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Purchase Decision of Fresh Fish at Paotere Fish Auction Place (TPI) during Covid-19 Pandemic, Makassar City

PONGGAWA : Journal of Fisheries Socio-Economic · Vol. UME No. MOR (2024) · pp. 79–91

DOI
10.35911/ponggawa.v4i2.21164
ISSN
2775-7196
Published
2024-12-26
Publisher
Program Studi Sosial Ekonomi Perikanan, Fakultas Ilmu Kelautan dan Perikanan, Universitas Hasanuddin
Language
en

Abstract

This study aims to determine the factors that influence fresh fish purchasing decisions and determine the characteristics of fresh fish consumers at TPI Paotere during the Covid-19 pandemic, Makassar City using the factor analysis method. This research was conducted at Paotere Fish Auction Place in Makassar City from March to April 2021. The sampling method uses nonprobability sampling technique with accidental sampling method with a sample size of 100 respondents. The data analysis used is factor analysis and the KMO and Barlett's Test. The results showed that there are 6 dominant factors consisting of 18 variables that influence the decision to buy fresh fish at TPI Paotere during the Covid-19 pandemic. The dominant factors influencing fresh fish purchase decisions at TPI Paotere during the Covid-19 pandemic consist of personal factors consisting of lifestyle variables, role and status in the family, price, social class standards, easy payment, and habits; Covid-19 pandemic factors consisting of supply variables during the pandemic, New Normal, and nutritional needs during the pandemic; location factors consisting of the largest fish market variables, fish quality, convenient location; and diversity of fish types, social environment factors consisting of family influence and friend influence variables; respondent characteristics factors consisting of age and occupation / position variables; and service factors consisting of service variables.

Keywords

Collaboration network of the authors

40 authors · 170 co-authorship links · 23 across different organisations · showing the 40 most connected

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

  • National Research and Innovation Agency
  • Universitas Muhammadiyah Prof Dr Hamka
  • Institut Teknologi dan Sains Mandala
  • Universitas Balikpapan
  • Sunan Gunung Djati State Islamic University Bandung
  • Indonesia Open University
  • Universitas Negeri Surabaya
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arie Syahruni CangaraAffiliation unknown16
Aris BasoAffiliation unknown15
Andi Adri AriefAffiliation unknown13
Sitti FakhriyyahAffiliation unknown12
Abdul WahidInstitut Teknologi dan Sains Mandala10
Hamzah TahangAffiliation unknown9
M. Chasyim HasaniAffiliation unknown9
Sutinah MadeAffiliation unknown7
Sri Suro AdhawatiAffiliation unknown6
Muhammad Dalvi MustafaAffiliation unknown6
Firman FirmanUniversitas Balikpapan6
Abd. WahidAffiliation unknown5
Kasri KasriAffiliation unknown4
Mardiana E. FachryAffiliation unknown4
Djumran YusufAffiliation unknown3
Rike Puspitasari TaminAffiliation unknown3
Iman SudrajatAffiliation unknown3
Chair RaniAffiliation unknown2
Fazriyas FazriyasAffiliation unknown2
Albayudi AlbayudiAffiliation unknown2
Riana AnggrainiAffiliation unknown2
Sri RahayuAffiliation unknown2
Rainiyati RainiyatiAffiliation unknown2
Deni HadianaNational Research and Innovation Agency1
Zulmi RamdaniSunan Gunung Djati State Islamic University Bandung1
Jaka WarsihnaIndonesia Open University1
W. WidodoUniversitas Negeri Surabaya1
Darwis ChandraIndonesia University of Education1
E. SopandiNational Research and Innovation Agency1
Achmad FahrudinAffiliation unknown1
Heffni EfendiAffiliation unknown1
Ismudi MuchsinAffiliation unknown1
Muhammad AnasAffiliation unknown1
Jamhir SafaniUniversitas Halu Oleo1
Wahyuni SyuhadaAffiliation 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/ponggawa/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Purchase Decision of Fresh Fish at Paotere Fish Auction Place (TPI) during Covid-19 Pandemic, Makassar City </dc:title>
	<dc:creator xml:lang="en">Aynun, Nur Citra</dc:creator>
	<dc:creator xml:lang="en">Amri, Andi</dc:creator>
	<dc:creator xml:lang="en">Gosari, Benny Audy Jaya</dc:creator>
	<dc:creator xml:lang="en">Amiluddin, Amiluddin</dc:creator>
	<dc:creator xml:lang="en">Hamzah, Hamzah</dc:creator>
	<dc:subject xml:lang="en">TPI Paotere</dc:subject>
	<dc:subject xml:lang="en">purchasing decision</dc:subject>
	<dc:subject xml:lang="en">fresh fish</dc:subject>
	<dc:subject xml:lang="en">covid-19 pandemic</dc:subject>
	<dc:description xml:lang="en">This study aims to determine the factors that influence fresh fish purchasing decisions and determine the characteristics of fresh fish consumers at TPI Paotere during the Covid-19 pandemic, Makassar City using the factor analysis method. This research was conducted at Paotere Fish Auction Place in Makassar City from March to April 2021. The sampling method uses nonprobability sampling technique with accidental sampling method with a sample size of 100 respondents. The data analysis used is factor analysis and the KMO and Barlett's Test. The results showed that there are 6 dominant factors consisting of 18 variables that influence the decision to buy fresh fish at TPI Paotere during the Covid-19 pandemic. The dominant factors influencing fresh fish purchase decisions at TPI Paotere during the Covid-19 pandemic consist of personal factors consisting of lifestyle variables, role and status in the family, price, social class standards, easy payment, and habits; Covid-19 pandemic factors consisting of supply variables during the pandemic, New Normal, and nutritional needs during the pandemic; location factors consisting of the largest fish market variables, fish quality, convenient location; and diversity of fish types, social environment factors consisting of family influence and friend influence variables; respondent characteristics factors consisting of age and occupation / position variables; and service factors consisting of service variables.</dc:description>
	<dc:publisher xml:lang="en">Program Studi Sosial Ekonomi Perikanan, Fakultas Ilmu Kelautan dan Perikanan, Universitas Hasanuddin </dc:publisher>
	<dc:date>2024-12-26</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>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ponggawa/article/view/21164</dc:identifier>
	<dc:identifier>10.35911/ponggawa.v4i2.21164</dc:identifier>
	<dc:source xml:lang="en">PONGGAWA : Journal of Fisheries Socio-Economic; VOLUME 4, NOMOR 2, NOVEMBER 2024; 79-91</dc:source>
	<dc:source>2775-7196</dc:source>
	<dc:source>10.35911/ponggawa.v4i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ponggawa/article/view/21164/12318</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 PONGGAWA : Journal of Fisheries Socio-Economic</dc:rights>
</oai_dc:dc>