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DSS for Selection of Coffee Plants against a Land Using ANP and Modification Of Profile Matching

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 13 No. 3 (2019) · pp. 241–250

DOI
10.22146/ijccs.46490
ISSN
2460-7258, 1978-1520
Published
2019-07-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Based on BPS data, the growth of plantation crop production in NTB Province in 2011 to 2016 was recorded to have decreased by an average of 3.3 thousand tons annually. Coffee plants in particular are 0.1 thousand tons on average, the lack of public interest in planting coffee properly on land owned so that it impacts on land use that is not in accordance with its potential which will result in decreased productivity and erosion of land quality [1]. The first study of land suitability analysis for coffee plantations used a matching method in robusta coffee with a matching method producing a class (S1) of 0,46% [2] the second using a matching method on robusta coffee producing a class (S1) of 0,015% [3] These results indicate the ability of each land is different so that the results of the analysis vary. This study applies the ANP method and modified matching profile where the level of recommendations of coffee plants on the ability of land in East Lombok Regency through validation based on coffee production data from the East Lombok District Agricultural Service produces a match in rank 1 of 87,5% and 75% with non-modified profile matching.

Keywords

Collaboration network of the authors

40 authors · 54 co-authorship links · 7 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 Gadjah Mada
  • Udayana University
  • Institut Teknologi dan Sains Mandala
  • Jenderal Soedirman University
  • Politeknik Gorontalo
  • Universitas Maritim Raja Ali Haji
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sri T. HartatiUniversitas Gadjah Mada6
Aina MusdholifahUniversitas Gadjah Mada4
Edi WinarkoUniversitas Gadjah Mada4
Khabib MustofaUniversitas Gadjah Mada4
Edhy SutantaUniversitas Gadjah Mada4
Agus HarjokoUniversitas Gadjah Mada2
Rahmat BudiarsaUniversitas Gadjah Mada2
Bangun WijayantoUniversitas Gadjah Mada1
Decky HendarsyahUniversitas Gadjah Mada1
Awaluddin AwaluddinAffiliation unknown1
Putri Elfa Mas’udiaAffiliation unknown1
Rina PramitasariUniversitas Gadjah Mada1
Albert Dian SanoAffiliation unknown1
Abdul WahidInstitut Teknologi dan Sains Mandala1
Nur HasanahAffiliation unknown1
Muhamad Munawar YusroJenderal Soedirman University1
Muhammad FakhrurrifqiAffiliation unknown1
Peggi Sri AstutiUdayana University1
Rahman EramaPoliteknik Gorontalo1
Christian Dwi SuhendraUniversitas Gadjah Mada1
Nola RithaUniversitas Maritim Raja Ali Haji1
Ria AstriratmaUniversitas Gadjah Mada1
Made Arya BudhiAffiliation unknown1
Elizabeth Paskahlia GunawanAffiliation unknown1
Ulfi Saidata AesyiAffiliation unknown1
Anny Kartika SariUniversitas Gadjah Mada1
Ida Bagus Gede SarasvanandaUdayana University1
Beta Yudha MahindartaUniversitas Gadjah Mada1
Dian MustikaningrumUniversitas Gadjah Mada1
Susilo RomadhonUniversitas Gadjah Mada1
Muhammad MukharirUniversitas Gadjah Mada1
Amelia Dita HandayaniUniversitas Gadjah Mada1
Nikolas Adhi PrasetyoUniversitas Gadjah Mada1
Susi Eva Maria PurbaUniversitas Gadjah Mada1
Kharis Suryandaru PratamaUniversitas Gadjah Mada1
Ahmad AshariUniversitas Gadjah Mada1
Bernard Renaldy SutejaAffiliation unknown1
Suryo GuritnoAffiliation 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.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">DSS for Selection of Coffee Plants against a Land Using ANP and Modification Of Profile Matching</dc:title>
	<dc:creator>Pratistha, Indra</dc:creator>
	<dc:creator>Wardoyo, Retantyo</dc:creator>
	<dc:subject xml:lang="en-US">Computer Science</dc:subject>
	<dc:subject xml:lang="en-US">Plants; Land; ANP; Profile Matching; Land Ability</dc:subject>
	<dc:description xml:lang="en-US">Based on BPS data, the growth of plantation crop production in NTB Province in 2011 to 2016 was recorded to have decreased by an average of 3.3 thousand tons annually. Coffee plants in particular are 0.1 thousand tons on average, the lack of public interest in planting coffee properly on land owned so that it impacts on land use that is not in accordance with its potential which will result in decreased productivity and erosion of land quality [1]. The first study of land suitability analysis for coffee plantations used a matching method in robusta coffee with a matching method producing a class (S1) of 0,46% [2] the second using a matching method on robusta coffee producing a class (S1) of 0,015% [3] These results indicate the ability of each land is different so that the results of the analysis vary. This study applies the ANP method and modified matching profile where the level of recommendations of coffee plants on the ability of land in East Lombok Regency through validation based on coffee production data from the East Lombok District Agricultural Service produces a match in rank 1 of 87,5% and 75% with non-modified profile matching.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">Universitas Gadjah Mada</dc:contributor>
	<dc:date>2019-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/46490</dc:identifier>
	<dc:identifier>10.22146/ijccs.46490</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 13, No 3 (2019): July; 241-250</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/46490/25082</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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