CLASSIFYING VILLAGE FUND IN WEST JAVA, INDONESIA USING CATBOOST ALGORITHM

With over 261 million inhabitants, Indonesia is home to approximately 15,000 villages, according the Ministry of Villages, Disadvantaged Regions, and Transmigration. Among these, 1,406 are in West Java. Of 504 them advanced, 464 developing, 390 disadvantaged, 48 very disadvantaged. The CatBoost machine learning model was used classify village funds Java from 2018 2021 had an accuracy rating 75%, precision 79%, recall f1 score demonstrating its excellent performance. However, missing data points be removed analysis it suggested that a more sophisticated method for handling values should future studies. In addition, hyperparameter tuning could employed increase model's performance, variety metrics accurately assess results. Overall, may benefit Indonesian Government order their status, channel efficiently, observe situation year-over-year.