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Mario Edmon Gasa

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Open access Sep 2026

ANALISIS AKTOR PENENTU DAN PREDIKSI JENIS KONTRASEPSI PADA AKSEPTOR KB MENGGUNAKAN ALGORITMA RANDOM FOREST

The Family Planning (KB) program aims to control population growth, yet the high discontinuation rate due to mismatched contraceptive choices remains a major challenge in the field. Therefore, this study aims to develop an objective contraceptive prediction model using the Random Forest algorithm to minimize the risk o...

Mario Edmon Gasa, T. Setyarini, D. Anggraini · 0 citations

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