Melola Discovery

← Melola Discovery

Journal

ANALISIS SEBARAN AREA KOMODITAS UNGGULAN PERTANIAN TANAMAN PANGAN DI KABUPATEN BREBES

Geo-Image Journal · Vol. 6 No. 1 (2017) · pp. 1–7

DOI
10.15294/geoimage.v6i1.15239
ISSN
2549-0362, 2252-6285
Published
2017-07-10
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The aims of this research are:1) Knowing commodity comparatively superior and competitive, 2) Knowing the rate of growth in the popularity of food crops, 3) Knowing what are the priority commodities and 4) Knowing the spatial distribution superior commodities. The sampling technique purposive sampling. The primary data obtained directly from the farmer to the instrument in the form of a questionnaire. Secondary data were obtained from the agency the Central Bureau of Statistics and the Department of Agriculture and Horticulture. The results showed that: paddy rice field comparatively superior based on analysis Location Quetient (LQ) with the most extensive distribution area, covering 10 districts. Commodities superior competitive basis based on the analysis of Revenue Cost (R/C) with the highest grade in the class of food crops are green beans. The growth rate of the region based on the analysis of the Shift Share (component proportional shift and differential share) is positive in District Tonjong. Commodities are prioritized to be developed is a commodity that includes a first priority, the paddy rice, dry rice, maize, cassava, sweet potato and peanut spread over 10 districts.

Collaboration network of the authors

40 authors · 141 co-authorship links · showing the 40 most connected

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

  • University of Brawijaya
  • State University of Semarang
  • Hasanuddin University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Erni SuhariniAffiliation unknown8
Eva BanowatiAffiliation unknown7
Saptono PutroUniversity of Brawijaya6
Dewi Liesnoor SetyowatiState University of Semarang5
Puji HardatiAffiliation unknown5
Muhammad Mutawalli MukhlisAffiliation unknown4
Ariyani IndrayatiAffiliation unknown4
Ananto AjiAffiliation unknown4
Sriyono SriyonoAffiliation unknown3
Muhammad Saleh TajuddinAffiliation unknown3
Suroso SurosoAffiliation unknown2
Andi Irwan BenardiAffiliation unknown2
Maskun MaskunHasanuddin University2
Mabarroh AzizahAffiliation unknown2
Daud RismanaAffiliation unknown2
Aprillia FindayaniAffiliation unknown2
Herlambang Fadlan SejatiAffiliation unknown1
Puneet IyerAffiliation unknown1
Juhadi JuhadiAffiliation unknown1
Afkar Jihad Al-afghani AfkarAffiliation unknown1
Apik Budi SantosoAffiliation unknown1
India Salsabila Zahra AshifaAffiliation unknown1
Edi KurniawanAffiliation unknown1
Risma MartiyaniAffiliation unknown1
Muh. SholehAffiliation unknown1
Bella Zulfia Aisyatul WahidahAffiliation unknown1
Muhamad FadliAffiliation unknown1
R SugiyantoAffiliation unknown1
tahmid fitriantoAffiliation unknown1
Agus ArifinAffiliation unknown1
Tukidi TukidiAffiliation unknown1
Moch. ArifienAffiliation unknown1
Fajar RianawatiAffiliation unknown1
Nurdianto NurdiantoAffiliation unknown1
Dewi Liesnoor SetyawatiAffiliation unknown1
Sudharmono SudharmonoAffiliation unknown1
Dedy Hendra PrastiaAffiliation 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://journal.unnes.ac.id/sju/index.php/geoimage/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">ANALISIS SEBARAN AREA KOMODITAS UNGGULAN PERTANIAN TANAMAN PANGAN DI KABUPATEN BREBES</dc:title>
	<dc:creator>Darmawan, Ariyanto</dc:creator>
	<dc:creator>Hayati, Rahma</dc:creator>
	<dc:creator>Hariyanto, Hariyanto</dc:creator>
	<dc:description xml:lang="en-US">The aims of this research are:1) Knowing commodity comparatively superior and competitive, 2) Knowing the rate of growth in the popularity of food crops, 3) Knowing what are the priority commodities and 4) Knowing the spatial distribution superior commodities. The sampling technique purposive sampling. The primary data obtained directly from the farmer to the instrument in the form of a questionnaire. Secondary data were obtained from the agency the Central Bureau of Statistics and the Department of Agriculture and Horticulture. The results showed that: paddy rice field comparatively superior based on analysis Location Quetient (LQ) with the most extensive distribution area, covering 10 districts. Commodities superior competitive basis based on the analysis of Revenue Cost (R/C) with the highest grade in the class of food crops are green beans. The growth rate of the region based on the analysis of the Shift Share (component proportional shift and differential share) is positive in District Tonjong. Commodities are prioritized to be developed is a commodity that includes a first priority, the paddy rice, dry rice, maize, cassava, sweet potato and peanut spread over 10 districts.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-07-10</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://journal.unnes.ac.id/sju/geoimage/article/view/15239</dc:identifier>
	<dc:identifier>10.15294/geoimage.v6i1.15239</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 6 No 1 (2017); 1-7</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v6i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/15239/8246</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Geo-Image</dc:rights>
</oai_dc:dc>