Forecasting Analysis of Heavy Metal Concentrations in the Ciliwung River Using Random Forest and Xgboost Methods
This study utilizes Random Forest and XGBoost algorithms to forecast heavy metal (Pb, Cd, Hg) concentrations in the Ciliwung River for 2024–2030, finding that XGBoost offers superior predictive accuracy and projecting that while levels will remain within Indonesia's Government Regulation No. 22 of 2021 Class II standards, continued monitoring is essential as Cd and Pb approach threshold limits.