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Open access Aug 2026

Prediksi Harga Pangan di Kota Pangkalpinang Menggunakan Algoritma XGBoost

Food price fluctuations are a strategic issue affecting food security and regional inflation stability. Pangkalpinang City experiences significant inflationary pressure in the food sector, highlighting the need for accurate predictive models. This study aims to develop a time series–based price prediction model for str...

Khemal Fasyah Ishaq, Riki Afriyansyah, M. Wathan · 0 citations
Open access Sep 2026

Optimizing Flood Prediction Using Machine Learning Algorithms

Flooding is a major environmental hazard that requires accurate and reliable prediction to support disaster mitigation and early warning systems. This study applied a combination of K-Means clustering and Random Forest classification to predict flood conditions based on water-level data from DKI Jakarta. The dataset wa...

M. Wathan, Md. Safaet Hossain · 0 citations

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