Volume 35, Issue 4 (IJIEPR 2024)                   IJIEPR 2024, 35(4): 75-90 | Back to browse issues page

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Maflahah I, Asfan D F, Joko Utomo S, AS F, Arief Firmansyah R. Agglomeration Agricultural Zone Analysis Based on the Hybrid Hierarchical Clustering Approach in Madura, Indonesia. IJIEPR 2024; 35 (4) :75-90
URL: http://ijiepr.iust.ac.ir/article-1-2110-en.html
Agglomeration Agricultural Zone Analysis Based on the Hybrid Hierarchical Clustering Approach in Madura, Indonesia
Iffan Maflahah 1, Dian Farida Asfan2 , Selamet Joko Utomo3 , Fathor AS4 , Raden Arief Firmansyah4
1- Department of Agroindustrial Technology, Faculty of Agriculture, Universitas Trunojoyo Madura , iffanmaflahah@gmail.com
2- Department of Agroindustrial Technology, Faculty of Agriculture, Universitas Trunojoyo Madura
3- Departement of Development Economic, Faculty of Economic and Business, Universitas Trunojoyo Madura
4- Departement of Management, Faculty of Economics and Bussines, Universitas Trunojoyo Madura
Abstract:   (626 Views)
Madura Island, comprising four regencies, exhibits a diverse array of agricultural resource potential, particularly in paddy, maize, cassava, and soybeans. Althought the Gross Regional Domestic Product assesses economic progress. it inadequately reflects the whole spectrum of potential within each region. A comprehensive observation of this diversity is required to facilitate a more focused development approach. This study aims to employ a hybrid hierarchical clustering method to delineate and classify the geographical regions of Madura Island according to their agricultural potential. K-means clustering, that part of hybrid hierarchical clustering approach was used to achieve aims of research. Number of farmers, land area, and commodities production were variable that used to classify regional based on its potentials. First, hierarchical method was performed to determine the appropriate number of clusters then K-means clustering was applied to classify the regions based on agricultural commodities. The results show effectively determined Madura Island's agricultural potential using the hybrid hierarchical clustering method, which categorizes locations based on characteristics of agricultural production. The research reveals six clusters, each characterized by a unique profile of primary commodity production, including paddy, corn, soybeans, and cassava. Implication of this result is offering insights into regional development of Madura based on agricultural potential.
Keywords: Agricultural Zone, Hybrid Hierarchical Clustering, K-means, Madura
Full-Text [PDF 742 kb]   (129 Downloads)    
Type of Study: Research | Subject: Optimization Techniques
Received: 2024/09/6 | Accepted: 2024/10/6 | Published: 2024/12/10
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