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Monitoring Biodiversitas Ikan Sebagai Bioindikator Kesehatan Lingkungan Di Ekosistem Sungai Belawan

Jurnal Ilmu Alam dan Lingkungan · Vol. 11 No. 2 (2020)

DOI
10.70561/jal.v11i2.9927
ISSN
2549-8819, 2086-4604
Terbit
2020-05-08
Penerbit
Universitas Hasanuddin
Bahasa
en

Abstrak

Fish as a wealth of biological and germplasm as well as the constituent of ecological systems on a water. One of the main issues threatening fish biodiversity is the problem of environmental pollution from the company's waste into the river. Need a study that can analyse the impact of atropogonic on the presence of fish in the concept of biodiversity. Monitoring the easiest impacts of environmental pollution is to observe the biodiversity of fish as a constituent ecosystem. Based on the known literature that fish bidiversities can be used as bioindicators to determine the level of environmental pollution. This research aims to determine the condition of fish biodiversity in the region as well as the company as environmental health monitoring efforts of Belawan River. Research is conducted in an exploratory, where fish sampling station is determined through pusposive sampling method. Fish sampling using the capture equipment: fishing rod, gill nets, stocking nets, and fish trap. Data analysis using Microsoft Excel program 2010. The results of the study gained an amount of catch-up of 151 individuals derived from a total of 22 species of fish. Biodiversity Index (H’) on Station 1 (2,46), Station 2 (2,64), and Station 3 (2,45); Uniformity index (J') on Station 1 (0,82), Station 3 (0,88), and Station 3 (0,82); Dominancy Index (C) on Station 1 (0,05), Station 2 (0,06), and Stasiun3 (0,04).

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13 penulis · 24 tautan kepenulisan bersama · 16 lintas organisasi

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  • Universitas Labuhanbatu
  • Universitas Bung Hatta
  • Universitas Trisakti
  • Universitas Dharmawangsa
  • State University of Semarang
  • Universitas Negeri Padang
  • The University of Adelaide
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Rekan penulisOrganisasiArtikel bersama
Rivo Hasper DimentaUniversitas Labuhanbatu1
Riska AgustinaState University of Semarang1
Rusdi MachrizalUniversitas Labuhanbatu1
KhairulAfiliasi tidak diketahui1
Hendra HidayatUniversitas Negeri Padang1
Susi HerawatiUniversitas Bung Hatta1
Boy Yendra TaminUniversitas Bung Hatta1
Eril SyahmaidiUniversitas Bung Hatta1
Rina Kurniasri KusumaratnaUniversitas Trisakti1
Mohammad Afzal MahmoodThe University of Adelaide1
Maskito Asmadi SoerjoasmoroUniversitas Trisakti1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jai2/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Monitoring Biodiversitas Ikan Sebagai Bioindikator  Kesehatan Lingkungan Di Ekosistem Sungai Belawan</dc:title>
	<dc:creator xml:lang="en">Manullang, Helentina Mariance</dc:creator>
	<dc:creator xml:lang="en">Khairul, Khairul</dc:creator>
	<dc:description xml:lang="en">Fish as a wealth of biological and germplasm as well as the constituent of ecological systems on a water. One of the main issues threatening fish biodiversity is the problem of environmental pollution from the company's waste into the river. Need a study that can analyse the impact of atropogonic on the presence of fish in the concept of biodiversity. Monitoring the easiest impacts of environmental pollution is to observe the biodiversity of fish as a constituent ecosystem. Based on the known literature that fish bidiversities can be used as bioindicators to determine the level of environmental pollution. This research aims to determine the condition of fish biodiversity in the region as well as the company as environmental health monitoring efforts of Belawan River. Research is conducted in an exploratory, where fish sampling station is determined through pusposive sampling method. Fish sampling using the capture equipment: fishing rod, gill nets, stocking nets, and fish trap. Data analysis using Microsoft Excel program 2010. The results of the study gained an amount of catch-up of 151 individuals derived from a total of 22 species of fish. Biodiversity Index (H’) on Station 1 (2,46), Station 2 (2,64), and Station 3 (2,45); Uniformity index (J') on Station 1 (0,82), Station 3 (0,88), and Station 3 (0,82); Dominancy Index (C) on Station 1 (0,05), Station 2 (0,06), and Stasiun3 (0,04).</dc:description>
	<dc:publisher xml:lang="en">Universitas Hasanuddin</dc:publisher>
	<dc:date>2020-05-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://journal.unhas.ac.id/index.php/jai2/article/view/9927</dc:identifier>
	<dc:identifier>10.70561/jal.v11i2.9927</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ilmu Alam dan Lingkungan; Vol. 11 No. 2 (2020): Jurnal Ilmu Alam dan Lingkungan</dc:source>
	<dc:source>2549-8819</dc:source>
	<dc:source>2086-4604</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jai2/article/view/9927/5154</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 Jurnal Ilmu Alam dan Lingkungan</dc:rights>
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