Java Island Health Profile Clustering using K-Means Data Mining

Authors

  • Muhammad Andryan Wahyu Saputra UIN Malang
  • Sri Harini

DOI:

https://doi.org/10.21108/ijoict.v8i1.606

Keywords:

Clustering, Datamining, K-Means, Java Island Health Profile

Abstract

Health is the best gift in life, because with health humans can carry out daily activities. Administratively, Java Island consists of 85 administrative regions and 34 cities. Therefore, it is very important to understand the health level of each area. The main objective of this research is to divide each region (district and city) into several groups and use the K-means method to determine health status based on 8 data parameters into certain groups. Algorithm in groups, will place the data based on the similarity of characteristics between groups. The results showed that there were 4 clusters of health profiles in Java, with 1 high health quality cluster in Central Jakarta, 55 regencies/municipalities with low health quality, 52 regencies/cities with low health quality. and the quality of health is quite low there are 13 districts/cities, it can be concluded that the health indicators in Java

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Published

2022-07-27

How to Cite

Wahyu Saputra, M. A., & Harini, S. (2022). Java Island Health Profile Clustering using K-Means Data Mining. International Journal on Information and Communication Technology (IJoICT), 8(1), 1–9. https://doi.org/10.21108/ijoict.v8i1.606

Issue

Vol. 8 No. 1 (2022): June 2022

Section

Articles

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