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Implementasi Random Forest dan SMOTE untuk Prediksi Risiko Putus Sekolah Dasar Menuju Indonesia Emas 2045
This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which,
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