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Development of Land Suitability Assessment Applications for Sorghum, Sweet Potato and Sugarcane

Journal of Smart Agriculture and Environmental Technology · Vol. 2 No. 2 (2024) · pp. 61–66

DOI
10.60105/josaet.2024.2.2.61-66
ISSN
3021-8802
Published
2024-08-10
Publisher
Institut Teknologi Sumatera

Abstract

Cultivation of food crops should be done on suitable land based on the results of the soil suitability assessment. The Soil Suitability Assessment Framework was initiated by the Food and Agriculture Organization (FAO). Today, smartphones have become a ubiquitous technology for solving problems in most environments, including: Assessment of soil suitability for food crops, plantations and many others. This white paper aims to address these benefits by transforming the framework into a mobile app. This solution aims to help land users conduct land valuations more effectively and efficiently. A rule-based system (RBS) algorithm is used to build the framework into a set of rules that are interconnected to draw land suitability conclusions. Regulations relate to annual rainfall, land topography, drainage, soil type, pH, flood risk, soil fertility, soil depth, etc. Only three of his food crops, sorghum, sweet potato, and sugarcane, will be evaluated in this study. Agroclimatic data governing crop suitability have evolved into generic and crop-specific criteria. An application that assesses land suitability for three food crops will be available on the Play Store for smartphones. Usability models were surveyed by 35 respondents who used the app. The user-friendliness of the app was evaluated as "very good."

Collaboration network of the authors

40 authors · 290 co-authorship links · showing the 40 most connected

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  • Universitas Sembilanbelas November Kolaka
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Neni MarlinaAffiliation unknown6
Dina BadriahAffiliation unknown6
Asvic HelidaAffiliation unknown4
Dian SulistyaniAffiliation unknown4
- FitrianiAffiliation unknown3
Raden Iin Siti AminahAffiliation unknown3
Mustopa Marli BatubaraAffiliation unknown3
Ade MurtadoAffiliation unknown3
Rahmad BasukiAffiliation unknown3
Yudha ElfamaAffiliation unknown3
RositaAffiliation unknown3
Anita NataliaAffiliation unknown3
Muhammad YusupAffiliation unknown3
LucyanaAffiliation unknown3
Ari SaputraAffiliation unknown3
Eka Yuliana FitrianiAffiliation unknown3
Herlianto SapsidiAffiliation unknown3
Deddy PermanaAffiliation unknown3
NoviyadiAffiliation unknown3
Andi FebriansaAffiliation unknown3
MukhlisAffiliation unknown3
Oka MarisAffiliation unknown3
MarwaniAffiliation unknown3
Nia FitriaAffiliation unknown3
Maulana YusufAffiliation unknown2
Ardiyan SaptawanAffiliation unknown2
Syafrul YunardyAffiliation unknown2
Momon Sodik ImanudinAffiliation unknown2
lucyana lucyanaUniversitas Sembilanbelas November Kolaka1
Alhanannasir AlhanannasirAffiliation unknown1
Nico Syah PutraAffiliation unknown1
Tri WahyuniAffiliation 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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/3021-8802/works, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Development of Land Suitability Assessment Applications for Sorghum, Sweet Potato and Sugarcane</dc:title><dc:creator>Rahim, Supli</dc:creator><dc:creator>Muchsiri, Mukhtarudin</dc:creator><dc:creator>Supli, Ahmad Affandi</dc:creator><dc:creator>Damiri, Nurhayati</dc:creator><dc:creator>Supli, Nur Aslamiah</dc:creator><dc:creator>Aminah, Iin Siti</dc:creator><dc:creator>Djazuli, Abid</dc:creator><dc:creator>Rosmiah, Rosmiah</dc:creator><dc:description>&lt;jats:p&gt;Cultivation of food crops should be done on suitable land based on the results of the soil suitability assessment. The Soil Suitability Assessment Framework was initiated by the Food and Agriculture Organization (FAO). Today, smartphones have become a ubiquitous technology for solving problems in most environments, including: Assessment of soil suitability for food crops, plantations and many others. This white paper aims to address these benefits by transforming the framework into a mobile app. This solution aims to help land users conduct land valuations more effectively and efficiently. A rule-based system (RBS) algorithm is used to build the framework into a set of rules that are interconnected to draw land suitability conclusions. Regulations relate to annual rainfall, land topography, drainage, soil type, pH, flood risk, soil fertility, soil depth, etc. Only three of his food crops, sorghum, sweet potato, and sugarcane, will be evaluated in this study. Agroclimatic data governing crop suitability have evolved into generic and crop-specific criteria. An application that assesses land suitability for three food crops will be available on the Play Store for smartphones. Usability models were surveyed by 35 respondents who used the app. The user-friendliness of the app was evaluated as "very good."&lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatera</dc:publisher><dc:date>2024-08-10</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.60105/josaet.2024.2.2.61-66</dc:identifier><dc:identifier>10.60105/josaet.2024.2.2.61-66</dc:identifier><dc:source>Journal of Smart Agriculture and Environmental Technology; Vol 2 No 2 (2024); 61-66</dc:source><dc:source>3021-8802</dc:source><dc:relation>https://josaet.com/index.php/smartagrienvitech/article/download/52/29</dc:relation></oai_dc:dc>