DESICION SUPPORT SYSTEM OF LAND SUITABILITY FOR CORN SEED VARIETIES

Mulyana, Sri; Syahputra, Rizky Yurdan

doi:10.22146/ijccs.105285

Open access Jurnal SINTA 2

DESICION SUPPORT SYSTEM OF LAND SUITABILITY FOR CORN SEED VARIETIES

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 19 No. 3 (2025) · pp. 281–292

DOI: 10.22146/ijccs.105285
ISSN: 2460-7258, 1978-1520
Published: 2025-07-31
Publisher: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language: eng
License: creativecommons.org/licenses/by-sa/4.0

Abstract

Decision making in selecting suitable agricultural land is a key factor for the success of corn cultivation. The selection of agricultural land is still largely based on the experience of farmers, which lacks a strong analytical foundation, this can lead to a decrease in production as the evidenced in 2023, the dry corn kernel production decline by 12,5% compared to the previous year. This research develops a Decision Support System (DSS) to analyze land suitability for corn varieties by using the Analytical Hierarchy Process (AHP) method to calculate the priority weights of each evaluation criterion, and the Profile Matching (PM) method to rank agricultural. The research uses data from 22 sub-districts in Blitar Regency as alternatives and 5 types of corn varieties as ideal profiles. The ranking results of this research indicate that the best agricultural land for varieties V1, V2, V3, and V4 is in Sanankulon Sub-district, while for variety V5, it is in Doko Sub-district. The validity test results showed a “Strong” coefficient, and the reliability test yielded a Cronbach's alpha of 0.8019, indicating a "Good" level of consistency.

Keywords

Collaboration network of the authors

6 authors · 6 co-authorship links · 1 across different organisations

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Universitas Gadjah Mada
Malikussaleh University

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Same organisation
Affiliation unknown
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Co-author	Organisation	Joint articles
Dirja Nur Ilham	Universitas Gadjah Mada	1
Ilham Sahputra	Malikussaleh University	1
Moh Edi Wibowo	Universitas Gadjah Mada	1
Arie Kurniawan	Universitas Gadjah Mada	1

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">DESICION SUPPORT SYSTEM OF LAND SUITABILITY FOR CORN SEED VARIETIES</dc:title>
	<dc:creator>Mulyana, Sri</dc:creator>
	<dc:creator>Syahputra, Rizky Yurdan</dc:creator>
	<dc:subject xml:lang="en-US">Computer Science</dc:subject>
	<dc:subject xml:lang="en-US">Keywords — Decision Support System, Land Suitability, Analytical Hierarchy Process (AHP), Profile Matching</dc:subject>
	<dc:description xml:lang="en-US">Decision making in selecting suitable agricultural land is a key factor for the success of corn cultivation. The selection of agricultural land is still largely based on the experience of farmers, which lacks a strong analytical foundation, this can lead to a decrease in production as the evidenced in 2023, the dry corn kernel production decline by 12,5%  compared to the previous year. This research develops a Decision Support System (DSS) to analyze land suitability for corn varieties by using the Analytical Hierarchy Process (AHP) method to calculate the priority weights of each evaluation criterion, and the Profile Matching (PM) method to rank agricultural. The research uses data from 22 sub-districts in Blitar Regency as alternatives and 5 types of corn varieties as ideal profiles. The ranking results of this research indicate that the best agricultural land for varieties V1, V2, V3, and V4 is in Sanankulon Sub-district, while for variety V5, it is in Doko Sub-district. The validity test results showed a “Strong” coefficient, and the reliability test yielded a Cronbach's alpha of 0.8019, indicating a "Good" level of consistency.</dc:description>
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	<dc:date>2025-07-31</dc:date>
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	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 19, No 3 (2025): July; 281-292</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
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	<dc:rights xml:lang="en-US">Copyright (c) 2025 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
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