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 |
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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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| _version_ | 1832098396778790912 |
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| author | Kirana Annisa Puspa Saleh Wildan Abdul Rachman Sabilla Wilda Imama Vista Candra Bella Wakhidah Rokhimatul Wijayaningrum Vivi Nur |
| author_facet | Kirana Annisa Puspa Saleh Wildan Abdul Rachman Sabilla Wilda Imama Vista Candra Bella Wakhidah Rokhimatul Wijayaningrum Vivi Nur |
| author_sort | Kirana Annisa Puspa |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-31fb1686dd374485b81526fe172fc015 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-31fb1686dd374485b81526fe172fc0152025-02-05T10:50:41ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016110100210.1051/e3sconf/202561101002e3sconf_iseep2025_01002Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS SystemKirana Annisa Puspa0Saleh Wildan Abdul Rachman1Sabilla Wilda Imama2Vista Candra Bella3Wakhidah Rokhimatul4Wijayaningrum Vivi Nur5Department of Information Technology State Polytechnic ofDepartment of Information Technology State Polytechnic ofDepartment of Information Technology State Polytechnic ofDepartment of Information Technology State Polytechnic ofDepartment of Information Technology State Polytechnic ofDepartment of Information Technology State Polytechnic ofThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_01002.pdf |
| spellingShingle | Kirana Annisa Puspa Saleh Wildan Abdul Rachman Sabilla Wilda Imama Vista Candra Bella Wakhidah Rokhimatul Wijayaningrum Vivi Nur Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System E3S Web of Conferences |
| title | Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System |
| title_full | Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System |
| title_fullStr | Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System |
| title_full_unstemmed | Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System |
| title_short | Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System |
| title_sort | spatio temporal analysis and real time air quality monitoring using historical data and laravel a decision tree based web gis system |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/11/e3sconf_iseep2025_01002.pdf |
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