Fuzzy Geographically Weighted Clustering Analysis for Sectoral Potential Gross Regional Domestic Product in West Sumatera

Penulis

  • Syifa Nabilah Wandira Universitas Negeri Padang
  • Zilrahmi
  • Syafriandi Syafriandi
  • Fadhilah Fitri

DOI:

https://doi.org/10.24036/ujsds/vol1-iss5/109

Kata Kunci:

Gross Regional Domestic Product, Cluster Analysis, Fuzzy Geographically Weighted Clustering

Abstrak

Gross Regional Domestic Product is the sum of the added value of all goods and services produced or produced in an area that arises as a result of various economic activities in a certain period. Each region certainly has its own advantages and potential, such as in sectors or business fields. GRDP inequality occurs due to differences in geographical conditions and natural resources in each region. The method that can be used to overcome this inequality is cluster analysis. Fuzzy Geographically Weighted Clustering is a clustering method which is an integration of the classical fuzzy clustering method and geo-demographic elements, so that the clusters formed will be sensitive to geographic effects. The results of the research obtained 3 optimum clusters with different characteristics. Cluster 1 has high potential, cluster 2 has low potential and cluster 3 has medium potential in forming GRDP.

Unduhan

Diterbitkan

2023-11-30

Cara Mengutip

Syifa Nabilah Wandira, Zilrahmi, Syafriandi Syafriandi, & Fadhilah Fitri. (2023). Fuzzy Geographically Weighted Clustering Analysis for Sectoral Potential Gross Regional Domestic Product in West Sumatera. UNP Journal of Statistics and Data Science, 1(5), 405–412. https://doi.org/10.24036/ujsds/vol1-iss5/109

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