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All Journal Bulletin of Network Engineer and Informatics (BUFNETS)
Muhammad Akbar
Universitas Negeri Medan
Computer Science & IT

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IOT-BASED SMART HELMET PROTOTYPE FOR FIELD SECURITY SAFETY IN OIL PALM PLANTATIONS Rasyid Abdullah Habib Syaban; Andi Prayogi; Muhammad Akbar
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/737748

Abstract

Oil palm plantation security officers face serious risks including occupational accidents, physical assaults during Fresh Fruit Bunch (FFB) theft incidents, and communication limitations in vast and remote field areas. Existing surveillance systems remain manual, lacking real-time position tracking, anomaly detection, and visual verification capabilities. This research develops an IoT-Based Smart Helmet Prototype integrating a GPS NEO-M8N module for real-time location tracking, an IMU MPU6050 sensor for four-level impact classification (NONE/LOW/MEDIUM/HIGH), and dual OV3660 cameras on two ESP32-S3 CAM WROOM N16R8 microcontrollers for simultaneous front and rear RTSP video streaming. All data is transmitted over a 4G modem to a VPS running Mosquitto MQTT broker, MediaMTX media server, Redis cache, Node.js REST API, and a Next.js web dashboard with interactive Leaflet mapping. Functional testing at the Institut Teknologi Sawit Indonesia (ITSI) Experimental Plantation demonstrated a GPS coordinate error of less than 0.0015%, IMU impact classification consistency of 98% across 50 trials, streaming latency of 3–5 seconds via HLS, MQTT average latency of 28 ms, and panic button response under 1 second. The system provides a viable IoT solution for improving field security monitoring in oil palm plantations.
Co-Authors Andi Prayogi Rasyid Abdullah Habib Syaban