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All Journal Jurnal Ilmu Komputer
Ariyani, Marwah Erni
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Perbandingan Kinerja Clustering Non-Hierarchical pada Indeks Daya Saing Daerah di Provinsi Jawa Tengah Tahun 2022 Ariyani, Marwah Erni; Wijayanto, Arie Wahyu
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Regional Competitiveness Index (RCI) is a benchmark to measure the ability of a region to compete in a market published by the National Research & Innovation Agency (BRIN). RCI includes several pillars or indicators including infrastructure, quality human resources, innovation, and government policies that support economic growth. This study aims to compare the performance of several non-hierarchical clustering techniques. The data used are the RC) from 35 Regencies/Municipalities in Central Java,2022 which was published by the National Research and Innovation Agency. The clustering methods used are Fuzzy c-means, K-means, and K-medoid. Each method gets a different optimal number of clusters. After evaluating the best model using the Silhouette Coefficient, Dunn Index, Davies Bouldin Index, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC), the best model was obtained using k-medoid with three clusters. Based on the clusters formed, the first cluster has three regencies/municipalities, the second cluster has regencies/cities, and the third cluster has 25 regencies/ municipalities.
Co-Authors Arie Wahyu Wijayanto