[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-id-113":3,"doc-seo-231531-113":53,"doc-detail-231531-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","snmptn-admission-prediction-using-c45-and-naive-bayes-algorithms","Prediksi Penerimaan SNMPTN Menggunakan Algoritma C4.5 dan Naive Bayes","","Pendidikan berperan penting dalam memutus rantai kemiskinan dan meningkatkan kualitas sumber daya manusia. Jalur SNMPTN menjadi salah satu rute masuk Perguruan Tinggi Negeri (PTN) tanpa tes berbasis nilai rapor, namun kuota minimal 20% dan passing grade setiap PTN tidak dapat ditentukan sehingga peluang diterima tidak pasti. Penelitian ini memanfaatkan data mining klasifikasi untuk memprediksi penerimaan SNMPTN dengan algoritma C4.5 dan Naive Bayes, dengan tujuan membantu calon siswa memahami kemungkinan diterima PTN.",{"@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":43,"@type":70,"position":77},"https://docshare.wps.com/id/document/ujian/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/snmptn-admission-prediction-using-c45-and-naive-bayes-algorithms/231531/",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/snmptn-admission-prediction-using-c45-and-naive-bayes-algorithms/231531.png","ImageObject",300,407,{"name":89,"@type":90},"McGucket","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-21","2026-09-10",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},"Mengapa penerimaan SNMPTN sulit diprediksi secara manual?","Question",{"text":109,"@type":110},"Kuota SNMPTN minimal 20% dan passing grade tiap PTN tidak dapat ditetapkan, sehingga peluang diterima menjadi tidak diketahui. Analisis manual juga memerlukan waktu lama karena banyak data yang harus diperiksa.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"Algoritma apa yang digunakan untuk memprediksi penerimaan SNMPTN?",{"text":114,"@type":110},"Penelitian menggunakan dua algoritma data mining klasifikasi, yaitu C4.5 dan Naive Bayes.",{"name":116,"@type":107,"acceptedAnswer":117},"Bagaimana perbandingan hasil akurasi dan AUC antara C4.5 dan Naive Bayes?",{"text":118,"@type":110},"C4.5 menghasilkan akurasi 85,09% dengan AUC 0,873, sedangkan Naive Bayes menghasilkan akurasi 63,01% dengan AUC 0,665.","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},231531,1789065819,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":89,"user_avatar":130,"doc_module":4,"category_id":42,"category_name":43,"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},1236954412713,"https://us-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","PREDIKSI PENERIMAAN SNMPTN MENGGUNAKAN  \nALGORITMA C4.5 DAN NAIVE BAYES  \nIndah Purnamasari*1, Indah Suryani2  \n1,2Universitas Nusa Mandiri,  \n[indah.ihi@nusamandiri.ac.id](indah.ihi@nusamandiri.ac.id)*1, [indah.ihy@nusamandiri.ac.id](indah.ihy@nusamandiri.ac.id2)[2](indah.ihy@nusamandiri.ac.id2)  \nAbstrak  \nPendidikan mempunyai peranan penting bagi kehidupan manusia. Sekolah sebagai tempat mengenyam pendidikan mengajarkan berbagai disiplin ilmu dengan tujuan agar para peserta didik dapat menjadi manusia yang unggul. Secara umummasyarakat di Indonesia inginputra putrinya dapat menempuh pendidikanterbaik di Perguruan Tinggi Negeri (PTN) . Banyak jalur yang bisa dilalui menuju PTN, salah satunya adalah jalur Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) yang merupakan jalur masuk PTN tanpa tes atau seleksi nilai raport. Akan tetapi kuota penerimaan PTN melalui jalur SNMPTN hanya minimal 20% dan tidak dapat ditentukan passing grade setiap PTN sehingga kemungkinan untuk bisa masuk PTN melalui jalur SNMPTN tidak diketahui. Oleh karena itu untuk dapat memprediksi siswa siswi yang dapat diterima di PTN melalui jalur SNMPTN maka dilakukan prediksi penerimaan SNMPTN menggunakan