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PENGARUH ALIH GUNA LAHAN SAWAH KE NON SAWAH TERHADAP PERUBAHAN MATAPENCAHARIAN DAN ASET KELUARGADI KECAMATAN BAWEN

Geo-Image Journal · Vol. 5 No. 2 (2017) · pp. 1–7

DOI
10.15294/geoimage.v5i2.13558
ISSN
2549-0362, 2252-6285
Published
2017-03-17
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The purpose of this study to determine the rate of agricultural land use (fields) to non-agriculture (paddy), the factors that influence the transfer of land use and the effects of changes in livelihoods and assets of farm households. The technique of collecting data through observation, questionnaires, interviews and documentation. Data analysis techniques in this study was the rate of transfer order, regression and descriptive percentage. The analysis showed that the rate of transfer to Bawen highest in the district occurred in 2007, which amounted to 24.65% and decreased again by 10.99% in 2010. The rate of transfer to the village Samban that is equal to 7.90%, while use change rate in Sub Harjosari ie 9.83%. This is due to a large industrial development in the region. Factors that affect the transfer of land use is agricultural land, land prices, the influence of neighbors, and the influence of the private sector / investors. Change the livelihoods of farmers before mostly in the agricultural sector, but after the transfer to the livelihoods of farmers in the non-agricultural sector, changes in livelihood assets also increased by an additional assets such as vehicles, electronic goods and other owned by utilizing quotient of profit they receive.

Collaboration network of the authors

40 authors · 162 co-authorship links · showing the 40 most connected

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  • State University of Semarang
  • University of August 17, 1945 Banyuwangi
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Saptono PutroAffiliation unknown7
Dewi Liesnoor SetyowatiState University of Semarang7
Eva BanowatiAffiliation unknown6
Heri TjahjonoAffiliation unknown5
Moch. ArifienAffiliation unknown5
Ariyani IndrayatiAffiliation unknown4
Ananto AjiAffiliation unknown4
Sriyanto SriyantoAffiliation unknown3
Hariyanto HariyantoAffiliation unknown3
Satya Budi NugrahaAffiliation unknown3
Erni SuhariniAffiliation unknown3
Wahyu SetyaningsihAffiliation unknown3
Juhadi JuhadiAffiliation unknown3
Retno Salaras MahatiAffiliation unknown2
Rahma HayatiAffiliation unknown2
Vina Nurul HusnaAffiliation unknown2
Hairumini HairuminiAffiliation unknown2
Thriwaty ArsalAffiliation unknown2
Suroso SurosoAffiliation unknown2
Sunarko SunarkoUniversity of August 17, 1945 Banyuwangi2
Suwito Eko PramonoAffiliation unknown2
Andi Irwan BenardiAffiliation unknown1
Apik Budi SantosoAffiliation unknown1
Erin Dian WinarniAffiliation unknown1
Dwi JatmikoAffiliation unknown1
Ratna Dwi SetyowatiAffiliation unknown1
Niken NilapaksiAffiliation unknown1
Danang SarjonoAffiliation unknown1
Edi PranotoAffiliation unknown1
Kukuh IndartoAffiliation unknown1
Eko Adi SaputroAffiliation unknown1
Ika Yunita SariAffiliation unknown1
Putri Inmas PAffiliation unknown1
Adhitya NatakusumaAffiliation unknown1
Diyah WahyuningsihAffiliation unknown1
Evanita MaharaniAffiliation unknown1
Nurrahim Adhadina Eka PutriAffiliation 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 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">PENGARUH ALIH GUNA LAHAN SAWAH KE NON SAWAH TERHADAP PERUBAHAN MATAPENCAHARIAN DAN ASET KELUARGADI KECAMATAN BAWEN</dc:title>
	<dc:creator>Pitricia, Natalia</dc:creator>
	<dc:creator>Hardati, Puji</dc:creator>
	<dc:creator>Sanjoto, Tjaturahono Budi</dc:creator>
	<dc:description xml:lang="en-US">The purpose of this study to determine the rate of agricultural land use (fields) to non-agriculture (paddy), the factors that influence the transfer of land use and the effects of changes in livelihoods and assets of farm households. The technique of collecting data through observation, questionnaires, interviews and documentation. Data analysis techniques in this study was the rate of transfer order, regression and descriptive percentage. The analysis showed that the rate of transfer to Bawen highest in the district occurred in 2007, which amounted to 24.65% and decreased again by 10.99% in 2010. The rate of transfer to the village Samban that is equal to 7.90%, while use change rate in Sub Harjosari ie 9.83%. This is due to a large industrial development in the region. Factors that affect the transfer of land use is agricultural land, land prices, the influence of neighbors, and the influence of the private sector / investors. Change the livelihoods of farmers before mostly in the agricultural sector, but after the transfer to the livelihoods of farmers in the non-agricultural sector, changes in livelihood assets also increased by an additional assets such as vehicles, electronic goods and other owned by utilizing quotient of profit they receive.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-03-17</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/13558</dc:identifier>
	<dc:identifier>10.15294/geoimage.v5i2.13558</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 5 No 2 (2016); 1-7</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v5i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/13558/7426</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Geo-Image</dc:rights>
</oai_dc:dc>