Integration of Multi-Modal Sensors and Images for Monitoring Book Stock Inventory in an Internet of Things- Based Warehouse
DOI:
https://doi.org/10.30871/jaic.v10i3.11750Keywords:
Multi-Modal Sensors, Inventory, Raspberry Pi, WarehouseAbstract
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.
Downloads
References
[1] Aditya Anugrah Pratama. (2016). LKP: Design Get up Web- Based Stock Application in Landscape Section at PT Guntner Indonesia. 1–23.
[2] Arsada , B. (2017). Ultrasonic Sensor Applications For Detection Distance Position in Space Using Arduino Uno. Journal of Electrical Engineering, 6(2), 1–8.
[3] Crystallography, XD (2016). Loadcell Sensors. 1, 1–23.
[4] Elvaris Manalu , EA, Asmed , A., Mulyadi, M., Yuliarman, Y., & Sumiati, R. (2023). Design 3 Axis CNC Acrylic Cutting Machine With Using a CO2 Laser Tube. Journal of Mechanical Engineering , 16(1), 63–71. https://doi.org/10.30630/jtm.16.1.880
[5] Fisabili , LM, & Oktaviana Putri, TW (2021). Design Get up System Fire Extinguisher Outdoor Panel Box Fire Using Arduino Uno Based on GSM SIM800L V1. Sutet, 11(1), 51–60. https://doi.org/10.33322/sutet.v11i1.1494
[6] Hakim, MAI, & Putra, YH (2013). Utilization of Raspberry Pi Mini PC as Remote Controller Web- Based Home. Unikom . Computer Engineering Department Unikom , September 2015, 1–6.
[7] Kazuya, AS, Ariyadi , T., Dasmen , RN, & ... (2024). Design Scales Digitally Equipped with a Metal Detector as a Metal Sensor. Journal of Education, 8, pages 14261–14277. https://jptam.org/index.php/jptam/article/view/14407
[8] Pasaribu , FI, Evalina, N., Nasution, MNA, Nasution, ES, & Amiruddin, A. (2022). Design System Safety on Curved and Uphill Roads. Semnastek , 126–134.
[9] Patonra , AH, Masita, S., Wibowo, NR, & Fitriati , A. (2020). Design Build Learning Media Stepper Motor Practice . Maple (Mechatronics Journal in Professional and Entrepreneurship, 2(1), 7–12.
[10] Egg Layer , TA (2025). JUMAKOM Journal Student System JUMAKOM Journal Computer Student Computer System . 1.
[11] Sirait , DS, Yuliati , & Hadi, SM (2022). Scientific Journal Widya Teknik. Scientific Journal Widya Teknik, 21(1), 14–20.
[12] Sukadana , IW, & Darma Yuda, IMP (2021). PCB Prototyping
[13] Using Computer-Aided Design. TIERS Information Technology Journal, 2(2), 37–43. https://doi.org/10.38043/tiers.v2i2.3310
[14] Susanto, F., Prasiani , NK, & Darmawan, P. (2022). Implementation of the Internet of Things in Daily Life . Imagine Journal , 2(1), 35–40. https://doi.org/10.35886/imagine.v2i1.329
[15] Wahyudi, W., Purnamasari S, W., Hidayat, A., & Fakhri, MM (2022). Application of Machine Learning on Arduino Mega PRO MINI ATmega2560-16AU Microcontroller . Journal of Embedded Systems, Security and Intelligent Systems, 3(1), 30. https://doi.org/10.26858/jessi.v3i1.33370
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Fandi Ishadinata, Supriadi Sahibu, Zahir Zainuddin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
