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Analisis Kesesuaian Lahan Untuk Pengembangan Kopi Robusta dengan Pendekatan Parametrik Terbaru: Land Suitability Analysis for Robusta Coffee Development with The Latest Parametric Approach

Jurnal Ecosolum · Vol. 9 No. 2 (2021) · pp. 74–82

DOI
10.20956/ecosolum.v9i2.12391
ISSN
2654-430X, 2252-7923
Published
2021-01-28
Publisher
Universitas Hasanuddin
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Coffee is one of the mainstay of plantation commodities that has a significant contribution to the Indonesian economy, namely as a source of export foreign exchange, a source of income for farmers, a producer of industrial raw materials and job creation. The high public interest in coffee drinks has made the existence of coffee plants a highly competitive plant, so that land suitability for coffee plants needs to be done. The method used in the coffee land suitability analysis is based on square root and ridha (the latest parametric approach). The results showed that the land suitability class using the square root method was N1 at all observation points of the soil profile. There are limiting factors for soil depth and pH of H2O (profiles 1, 2, 3, 4, 5 and 6) and salinity (profiles 1, 2 and 3) in Robusta coffee, while the land suitability class obtained using the Rabia method is the profile observation point. 2 and 3 are classified into N1 (not suitable at this time) with limiting factors for soil depth, pH H2O and salinity, while at the observation point profiles 1, 4, 5 and 6 on Robusta coffee are classified into S3 (according to marginal) with limiting factors. Soil physical characteristics (soil depth and pH H2O).

Keywords

Collaboration network of the authors

32 authors · 214 co-authorship links · 16 across different organisations

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

  • Hasanuddin University
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Husnul MubarakHasanuddin University1
Erwin WijayaAffiliation unknown1
Emmy FadhilaHasanuddin University1
Nurmaranti AlimAffiliation unknown1
Muh. JayadiAffiliation unknown1
Hesti WulansariAffiliation unknown1
Mutmainna MutmainnaHasanuddin University1
Rahmawati RahmawatiInstitut Agama Islam Negeri Kendari1
Idul IdulHasanuddin University1
Muh. JayadiAffiliation unknown1
Istiqama Maulidina AnnisaAffiliation unknown1
Adiet Nurholis Al GaniHasanuddin University1
Asmita AhmadHasanuddin University1
Zulkarnain ChairuddinHasanuddin University1
Sartika LabanHasanuddin University1
Ahmad Fauzan AdzimaHasanuddin University1
Risky NurhikmayaniHasanuddin University1
Muh. AnsarHasanuddin University1
Magfirah DjamaluddinHasanuddin University1
Ahmad SetiadiHasanuddin University1
S SulfadliHasanuddin University1
Maksum MadjidiHasanuddin University1
Balqis Nur AisyahHasanuddin University1
Nova Tries ArdaniHasanuddin University1
Katriani MantjaHasanuddin University1
Ifayanti RidwanHasanuddin University1
Cri Wahyuni Brahmi YantiHasanuddin University1
Tigin DariatiHasanuddin University1
Hari IswoyoHasanuddin University1
Rahmansyah DermawanHasanuddin University1
Nurfaida NurfaidaHasanuddin University1

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.unhas.ac.id/index.php/ecosolum/oai, first harvested 2 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Analisis Kesesuaian Lahan Untuk Pengembangan Kopi Robusta dengan Pendekatan Parametrik Terbaru: Land Suitability Analysis for Robusta Coffee Development with The Latest Parametric Approach</dc:title>
	<dc:creator xml:lang="en">Juita, Nirmala</dc:creator>
	<dc:subject xml:lang="en">Coffee</dc:subject>
	<dc:subject xml:lang="en">robusta</dc:subject>
	<dc:subject xml:lang="en">parametric approach</dc:subject>
	<dc:subject xml:lang="en">bantaeng</dc:subject>
	<dc:subject xml:lang="en">Ridha</dc:subject>
	<dc:subject xml:lang="en">parametric</dc:subject>
	<dc:description xml:lang="en">Coffee is one of the mainstay of plantation commodities that has a significant contribution to the Indonesian economy, namely as a source of export foreign exchange, a source of income for farmers, a producer of industrial raw materials and job creation. The high public interest in coffee drinks has made the existence of coffee plants a highly competitive plant, so that land suitability for coffee plants needs to be done. The method used in the coffee land suitability analysis is based on square root and ridha (the latest parametric approach). The results showed that the land suitability class using the square root method was N1 at all observation points of the soil profile. There are limiting factors for soil depth and pH of H2O (profiles 1, 2, 3, 4, 5 and 6) and salinity (profiles 1, 2 and 3) in Robusta coffee, while the land suitability class obtained using the Rabia method is the profile observation point. 2 and 3 are classified into N1 (not suitable at this time) with limiting factors for soil depth, pH H2O and salinity, while at the observation point profiles 1, 4, 5 and 6 on Robusta coffee are classified into S3 (according to marginal) with limiting factors. Soil physical characteristics (soil depth and pH H2O).</dc:description>
	<dc:publisher xml:lang="en">Universitas Hasanuddin</dc:publisher>
	<dc:date>2021-01-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ecosolum/article/view/12391</dc:identifier>
	<dc:identifier>10.20956/ecosolum.v9i2.12391</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ecosolum; Vol. 9 No. 2 (2020): DESEMBER; 74-82</dc:source>
	<dc:source>2654-430X</dc:source>
	<dc:source>2252-7923</dc:source>
	<dc:source>10.20956/ecosolum.v9i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ecosolum/article/view/12391/6455</dc:relation>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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