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
Rahmatina Hidayati, Luthfi Indana, Mochammad Daffa Putra Karyudi, Redoti Zulfikar Sasongko
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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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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 8 No. 2 (2024)
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Section: Computer & Communication Science
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Published: 2024-04-01
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/jtik.v8i2.1815
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Rahmatina Hidayati, Universitas Merdeka Malang
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Merdeka Malang, Kota Malang, Provinsi Jawa Timur, Indonesia
Luthfi Indana, Universitas Merdeka Malang
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Merdeka Malang, Kota Malang, Provinsi Jawa Timur, Indonesia
Mochammad Daffa Putra Karyudi, Universitas Merdeka Malang
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Merdeka Malang, Kota Malang, Provinsi Jawa Timur, Indonesia
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