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All Journal Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Septie
BPS Provinsi Jambi

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Penerapan Biplot PCA dan K-Medoids Cluster pada Segmentasi Wilayah Berdasarkan Potensi Kelapa Sawit Septie
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v6i02.74

Abstract

Palm oil is one of the plantation commodities which has an important role in the Indonesian economy. Indonesia's palm oil (CPO) production is the largest in the world, with a very large plantation area. Seeing the importance of the palm oil commodity, area-based planning is very necessary. In this research, Biplot Principal Component Analysis (Biplot PCA) analysis was used to look at the positioning and mapping of provinces based on palm oil potential data, as well as the relationship patterns of provinces with palm oil potential indicators. Researchers also segmented these provinces using K-Medoids Cluster analysis, which will later obtain provincial segmentation results based on oil palm potential indicators. Based on the results of the PCA Biplot analysis, four groups of provinces were obtained with the same characteristics in each group. Meanwhile, to look at provincial groups based on palm oil potential indicators more objectively, a K-Medoids Cluster analysis was carried out. KMedoids Cluster is a method for grouping objects that is robust against outliers. From the results of the K-Medoids Cluster, four provincial clusters were obtained based on oil palm potential indicators.
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