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Comparative Analysis of Random Forest and Support Vector Machine Algorithms for Predicting Student Retention at Ibnu Sina University

Student retention is a critical challenge facing higher education institutions, including Ibnu Sina University (UIS), where a significant proportion of students risk not completing their studies. Purpose: This study develops and compares predictive models using Random Forest (RF) and Support Vector...

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Principais autores: dimas pradipto, I Made Artha Agastya, Agus Suryadi
Formato: Artigo
Idioma:Indonésio
Publicado em: Islamic University of Indragiri 2026-04-01
coleção:Sistemasi: Jurnal Sistem Informasi
Assuntos:
early warning system
random forest
smote
student retention
support vector machine
Acesso em linha:https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/6298
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