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ESTIMATING SEASONAL PATTERNS OF FISHING FOR ANCHOVIES (Stolephorus Sp) LANDED AT PPI PAOTERE, MAKASSAR, SOUTH SULAWESI: AN APPROACH TO FISHING BUSINESS EFFICIENCY

Jurnal Ilmu Kelautan SPERMONDE · Vol. UME (2024) · pp. 35–39

DOI
10.20956/jiks.v10i2.30499
ISSN
2614-5049, 2460-0156
Published
2024-08-05
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The exploitation level of fish resources should be based on effectiveness, efficiency and business sustainability. One of the efforts to implement these three aspects is to understand the seasonal pattern or the best time to catch the fish target. The aim of this research was to estimate the pattern of the anchovy fishing season based on production data landed at PPI Paotere Makassar, South Sulawesi. Data is collected from the PPI and analyzed using the moving average techniques. Results showed that the seasonal pattern of anchovy fishing is estimated to increase in the transition season to the eastern season (IMP > 100%) and reach a peak in September (IMP = 134.74%). Descriptively, the fishing season, especially the peak season, was thought to occur because these fish are probably associated with optimum conditions for oceanographic parameters such as sea surface temperature, chlorophyll-a concentrations and surface current conditions. Information on anchovy fishing season patterns is really needed by marine fisheries managers, both government and private, in managing efforts to exploit fish resources wisely and sustainably.

Keywords

Collaboration network of the authors

40 authors · 95 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Muhammadiyah Kendari
  • Universitas Nahdlatul Ulama Kalimantan Timur
  • Universitas Muslim Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sitti Wahidah MasnaniAffiliation unknown4
Muhammad Anshar AmranAffiliation unknown4
Mujadilah nurAffiliation unknown3
KamaruddinUniversitas Muhammadiyah Kendari3
Andi AgussalimAffiliation unknown2
Amalia DzulqaidahAffiliation unknown2
Zuhriah ZuhriahAffiliation unknown2
Marzuki UkkasAffiliation unknown2
Mahatma LanuruAffiliation unknown2
Muhammad Banda SelamatAffiliation unknown2
Achmar MallawaAffiliation unknown2
Safruddin SafruddinAffiliation unknown2
Nur RahmahUniversitas Nahdlatul Ulama Kalimantan Timur1
Mukhtar MukhtarAffiliation unknown1
Safaruddin SafaruddinUniversitas Muslim Indonesia1
Arifuddin Mas'udAffiliation unknown1
Ilham RamadhanAffiliation unknown1
Muh. Fauzi IrwanAffiliation unknown1
Yusring Sanusi BasoAffiliation unknown1
MasnahAffiliation unknown1
Najiyah Nur Ismirah -Affiliation unknown1
ZuhriahAffiliation unknown1
Yulia Rahmah AmaliaAffiliation unknown1
Najamuddin NajamuddinAffiliation unknown1
Muhammad KurniaAffiliation unknown1
Mahfud PaloAffiliation unknown1
Andi MarimbaAffiliation unknown1
M HajarAffiliation unknown1
Haeriyyah HaeriyyahAffiliation unknown1
Haeruddin HaeruddinAffiliation unknown1
Indra MutiaraAffiliation unknown1
Nurul Fitri HayatiAffiliation unknown1
Muhammad SadikAffiliation unknown1
Rahmadi TambaruAffiliation unknown1
Wasir Samad DamingAffiliation unknown1
Inayah YasirAffiliation unknown1
Abdilah SalihinAffiliation unknown1

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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">ESTIMATING SEASONAL PATTERNS OF FISHING FOR ANCHOVIES (Stolephorus Sp) LANDED AT PPI PAOTERE, MAKASSAR, SOUTH SULAWESI: AN APPROACH TO FISHING BUSINESS EFFICIENCY</dc:title>
	<dc:creator xml:lang="en">Ridwan, Muhammad </dc:creator>
	<dc:creator xml:lang="en">Muhiddin, Amir Hamzah</dc:creator>
	<dc:creator xml:lang="en">Zainuddin, Mukti</dc:creator>
	<dc:subject xml:lang="en">IMP;</dc:subject>
	<dc:subject xml:lang="en">ikan teri;</dc:subject>
	<dc:subject xml:lang="en">musim penangkapan;</dc:subject>
	<dc:subject xml:lang="en">rata-rata bergerak;</dc:subject>
	<dc:subject xml:lang="en">parameter oseanografi</dc:subject>
	<dc:description xml:lang="en">The exploitation level of fish resources should be based on effectiveness, efficiency and business sustainability. One of the efforts to implement these three aspects is to understand the seasonal pattern or the best time to catch the fish target. The aim of this research was to estimate the pattern of the anchovy fishing season based on production data landed at PPI Paotere Makassar, South Sulawesi. Data is collected from the PPI and analyzed using the moving average techniques. Results showed that the seasonal pattern of anchovy fishing is estimated to increase in the transition season to the eastern season (IMP &amp;gt; 100%) and reach a peak in September (IMP = 134.74%). Descriptively, the fishing season, especially the peak season, was thought to occur because these fish are probably associated with optimum conditions for oceanographic parameters such as sea surface temperature, chlorophyll-a concentrations and surface current conditions. Information on anchovy fishing season patterns is really needed by marine fisheries managers, both government and private, in managing efforts to exploit fish resources wisely and sustainably.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-08-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jiks/article/view/30499</dc:identifier>
	<dc:identifier>10.20956/jiks.v10i2.30499</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ilmu Kelautan SPERMONDE; VOLUME 10 NUMBER 2, 2024; 35-39</dc:source>
	<dc:source>2614-5049</dc:source>
	<dc:source>2460-0156</dc:source>
	<dc:source>10.20956/jiks.v10i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jiks/article/view/30499/11805</dc:relation>
	<dc:coverage xml:lang="en">Fish Remote sensing for Busines </dc:coverage>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>