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Faktor-Faktor yang Mempengaruhi Pendapatan pada Usaha Tani Jagung di Desa Daenaa Kecamatan Limboto Barat Kabupaten Gorontalo

Jurnal Ilmiah Membangun Desa dan Pertanian · Vol. 9 No. 6 (2024) · pp. 592–601

DOI
10.37149/jimdp.v9i6.1638
ISSN
2527-2748
Published
2024-12-31
Publisher
Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)
Language
eng
License
creativecommons.org/licenses/by-sa/4.0/

Abstract

This study aims to determine the effect of production factors on income in corn farming. This study falls within the descriptive quantitative approach category of survey research. Both primary and secondary data types are utilized. In order to get a sample of 51 corn farmers, the sampling technique employed is a systematic sampling of the population of 819 corn farmers. Multiple linear regression analysis is the data analysis method used. The findings revealed that According to a significant value of 0.000, the independent variables of land area, labor, seeds, fertilizer, pesticides, and agricultural machinery all have a tangible impact on the dependent variable of farmer income when taken together (simultaneously). Second, five independent variables have a genuine (significant) impact on the dependent income variable: land area, labor, seeds, fertilizer, and pesticides. In contrast, agricultural machinery has no influence (insignificant) on income. Third, the coefficient of determination (R2) of 0.823 indicates that the independent variables under investigation account for 82.3% of the revenue, while production factors unrelated to the dependent variables account for 17.7%.

Keywords

Collaboration network of the authors

11 authors · 16 co-authorship links

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Co-authorOrganisationJoint articles
Ramlan MustafaAffiliation unknown1
Novaldy I. NadiAffiliation unknown1
Merlin MohaAffiliation unknown1
St. Aisyah RAffiliation unknown1
Yuliana BakariAffiliation unknown1
Rayan SahariAffiliation unknown1
Supriyo ImranAffiliation unknown1
Tesa Amelia Putri IbrahimAffiliation 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.agribisnis.uho.ac.id/index.php/JIMDP/oai, first harvested 4 Nov 2026, last seen 4 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Faktor-Faktor yang Mempengaruhi Pendapatan  pada Usaha Tani Jagung di Desa Daenaa Kecamatan Limboto Barat  Kabupaten Gorontalo</dc:title>
	<dc:creator>Saleh, Afriyanto</dc:creator>
	<dc:creator>Halid, Amir</dc:creator>
	<dc:creator>Hippy, Mohammad Zubair</dc:creator>
	<dc:subject xml:lang="en-US">corn farming</dc:subject>
	<dc:subject xml:lang="en-US">income</dc:subject>
	<dc:subject xml:lang="en-US">production factors</dc:subject>
	<dc:description xml:lang="en-US">This study aims to determine the effect of production factors on income in corn farming. This study falls within the descriptive quantitative approach category of survey research. Both primary and secondary data types are utilized. In order to get a sample of 51 corn farmers, the sampling technique employed is a systematic sampling of the population of 819 corn farmers. Multiple linear regression analysis is the data analysis method used. The findings revealed that According to a significant value of 0.000, the independent variables of land area, labor, seeds, fertilizer, pesticides, and agricultural machinery all have a tangible impact on the dependent variable of farmer income when taken together (simultaneously). Second, five independent variables have a genuine (significant) impact on the dependent income variable: land area, labor, seeds, fertilizer, and pesticides. In contrast, agricultural machinery has no influence (insignificant) on income. Third, the coefficient of determination (R2) of 0.823 indicates that the independent variables under investigation account for 82.3% of the revenue, while production factors unrelated to the dependent variables account for 17.7%.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Agribusiness, Halu Oleo University  Jointly with  Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)</dc:publisher>
	<dc:date>2024-12-31</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.agribisnis.uho.ac.id/index.php/JIMDP/article/view/1638</dc:identifier>
	<dc:identifier>10.37149/jimdp.v9i6.1638</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmiah Membangun Desa dan Pertanian; Vol. 9 No. 6 (2024); 592 - 601</dc:source>
	<dc:source>2527-2748</dc:source>
	<dc:source>10.37149/jimdp.v9i6</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.agribisnis.uho.ac.id/index.php/JIMDP/article/view/1638/322</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Afriyanto Saleh, Amir Halid, Mohammad Zubair Hippy</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
</oai_dc:dc>