-ec4217f4fa5fcd92a9edceba0e708cf7_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"n\" title=\"Rendered by QuickLaTeX.com\" height=\"8\" width=\"11\" style=\"vertical-align: 0px;\"><\/p>\n<p> pengamatan, kita dapat mengusulkan model regresi polinomial dalam bentuk matriks:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-f29ae985155878617f11afa5f37addef_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\begin{pmatrix}y_1\\\\y_2\\\\y_3\\\\\\vdots\\\\y_n\\end{pmatrix}=\\begin{pmatrix}1&amp;x_1&amp;x_1^2&amp;\\dots&amp;x_1^m\\\\1&amp;x_2&amp;x_2^2&amp;\\dots&amp;x_2^m\\\\1&amp;x_3&amp;x_3^2&amp;\\dots&amp;x_3^m\\\\ \\vdots&amp;\\vdots&amp;\\ddots&amp;\\vdots\\\\1&amp;x_{n}&amp;x_n^2&amp;\\dots&amp;x_n^m\\end{pmatrix}\\cdot\\begin{pmatrix}\\beta_0\\\\\\beta_1\\\\\\beta_2\\\\\\vdots\\\\\\beta_m\\end{pmatrix}+\\begin{pmatrix}\\varepsilon_1\\\\\\varepsilon_2\\\\\\varepsilon_3\\\\\\vdots\\\\\\varepsilon_n\\end{pmatrix}\" title=\"Rendered by QuickLaTeX.com\" height=\"118\" width=\"391\" style=\"vertical-align: -54px;\"><\/p>\n<\/p>\n<p> Ekspresi matriks di atas dapat ditulis ulang dengan memberikan huruf pada setiap matriks:<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-7614ddbb78ced2e2b8b6c7642d9969c3_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Y=X\\beta+\\varepsilon\" title=\"Rendered by QuickLaTeX.com\" height=\"17\" width=\"95\" style=\"vertical-align: -4px;\"><\/p>\n<\/p>\n<p> Jadi, dengan menerapkan <a href=\"https:\/\/statorials.org\/id\/kuadrat-terkecil\/\">kriteria kuadrat terkecil<\/a> , kita dapat memperoleh <strong>rumus untuk memperkirakan koefisien model regresi polinomial<\/strong> :<\/p>\n<\/p>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-b6ef097cee722e7355fa4eb77b7ea3e5_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\widehat{\\beta}=\\left(X^tX\\right)^{-1}X^tY\" title=\"Rendered by QuickLaTeX.com\" height=\"26\" width=\"146\" style=\"vertical-align: -7px;\"><\/p>\n<\/p>\n<p> Namun, melakukan penghitungan ini dengan tangan sangat melelahkan dan memakan waktu, sehingga akan lebih mudah menggunakan perangkat lunak komputer (seperti Minitab atau Excel) yang memungkinkan Anda menjalankan model regresi polinomial dengan lebih cepat. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ejemplo-de-un-modelo-de-regresion-polinomial\"><\/span> Contoh model regresi polinomial<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Sekarang setelah kita mengetahui definisi regresi polinomial dan cara kerjanya, mari kita lihat contoh nyata untuk memahami konsep tersebut sepenuhnya.<\/p>\n<p> Pertama-tama, perlu diingat bahwa model regresi polinomial harus dilakukan jika grafik data berbentuk kurva polinomial. Misalnya, jika dotplot berbentuk kurva kubik, maka kita perlu membuat model regresi polinomial derajat ketiga.<\/p>\n<p> Jadi, seperti yang Anda lihat pada gambar berikut, dot plot data kita berbentuk kuadrat, karena semakin kita meningkatkan nilai variabel independen, maka variabel dependen akan tumbuh lebih cepat. Dalam hal ini model regresi linier telah dilakukan dan seperti yang Anda lihat, model tersebut tidak sesuai dengan titik-titiknya karena memiliki bagian yang garisnya berada di bawah semua titik dan bagian yang garisnya berada di atasnya. <\/p>\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/rpol-faux.png\" alt=\"\" class=\"wp-image-6823\" width=\"424\" height=\"289\" srcset=\"\" sizes=\"\"><\/figure>\n<p> Di sisi lain, jika kita menjalankan model regresi polinomial kuadrat, model tersebut akan lebih cocok dengan data sampel, seperti yang Anda lihat pada gambar di bawah. <\/p>\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/exemple-de-regression-polynomiale.png\" alt=\"contoh regresi polinomial\" class=\"wp-image-6824\" width=\"432\" height=\"293\" srcset=\"\" sizes=\"\"><\/figure>\n<p> Selain itu, ketika mengembangkan model regresi polinomial, koefisien determinasi meningkat pesat dari 86,80% menjadi 94,05%. Oleh karena itu, model regresi baru menjelaskan kumpulan data dengan lebih baik.<\/p>\n<p> Di sisi lain, indikasi lain bahwa kita perlu melakukan regresi polinomial adalah memplot residu. Jika dalam regresi linier grafik residunya berbentuk parabola atau polinomial jenis lain, maka model regresi polinomial tentu lebih cocok dengan data yang diteliti. