I-Bin App: An Intelligent Waste Alert Monitoring System

Noor Shahida Mohd Kasim, Mohd Fazli Mohd Sam, Nurul Awatif Mohd Maliku, Siti Rosmaniza Ab Rashid and Siti Normi Zabri
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Noor Shahida Mohd Kasim: Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka
Mohd Fazli Mohd Sam: Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka
Nurul Awatif Mohd Maliku: Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka
Siti Rosmaniza Ab Rashid: Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka
Siti Normi Zabri: Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3, 3968-3977

Abstract: Waste management remains a critical global challenge, exacerbated by rapid urbanization and population growth. Traditional waste collection systems, often inefficient and resource-intensive, fail to address the complexities of modern urban environments. This study proposes the I-Bin App, an intelligent waste alert monitoring system designed to enhance waste management efficiency through real-time data collection and user engagement. Developed using Visual Studio Code and hosted on Firebase, the app features a user-friendly interface and robust backend, enabling waste management teams to monitor, analyze, and schedule collections based on real-time data. The I-Bin App introduces a collaborative model that engages citizens in waste management, shifting the responsibility from solely municipal services to an inclusive approach. A pilot study conducted with 50 households demonstrated significant improvements in waste collection efficiency, reducing travel distances and collection times while optimizing route planning. This study highlights the potential of technology-driven solutions and community engagement in addressing pressing environmental challenges.

Date: 2025
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