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All Journal ESTIMASI: Journal of Statistics and Its Application
Kholifah, Fitri Nur
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Mathematics

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Pengelompokan Daerah Produksi Tanaman Biofarmaka Menurut Jenis Tanaman dengan Metode K – Means Clustering Kholifah, Fitri Nur; Bahri, Saiful
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 1, Januari, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i1.27200

Abstract

Biopharmaceutical plants or commonly called medicinal plants are plants in which one, several or all parts of these plants contain substances or active ingredients that are useful for body health, disease healing or cosmetic ingredients. Based on data from the Central Bureau of Statistics (BPS), the production of biopharmaceutical plants varies in each region. So that in an effort to equalize the results of biopharmaceutical production in Indonesia, it is necessary to group areas that have the potential to produce biopharmaceutical plants to find out which areas produce in large or small quantities. In this research, a method is needed to facilitate the grouping of biopharmaceutical producing regions, one of which is the clustering analysis method. . One of the methods that can be used in cluster analysis is the k-means clustering algorithm. The results of this study indicate that there are 5 provinces that are included in cluster 1 (C1) with the category of low biopharmaceutical production in 2021. Meanwhile, 29 other provinces are included in the cluster. 2 (C2) with the category of high biopharmaceutical production areas in 2021.
Co-Authors Saiful Bahri