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All Journal IJAIT (International Journal of Applied Information Technology)
Aslam, Muhammad Rafindha
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Computer Science & IT

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Multi-Object Inventory System Using Ultra-High Frequency Radio Frequency Identification (UHF RFID) Based on Internet of Things Hasibuan, Faisal Candrasyah; Dinimaharawati, Ashri; Ash Shiddieqy, Hasbi; Fatahillah, Faraday Barr; David, Axel; Aslam, Muhammad Rafindha
IJAIT (International Journal of Applied Information Technology) Vol 08 No 02 (November 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i2.9571

Abstract

This study develops an IoT-based inventory system that integrates UHF RFID technology with proximity sensors and an Android application to enable real-time multi-object tracking. The system automatically detects item movement direction (in/out) through sensor sequencing and provides cloud-based monitoring. Testing revealed exceptional single-object performance (100% accuracy at 1-5m distance; 1.53-1.62s avg. transmission time), but significant degradation with multiple objects, particularly beyond 3m (e.g., 5% accuracy for three objects at 5m). Although API integration enabled efficient data transmission, performance was constrained by ESP32 buffer limitations, RFID tag quality, and network stability. The solution demonstrates potential for low- to moderate-intensity inventory environments, providing a foundation for improving accuracy, although further comparative evaluation is required.
Co-Authors Ash Shiddieqy, Hasbi Ashri Dinimaharawati David, Axel Faisal Candrasyah Hasibuan Fatahillah, Faraday Barr