Rainfall Prediction Analysis Using Trees Decision C4.5: Literature Review

Abstract

This study aims to analyze and predict rainfall using the C4.5 decision tree algorithm. The methodology used in this study is a quantitative approach, collecting rainfall data from meteorological stations in Indonesia over a specific period. The analysis results indicate that the C4.5 model is capable of predicting rainfall with sufficient accuracy. These findings have important implications for water resource and agricultural planning in Indonesia.