Abstract
This research presents the development of a Web GIS system using a Decision Tree algorithm to classify and map air pollution levels in the Jabodetabek region. The system integrates real-time air quality data from the AQICN API, focusing on key pollutants such as PM10, PM2.5, NO2, O3, and SO2. Through spatio-temporal analysis, it provides accurate visualizations of pollution levels, offering valuable insights into urban environmental health. The Decision Tree algorithm demonstrated high accuracy, with precision, recall, and F1-scores near 100% in cities like Jakarta, Bogor, Depok, and Bekasi. In Tangerang, where pollution varies, accuracy remained high. User Acceptance Testing showed an acceptance score of 86.75%, indicating reliability and strong user approval. These findings suggest that the system can effectively support air quality management and increase public awareness about environmental protection in Jabodetabek.
Published Version
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