Published: 2024-04-01

Analisis Cluster dengan K-Means untuk Pengelompokan Kabupaten/Kota di Provinsi Jawa Timur Berdasarkan Pembangunan TIK Tahun 2021-2022

DOI: 10.35870/jtik.v8i2.1815

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Abstract

The National Statistics Agency has grouped the IP-TIK by province into 4 categories (high, medium, low and very low). However, the details of IP-TIK in each province have not been explained in detail by city or district. The province chosen was East Java. In this province, the Human Development Index (HDI) is at a high level, but there is inequality in the distribution. This research aims to explore information on whether there are gaps in ICT development using a data mining approach, namely grouping. This is so that the East Java Provincial government focuses more on ICT development at the lower level. The method used is k-Means with Euclidean distance calculations. The highest group results are in cluster 2, which indicates that the IP-ICT level in East Java province is on average moderate. Group inequality occurred in cluster 4 for the household having a computer. Those included in cluster 4 (low category) include Pacitan Regency, Lumajang Regency, Probolinggo Regency, Bangkalan Regency, Sampang Regency and Pamekasan Regency.

Keywords

K-Means; Regency/City Grouping; ICT Development; East Java Province; Cluster Analysis

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