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

UNP Journal of Statistics and Data Science Pub Date : 2023-11-30 DOI:10.24036/ujsds/vol1-iss5/109

Syifa Nabilah Wandira, Zilrahmi, Fadhilah Syafriandi, Fitri, Kehutanan dan Perikanan Pertanian, Bukittinggi Kabupaten, Pasaman Barat, Kabupaten Kepulauan, Mentawai Kota, Padang, Pengadaan Listrik, dan Gas, Sawahlunto, Pengadaan Air, No Sektor, Terendah Tertinggi, Informasi Komunikasi, Jasa Keuangan, Jasa Kesehatan, Kegiatan Sosial, Jasa Lainnya

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Abstract

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.

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西苏门答腊各部门潜在地区国内生产总值的模糊地理加权聚类分析

地区生产总值是一个地区在一定时期内由于各种经济活动而产生的所有商品和服务的附加值总和。当然，每个地区都有自己的优势和潜力，如在行业或商业领域。由于每个地区的地理条件和自然资源不同，因此会出现 GRDP 不平等现象。克服这种不平等的方法就是聚类分析。模糊地理加权聚类是一种聚类方法，它是经典模糊聚类方法与地理人口要素的整合，因此所形成的聚类将对地理效应非常敏感。研究结果得到了 3 个具有不同特征的最佳聚类。在形成 GRDP 方面，聚类 1 具有高潜力，聚类 2 具有低潜力，聚类 3 具有中等潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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UNP Journal of Statistics and Data Science

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