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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Elektro Jurnal Inspiration Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Sebatik Jurnal Riset Informatika Journal of System and Computer Engineering Journal Peqguruang: Conference Series Jurnal Pengabdian Masyarakat UNIPOL Ceddi Journal of Information System and Technology (JST) Jurnal Teknik Informatika dan Teknologi Informasi JTT: Journal Teknik Dan Teknologi
Supriadi Sahibu
Pascasarjana Sistem Komputer STMIK Handayani Makassar
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Journal : journal of applied informatics and computing

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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.
Multimodal Sensor Evaluation for Fish Pond Water Quality Monitoring Zein Rifal; Syafruddin Syarif; Imran Taufik; Mashur Razak; Supriadi Sahibu; Respaty Namruddin
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.v10i3.12656

Abstract

Freshwater aquaculture requires continuous water quality monitoring because rapid changes in temperature, pH, dissolved oxygen, turbidity, total dissolved solids, and water level can affect fish health and pond productivity. This study evaluates a multimodal sensor system for real-time fish pond water quality monitoring and dashboard-based actuator control. The system integrates six sensors with Arduino Mega for signal acquisition, ESP32 for Wi-Fi communication, Firebase for cloud data storage and command exchange, and a Flutter dashboard for visualization and manual control. Field testing was conducted in two tilapia ponds with different initial conditions. Sensor performance was evaluated by comparing five measurable parameters with reference instruments using percentage error, accuracy, mean absolute error, and root mean square error, while turbidity was assessed through functional contrast testing and short-term stability because a turbidity reference instrument was unavailable. The average accuracy of the five validated parameters was 87.37% in pond 1 and 95.58% in pond 2. Temperature and water level showed the highest accuracy, above 98% in both ponds. Dissolved oxygen and total dissolved solids showed larger deviations, especially in pond 1, indicating sensitivity to field conditions and calibration stability. Actuator commands for the aerator and circulation pumps responded within 1-2 seconds under stable network conditions. The results show that the system is useful as a preliminary field-validated monitoring and semi-automatic control platform, but further work is required for long-term drift testing, turbidity validation using a commercial meter, and automatic control evaluation.
Co-Authors Abdul Jalil Abdul Latief Arda Abdullah, Alfiah Agusriandi, Agusriandi Agussalim, Agussalim Akbar Akbar Amiruddin A Andani Achmad Andani Achmad Arisha, Zanifah Butsiarah Fajar Husain A Fandi Ishadinata Farida Farida Hatma Hatma Husni Sulaiman Ilin Sukma Imran Taufik Imran Taufik Jawati Jawati Kamaruddin Mashur Razak Muh. Ilham Ramadhan Muslihan, Muslihan Nur Iman Nurul Hidayah Respaty Namruddin Rifaldy Ramadhan Latief Rismawati Bambang Sri Kurniyan Sari Syafruddin Syarif Syafruddin Syarif WILYAM ARIESTA HALUK Yuyun Yuyun Yuyun Zahir Zainuddin Zahir Zainuddin Zahir Zainuddin Zahir Zainuddin Zahir Zainuddin3 Zein Rifal