{"id":222,"date":"2023-08-04T00:49:55","date_gmt":"2023-08-04T00:49:55","guid":{"rendered":"https:\/\/statorials.org\/id\/distribusi-bernoulli\/"},"modified":"2023-08-04T00:49:55","modified_gmt":"2023-08-04T00:49:55","slug":"distribusi-bernoulli","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/distribusi-bernoulli\/","title":{"rendered":"Distribusi bernoulli"},"content":{"rendered":"<p>Artikel ini menjelaskan apa itu distribusi Bernoulli dan apa rumusnya. Selain itu, Anda akan menemukan properti distribusi Bernoulli dan latihan yang diselesaikan untuk lebih memahami maknanya. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%c2%bfque-es-la-distribucion-de-bernoulli\"><\/span> Apa yang dimaksud dengan distribusi Bernoulli?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> <strong>Distribusi Bernoulli<\/strong> , juga dikenal sebagai <strong>distribusi dikotomis<\/strong> , adalah distribusi probabilitas yang mewakili variabel diskrit yang hanya dapat mempunyai dua hasil: &#8220;berhasil&#8221; atau &#8220;gagal&#8221;.<\/p>\n<p> Pada distribusi Bernoulli, \u201csukses\u201d adalah hasil yang kita harapkan dan bernilai 1, sedangkan hasil \u201ckegagalan\u201d adalah hasil selain yang diharapkan dan bernilai 0. Jadi, jika peluang hasil \u201c sukses\u201d adalah <em>p<\/em> , probabilitas hasil \u201ckegagalan\u201d adalah <em>q=1-p<\/em> .<\/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-384fd7d96d4d6584739b04a6e331b251_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\begin{array}{c}X\\sim \\text{Bernoulli}(p)\\\\[2ex]\\begin{array}{l} \\text{\\'Exito}\\ \\color{orange}\\bm{\\longrightarrow}\\color{black} \\ P[X=1]=p\\\\[2ex]\\text{Fracaso}\\ \\color{orange}\\bm{\\longrightarrow}\\color{black} \\ P[X=0]=q=1-p\\end{array}\\end{array}\" title=\"Rendered by QuickLaTeX.com\" height=\"95\" width=\"361\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<p> Distribusi Bernoulli dinamai menurut ahli statistik Swiss Jacob Bernoulli.<\/p>\n<p> Dalam statistik, distribusi Bernoulli terutama memiliki satu penerapan: menentukan probabilitas eksperimen yang hanya memiliki dua kemungkinan hasil: sukses dan gagal. Jadi percobaan yang menggunakan distribusi Bernoulli disebut uji Bernoulli atau percobaan Bernoulli. <\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"formula-de-la-distribucion-de-bernoulli\"><\/span> Rumus distribusi Bernoulli<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Jika <em>p<\/em> adalah peluang munculnya hasil &#8220;sukses&#8221;, peluang distribusi Bernoulli sama dengan <em>p<\/em> yang dipangkatkan ke <em>x<\/em> dikalikan dengan <em>1-p<\/em> yang dipangkatkan ke <em>1-x<\/em> . Dengan demikian <strong>peluang distribusi Bernoulli dapat dihitung dengan menggunakan rumus berikut<\/strong> : <\/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\/formule-de-distribution-bernouilli.png\" alt=\"Rumus distribusi Bernoulli\" class=\"wp-image-4403\" width=\"266\" height=\"210\" srcset=\"\" sizes=\"\"><\/figure>\n<p> Perhatikan bahwa dalam distribusi Bernoulli, nilai <em>x<\/em> hanya boleh 0 (gagal) atau 1 (berhasil).<\/p>\n<p> Di sisi lain, rumus sebelumnya juga dapat ditulis menggunakan persamaan padanan berikut: <\/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-ec9d35bd206499e27579d7c65d915a67_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\" \\displaystyle P[X=x]=\\left\\{\\begin{array}{ll}1-p &amp; \\text{si } x=0\\\\[2ex]p&amp; \\text{si } x=1\\end{array}\\right.\" title=\"Rendered by QuickLaTeX.com\" height=\"65\" width=\"237\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ejemplo-de-la-distribucion-de-bernoulli\"><\/span> Contoh Distribusi Bernoulli<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Setelah kita mengetahui pengertian distribusi Bernoulli dan apa rumusnya, mari kita lihat contoh konkrit dari distribusi Bernoulli.