GeoBeeDashboard: An Intelligent Geospatial Platform for Enhancing Waste Management in Tangerang City
In this study, we created an Intelligent Geospatial Platform called GeoBeeDashboard. The GeoBeeDashboard combines advanced geospatial technologies and artificial intelligence (AI), allowing real-time data visualization and optimized decision-making across multiple sectors. The system architecture consists of a React.js-based front end, a FastAPI-driven back end, and PostGIS for geospatial data management. One of the GeoBeeDashboard’s primary use cases is addressing waste management issues in Tangerang City, Indonesia. As rapid urbanization increases waste generation, effective management becomes critical. The dashboard identifies critical trends and inefficiencies in Tangerang’s districts by K-Means clustering waste management data from 2020 to 2023. Our findings identify distinct clusters, highlighting areas with effective waste management and those that require targeted interventions. The benefits that local government can get from GeoBeeDashboard by utilising insights based on clustering analysis of data per each district in Tangerang to optimise waste collection, allocate resources efficiently, and improve the policy-making process for each district in Tangerang. The GeoBeeDashboard improves local government capabilities by providing a scalable model for other cities facing similar urban challenges. In conclusion, GeoBeeDashboard provides local governments with a powerful tool for addressing waste management inefficiencies and fostering sustainable urban development.
Authors
- Muhammad Edo Syahputra
- Alexander Agung Santoso Gunawan (ORCID: https://orcid.org/0000-0002-1097-5173)
- Fabian Surya Pramudya (ORCID: https://orcid.org/0000-0002-9443-2474)
- Muhamad Keenan Ario (ORCID: https://orcid.org/0000-0001-8450-8992)
- Edy Irwansyah (ORCID: https://orcid.org/0000-0002-3876-1943)
- Said Achmad (ORCID: https://orcid.org/0000-0002-9537-2311)
- Richie Muljana
- Syauqi Akmal Deffansyah
- Hari Andrew
Institutions
- Binus University (ID)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/comnetsat63286.2024.10862220
- Primary Topic
- Municipal Solid Waste Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00