Publikasi Ilmiah STMIK Banjarbaru
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Analisis Kinerja Model Machine learning dalam Prediksi Gagal Panen Gabah
In Banjar Regency, rice production faces significant challenges, including high crop failure rates and production variability across regions, which impact equitable food availability. This study aims to analyze the performance of various machine learning algorithms in predicting rice crop failures,
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