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Faktor-Faktor yang Mempengaruhi Produksi Usahatani Jeruk Manis Siam Madu (Citrus sinensis nobilis) di Desa Tanea Kecamatan Konda Kabupaten Konawe Selatan

Jurnal Ilmiah Membangun Desa dan Pertanian · Vol. 8 No. 3 (2023) · pp. 88–95

DOI
10.37149/jimdp.v8i3.79
ISSN
2527-2748
Published
2023-05-01
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 factors that influence the production of citrus farming in Tanea Village, Konda District, South Konawe Regency. The population in this study amounted to 30 heads of families (KK). This study determined the sample by census, i.e., the entire population was sampled. The variable used in this research is the characteristics of farmers, including the number of family members (persons), age (years), education level, number of family dependents, and citrus farming experience. Other variables affect production, including labor, plant age, number of trees, fertilizers, and pesticides. Analysis of the data used is multiple linear regression analysis. The results showed that the factors that influenced the production of sweet orange farming in Tanea Village were the number of trees and the age of the plant. Both factors had a positive and significant effect on increasing the production of sweet oranges. Increasing the number of trees by 1% will increase the production of sweet oranges by 1,072 kg/ha. Adding 1% plant age will be followed by an increase in lovely orange output of 1,140 kg/ha. Adding and reducing the number of workers by 1% does not affect the production produced by sweet orange farmers. Adding or decreasing 1% of fertilizer cannot affect the sweet oranges produced. Adding and reducing the amount of 1% pesticide does not affect the resulting production. The average output of sweet oranges in Tanea Village is 1,945 kg/harvest season, with the highest show being 12000 kg and the lowest being 100 kg.

Keywords

Collaboration network of the authors

40 authors · 125 co-authorship links · 5 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.

  • Universitas Halu Oleo
  • Universitas Jember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
La Ode AlwiUniversitas Halu Oleo12
Muhammad Aswar LimiUniversitas Halu Oleo4
Awaluddin HamzahUniversitas Halu Oleo3
Abdi AbdiUniversitas Halu Oleo3
Munirwan ZaniUniversitas Halu Oleo3
La Ode Kasno ArifUniversitas Halu Oleo3
La Ode GeoAffiliation unknown3
Abdi AbdiAffiliation unknown3
Anas NikoyanAffiliation unknown2
Hadi SudarmoAffiliation unknown2
La Ode Arfan DeduUniversitas Halu Oleo2
Hadi SudarmoUniversitas Halu Oleo2
Laode GeoAffiliation unknown2
Muhammad DzulmawanAffiliation unknown2
La Nalefo La NalefoUniversitas Halu Oleo1
Grace Onela KambunoUniversitas Halu Oleo1
La Ode KimonAffiliation unknown1
Sahindomi BanaUniversitas Halu Oleo1
La GandriUniversitas Halu Oleo1
Lies IndriyaniUniversitas Halu Oleo1
Vivi FitrianiUniversitas Jember1
Wa Kuasa BakaAffiliation unknown1
Irfan IdoUniversitas Halu Oleo1
La Ode RustamUniversitas Halu Oleo1
Tresjia Corina RakianUniversitas Halu Oleo1
Hamirul HadiniUniversitas Halu Oleo1
Zulfikar ZulfikarUniversitas Halu Oleo1
Resman ResmanUniversitas Halu Oleo1
Idrus SalamUniversitas Halu Oleo1
Andi NurmasUniversitas Halu Oleo1
MUSLIMAH MUSLIMAHAffiliation unknown1
AGUNG YUSWANAAffiliation unknown1
ROBIATUL ADAWIYAHAffiliation unknown1
La Ode Santiaji BandeUniversitas Halu Oleo1
TERRY PAKKIUniversitas Halu Oleo1
LA ODE WALIUniversitas Halu Oleo1
Andi KhaeruniUniversitas Halu Oleo1

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 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Faktor-Faktor yang Mempengaruhi Produksi Usahatani  Jeruk Manis Siam Madu (Citrus sinensis nobilis) di Desa Tanea Kecamatan Konda Kabupaten Konawe Selatan</dc:title>
	<dc:creator>Setiadi, Aan</dc:creator>
	<dc:creator>Gafaruddin, Abdul</dc:creator>
	<dc:creator>Slamet, Agustono</dc:creator>
	<dc:subject xml:lang="en-US">production</dc:subject>
	<dc:subject xml:lang="en-US">production factor</dc:subject>
	<dc:subject xml:lang="en-US">sweet orange</dc:subject>
	<dc:description xml:lang="en-US">This study aims to determine the factors that influence the production of citrus farming in Tanea Village, Konda District, South Konawe Regency. The population in this study amounted to 30 heads of families (KK). This study determined the sample by census, i.e., the entire population was sampled. The variable used in this research is the characteristics of farmers, including the number of family members (persons), age (years), education level, number of family dependents, and citrus farming experience. Other variables affect production, including labor, plant age, number of trees, fertilizers, and pesticides. Analysis of the data used is multiple linear regression analysis. The results showed that the factors that influenced the production of sweet orange farming in Tanea Village were the number of trees and the age of the plant. Both factors had a positive and significant effect on increasing the production of sweet oranges. Increasing the number of trees by 1% will increase the production of sweet oranges by 1,072 kg/ha. Adding 1% plant age will be followed by an increase in lovely orange output of 1,140 kg/ha. Adding and reducing the number of workers by 1% does not affect the production produced by sweet orange farmers. Adding or decreasing 1% of fertilizer cannot affect the sweet oranges produced. Adding and reducing the amount of 1% pesticide does not affect the resulting production. The average output of sweet oranges in Tanea Village is 1,945 kg/harvest season, with the highest show being 12000 kg and the lowest being 100 kg.</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>2023-05-01</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/79</dc:identifier>
	<dc:identifier>10.37149/jimdp.v8i3.79</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmiah Membangun Desa dan Pertanian; Vol. 8 No. 3 (2023); 88 - 95</dc:source>
	<dc:source>2527-2748</dc:source>
	<dc:source>10.37149/jimdp.v8i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.agribisnis.uho.ac.id/index.php/JIMDP/article/view/79/49</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Aan Setiadi, Abdul Gafaruddin, Agustono Slamet</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>