Journal of Computer System and Informatics (JoSYC)
Vol 5 No 1 (2023): November 2023

Penerapan Metode Clustering Dengan K-Means Untuk Memetakan Potensi Tanaman Padi di Sumatera

Irma Sanela (Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru)
Alwis Nazir (Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru)
Fadhilah Syafria (Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru)
Elin Haerani (Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru)
Lola Oktavia (Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru)



Article Info

Publish Date
30 Nov 2023

Abstract

Rice plants are the primary source of rice, the staple food for the majority of the Indonesian population. Despite the presence of other food alternatives, rice remains irreplaceable for those accustomed to consuming rice. According to data from the Food and Agriculture Organization of the United Nations (FAO) in 2018, Indonesia is the third-largest rice producer in the world, with a total production of 59.2 million tons. However, urban and agricultural spatial planning is not yet fully integrated, resulting in often conflicting decisions in land use planning for agriculture and urban development. To meet the rice demand in Sumatra, efforts are needed to increase rice production in each province. Therefore, this research aims to map the potential for rice cultivation in Sumatra based on production and harvest results from 1993 to 2020. The method used in this study is K-Means, which allows the grouping of rice potential areas into three categories: high, medium, and low. The research results produced three clusters, evaluated using the Davies Bouldin Index (DBI) with a value of 0.3943. The clustering results indicate that Cluster 0 contains 92 areas with a high success rate, Cluster 2 comprises 84 areas with a medium success rate, and Cluster 1 consists of 48 areas with a low success rate. The category of low success rate is found in Cluster 1 with 48 areas. Cluster 0 includes Aceh, North Sumatra, West Sumatra, South Sumatra, and Lampung within certain time periods. Cluster 1 encompasses other areas with different characteristics. Cluster 2 includes the provinces of Riau, Jambi, and Bengkulu.

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Journal Info

Abbrev

josyc

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

Description

Journal of Computer System and Informatics (JoSYC) covers the whole spectrum of Artificial Inteligent, Computer System, Informatics Technique which includes, but is not limited to: Soft Computing, Distributed Intelligent Systems, Database Management and Information Retrieval, Evolutionary ...