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All Journal Best : Journal of Applied Electrical, Science and Technology
Khairun Nadia, Amalia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Design of IoT-Based Monitoring System on Miniature Automated Storage and Retrieval System (ASRS) with Barcode-Based Item Identification Using ESP32 Khairun Nadia, Amalia; Andrasto, Tatyantoro; Norman Syah, Mario
BEST Vol 8 No 2 (2026): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/fd514w79

Abstract

This study aims to design and develop a monitoring system for a miniature Automated Storage and Retrieval System (ASRS) based on Internet of Things (IoT) with barcode-based item identification using the ESP32 microcontroller. The system integrates the GM65-S barcode scanner, two ESP32 units as input and robot arm controllers, a MySQL database with 11 relational tables, and a web monitoring dashboard (SmartASRS) accessible at https://smartasrs.my.id. The research adopted the Research and Development (R&D) method with the Waterfall model. Testing was performed using Black Box Testing on all implemented features. Results showed a 100% success rate across 42 web monitoring test scenarios spanning 6 modules, and 100% across 81 database test scenarios spanning 11 tables. The system supports three item retrieval modes: FIFO (First In First Out), LIFO (Last In First Out), and FEFO (First Expired First Out). All features including real-time storage grid monitoring, barcode identification, robot progress tracking, and activity history functioned as designed. The SmartASRS system demonstrates that an integrated IoT-based ASRS monitoring solution can be effectively realized on a miniature scale as both a functional warehouse management system and an industrial automation learning medium.
Co-Authors Norman Syah, Mario Tatyantoro Andrasto