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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Felix Taslim
Universitas Bunda Mulia
Computer Science & IT

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Implementasi IoT Dan Digital Twin Pada Sistem Gudang Beras Pintar Untuk Monitoring Dan Pengendalian Lingkungan Felix Taslim; Jusia Amanda Ginting
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 7 No 1 (2026): October 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v7i1.16692

Abstract

Rice storage quality is heavily influenced by warehouse environmental conditions, particularly temperature, humidity, and gas/smoke. Manual monitoring has limitations in continuity, response speed, and data traceability. This study implements a smart rice warehouse prototype based on the Internet of Things (IoT) and Digital Twin (DT) using ESP32, DHT22 sensors, MQ-2 sensors, a ThingsBoard dashboard, and actuators (fan module, buzzer, and RGB LED). Built via the prototyping method, the system applies worst-case scenario fuzzy logic to classify environmental conditions into Safe, Warning, or Danger based on the most critical parameter. Testing across eight scenarios evaluated high temperature, high humidity, high gas levels, and simultaneous hazardous conditions in two warehouse zones. Results demonstrate the system updates the DT dashboard at an average interval of 5 seconds and automatically triggers actuators during abnormal conditions. These findings confirm that integrating IoT, DT, and fuzzy logic effectively supports warehouse monitoring and early warning systems for rice storage.
Co-Authors Jusia Amanda Ginting