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All Journal Jurnal Teknik Komputer AMIK BSI Jurnal Mantik Penusa Jurnal Mantik TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika C.I.T. Medicom INFOKUM BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Info Sains : Informatika dan Sains Jurnal ICT : Information and Communication Technologies
Yuda Perwira
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Application Of Data Mining For Prediction Of Students Out Of College With The Method Algorithm C4.5 suandi daulay; wira apriani; yuda perwira
Jurnal ICT : Information and Communication Technologies Vol. 13 No. 1 (2022): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.491 KB) | DOI: 10.35335/jict.v13i1.28

Abstract

This research was conducted to predict students dropping out of private universities, the student department needs to pay attention to students who have the potential to drop out so that they can be detected faster to make an approach with students so they don't drop out of college, with the help of data mining so that data -The data collected is useful information and with the C4.5 method so that predictions become accurate to detect students who have the potential to drop out of college. As for the results of this study, it is known that the most influential variable for students dropping out of college is marked by UKT Not Current Then Often Absent Then Gender Male whose graduation year is not recently graduated (not fresh graduate)
Application of the Classification Decision Tree Method to Determine Student Satisfaction Factors for Student Services Yuda Perwira; Amran Sitohang; Mutiara Pandjaitan; Kuza Simamora
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023
Publisher : SEAN Institute

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Abstract

This study aims to apply the Classification Decision Tree method in knowing the factors that influence student satisfaction with student services in tertiary institutions. The Classification Decision Tree method is used to build a decision tree model that can identify the factors that most influence student satisfaction.The data used in this study is survey data on student satisfaction with student services in tertiary institutions, which consists of several variables such as service quality, facilities, information availability, and others. The data will be processed using the Classification Decision Tree algorithm to build a decision tree model that can predict student satisfaction based on the factors that influence it.The results of this study obtained an important root or root of student satisfaction with student services. The first is student welfare services and the second is organizational development services and the results of the test data show an accuracy of 87%.
Co-Authors Agustina Simangunsong Ahmad Zein Amran Sitohang Daulay, Suandi Endra A.P Marpaung Fiqri Irhami Fristi Riandari Hasanul Fahmi Hasugian , Paska Marto Humala Simangunsong Jijon Raphita Sagala Kicky Maulana Kuza Simamora Mufida Khairani Mutiara Pandjaitan Nuraisana Nuraisana Nurjamiyah, Nurjamiyah Nurmayana Risa Kartika Lubis Sinta Lia Alfaris Syahrul Fahri Wira Apriani Wira Apriani Wizzy Vrayuda Yessy F A Lubis Yuni Endah Kurniati