Performance Analysis of Air Pollution Classification Prediction Map with Decision Tree and ANN

Jakarta is a city in Indonesia that has high population density must pay attention to its health condition. Good air quality provides positive benefits support public so they can be more productive at work and create fresh healthy air. This study uses Machine Learning classify based on certain attributes. Then, the development of prediction model time data designed produce predictive map pollution area for next 3 years. The methods applied are Decision Tree Artificial Neural Networks. As result, Network models show very good accuracy predictions from 2024 2026. get an 98% 94%. In 2025 99% 93% accuracy. 2026 94% which seen superior with difference 1 - 6%.