Implementasi Machine Learning Untuk Prediksi Curah Hujan di Daerah Rawan Banjir
Keywords:
Machine learning, Rainfall prediction, Random forest, Neural network, Flood mitigationAbstract
High rainfall often causes flooding in several prone areas. This study applies machine learning methods, specifically Random Forest and Neural Network, to predict rainfall in flood-prone areas. The model is built using historical data of rainfall, temperature, and humidity, as well as local topographic factors. The test results show that the prediction model has high accuracy and can assist the government in making decisions related to flood disaster mitigation.
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