<\/p>\n<ul>\n<li> Untuk memenangkan permainan, seorang pemain harus melempar dadu dan mendapatkan angka 2, jika tidak, pemain lain akan memenangkan permainan dan oleh karena itu permainan tersebut akan kalah. Hitunglah peluang keberhasilan dan kegagalan.<\/li>\n<\/ul>\n<p> Sebuah dadu mempunyai enam kemungkinan hasil (1, 2, 3, 4, 5, 6), sehingga ruang sampel percobaannya adalah:<\/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-b3ad0ac057b6cd7e3d3db78b556249a1_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\Omega=\\{1,2,3,4,5,6\\}\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"146\" style=\"vertical-align: -5px;\"><\/p>\n<\/p>\n<p> Dalam kasus kita, satu-satunya keberhasilan adalah mendapatkan angka dua, jadi peluang keberhasilan ketika menerapkan aturan Laplace adalah satu dibagi dengan jumlah total hasil yang mungkin (6):<\/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-d3edc23a0939657deeeed11600ba29be_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"p=\\cfrac{1}{6}=0,1667\" title=\"Rendered by QuickLaTeX.com\" height=\"38\" width=\"121\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Sebaliknya, jika muncul angka lain pada pelemparan dadu, maka hasil percobaan dianggap gagal, karena pemain akan kalah. Jadi, probabilitas ini setara dengan satu dikurangi probabilitas yang dihitung sebelumnya:<\/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-e227d2af05b593a352cc6cbd5481469c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"q=1-p=1-\\cfrac{1}{6}=\\cfrac{5}{6}=0,8333\" title=\"Rendered by QuickLaTeX.com\" height=\"39\" width=\"247\" style=\"vertical-align: -12px;\"><\/p>\n<\/p>\n<p> Singkatnya, distribusi Bernoulli dari eksperimen ini ditentukan oleh ekspresi berikut:<\/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-440d054ce5c566fe8dd15f52c5f32059_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\" \\displaystyle P[X=x]=\\left\\{\\begin{array}{ll}\\cfrac{5}{6} &amp; \\text{si } x=0\\\\[4ex]\\cfrac{1}{6} &amp; \\text{si } x=1\\end{array}\\right.\" title=\"Rendered by QuickLaTeX.com\" height=\"108\" width=\"209\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<p> Seperti yang Anda lihat di bawah, probabilitas distribusi Bernoulli juga dapat dicari dengan menerapkan rumus di atas: <\/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-cbe5fae22a9fc6271a376d76e7149c7d_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"P[X=x]=p^x\\cdot (1-p)^{1-x}\" title=\"Rendered by QuickLaTeX.com\" height=\"20\" width=\"207\" style=\"vertical-align: -5px;\"><\/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-847c03e1b95832f2100baaaf984bad98_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle P[X=0]=\\left(\\frac{1}{6}\\right)^0\\cdot \\left(1-\\frac{1}{6}\\right)^{1-0}=\\cfrac{5}{6}\" title=\"Rendered by QuickLaTeX.com\" height=\"47\" width=\"284\" style=\"vertical-align: -17px;\"><\/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-f2925f101c2a1cf6f9a5690b79265ba2_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\displaystyle P[X=1]=\\left(\\frac{1}{6}\\right)^1\\cdot \\left(1-\\frac{1}{6}\\right)^{1-1}=\\cfrac{1}{6}\" title=\"Rendered by QuickLaTeX.com\" height=\"47\" width=\"284\" style=\"vertical-align: -17px;\"><\/p>\n<\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"caracteristicas-de-la-distribucion-de-bernoulli\"><\/span> Ciri-ciri Distribusi Bernoulli<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Di bawah ini adalah ciri-ciri terpenting dari distribusi Bernoulli.<\/p>\n<ul>\n<li> Distribusi Bernoulli hanya dapat mengambil nilai 1 (berhasil) atau 0 (gagal).