Early Detection of Student Dropout Risk in State Islamic Higher Education Using a Support Vector Machine Model. Southeast Asian Journal of Islamic Education, [S. l.], v. 9, n. 1, p. 85–100, 2026. DOI: 10.21093/sajie.v9i1.13598. Disponível em: https://journal.uinsi.ac.id/index.php/SAJIE/article/view/13598. Acesso em: 28 jul. 2026.