CD Skripsi

Pemetaan daerah penangkapan nelayan desa dompas, kecamatan bukit batu berbasis data tracking global positioning system

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Species diversity in the waters of Padang Strait presents both challenges and opportunities for fishermen, significantly contributing to local economic welfare. This study aims to utilize GPS (Global Positioning System) technology to effectively map fishing grounds and analyze the movement patterns of fishing boats in Dompas Village. Data was collected from January to April 2024 using six GPS units placed on the fishing vessels. The research methodology included survey and observation techniques to gather data on tracking boat routes and fish catches. The clustering analysis of fishing grounds was conducted using the hierarchical clustering method based on species diversity through RStudio software. The results were further analyzed using Similarity Percentage analysis (SIMPER) to determine the contribution of individual species to the observed differences between groups. The findings revealed 28 species of fish caught, with a total catch of 10,343 fish and a cumulative weight of 375,143 kg. The hierarchical clustering analysis identified 9 distinct clusters, each representing fishing locations characterized by species similarity. Cluster 1 is dominated by Gulama, Biang, and Prawn species, while Cluster 2 features Lomek, Shrimp, and Biang. Cluster 3 shows dominance of Biang, Tenggiri, and Shrimp, and Cluster 4 is again dominated by Lomek, Shrimp, and Biang. Clusters 5 and 6 are characterized by dominance of Shrimp, Lomek, and Gulama. Cluster 7 includes a mix of Shrimp, Lomek, and Biang, while Cluster 8 shows Shrimp and Lomek dominance. Lastly, Cluster 9 is primarily composed of Lomek and Pias species. These results highlight the multispecies nature of Padang Strait waters, emphasizing the need for sustainable management strategies to ensure ecosystem-friendly utilization of fishery resources. Further research is recommended to monitor fish distribution patterns
Keywords: Dompas village, fishing ground, GPS, cluster analysis
1) Student of the Fisheries and Marine Science Faculty, University of Riau
2) Lecturer of the Fisheries and Marine Science Faculty, University of Riau

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2004112337

Penerbit

Pekanbaru : Universitas Riau – F.PERIKANAN – Pemanfaatan Sumber Daya Perikanan., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2004112337

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

PEMANFAATAN SUMBER DAYA PERIKANAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

Rahmat

Versi lain/terkait

Lampiran Berkas

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