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CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI KOPI PAGARALAM

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 15 No. 1 (2021) · pp. 179–192

DOI
10.30598/barekengvol15iss1pp179-192
ISSN
2615-3017, 1978-7227
Published
2021-03-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Pagaralam is one of the coffee-producing districts in South Sumatra (Sum-Sel). Pagaralam coffee farming is a hereditary business, where the majority of land processing is still traditional. This is related to working capital and farmers' income. This study aims to analyze the factors that affect the income of Pagaralam coffee farmers by using correspondence analysis. There are 30 variables or factors studied. Each variable is divided into several categories. The categories of each variable are described graphically with the categories of income variable. Primary data were obtained from 196 respondents who were selected based on purposive sampling technique. There are 13 factors that affect the income of respondents, namely: number of dependents, number of trees, age of the trees, number of female workers from outside the family, frequency of fertilization, frequency of herbicide application, production of harvest, production outside of harvest, gross income, minimum price of coffee beans, the maximum price of coffee beans, economic status and land productivity. There are 8 of the 13 factors that predominantly characterize the profile of net income level of Pagaralam coffee farmers. In general, the factor that must be considered in coffee farming is land productivity which is also related to production costs in land processing and crop production, as well as external factors regarding the market price of coffee.

Collaboration network of the authors

20 authors · 60 co-authorship links · 12 across different organisations

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

  • Sriwijaya University
  • Padjadjaran University
  • Politeknik Negeri Lhokseumawe
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sri Indra MaiyantiSriwijaya University8
Anita DesianiSriwijaya University5
Fitri Maya PuspitaSriwijaya University3
Indrawati - IndrawatiAffiliation unknown2
Sugandi YahdinSriwijaya University2
Siddiq MakhalliSriwijaya University2
Bambang SuprihatinSriwijaya University2
Yuli AndrianiPadjadjaran University1
Rifkie PrimarthaSriwijaya University1
Muhammad ArhamiPoliteknik Negeri Lhokseumawe1
Dwi FitriantiSriwijaya University1
Henny Nur SyafitriSriwijaya University1
Indrawati IndrawatiSriwijaya University1
Rahayu Tamy AgustinSriwijaya University1
Annisa KartikasariAffiliation unknown1
Ferani Eva ZulviaAffiliation unknown1
Fitra Nur AzizahAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI KOPI PAGARALAM</dc:title>
	<dc:creator>Irmeilyana, Irmeilyana</dc:creator>
	<dc:creator>Ngudiantoro, Ngudiantoro</dc:creator>
	<dc:creator>Rodiah, Desty</dc:creator>
	<dc:description xml:lang="en-US">Pagaralam is one of the coffee-producing districts in South Sumatra (Sum-Sel). Pagaralam coffee farming is a hereditary business, where the majority of land processing is still traditional. This is related to working capital and farmers' income. This study aims to analyze the factors that affect the income of Pagaralam coffee farmers by using correspondence analysis. There are 30 variables or factors studied. Each variable is divided into several categories. The categories of each variable are described graphically with the categories of income variable. Primary data were obtained from 196 respondents who were selected based on purposive sampling technique. There are 13 factors that affect the income of respondents, namely: number of dependents, number of trees, age of the trees, number of female workers from outside the family, frequency of fertilization, frequency of herbicide application, production of harvest, production outside of harvest, gross income, minimum price of coffee beans, the maximum price of coffee beans, economic status and land productivity. There are 8 of the 13 factors that predominantly characterize the profile of net income level of Pagaralam coffee farmers. &amp;nbsp;In general, the factor that must be considered in coffee farming is land productivity which is also related to production costs in land processing and crop production, as well as external factors regarding the market price of coffee.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2021-03-01</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3219</dc:identifier>
	<dc:identifier>10.30598/barekengvol15iss1pp179-192</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 179-192</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol15iss1year2021</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3219/2708</dc:relation>
</oai_dc:dc>