DESIGN AND CONSTRUCTION OF A FULLNESS MONITORING SYSTEM INTERNET OF THINGS BASED TRASH CAN USING FUZZY LOGIC
Keywords:
ESP32, Fuzzy Tsukamoto, Internet of Things, MQTT, Waste Bin Monitoring.Abstract
This study aims to design an Internet of Things (IoT)-based waste bin fullness monitoring system using the Fuzzy Tsukamoto logic method. The system integrates an ESP32 microcontroller, an HC-SR04 ultrasonic sensor, an RTC DS3231 module, and an SD Card module installed on waste bins within the Universitas Wiraraja environment. Waste volume data and the duration since the last waste collection are processed using the Fuzzy Tsukamoto method with 15 rules to determine the priority status for waste collection. The system implements a layered architecture using MQTT communication, a Node.js backend, Firebase Realtime Database, and a Vue.js dashboard. The test results show that the sensor achieves an accuracy with an average error tolerance of less than ±0.5 cm. MQTT transmission operates stably, with all messages successfully delivered in less than 1 second. Testing of the consistency of the fuzzy output shows that the Z* values remain stable under the same input conditions. The conclusion of this study is that the system successfully visualizes waste bin fullness data in real time, integrates a multi-status waste collection workflow, and provides adaptive priority information to support more efficient waste collection decisions.
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Copyright (c) 2026 Moh. Zainal Fatah, Iddrus Iddrus, Rizal Sapta Dwi Harjo (Author)
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