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All Journal Seminar Nasional Informatika (SEMNASIF) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Pengabdian Masyarakat Nian Tana Harmoni Sosial : Jurnal Pengabdian Dan Solidaritas Masyarakat Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Karya Nyata: Jurnal Pengabdian Kepada Masyarakat
Susan Dian Purnamasari
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Prediction of Student Graduation Using Naïve Bayes Robi Sepriansyah; Susan Dian Purnamasari
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6447

Abstract

The quality of universities, especially study programs in Indonesia is measured based on an accreditation assessment from the National Accreditation Board for Higher Education (BAN-PT). The quality assessment is measured based on 7 main standards, one of which is students and graduation. Every university must have academic data and biodata of each student based on the initial registration until graduation. Students who are accepted or who enter college are increasing every year, but not all students are able to graduate on time.algorithm Naïve Bayes used study aims to predict student graduation through student academic performance data in semester one to semester four, attributes Nim, Credit and GPA using the Discovery In Database (KDD) This Knowledge model data Testing on the Rapid Miner application.From the results of the tests that have been carried out, it can be concluded that the accuracy value of the prediction results is 95.33%, the results are quite accurate for the data used by testing the testing as many as 120, namely passing in semester 8 as many as 78, passing in semester 9 as many as 24, while 3 who graduated in semester 10, and students who graduated in semester 12 were 15.
Co-Authors Dhea Ismanto Evi Yulianingsih Fatmasari Fatmasari Febriyanti Panjaitan Irwan Syahputra Jemakmun, Jemakmun Merzi Tamara Oktaviani Mistriyanti Mistriyanti Muhammad Nasir Mutia Mawardah Nasrul Halim Nia Oktaviani Robi Sepriansyah Silfani Oktaviani Sopandy, Arya