"Design and Development of a Smart Mechatronic System for Waste Sorting, Shredding, and Compaction Based on Sensor Integration and Microcontroller Control"

Yosita  Lianawati; Rosalina Yani  Widiastuti; Agus  Suparno; Mikha El Charisto R; Agnes Patria W; Mikael Billyarta K

doi:10.63922/ijeter.v3i02.1909

Yosita Lianawati Computer Science Lecturer at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto, Indonesia
Rosalina Yani Widiastuti Computer Science Lecturer at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto, Indonesia
Agus Suparno Computer Science Lecturer at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto, Indonesia
Mikha El Charisto R Computer Science Student at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto,
Agnes Patria W Computer Science Student at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto,
Mikael Billyarta K Computer Science Student at Sekolah Tinggi Ilmu Komputer Yos Sudarso, Purwokerto,

DOI: https://doi.org/10.63922/ijeter.v3i02.1909

Keywords: Smart Waste System, Capacitive Sensor, Proximity Sensor, ESP32 Microcontroller, Automated Sorting, Waste Shredder

Abstract

This study presents the development of an automated Smart Waste Sorting, Shredding, and Compressing System to improve waste management efficiency. The system integrates capacitive and proximity sensors to classify waste into organic (leaves) and plastic categories with 100% accuracy in testing (20 plastic samples and 9 liters of organic waste accurately sorted). The shredded waste is reduced to 3 cm fragments, and subsequent compression achieves a 60% volume reduction, significantly optimizing storage and transport.

The system utilizes an ESP32 microcontroller for real-time control, supported by ultrasonic sensors and servo motors for precision. Experimental results demonstrate the effectiveness of the integrated design, highlighting its potential for sustainable waste management in communities and institutions. This innovation offers a practical solution to enhance recycling processes and reduce environmental impact through automation.

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