Open access
Sep 2026
A Random Forest-Based Early Warning System for Early Identification and Classification of Student Academic Risk Using Academic Performance Indicators
A Random Forest-based Early Warning System (EWS) integrated into the Global Academic Information System (GAIS) enables proactive monitoring and supports data-driven decision-making for improving student retention and institutional academic management.
Nova Teguh Sunggono, M. B. Ryando
· JURNAL SISFOTEK GLOBAL · 0 citations