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All Journal Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Journal of Marine Studies
Pane, Andina Ramadhani Putri
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Environmental Science

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KOMPOSISI JENIS DAN LAJU TANGKAP PUKAT DASAR (ARAD) DI PERAIRAN CIREBON Pane, Andina Ramadhani Putri; Widiyastuti, Heri; Mardlijah, Siti
Marine Fisheries : Journal of Marine Fisheries Technology and Management Vol. 14 No. 1 (2023): Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmf.v14i1.44237

Abstract

Pemanfaatan sumberdaya udang di perairan Cirebon masih menggunakan pukat dasar (arad) sebagai alat penangkap, walaupun sebagian dengan trammelnet. Namun penangkapan dengan pukat dasar dianggap lebih dominan menangkap sumberdaya ikan dibandingkan udang sebagai hasil tangkapan utama. Kajian dilakukan selama Januari sampai dengan Nopember 2021 dengan mendata produksi dan jenis tangkapan pukat dasar nelayan pukat dasar di Kecamatan Suraneggala, Kabupaten Cirebon. Hasil kajian menunjukkan bahwa pukat dasar menggunakan kapal kayu dengan bobot < 5 GT dan one day fishing serta termasuk pada klasifikasi pukat hela dasar berpapan. Hasil tangkapan 80,83% adalah ikan campur, sedangkan udang < 5% dari total produksi. Produksi hasil tangkapan berkisar antara 4.000 – 16. 700 kg dengan jumlah effort sebesar 20 – 140 tip dan laju tangkap rata-rata 199,4 kg/ trip. Berdasarkan hasil kajian perlu dilakukan upaya pengelolaan dalam operasional penangkapan dengan alat ini untuk efektivitas produksi.
Multivariate analysis of Bivalvia population in the Cunda Strait mangrove ecosystem, Lhokseumawe, Indonesia Syahrial, Syahrial; Ruzanna, Arina; Anggraini, Rika; Habib EY, M.; Ikhsan, Nur; Pane, Andina Ramadhani Putri; Khalil, Munawar
Journal of Marine Studies Volume 2, Issue 2 (July, 2025)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/joms.v2i2.21276

Abstract

Research on the diversity and density of Bivalvia populations as indicators of coastal ecosystem health, particularly using multivariate statistical approaches, remains limited in Lhokseumawe, Indonesia. This study aims to analyse the distribution and abundance of Bivalvia in the Cunda Strait mangrove ecosystem using multivariate statistical techniques. Field sampling was conducted in May 2024 at five observation stations, where Bivalvia were collected using a 1 x 1 m transect method. Data analysis included cluster analysis, non-metric multidimensional scaling (nMDS), analysis of similarity (ANOSIM), and similarity percentage analysis (SIMPER) to assess species diversity and population density. A total of 10 Bivalvia species, representing five genera and four families, were identified. The Shannon-Wiener diversity index ranged from 0.99 to 1.53, classifying the Bivalvia community into four distinct groups. Population density analysis revealed that Anadara sp2, Donax sp2, and Anadara sp1 exhibited the highest densities (4.80 ind/m², 2.80 ind/m², and 2.00 ind/m², respectively). Cluster and nMDS analyses further divided the Bivalvia density in the Cunda Strait into two distinct groups. The Bray-Curtis similarity index, applied by ANOSIM, indicated significant variation in the density of the Bivalvia population between observation stations (p < 0.05). SIMPER analysis identified Polymesoda sp as a key distinguishing species between multiple station pairs, including Stations 1 and 2, 1 and 3, 1 and 4, 1 and 5, 2 and 5, 3 and 5, and 4 and 5. Furthermore, Anadara sp2 was the main differentiating species between Stations 2 and 3, as well as between 2 and 4, while Anadara sp1 distinguished Stations 3 and 4. These findings highlight the spatial heterogeneity of Bivalvia communities in the Cunda Strait and underscore the utility of multivariate statistical approaches in coastal biodiversity assessments.
Co-Authors Habib EY, M. Ikhsan, Nur Mardlijah, Siti Munawar Khalil Rika Anggraini Ruzanna, Arina SYAHRIAL SYAHRIAL Widiyastuti, Heri