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Penerapan Random Forest Untuk Prediksi Dan Analisis Kemiskinan

Handayani, Dwi Nurmelly et al.
RIGGS: Journal of Artificial Intelligence and Digital Business · Papers
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machine-learningrandom-foresttime-series
Penelitian ini bertujuan untuk menerapkan algoritma Random Forest dalam memprediksi persentase kemiskinan di Kabupaten Bogor. Dengan menggunakan data deret waktu tahun 2019–2024, model dibangun berdasarkan fitur lag (Lag 1 dan Lag 2) untuk menangkap pola historis fluktuasi kemiskinan. Proses pra-pem
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