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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Fandi Ishadinata
Universitas Handayani Makassar
Computer Science & IT

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Integration of Multi-Modal Sensors and Images for Monitoring Book Stock Inventory in an Internet of Things- Based Warehouse Fandi Ishadinata; Supriadi Sahibu; Zahir Zainuddin
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.11750

Abstract

Study This designing system supervision inventory stock books in a warehouse based on the Internet of Things (IoT), with combining multi-modal sensors and digital images . The system This developed For increase accuracy recording stock , reduce errors caused humans , as well as monitor condition goods in a way directly Components device hard used includes Raspberry Pi 5 as controller , loadcell sensor for measure weight , ultrasonic sensor For evaluate capacity , and Raspberry Pi camera for needs visual verification . The information generated will sent to the IoT platform via MQTT protocol and visualized with using Node-RED. Approach study following the Research and Development (R&D) model based on ADDIE, including stages analysis needs , design , development , implementation , and assessment system . The results of implementation show that system This capable monitor stock with precise and provide announcement automatic moment capacity storage reaching the minimum limit. The combination of multi-modal sensors and imagery allows manager warehouse For get information about weight , capacity , and appearance condition goods in a way simultaneously , so that decision For filling repeat can done more fast and accurate . Trial show that this IoT technology capable increase efficiency operational , pressing cost power work , and minimize risk lost goods , making them the right modern solution For management inventory in the warehouse.
Co-Authors Supriadi Sahibu Zahir Zainuddin