Optimalisasi Penggunaan Teknologi Echosounder Untuk Estimasi Stok Ikan Pelagis Kecil Di Wilayah Pengelolaan Perikanan Negara Republik Indonesia (WPPNRI) 714

Abstract

This study examines the optimization of echosounder technology for small pelagic fish stock estimation in Indonesian Fisheries Management Area (WPPNRI) 714. Conventional methods, often lacking accuracy, have driven the use of acoustic technology as a more efficient and reliable alternative. The research employs a combined acoustic-biological survey approach, where split-beam echosounder data are integrated with biological sampling using a purse seine. The results demonstrate that echosounder data can provide highly accurate biomass estimations after a meticulous calibration process and validation with fish sample data. Further analysis reveals an uneven distribution of biomass, with the highest densities detected in areas characterized by productive oceanographic conditions, such as high chlorophyll-a concentrations. The integration of acoustic and oceanographic data proves effective in predicting fishing hotspots. Despite challenges in species identification based on acoustic data alone, these findings highlight the echosounder as an essential tool to support data-driven fisheries management. The study provides practical recommendations for sustainable stock monitoring, which is crucial for the long-term viability of small pelagic fish resources in Indonesia.