data mining klasifikasi dengan dua algoritma yaitu C4.5 dan Naive Bayes. Tujuannya adalah dengan siswa mengetahui kemungkinan diterima pada PTN melalui jalur SNMPTN makadiharapkan semakin banyak siswa yang dapat diterima PTN melalui jalur SNMPTN tersebut. Penelitian ini menunjukkan prediksi penerimaan PTN melalui jalur SNMPTN menggunakan data mining klasifikasi denganalgoritma C4.5 memberikan hasil akurasi yang jauh lebih tinggi yaitu sebesar 85,09 % dan nilai AUC 0,873 sedangkan algoritma Naive Bayes memberikan hasil akurasi 63.01% dan nilai AUC 0,665 .  \nKata Kunci: SNMPTN, Prediksi, Naive Bayes, C4.5  \nAbstract  \nSchool is a formal education unit where teachers teach various disciplines which aim to make students become superior human beings. Education is important for humans. In general, people in Indonesia want their sons and daughters to be able to get an education at State Universities (PTN). There are many paths that can be taken to PTN, one of which is the National Selection for State University Entrance (SNMPTN) which is the PTN entrance route without a test or selection of report cards. However, the quota for acceptance of PTN through the SNMPTN pathway is at least 20% and the passing grade of each PTN cannot be determined so that the possibility of being accepted into PTN through the SNMPTN route is unknown. Therefore, to be able to predict students who can be accepted into PTN through the SNMPTN path, predictions of SNMPTN acceptance are made using classification data mining with the C4.5 and Naive Bayes algorithm. The goal is that with students knowing the possibility of being accepted into PTN through the SNMPTN pathway, it is hoped that more students can be accepted by PTN through the SNMPTN pathway. This study shows that the prediction of PTN acceptance through the SNMPTN path using data mining classification with the C4.5 algorithm produces a much higher accuracy of 85,09% and theAUC value 0,873, while the Naive Bayes algorithm produces an accuracy of 63,01% and theAUC value..  \nKeywords: SNMPTN, Prediction, Naive Bayes, C4.5  \nI. PENDAHULUAN  \nSaat ini semakin tinggi kesadaran masyarakat Indonesia akan pentingnya pendidikan. Pendidikanmemiliki peran penting untuk memotong rantaikemiskinan dan kebodohan, di Indonesia tahapan pendidikan bermula dari Sekolah Dasar (SD) selama 6 tahun, Sekolah Menengah Pertama (SMP) selama 3 tahun, Sekolah Menengah Atas (SMA) atau Sekolah Menengah Kejuruan (SMK) selama 3 taun kemudian Perguruan Tinggi [1] . Berbagai upaya pemerintahdalam mendukung pendidikan diantaranya dengan meningkatkan anggaran pendidikan serta programprogram pendidikan sehingga pendidikan semakin  \nmerata, mudah diperoleh di seluruh daerah dansemakin maju. Berdasarkan dari databoks dengansumber Lembaga Tes Masuk Perguruan Tinggi (LT","cbCaitaRN0FgOIFg","https://ap.wps.com/l/cbCaitaRN0FgOIFg","pdf",1674674,10,"Indonesian","# Abstrak\n# Kata Kunci\n# I. Pendahuluan","[{\"question\":\"Mengapa penerimaan SNMPTN sulit diprediksi secara manual?\",\"answer\":\"Kuota SNMPTN minimal 20% dan passing grade tiap PTN tidak dapat ditetapkan, sehingga peluang diterima menjadi tidak diketahui. Analisis manual juga memerlukan waktu lama karena banyak data yang harus diperiksa.\"},{\"question\":\"Algoritma apa yang digunakan untuk memprediksi penerimaan SNMPTN?\",\"answer\":\"Penelitian menggunakan dua algoritma data mining klasifikasi, yaitu C4.5 dan Naive Bayes.\"},{\"question\":\"Bagaimana perbandingan hasil akurasi dan AUC antara C4.5 dan Naive Bayes?\",\"answer\":\"C4.5 menghasilkan akurasi 85,09% dengan AUC 0,873, sedangkan Naive Bayes menghasilkan akurasi 63,01% dengan AUC 0,665.\"}]","Prediksi Penerimaan SNMPTN Menggunakan Algoritma C4.5 dan Naive Bayes | PDF",15]