Analysis of Oceanographic Parameter Distribution of Tembang Fish Using ArcMap Case Study of the Arafura Sea

Abstract

The Arafura Sea is a water area that is rich in biodiversity, including tembang fish (Selar spp.), which have high economic and ecological value. However, fishermen often face obstacles in determining optimal fishing locations due to the lack of oceanographic information. This research aims to analyze the distribution of oceanographic parameters such as sea surface temperature (SST) and chlorophyll-a concentration using MODIS satellite imagery and ArcMap software. SST and chlorophyll-a data were processed using the Inverse Distance Weighting (IDW) method to produce a distribution map of oceanographic parameters in the Arafura Sea. The results show that the optimal SST for tembang fish ranges from 26°C to 28°C, with high chlorophyll-a concentrations (0.8–1.2 mg/m³) found in coastal areas. The combination of these two parameters identifies promising Fishing Potential Zones (ZPPI). These findings provide benefits for fishermen in reducing operational time and costs, as well as supporting the sustainability of fisheries resources. This research emphasizes the importance of using oceanographic data and geospatial technology to improve fishing efficiency and marine resource management.