<\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-68118c3a558ed7a1de8983eda3baee86_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"x=\\{0\\ ; 1\\}\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"82\" style=\"vertical-align: -5px;\"><\/p>\n<\/p>\n<ul>\n<li> Rata-rata distribusi Bernoulli setara dengan probabilitas terjadinya hasil \u201csukses\u201d.<\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-2b30550c767b243e13eaa5e05058cf40_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"E[X]=p\" title=\"Rendered by QuickLaTeX.com\" height=\"18\" width=\"73\" style=\"vertical-align: -5px;\"><\/p>\n<\/p>\n<ul>\n<li> Varians distribusi Bernoulli dapat dihitung dengan mengalikan probabilitas terjadinya hasil \u201csukses\u201d dan \u201ckegagalan\u201d. Atau, secara ekuivalen, variansnya adalah <em>p<\/em> kali <em>1-p<\/em> .<\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-8dd0da3524a93c4fc809dc9a7f8f9d8b_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"Var(X)=p\\cdot q=p\\cdot (1-p)\" title=\"Rendered by QuickLaTeX.com\" height=\"19\" width=\"214\" style=\"vertical-align: -5px;\"><\/p>\n<\/p>\n<ul>\n<li> Nilai modus distribusi Bernoulli bergantung pada probabilitas \u201cberhasil\u201d dan \u201cgagal\u201d. Jadi, modus distribusi jenis ini ditentukan oleh ekspresi berikut:<\/li>\n<\/ul>\n<pre class=\"ql-errors\"> *** QuickLaTeX cannot compile formula:\n\\displaystyle Mo=\\left\\{\\begin{array}{ll}0 &amp; \\text{si } q&gt;p\\\\[2ex]0 \\ ;1 &amp; \\text{si } q=p\\\\[2ex] 1 &amp; \\text{si } q&lt;ul&gt;&lt;li&gt; The formula for the probability function of a Bernoulli distribution is as follows:&lt;\/li&gt;&lt;\/ul&gt;[latex] \\displaystyle P[X=x]= \\left\\{\\begin{array}{ll}1-p &amp; \\text{si } x=0\\\\[2ex]p&amp; \\text{si } x=1\\end{array}\\right.\n\n*** Error message:\nMissing $ inserted.\nleading text: \\displaystyle\nPlease use \\mathaccent for accents in math mode.\nleading text: ...&gt; The formula for the probability function\n\\begin{array} on input line 8 ended by \\end{document}.\nleading text: \\end{document}\nImproper \\prevdepth.\nleading text: \\end{document}\nMissing $ inserted.\nleading text: \\end{document}\nMissing } inserted.\nleading text: \\end{document}\nMissing \\cr inserted.\nleading text: \\end{document}\nMissing $ inserted.\nleading text: \\end{document}\nYou can't use `\\end' in internal vertical mode.\nleading text: \\end{document}\n\\begin{array} on input line 8 ended by \\end{document}.\nleading text: \\end{document}\nMissing } inserted.\nleading text: \\end{document}\nEmergency stop.\n\n<\/pre>\n<ul>\n<li> Di sisi lain, fungsi probabilitas kumulatif dari distribusi Bernoulli ditentukan oleh ekspresi berikut:<\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-9e88fb8ab304bedd415fc2733481b681_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\" \\displaystyle P[X\\leq x]=\\left\\{\\begin{array}{ll}0 &amp; \\text{si } x<0\\\\[2ex]1-p&amp; \\text{si }0 \\leq x<1\\\\[2ex]1 &amp; \\text{si } x\\geq 1\\end{array}\\right.\" title=\"Rendered by QuickLaTeX.com\" height=\"97\" width=\"269\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<ul>\n<li> Koefisien asimetri distribusi Bernoulli dihitung dengan persamaan berikut:<\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-a40989786a746b4be0d58885a7b1105c_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"A=\\cfrac{q-p}{\\sqrt{p\\cdot q}}\" title=\"Rendered by QuickLaTeX.com\" height=\"40\" width=\"85\" style=\"vertical-align: -18px;\"><\/p>\n<\/p>\n<ul>\n<li> Demikian pula kurtosis distribusi Bernoulli bergantung pada nilai parameter <em>p<\/em> dan dapat dicari dengan menerapkan rumus berikut: <\/li>\n<\/ul>\n<p class=\"has-text-align-center\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-80241858133afe551b9687ce4131b180_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"C=\\cfrac{3p^2-3p+1}{p(1-p)}\" title=\"Rendered by QuickLaTeX.com\" height=\"46\" width=\"136\" style=\"vertical-align: -17px;\"><\/p>\n<\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"distribucion-de-bernoulli-y-distribucion-binomial\"><\/span> Distribusi Bernoulli dan distribusi binomial<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p> Pada bagian ini, kita akan melihat perbedaan antara distribusi Bernoulli dan distribusi binomial, karena keduanya merupakan dua jenis distribusi probabilitas yang saling berkaitan.<\/p>\n<p> <strong>Distribusi binomial<\/strong> menghitung jumlah hasil &#8220;sukses&#8221; yang diperoleh dari serangkaian uji coba Bernoulli. Eksperimen Bernoulli ini harus independen namun harus mempunyai probabilitas keberhasilan yang sama.<\/p>\n<p> Oleh karena itu, <strong>distribusi binomial adalah jumlah dari sekumpulan variabel yang mengikuti distribusi Bernoulli<\/strong> , semuanya ditentukan oleh parameter yang sama <em>p<\/em> .<\/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-e63ec0d7ac64de1089ca7509233c30aa_l3.png\" class=\"ql-img-inline-formula quicklatex-auto-format\" alt=\"\\begin{array}{c}X_i\\sim \\text{Bernoulli}(p)\\\\[2ex]\\displaystyle \\sum_{i=1}^nX_i\\sim \\text{Bin}(n,p)\\end{array}\" title=\"Rendered by QuickLaTeX.com\" height=\"87\" width=\"140\" style=\"vertical-align: 0px;\"><\/p>\n<\/p>\n<p> Jadi pada distribusi Bernoulli hanya terdapat satu percobaan Bernoulli, sedangkan pada distribusi binomial terdapat barisan percobaan Bernoulli.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artikel ini menjelaskan apa itu distribusi Bernoulli dan apa rumusnya. Selain itu, Anda akan menemukan properti distribusi Bernoulli dan latihan yang diselesaikan untuk lebih memahami maknanya. Apa yang dimaksud dengan distribusi Bernoulli? Distribusi Bernoulli , juga dikenal sebagai distribusi dikotomis , adalah distribusi probabilitas yang mewakili variabel diskrit yang hanya dapat mempunyai dua hasil: &#8220;berhasil&#8221; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u25b7 Distribusi Bernoulli<\/title>\n<meta name=\"description\" content=\"Di sini Anda akan menemukan apa itu distribusi Bernoulli, rumusnya, ciri-ciri distribusi Bernoulli dan contoh konkritnya.\" \/>\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\/distribusi-bernoulli\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u25b7 Distribusi Bernoulli\" \/>\n<meta property=\"og:description\" content=\"Di sini Anda akan menemukan apa itu distribusi Bernoulli, rumusnya, ciri-ciri distribusi Bernoulli dan contoh konkritnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-04T00:49:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/ql-cache\/quicklatex.com-384fd7d96d4d6584739b04a6e331b251_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=\"4 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/\",\"url\":\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/\",\"name\":\"\u25b7 Distribusi Bernoulli\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-08-04T00:49:55+00:00\",\"dateModified\":\"2023-08-04T00:49:55+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Di sini Anda akan menemukan apa itu distribusi Bernoulli, rumusnya, ciri-ciri distribusi Bernoulli dan contoh konkritnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/distribusi-bernoulli\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Distribusi bernoulli\"}]},{\"@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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