Capture Area Compatibility with Map of Fishery Potential Area Based on Chlorophyl-a and Sea Surface Temperature in Aru Sea Waters-Indonesia

Abstract

The Republic of Indonesia's Fisheries Management Area (Wilayah Pengelolaan Perikanan Negara Republik Indonesia) marine waters is an area with high capture fisheries potential, reaching 20% of the national fish potential. Fishing is often hampered by the lack of information related to Fishing Potential Zones, resulting in reduced efficiency. The solution offered is to utilize geographic information systems (GIS) or remote sensing with aqua MODIS satellite images of chlorophyll-a and sea surface temperature as data for mapping potential fishing zones. The objectives of this research are to understand the operation of purse seines, analyze the influence of sea surface temperature and chlorophyll-a on purse seine catches, and determine the level of suitability of fishing areas with maps of potential fishing zones. To answer the objective, non-experimental based applied research was conducted with a case study approach, survey method and correlation approach to determine the effect of chlorophyll-a and sea surface temperature variables on catches. The tools used hardware, namely laptops and computers with the software needed research are SEADAS, SAGA, QGIS, Ms. Excel and SPSS. Data on the distribution of and chlorophyll-a used in the study are data from Aqua MODIS level 1x1 kilometer resolution downloaded on the page https://oceancolor.gsfc.nasa.gov/. As for the results of statistical testing, there is an influence of chlorophyll-a and sea surface temperature simultaneously and partially on the catch by giving an influence of 73.6%. With the distribution of chlorophyll-a concentration and sea surface temperature in the KM fishing area. The level of conformity of fishing areas with maps of potential fishing zones on fishing trips from December 2020 to April 2021 reached a percentage of conformity of 55.93% with a total catch of 209,360 Kg, indicating the selection of fishing areas by conventional skippers on KM XXX compared to the forecast of fishing areas using aqua MODIS satellite imagery remote sensing technology can be categorized as good even though it only relies on experience and information about fishing areas from other vessels.