Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System
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. Throug...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_01002.pdf |
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| Summary: | 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. |
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| ISSN: | 2267-1242 |