K-Means Algorithm for District/City Classification in West Java Based on Stunting Toddler Data

Authors

  • Ade Bani Riyan Politeknik Siber Cerdika Internasional, Indonesia
  • Ikhsan Nendi Ikhsan Nendi Politeknik Siber Cerdika Internasional, Indonesia

DOI:

https://doi.org/10.58631/jtus.v2i2.80

Keywords:

Algoritma K-Means, Data Mining, Stunting

Abstract

Health issues, especially related to stunting, remain a major concern in Indonesia. Stunting is a condition where toddlers have a height that is too short for their age, which is a sign of chronic malnutrition. The purpose of this study is to group the number of stunting by district/city in West Java. The dataset was obtained from data on the number of stunting toddlers by district/city in West Java Province from 2014 to 2022. This dataset related to the topic of Health is produced by the health Office which is issued every 1 year. The results showed that there are two main groups in the classification of stunting numbers in West Java. The first group (cluster 0) includes Ciamis Regency, Kuningan Regency, Majalengka Regency, Sumedang Regency, Subang Regency, Purwakarta Regency, Bekasi Regency, West Bandung Regency, Pangandaran Regency, Bogor City, Sukabumi City, Bandung City, Cirebon City, Depok City, Cimahi City, Tasikmalaya City, Banjar City. The second group (cluster 1) consists of Bogor Regency, Sukabumi Regency, Cianjur Regency, Bandung Regency, Garut Regency, Tasikmalaya Regency, Cirebon Regency, Indramayu Regency, Karawang Regency, Bekasi City

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Published

2024-02-15