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Analisis Faktor-Faktor yang Mempengaruhi Pendapatan Usaha Tani Perkebunan Kopi Arabika di Distrik Welesi Kabupaten Jayawijaya

Jurnal Kajian Ekonomi dan Studi Pembangunan · Vol. 12 No. 3 (2025)

DOI
10.56076/jkesp.v12i3.5521
ISSN
2355-6323
Published
2025-12-05
Publisher
Universitas Cenderawasih
Language
eng
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

This study aims to examine and analyze the influence of price, total production, coffee processing technology, labor, capital, and land area on the income of Arabica coffee farmers in Welesi District, Jayawijaya Regency. This research employed a quantitative method with a survey approach. The population of this study was all coffee farmers in Welesi District totaling 100 people, and the sample was selected using probability sampling technique. Data were collected through questionnaires measured using a Likert scale and direct interviews. The data analysis methods used were classical assumption tests (normality, multicollinearity, and heteroscedasticity), multiple linear regression analysis, partial t-test, simultaneous F-test, and coefficient of determination R² test. The results showed that partially, price and total production variables had a positive and significant effect on coffee farmers' income at the 95 percent confidence level, while coffee processing technology, labor, and capital variables were only significant at the 90 percent confidence level. The land area variable had no significant effect on coffee farmers' income at both confidence levels. However, simultaneously, all six independent variables had a very significant effect on coffee farmers' income with a coefficient of determination value of 87.9 percent, while the remaining was influenced by other variables outside the research model. Keywords: Price, production, technology, labor, capital, land area, coffee farmers' income

Collaboration network of the authors

13 authors · 22 co-authorship links

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Co-authorOrganisationJoint articles
P. N. PatinggiAffiliation unknown3
Elsyan Rienette MarlissaAffiliation unknown2
Adeshard F. Irsan TaruhAffiliation unknown1
Devilia Lita PalumpunAffiliation unknown1
Delvie SumbungAffiliation unknown1
Antonia KlaraAffiliation unknown1
Very TikudatuAffiliation unknown1
Leondra FrendiAffiliation unknown1
La MagaAffiliation unknown1
Risky Novan NgutraAffiliation unknown1
Andreas AluaAffiliation 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://ejournal.uncen.ac.id/index.php/JKESP/oai, first harvested 1 Nov 2026, last seen 1 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Analisis Faktor-Faktor yang Mempengaruhi Pendapatan  Usaha Tani Perkebunan Kopi Arabika di Distrik Welesi Kabupaten Jayawijaya</dc:title>
	<dc:creator>La’lang, Semuel Pongmakamba’</dc:creator>
	<dc:creator>Umar, Hasan Basri</dc:creator>
	<dc:description xml:lang="en-US">This study aims to examine and analyze the influence of price, total production, coffee processing technology, labor, capital, and land area on the income of Arabica coffee farmers in Welesi District, Jayawijaya Regency. This research employed a quantitative method with a survey approach. The population of this study was all coffee farmers in Welesi District totaling 100 people, and the sample was selected using probability sampling technique. Data were collected through questionnaires measured using a Likert scale and direct interviews. The data analysis methods used were classical assumption tests (normality, multicollinearity, and heteroscedasticity), multiple linear regression analysis, partial t-test, simultaneous F-test, and coefficient of determination R² test. The results showed that partially, price and total production variables had a positive and significant effect on coffee farmers' income at the 95 percent confidence level, while coffee processing technology, labor, and capital variables were only significant at the 90 percent confidence level. The land area variable had no significant effect on coffee farmers' income at both confidence levels. However, simultaneously, all six independent variables had a very significant effect on coffee farmers' income with a coefficient of determination value of 87.9 percent, while the remaining was influenced by other variables outside the research model.
Keywords: Price, production, technology, labor, capital, land area, coffee farmers' income</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Cenderawasih</dc:publisher>
	<dc:date>2025-12-05</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-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.uncen.ac.id/index.php/JKESP/article/view/5521</dc:identifier>
	<dc:identifier>10.56076/jkesp.v12i3.5521</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol. 12 No. 3 (2025)</dc:source>
	<dc:source xml:lang="id-ID">Jurnal Kajian Ekonomi dan Studi Pembangunan; Vol 12 No 3 (2025)</dc:source>
	<dc:source>2355-6323</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.uncen.ac.id/index.php/JKESP/article/view/5521/3610</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Jurnal Kajian Ekonomi dan Studi Pembangunan</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>