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ANALYSIS OF PHYSICO–CHEMICAL PARAMETERS ON PHYTOPLANKTON ABUNDANCE IN THE WATERS OF LABAKKANG DISTRICT, PANGKEP REGENCY

Jurnal Ilmu Kelautan SPERMONDE · Vol. UME (2024) · pp. 23–29

DOI
10.20956/jiks.v10i1.30100
ISSN
2614-5049, 2460-0156
Published
2024-06-11
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Pangkep Regency is dominated by pond areas, one of which is located in Labakkang District. These aquaculture activities affect physico-chemical parameters in the waters. This study was aimed to analyze the influence and relationship of physico-chemical parameters on phytoplankton abundance in the waters of Labakkang District, Pangkep Regency. Data were collected using purposive sampling method in several locations, namely waters around river mouths, waters around mangroves, pond discharge waters and waters around docks. The physico-chemical parameters observed include temperature, salinity, nitrate, phosphate, Total Suspended Solid (TSS), carbon dioxide and current velocity. The results showed that the highest phytoplankton abundance was found in the waters around the river mouth with a value of 741 cells/L, while the lowest abundance was found in the pond discharge waters with a value of 154 cells/L. At the station, the highest values were obtained in the temperature parameter of 32,67ºC, nitrate of 0,03 mg/L, phosphate of 0,08 mg/L, TSS of 25,26 mg/L and current speed of 0,25 m/s. The high abundance of phytoplankton is inversely proportional to the salinity level in the water, which is 29%ₒ. The results of the analysis using the one-way ANOVA statistical test showed significant differences in phytoplankton abundance as well as temperature, salinity and TSS parameters between sampling stations. Then multiple regression analysis showed that the most influential parameters on phytoplankton abundance were temperature, nitrate, and TSS with a coefficient of determination of 92,8%. The results of this study can serve as a basis for more effective water management and better environmental monitoring in the context of aquaculture activities in the region.

Keywords

Collaboration network of the authors

40 authors · 190 co-authorship links · 9 across different organisations · showing the 40 most connected

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  • Hasanuddin University
  • Universitas Cokroaminoto Makassar
  • Kementerian Pariwisata
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Amir Hamzah MuhiddinHasanuddin University6
Chair RaniHasanuddin University4
Muh. Farid SamawiHasanuddin University3
Shinta WerorilangiHasanuddin University3
Akbar TahirHasanuddin University3
Mahatma LanuruHasanuddin University3
Ahmad FaizalHasanuddin University3
Muhammad Anshar AmranHasanuddin University3
Muhammad Farid SamawiHasanuddin University2
Andi Iqbal BurhanuddinHasanuddin University2
Noviani MunsirAffiliation unknown1
Muhtazib MuhtazibUniversitas Cokroaminoto Makassar1
Nurul Hidayah NurUniversitas Cokroaminoto Makassar1
Nurfitriani NurfitrianiUniversitas Cokroaminoto Makassar1
Achmad Yasir BaedaAffiliation unknown1
Chairul PaotonanAffiliation unknown1
Sabaruddin RahmanAffiliation unknown1
Hasdinar UmarAffiliation unknown1
Muhammad AksarKementerian Pariwisata1
Muhammad Arsyad ThahaAffiliation unknown1
Wasir SamadAffiliation unknown1
Achmad Yasir BaedaHasanuddin University1
Chairul PaotonanHasanuddin University1
Sabaruddin RahmanHasanuddin University1
Hasdinar UmarHasanuddin University1
M A ThahaHasanuddin University1
Sry Swarni Abu BakarAffiliation unknown1
Arniati ArniatiAffiliation unknown1
Abdul HarisHasanuddin University1
Syafiuddin SyafiuddinHasanuddin University1
Edwin JefriAffiliation unknown1
Sakka SakkaHasanuddin University1
Alimuddin Hamzah AssegafAffiliation unknown1
Rastina RastinaHasanuddin University1
Supriadi MashorengHasanuddin University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jiks/oai, first harvested 4 Nov 2026, last seen 4 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">ANALYSIS OF PHYSICO–CHEMICAL PARAMETERS ON PHYTOPLANKTON ABUNDANCE IN THE WATERS OF LABAKKANG DISTRICT, PANGKEP REGENCY</dc:title>
	<dc:creator xml:lang="en">Niartiningsih, Andi</dc:creator>
	<dc:creator xml:lang="en">Nawing, Nur Afifa </dc:creator>
	<dc:creator xml:lang="en">Samad, Wasir </dc:creator>
	<dc:creator xml:lang="en">Yasir, Inayah</dc:creator>
	<dc:creator xml:lang="en">Tambaru, Rahmadi </dc:creator>
	<dc:subject xml:lang="en">-</dc:subject>
	<dc:description xml:lang="en">Pangkep Regency is dominated by pond areas, one of which is located in Labakkang District. These aquaculture activities affect physico-chemical parameters in the waters. This study was aimed to analyze the influence and relationship of physico-chemical parameters on phytoplankton abundance in the waters of Labakkang District, Pangkep Regency. Data were collected using purposive sampling method in several locations, namely waters around river mouths, waters around mangroves, pond discharge waters and waters around docks. The physico-chemical parameters observed include temperature, salinity, nitrate, phosphate, Total Suspended Solid (TSS), carbon dioxide and current velocity. The results showed that the highest phytoplankton abundance was found in the waters around the river mouth with a value of 741 cells/L, while the lowest abundance was found in the pond discharge waters with a value of 154 cells/L. At the station, the highest values were obtained in the temperature parameter of 32,67ºC, nitrate of 0,03 mg/L, phosphate of 0,08 mg/L, TSS of 25,26 mg/L and current speed of 0,25 m/s. The high abundance of phytoplankton is inversely proportional to the salinity level in the water, which is 29%ₒ. The results of the analysis using the one-way ANOVA statistical test showed significant differences in phytoplankton abundance as well as temperature, salinity and TSS parameters between sampling stations. Then multiple regression analysis showed that the most influential parameters on phytoplankton abundance were temperature, nitrate, and TSS with a coefficient of determination of 92,8%. The results of this study can serve as a basis for more effective water management and better environmental monitoring in the context of aquaculture activities in the region.
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	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-06-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.unhas.ac.id/index.php/jiks/article/view/30100</dc:identifier>
	<dc:identifier>10.20956/jiks.v10i1.30100</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ilmu Kelautan SPERMONDE; VOLUME 10 NUMBER 1, 2024; 23-29</dc:source>
	<dc:source>2614-5049</dc:source>
	<dc:source>2460-0156</dc:source>
	<dc:source>10.20956/jiks.v10i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jiks/article/view/30100/11630</dc:relation>
	<dc:coverage xml:lang="en">-</dc:coverage>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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