IoT-Based Smart Bin Waste Management System with Real-Time Capacity Monitoring

Andre Kurniawan Pamudji, T Brenda Chandrawati, Stephani Inggrit Swastini Dewi

Abstract


Conventional waste management in Indonesia faces the challenge of inefficiency due to static transportation schedules, causing waste to pile up in crowded locations and becoming a source of environmental problems. This study aims to design and implement a smart trash can system based on the Internet of Things (IoT) as a solution to this problem. This system was developed using the Design and Build approach with the Waterfall model, integrating a Wemos microcontroller, infrared sensors for automatic opening and closing mechanisms, ultrasonic sensors for waste volume monitoring, and a web dashboard for centralized data visualization. The results of the study showed the success of the implementation of a functional prototype, starting from hardware assembly, firmware development on the microcontroller, to the backend system and database. System testing using the Black Box method showed that all main functional scenarios including user detection, automatic closing control, volume measurement, and sending data to the dashboard were 100% successful according to the design. This functional success proves that the developed prototype is a valid and potential solution to realize a more efficient, hygienic, and real-time monitorable waste management system, so that it can support better operational decision making

Keywords


IoT; smart waste management; real-time monitoring; Wemos D1 R32; ultrasonic sensor

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DOI: https://doi.org/10.24167/sisforma.v12i1.13753

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