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.
Keywords: ESP32, IoT inventory, mobile application, multi-object detection, proximity sensor, UHF RFID
Faisal Candrasyah Hasibuan, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Born in Bandung city. Received a bachelor's degree in engineering from the Computer Engineering Study Program, Faculty of Electrical Engineering, Telkom University in 2014. Master's degree in engineering was obtained from the Electrical Engineering Study Program with Computer Engineering option at the School of Electrical Engineering and Informatics, Institut Teknologi Bandung in 2017. Currently dedicated as a lecturer at his undergraduate alma mater. Also affiliated as a member of the Signal Processing, Information Security, and Computer Engineering (SPICE) Research Group. Also involved in the Center of Excellence Advanced ICT Infrastructure and Services (CoE AIIS). Research interests include Computer Engineering, Embedded Systems, and Artificial Intelligence of Things (AIoT).
Ashri Dinimaharawati, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Ashri Dinimaharawati (born in Bandung, 1993) received her Education degree in Computer Science Education from the Indonesia University of Education in 2015. She obtained her master's degree in Electrical Engineering from the School of Electrical Engineering and Informatics, Institut Teknologi Bandung, in 2018. Her current research interests are games development and programming.Currently working as a lecturer at a Telkom University.
Hasbi Ash Shiddieqy, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Hasbi Ash Shiddieqy received a B.Eng. in electrical engineering from Telkom University, Indonesia, in 2013 and M.Sc. in microelectronics from Institut Teknologi Bandung (ITB), Indonesia, in 2018. Currently, he is Lecturer in Computer Engineering Telkom University. His research interests include VLSI design, machine learning, power system, and embedded system.
Faraday Barr Fatahillah, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Born in Malang. Currently a final-year student in the Computer Engineering Study Program at Telkom University. Current activities include serving as a Teaching Assistant, Head of Academic and Professional Department of the Computer Engineering Student Association, and Deputy Coordinator of the i-Smile (Intelligent System and Machine Learning) Laboratory Assistant. Currently interested in AI and Machine Learning development, Data Analysis and Processing, as well as IoT.
Axel David, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Born in Makassar. Currently a final-year student in the Computer Engineering Study Program at Telkom University. At present, he is focused on completing his Final Project as part of the graduation process. Besides academic activities, he is also active in student organizations and serves as Secretary of the Communication and Information Department in the student association and also acts as a laboratory assistant for Cloud Computing practical courses. In addition, he is developing interests and competencies in the field of Artificial Intelligence (AI) and Machine Learning, as well as web application implementation and plans to continue his studies abroad.
Muhammad Rafindha Aslam, Bachelor's Degree Program in Computer Engineering, School of Electrical Engineering, Telkom University, Indonesia
Born in Semarang city. Currently in the 8th semester of the Computer Engineering Study Program at Telkom University. Current campus activities include serving as Supervisory Board of Student Organization in the Computer Engineering Student Association and focusing on completing the Final Project. Currently has interests in Machine Learning and Internet of Things (IoT) fields.
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