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All Journal Jurnal Perikanan Universitas Gadjah Mada Jurnal Segara
Nurzeha, Ridwan
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Environmental Science Immunology & microbiology Materials Science & Nanotechnology

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MARINE COPERNICUS OCEANOGRAPHIC DATA ANALYSIS: A COMPARATIVE STUDY WITH BUOY RAMA MEASUREMENTS Nurzeha, Ridwan; Lumban-Gaol, Jonson; Bahri Agus, Syamsul
Jurnal Segara Vol 20, No 1 (2025): June
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v20i1.16083

Abstract

Oceanographic data such as Sea Surface Temperature (SST), Sea Surface Salinity (SSS), and Sea Surface Height (SSH) have a significant role in understanding ocean related studies, such as fisheries and ocean biology. This study analyzed the accuracy of Marine Copernicus datasets by comparing with data from buoy RAMA in the Indian Ocean. The results show a strong correlation for SST (r=0.988, R2=0.976, bias -0.020, RMSE 0.110) and SSS (r=0.960, R2=0.921, bias -0.001, RMSE 0.119). For SSH, after correction also has strong correlation with lower bias (r=0.934, R2=0.872, bias -0.000, RSME 0.032). The seasonal trend analysis shows SST peaks in April-May and declines to its lowest in September, while salinity increases from April to July-August before decreasing. SSH has a rising trend from January to June and declines afterward. These findings suggest that Marine Copernicus data provide reliable SST, SSS, and SSH estimates.
Comparing Vessel Monitoring System and Logbook Data for Skipjack Tuna Habitat Modeling in Eastern Indian Ocean Nurzeha, Ridwan; Gaol, Jonson Lumban; Agus, Syamsul Bahri; Alam, Al Fajar
Jurnal Perikanan Universitas Gadjah Mada Vol 27, No 2 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfs.107568

Abstract

Skipjack tuna (Katsuwonus pelamis) is important to Indonesian fisheries, which lead to the need of accurate habitat prediction for sustainable management. This study assesses the spatiotemporal coverage and predictive utility of logbook and Vessel Monitoring System (VMS) data for skipjack habitat modeling using MaxEnt, with sea surface temperature (SST), chlorophyll-a, sea surface height (SSH), and salinity as predictors. Findings indicate VMS offers broader positional coverage but suffers from behavioral ambiguity, whereas logbook data, though spatially limited, provides higher accuracy due to direct catch reporting. Model evaluations showed comparable performance: the VMS-derived model achieved an AUC of 0.760 and an F1-score of 0.658, while the logbook-derived model yielded an AUC of 0.742 and an F1-score of 0.624. However, distribution analysis revealed the logbook-derived model performed better, with 87.5% of fishing events occurring in higher Habitat Suitability Index (HSI) areas compared to 73.1% for the VMS-derived model. These results suggest VMS data presents a viable alternative and comparative data source to logbook records for habitat modeling, offering opportunities to enhance fisheries management.
Co-Authors Alam, Al Fajar Jonson Lumban Gaol Syamsul Bahri Agus, Syamsul Bahri