Issue |
E3S Web Conf.
Volume 611, 2025
2nd International Symposium on Environmental and Energy Policy (ISEEP 2024)
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Article Number | 01002 | |
Number of page(s) | 11 | |
Section | Climate Change, Sustainability, and Coastal Management | |
DOI | https://doi.org/10.1051/e3sconf/202561101002 | |
Published online | 24 January 2025 |
Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System
Department of Information Technology State Polytechnic of Malang, Indonesia
* Corresponding author: puspakirana@polinema.ac.id
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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