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All Journal Journal of Information Systems and Informatics
Julianto, Dewa Rizki Rahmat
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Computer Science & IT

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Journal : Journal of Information Systems and Informatics

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Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach Widayati, Qoriani; Adi, Kusworo; Isnanto, R Rizal; Agustini, Eka Puji; Julianto, Dewa Rizki Rahmat; Prakasa, Fawwaz Bimo
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.977

Abstract

Student loyalty is a crucial factor supporting the sustainability of higher education institutions. The aim of this study is to predict student loyalty using a machine learning approach, specifically the random forest algorithm. The data for this research were collected through a questionnaire that included variables such as service quality, emotional attachment, brand satisfaction, brand trust, and socio-economic conditions, distributed to 107 students in Palembang. The resulting dataset was processed through preprocessing, model training, and performance evaluation, employing metrics such as accuracy, precision, recall, and F1-score. The analysis using the random forest algorithm achieved an accuracy of 90.9%. These findings are expected to provide valuable insights for higher education institutions in developing more effective strategies to enhance student loyalty.
Co-Authors Agustini, Eka Puji Kusworo Adi Prakasa, Fawwaz Bimo Qoriani Widayati R Rizal Isnanto