Pengembangan lanjutan dan Implementasi Instrumen Trekfish untuk Analisis Aktivitas Melaut Harian Nelayan Skala Kecil di Muaragembong

Abstract

Penelitian ini dilatarbelakangi oleh keterbatasan pemantauan aktivitas melaut dan pencatatan hasil tangkapan nelayan skala kecil yang masih dilakukan secara manual dan tidak terintegrasi. Penelitian ini bertujuan mengembangkan dan menguji sistem Trekfish berbasis Internet of Things (IoT) untuk memantau posisi kapal, mengidentifikasi fase aktivitas melaut, dan mencatat hasil tangkapan secara real-time melalui platform web. Metode yang digunakan adalah rancang bangun dan uji lapangan sistem berbasis ESP32 dengan modul GPS dan SIM7000E, serta sistem daya baterai dan panel surya selama lima hari di perairan Muaragembong. Hasil menunjukkan sistem mampu mengidentifikasi fase dermaga, jalan, operasi penangkapan, dan unknown berdasarkan pola pergerakan kapal, interval pengiriman data, dan kontinuitas sinyal. Hasil tangkapan rajungan di Muaragembong pada tanggal 22-26 Desember berkisar 5.0–8.4 kg per hari, dengan tegangan sistem stabil pada 3.3–4.2 V. Kebaruan penelitian terletak pada integrasi pemantauan real-time, analisis fase aktivitas, tegangan baterai, dan pencatatan hasil tangkapan untuk mendukung keselamatan nelayan dan pengelolaan perikanan berbasis data.

This study is motivated by the limitations in monitoring fishing activities and recording catches among small-scale fishers, which are still conducted manually and lack integration. The research aims to develop and evaluate Trekfish, an Internet of Things (IoT)-based system for real-time vessel position monitoring, fishing activity phase identification, and integrated catch recording through a web platform. The method involved system design and field testing using an ESP32 with GPS and SIM7000E modules, and a solar-powered battery system for five days in the waters of Muaragembong. The results show that the system successfully identified the phases of dock, transit, fishing operation, and unknown based on vessel movement patterns, data transmission intervals, and signal continuity. Blue swimming crab catches ranged from 5.0 to 8.4 kg per day, with stable voltage at 3.3–4.2 V. The novelty lies in integrating real-time monitoring, activity phase analysis, battery voltage monitoring, and catch recording to support fisher safety and data-driven fisheries management.