Author

Nova Teguh Sunggono

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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

Review Open access Sep 2026

AI Analytics as Intelligent Management Technology: The Mediating Role of Organizational Agility in Digital Business Performance

Artificial intelligence (AI) analytics is increasingly embedded in management technology to support data-driven decision-making and organizational responsiveness. This study examines the relationships among AI Analytics (AIA), Organizational Agility (OA), and Digital Business Performance (DBP), with OA positioned as a...

D. Dedi, Jarudin Wastira, Nova Teguh Sunggono · JURNAL SISFOTEK GLOBAL · 0 citations