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@article{J.Gauss46301, author = {Caecilia Allo}, title = {Clustering Kabupaten/Kota di Provinsi Papua Berdasarkan Produk Domestik Regional Bruto Menurut Lapangan Usaha Menggunakan Single Linkage dan K-Medoids}, journal = {Jurnal Gaussian}, volume = {13}, number = {1}, year = {2024}, keywords = {Multivariate Analysis}, abstract = {Gross Regional Domestic Product (GRDP) using the production approach represents the total value added from goods and services produced by different sectors within a specific region over a defined timeframe. There are 17 business sectors used to obtain the GRDP. The growth rate of GRDP in Papua is decrease in 2023. The growth rate is only 3,44%, whereas the previous year it reached 4,11%. An analysis is needed to assist the government to enhance the GRDP in Papua. Clustering method can group districts/cities that have similar characteristics. The aims of this article is to determine the best method for clustering districts/cities in Papua using GRDP data. Single Method and K-Medoids is used in this article. Based on silhouette coefficients, Single Methods is better than K-Medoids to clustering districts/cities in Papua. Based on criteria of silhouette coefficients, number of clusters formed is three.}, issn = {2339-2541}, pages = {111--120} doi = {10.14710/j.gauss.13.1.111-120}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/46301} }
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