Author

Jepri Banjarnahor

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Open access Sep 2026

Student Dropout Risk Prediction After Two Semesters: A Comparative Study Of Logistic Regression, Random Forest, and XGBoost with SHAP

Student dropout requires accurate and explainable early detection so that model outputs can support academic decisions responsibly within an early warning system. This study compares logistic regression, Random Forest, and extreme gradient boosting for student dropout prediction and examines how explainable artificial...

Jepri Banjarnahor, Very Clevery · Jurnal Minfo Polgan · 0 citations

Open access Jul 2026

Hybrid Deep Learning Model for Coffee Leaf Disease Detection Using CNN DeiT

Findings confirm that the hybrid CNN–Transformer architecture effectively enhances classification performance, robustness, and generalization in coffee leaf disease classification, with potential applications in precision agriculture and data-driven crop management.

Jepri Banjarnahor, Reclesia Br Harianja, Syafrida Maulidah et al. · SinkrOn · 0 citations