Sistem Monitoring Keselamatan Kapal Nelayan Berbasis Internet Of Things

Abstract

This research develops an Internet of Things (IoT) based fishing vessel safety monitoring system that focuses on detecting the tilt and location of the vessel. The fishing industry in Bengkalis Regency faces challenges in fishermen's safety and resource sustainability due to a lack of real-time monitoring. The proposed system uses a SIM808 GSM module and an MPU6050 sensor, integrated with an Arduino platform, to monitor in real-time and accurately the ship's position and inclination. Ship tilt information is very critical in preventing ship accidents which often occur due to ship instability in the middle of the sea. This system provides fishermen with early warning of potentially dangerous conditions, allowing them to take corrective action before an accident occurs. In addition, monitoring vessel location ensures that vessels are in safe fishing zones and comply with fisheries regulations, while enabling authorities to carry out rapid rescue in cases of emergency. The system also supports fishermen in optimizing fishing routes to increase fuel efficiency and catch. Thus, this research not only contributes to fishermen's safety but also operational efficiency and sustainability of fisheries resources in Bengkalis.