CLUSTERING OF DISTRICTS IN CENTRAL JAVA ACCORDING TO PEOPLE'S WELFARE INDICATORS USING WARD'S METHOD

  • Dannu Purwanto Departement of Data Science, Universitas Muhammadiyah Semarang
  • Rizky Adi Pratama Departement of Statistics, Universitas Muhammadiyah Semarang
  • Raymond Bolly Lein Departement of Statistics, Universitas Muhammadiyah Semarang
  • Ikwan Prastyo Departement of Statistics, Universitas Muhammadiyah Semarang
  • M. Al Haris Departement of Statistics, Universitas Muhammadiyah Semarang https://orcid.org/0000-0003-3702-3161
Keywords: Cluster Analysis, Community Welfare, Ward's

Abstract

One of the main goals of development activities carried out by every country was to improve people's welfare. Community welfare was a situation where citizens could fulfill and adequately fulfill their material and spiritual needs. The poverty rate of Central Java Province was recorded: out of a total population of 37.03 million people, around 3,831.44 thousand people were poor. The population density of Central Java Province reaches 1,120 people per km2, the third largest number of poor people in Indonesia. This study aimed to group regencies/cities in Central Java based on the characteristics of the community welfare indicators. The indicators used in this study were the Open Unemployment Rate (UR), Labor Force Participation Rate (LFPR), Poverty, Human Development Index (HDI), and District Minimum Wage (DMW). The method used in this research was Ward's Agglomerative Hierarchical Clustering. The final results concluded that the best number of clusters formed was 6 clusters. The first cluster consists of 13 Regencies/Cities, the second cluster consists of 8 Regencies/Cities, the third cluster consists of 3 Regencies/Cities, the fourth cluster consists of 1 Regency/City, the fifth cluster consists of 5 Regencies/Cities, the sixth cluster consisting of 5 Regencies/Cities.

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Published
2025-06-12