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ESTIMATION MODEL OF POTATO FARMING PRODUCTION FUNCTION IN KERINCI REGENCY, JAMBI PROVINCE INDONESIA

JALOW | Journal of Agribusiness and Local Wisdom · Vol. 8 No. 1 (2025) · pp. 41–49

DOI
10.22437/jalow.v8i1.45855
ISSN
2621-1300, 2621-1297
Published
2025-01-06
Publisher
Program Studi Agribisnis bekerja sama dengan PERHEPI
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

This study aims to estimate the model of potato farming production function in Kerinci Regency, Jambi Province. The estimation of the production function model uses the Cobb-Douglas production function model, the transcendental production function model, and the log-log inversion production function model. The best production function model of the analysis that is able to explain the physical relationship between inputs and potato farming output is the Cobb-Douglas production function model with the value of the determination coefficient adj-R2 = 0.8566 [85.66 %] for granola and for cipanas varieties the determination coefficient adj-R2 = 0.8972 [89.72 %]. The Cobb-Douglas production function model was chosen as the best function because it showed a high adj-R2 value and a t-test of each significant predictor variable. The estimation of the production function model of the Cipanas potato farming function is only a Cobb-Douglas production function model that is able to explain the logical, factual and theoretically acceptable technical relationship to explain the influence of production inputs on production. The sum of all input parameters for granola potato farming production was obtained ∑βi = 0.9689.< 1. Indicates that granola potato farming is in area I (Decreasing Return to Scale). In the cultivation of cipanas potato varieties, ∑βi = 0.9669 < 1. It indicates that the cultivation of cipanas potato varieties is in area II (decreasing Return to Scale). The technical efficiency of both potato varieties is relatively low, which means there is still great potential for increased productivity.

Keywords

Collaboration network of the authors

40 authors · 94 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Saad MurdyAffiliation unknown6
Ira WahyuniAffiliation unknown6
Suandi SuandiAffiliation unknown4
Yanuar FitriAffiliation unknown4
Yusma DamayantiAffiliation unknown3
Adlaida MalikAffiliation unknown2
Aulia FaridaAffiliation unknown2
Ardhiyan SaputraAffiliation unknown2
Armen MaraAffiliation unknown2
Apriliana AprilianaAffiliation unknown2
Zulkifli AlamsyahAffiliation unknown2
Dompak NapitupuluAffiliation unknown2
Mirawati YanitaAffiliation unknown2
Nadia SafitriAffiliation unknown2
Rosa MayshintaAffiliation unknown2
Yulismi YulismiAffiliation unknown2
Deny OscarAffiliation unknown1
Siti KurniasihAffiliation unknown1
Zahra Aisyah AbelAffiliation unknown1
Riri Oktari UlmaAffiliation unknown1
Sukris NopiAffiliation unknown1
Damel Fink LybawsAffiliation unknown1
Nancy Irawaty SianturiAffiliation unknown1
Ebi FebriansyahAffiliation unknown1
Siska YumanitaAffiliation unknown1
Fenny Febiola SilalahiAffiliation unknown1
vidiya tamaraAffiliation unknown1
Inez AlmiraAffiliation unknown1
Elwamendri ElwamendriAffiliation unknown1
Halisa ArnadiaAffiliation unknown1
fitra yusafriyaniAffiliation unknown1
Windi OliviandariAffiliation unknown1
Agustynus PratamaAffiliation unknown1
Adinda Inayah SalwaAffiliation unknown1
Rachel SaragihAffiliation unknown1
Marlina VeniAffiliation unknown1
Firli Anistia SariAffiliation 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://online-journal.unja.ac.id/index.php/JALOW/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">ESTIMATION MODEL OF POTATO FARMING PRODUCTION FUNCTION IN KERINCI REGENCY, JAMBI PROVINCE INDONESIA</dc:title>
	<dc:creator xml:lang="en">Nainggolan, Saidin</dc:creator>
	<dc:creator xml:lang="en">Effran, Endy</dc:creator>
	<dc:creator xml:lang="en">Fathoni, Zakky</dc:creator>
	<dc:subject xml:lang="en">estimation model</dc:subject>
	<dc:subject xml:lang="en">Production</dc:subject>
	<dc:subject xml:lang="en">function</dc:subject>
	<dc:subject xml:lang="en">potatoes farming</dc:subject>
	<dc:description xml:lang="en">This study aims to estimate the model of potato farming production function in Kerinci Regency, Jambi Province. The estimation of the production function model uses the Cobb-Douglas production function model,&amp;nbsp; the transcendental production function model, and the log-log inversion production function model. The best production function model of the analysis that is able to explain the physical relationship between inputs and potato farming output is the Cobb-Douglas&amp;nbsp; production function model with the value of the determination coefficient adj-R2 = 0.8566 [85.66 %] for granola and for cipanas varieties the&amp;nbsp; determination coefficient adj-R2 = 0.8972 [89.72 %] . The Cobb-Douglas&amp;nbsp; production function model was chosen as the best function because it showed a high adj-R2 value and a t-test of each significant predictor variable.&amp;nbsp; The estimation of the production function model of&amp;nbsp; the Cipanas potato farming function is only a Cobb-Douglas&amp;nbsp; production function model that is able to explain the logical, factual and theoretically acceptable technical relationship to explain the influence of production inputs on production. The sum of all input parameters&amp;nbsp; for granola &amp;nbsp;&amp;nbsp;potato farming production was obtained ∑βi = 0.9689.&amp;lt; 1. Indicates&amp;nbsp; that granola potato farming&amp;nbsp; is in area I (Decreasing Return to Scale). In the cultivation of cipanas potato varieties,&amp;nbsp; ∑βi = 0.9669 &amp;lt; 1. It indicates&amp;nbsp; that the cultivation of cipanas&amp;nbsp;potato varieties&amp;nbsp; is in area II (decreasing Return to Scale). The technical efficiency of both potato varieties is relatively low, which means there is still great potential for increased productivity.
&amp;nbsp;</dc:description>
	<dc:publisher xml:lang="en">Program Studi Agribisnis bekerja sama dengan PERHEPI</dc:publisher>
	<dc:date>2025-01-06</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://online-journal.unja.ac.id/JALOW/article/view/45855</dc:identifier>
	<dc:identifier>10.22437/jalow.v8i1.45855</dc:identifier>
	<dc:source xml:lang="en">JALOW | Journal of Agribusiness and Local Wisdom; Vol. 8 No. 1 (2025): Journal of Agribusiness and Local Wisdom; 41-49</dc:source>
	<dc:source>2621-1300</dc:source>
	<dc:source>2621-1297</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JALOW/article/view/45855/21366</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Saidin Nainggolan; Endy Effran</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>