[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-id-113":3,"doc-seo-159085-113":53,"doc-detail-159085-id":127},{"code":4,"msg":5,"data":6},0,"success",[7,13,17,21,25,29,33,37,41,45,49],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},55,"Document","Agama & Spiritualitas",60,"religion-spirituality",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":11,"slug":16},48,"Cerita & Novel","story-novel",{"id":18,"doc_module":4,"doc_module_name":9,"category_name":19,"show_sort_weight":11,"slug":20},56,"Gaya Hidup","lifestyle",{"id":22,"doc_module":4,"doc_module_name":9,"category_name":23,"show_sort_weight":11,"slug":24},51,"Komik","comic",{"id":26,"doc_module":4,"doc_module_name":9,"category_name":27,"show_sort_weight":11,"slug":28},53,"Layanan Kesehatan","healthcare",{"id":30,"doc_module":4,"doc_module_name":9,"category_name":31,"show_sort_weight":11,"slug":32},54,"Penelitian & Laporan","research-report",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":11,"slug":36},49,"Sastra","literature",{"id":38,"doc_module":4,"doc_module_name":9,"category_name":39,"show_sort_weight":11,"slug":40},52,"Teknologi","technology",{"id":42,"doc_module":4,"doc_module_name":9,"category_name":43,"show_sort_weight":11,"slug":44},50,"Ujian","exam",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":47,"show_sort_weight":11,"slug":48},57,"Umum","general",{"id":50,"doc_module":4,"doc_module_name":9,"category_name":51,"show_sort_weight":4,"slug":52},181,"Formulir","formulir",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},113,"id","use-of-id3-decision-tree-algorithm-for-tutoring-management-to-determine-graduation-factors-in-official-service-schools","Pemanfaatan Algoritma Decision Tree ID3 Bagi Manajemen Bimbel Untuk Menentukan Faktor Kelulusan Pada Sekolah Kedinasan","","Penelitian ini menerapkan data mining untuk mengklasifikasikan data hasil SPMB Politeknik Statistika STIS tahun 2022 dengan algoritma decision tree ID3. Fokus utama adalah mengidentifikasi faktor-faktor yang paling menentukan kelulusan agar manajemen bimbingan belajar dapat menyusun strategi pembinaan dan evaluasi yang lebih efektif. Hasil analisis menunjukkan performa sangat tinggi dengan nilai Kappa 1.000, Accuracy 100%, Recall 100.000%, Precision 100%, serta Classification Error 0.00.",{"@graph":63,"@context":119},[64,81,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/use-of-id3-decision-tree-algorithm-for-tutoring-management-to-determine-graduation-factors-in-official-service-schools/159085/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/use-of-id3-decision-tree-algorithm-for-tutoring-management-to-determine-graduation-factors-in-official-service-schools/159085.png","ImageObject",300,407,{"name":89,"@type":90},"Đào","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-21","2026-08-29",true,{"@type":99,"interactionType":100,"userInteractionCount":80},"InteractionCounter",{"@type":101},"ViewAction",{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Apa tujuan penelitian ini?","Question",{"text":109,"@type":110},"Menerapkan algoritma decision tree ID3 untuk mengklasifikasikan data SPMB Politeknik Statistika STIS 2022 dan mengetahui faktor utama penentu kelulusan.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Data apa yang dianalisis dalam penelitian ini?",{"text":114,"@type":110},"Dataset yang digunakan berasal dari hasil SPMB Politeknik Statistika STIS tahun 2022.",{"name":116,"@type":107,"acceptedAnswer":117},"Bagaimana kinerja model ID3 yang digunakan?",{"text":118,"@type":110},"Penelitian melaporkan Kappa 1.000, Accuracy 100%, Recall 100.000%, Precision 100%, serta Classification Error 0.00.","https://schema.org",{"og:url":79,"og:type":121,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":123,"canonical":79},"index,follow",{"doc_id":125,"site_id":56},159085,1788011866,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":80,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":141},1374402968488,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Pemanfaatan Algoritma Decision Tree ID3 Bagi Manajemen Bimbel Untuk Menentukan Faktor Kelulusan Pada Sekolah Kedinasan  \nJuwita Tetra Marani Aliyah Nazanah1*, Muhammad Ihsan Jambak2  \n1Fakultas Ilmu Komputer, Sistem Informasi, Universitas Sriwijaya, Palembang, Indonesia  \n2Fakultas Ilmu Komputer, Manajemen Informatika, Universitas Sriwijaya, Palembang, Indonesia  \nEmail:1,*[09031382025152@student.unsri.ac.id](09031382025152@student.unsri.ac.id), [2](2jambak@unsri.ac.id)[jambak@unsri.ac.id](2jambak@unsri.ac.id)  \nEmail Penulis Korespondensi: [09031382025152@student.unsri.ac.id](09031382025152@student.unsri.ac.id)  \nAbstrak−Saat ini bimbingan belajar kedinasan menjadi pilihan bagi para siswa untuk menunjang persiapan mereka ke jenjang pendidikan selanjutnya, tidak hanya sebatas membimbing belajar saja, biasanya manajemen bimbingan belajar menyiapkan strategitertentu agar siswanya bisa lolos seleksi di kedinasan yang dituju. Sekolah kedinasan di Indonesia saat ini cukup populer dan diminati banyak siswa, hal ini disebabkan oleh keunggulan yang dimiliki sekolah kedinasan, yaitu biaya pendidikan yang relatif lebih murah bahkan gratis, dinaungi lembaga negara dan mempunyai kesempatan lebih besar untuk langsung bekerja setelah lulus. Minat yang tinggi ini menyebabkan tingginya persaingan masuk ke sekolah kedinasan. Salah satu kedinasan yang paling diminati saat ini adalah Politeknik Statistika STIS. Seleksi Pemilihan Mahasiswa Baru (SPMB) pada Politeknik Statistika STIS melewati banyak tahapan. Sehingga hal ini menjadi kepentingan bagi para manajemen bimbingan belajar untuk mengetahui faktor apa saja yang menentukan kelulusan pada seleksi tersebut. Ketidaktahuan manajemen bimbingan belajar dalam mengetahui faktor kelulusan dapat menyebabkan kurangnya efektif strategi dan proses belajar para siswa bimbingan belajar. Oleh karena itu, pada penelitian ini dilakukan penerapanilmu data mining yaitu mengklasifikasikan data hasil SPMB Politeknik Statistika STIS tahun 2022 dengan algoritma decision tree ID3 yang bertujuan untuk mengetahui faktor utama yang menentukan mahasiswa yang lulus. Kemudian, hasil penelitian bisa menjadi pendukung keputusan manajemen bimbingan belajar dalam membuat strategi maupun evaluasikedepannya. Sehingga siswabimbingan belajar mendapatkan strategi pembinaan yang paling tepat dan sesuai berdasarkan hasil dari penelitian ini. Dataset dianalisis dengan Data Mining menggunakan Algoritma Decision Tree ID3. Berdasarkan penelitian yang dilakukan pada data adalah nilai Kappa sebesar 1.000, Accuracy sebesar 100%, Recall sebesar 100.000%, Classification Error sebesar 0.00 dan Precision sebesar 100% .  \nKata Kunci: Data Mining; Decision Tree; Klasifikasi; Seleksi Kompetensi Dasar; ID3  \nAbstract−At present official tutoring is an option for students to support their preparation for the next level of education, not only limited to guiding study, usually tutoring management prepares certain strategies so that students can pass the selection at the intended official service. Official schools in Indonesia are currently quite popular and in demand by many students, this is due to the advantages of official schools, namely the cost of education is relatively cheaper and even free, under the auspices of state institutions and have a greater opportunity to work immediately after graduation. This high interest causes high competition to enter service schools. One of the most popular services today is the STIS Statistics Polytechnic. The New Student Selection Selection (SPMB) at the STIS Statistics Polytechnic went through many stages. So that this is of interest to the tutoring management to find out what factors determine the passing of the selection. Ignorance of tutoring management in knowing the passing factor can lead to a lack of effective strategies and learning processes for tutoring students. Therefore, in this study the application of data mining science was carried out, namely classifying data from the 2022 STIS Statistics","cbCaio1eW08tOyFx","https://ap.wps.com/l/cbCaio1eW08tOyFx","pdf",695486,10,"Indonesian","# Pendahuluan\n## Latar belakang dan permasalahan\n## Tujuan penelitian\n## Penerapan algoritma ID3\n# Metode Penelitian\n## Desain klasifikasi\n## Pengolahan dataset SPMB 2022\n## Evaluasi kinerja model","[{\"question\":\"Apa tujuan penelitian ini?\",\"answer\":\"Menerapkan algoritma decision tree ID3 untuk mengklasifikasikan data SPMB Politeknik Statistika STIS 2022 dan mengetahui faktor utama penentu kelulusan.\"},{\"question\":\"Data apa yang dianalisis dalam penelitian ini?\",\"answer\":\"Dataset yang digunakan berasal dari hasil SPMB Politeknik Statistika STIS tahun 2022.\"},{\"question\":\"Bagaimana kinerja model ID3 yang digunakan?\",\"answer\":\"Penelitian melaporkan Kappa 1.000, Accuracy 100%, Recall 100.000%, Precision 100%, serta Classification Error 0.00.\"}]","Pemanfaatan Algoritma Decision Tree ID3 Bagi Manajemen Bimbel Untuk Menentukan Faktor Kelulusan Pada Sekolah Kedinasan | PDF",15]