Harun I. Akbar, Kastana Sapanli, Tridoyo Kusumastanto, Ario Damar, Wiwin Ambarwulan, Ayang A. Rosalia
The extensive coastal development in Jakarta is placing significant pressure on the water conditions of Jakarta Bay, which is suspected to have a high correlation with the fish catch yields in the bay. To investigate and analyze this issue more thoroughly, spatial analysis is required, considering the interrelated aspects of water parameters and fishery production. Based on this need, the study formulated the following objectives: 1) To identify trends in the water conditions of Jakarta Bay, 2) To analyze the correlation between fishery production and the number of fishermen, and 3) To analyze the interrelationships among various parameters.This study employs Geographic Information System (GIS) analysis of annual average data on Total Suspended Matter (TSM), Chlorophyll-a Case 2 (CHL2), and Secchi Disk Depth (ZSD) from 2017 to 2022, obtained from GlobColour. Water condition data were analyzed multivariately to determine the correlation between TSM and ZSD with CHL2. Additionally, bathymetry data and ZSD data were used to calculate seawater clarity based on visual percentage to the seabed. Fishery production data and the number of marine fishermen in Jakarta Bay were obtained from KKP statistics and subsequently analyzed to determine their correlation. Finally, all data were analyzed to determine their overall correlation with fishery production. The results are as follows: There is a very high correlation between TSM and ZSD with CHL2, with a correlation value of 0.97 and a TSM and ZSD p-value of <0.05, indicating that both parameters significantly affect CHL2 concentration. The lowest water clarity was found in area G (a hub for industries like textiles, food, chemicals, coal, and metals), with a clarity percentage ranging from 17.97% in 2017 to 21.4% in 2022. The highest clarity was found in area A (characterized by a well-maintaned mangrove forest ecosystem and luxury housing developments), with clarity percentages from 67.62% in 2017 to 54.39% in 2022. The lowest eutrophication indicator was in area D (which is a recreation, tourism, and shopping zone) with an average TSM value of 4.19 g/m3 and CHL2 of 1.86 mg/m3 in 2017, increasing to 4.80 g/m3 and CHL2 of 5.38 mg/m3 in 2022 while the highest was in area G, with an average TSM value of 7.94 g/m3 and CHL2 of 4.39 mg/m3 in 2017, rising to 24.25 g/m3 and CHL2 of 12.33 mg/m3 in 2022. There is a high correlation between fishery production and the number of fishermen, with a correlation value of 0.64, although the p-value of 0.20 indicates that the number of fishermen does not significantly affect fishery productionIn terms of geographical correlation with fishery production, the highest is in area A, with a correlation value of 0.99, while the lowest is in area D, with a correlation value of 0.65. All parameters have varying levels of influence on fishery production, though none are significant. © 2024, BIOFLUX SRL. All rights reserved.
Study Program of Tropical Ocean Economics, Department of Resource and Environmental Economics, IPB University, West Java, Agatis Street, Dramaga Bogor, 16680, Indonesia; Center for Coastal and Marine Resources Studies, IPB University, West Java, Pajajaran Raya Street No.1, Baranangsiang Bogor, 16128, Indonesia; Department of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, IPB University, West Java, Dramaga Bogor, 16680, Indonesia; Research Center for Limnology and Water Resources, Research Organization for Earth Sciences and Maritime, National Research and Innovation Agency, West Java, Cibinong Bogor, 16915, Indonesia; Study Program of Marine Information Systems, Universitas Pendidikan Indonesia, Ciracas Street No. 38, Serang Banten, 4116, Indonesia
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