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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Riset Multidisiplin Edukasi
Johansyah Al Rasyid
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Other

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Sistem Monitoring Produk Pasar Tradisional : Studi Data Loadcell dan TCS230 Untuk Klasifikasi Berat dan Jenis Produk Muhammad Arif Perdana; Dewi Permata Sari; Johansyah Al Rasyid
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i1.5025

Abstract

Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.
IMPLEMENTASI SENSOR WARNA UNTUK SISTEM SORTIR DAN PENGISIAN BOTOL OTOMATIS BERBASIS PLC DAN ESP32 Muharram Khadafi; Iskandar Lutfi; Johansyah Al Rasyid
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 11 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi November 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i11.1116

Abstract

This research aims to develop an automated bottle filling and sorting system based on the TCS3200 color sensor, ESP32, and PLC. The system is designed to detect the label color of the bottle to determine the type of liquid to be filled either orange or lychee flavored drink and to automatically sort the bottles into the appropriate lanes. The automation process includes proximity sensors for bottle detection, a motor pump for liquid filling, and servo motors for sorting. Test results show that the system accurately detects colors and performs filling and sorting processes effectively, with a success rate of over 90%. However, some issues occurred in the capping and sorting stages due to mechanical or communication errors. This study demonstrates that the integration of ESP32, PLC, and color sensors offers an efficient and accurate solution for drink bottle production processes.
Co-Authors Dewi Permata Sari Iskandar Lutfi Muhammad Arif Perdana Muharram Khadafi