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"otros-tipos-de-regresion-no-lineal\"><\/span> Jenis regresi nonlinier lainnya<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Pada dasarnya ada tiga jenis regresi nonlinier:<\/p>\n<ul style=\"color:#FF8A05; font-weight: bold;\">\n<li style=\"margin-bottom:16px\"> <span style=\"color:#101010;font-weight: normal;\"><strong>Regresi Polinomial<\/strong> \u2013 Persamaan model regresi berbentuk polinomial.<\/span><\/li>\n<li style=\"margin-bottom:16px\"> <span style=\"color:#101010;font-weight: normal;\"><strong>Regresi logaritma<\/strong> : diambil logaritma variabel bebasnya.<\/span><\/li>\n<li style=\"margin-bottom:16px\"> <span style=\"color:#101010;font-weight: normal;\"><strong>Regresi Eksponensial<\/strong> : Variabel independen terletak pada eksponen persamaan.<\/span> <\/li>\n<\/ul>\n<div style=\"background-color:#FFFDE7; padding-top: 10px; padding-bottom: 10px; padding-right: 20px; padding-left: 30px; border: 2.5px dashed #FFB74D; border-radius:20px;\"> <span style=\"color:#ff951b\">\u27a4<\/span> <strong>Lihat:<\/strong> <a href=\"https:\/\/statorials.org\/id\/regresi-logaritma\/\">Regresi logaritmik<\/a><br \/> <span style=\"color:#ff951b\">\u27a4<\/span> <strong>Lihat:<\/strong> <a href=\"https:\/\/statorials.org\/id\/regresi-eksponensial\/\">Regresi Eksponensial<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artikel ini menjelaskan apa itu regresi polinomial dalam statistik dan bagaimana cara kerjanya. Selain itu, Anda akan dapat melihat contoh pelaksanaan regresi polinomial. Apa itu regresi polinomial? Regresi polinomial , atau regresi polinomial , adalah model regresi yang hubungan antara variabel bebas X dan variabel terikat Y dimodelkan menggunakan polinomial. Misalnya, persamaan model regresi polinomial [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u25b7 Regresi polinomial<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.\" \/>\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\/regresi-polinomial-1\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Regresi polinomial\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/regresi-polinomial-1\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-02T15:23:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-9d195b19a3d6f10a8eb73b13cd90420c_l3.png\" \/>\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\/regresi-polinomial-1\/\",\"url\":\"https:\/\/statorials.org\/id\/regresi-polinomial-1\/\",\"name\":\"\u25b7 Regresi polinomial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-02T15:23:14+00:00\",\"dateModified\":\"2023-08-02T15:23:14+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/regresi-polinomial-1\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/regresi-polinomial-1\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/regresi-polinomial-1\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Regresi polinomial\"}]},{\"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u25b7 Regresi polinomial","description":"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/","og_locale":"id_ID","og_type":"article","og_title":"\u25b7 Regresi polinomial","og_description":"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.","og_url":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/","og_site_name":"Statorials","article_published_time":"2023-08-02T15:23:14+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-9d195b19a3d6f10a8eb73b13cd90420c_l3.png"}],"author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"2 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/","url":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/","name":"\u25b7 Regresi polinomial","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-08-02T15:23:14+00:00","dateModified":"2023-08-02T15:23:14+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Di sini Anda akan menemukan apa itu regresi polinomial, bagaimana regresi polinomial dilakukan (rumus) dan contoh regresi polinomial.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/regresi-polinomial-1\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/regresi-polinomial-1\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Regresi polinomial"}]},{"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/316"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=316"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/316\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}