Pengelompokkan Kualitas Pemuda Menurut Provinsi di Indonesia Tahun 2023 Menggunakan Partition Clustering

  • Faris Iqbal Maulana Susanto Politeknik Statistika STIS
  • Setia Pramana Politeknik Statistika STIS
Keywords: clustering, youth, k-means, k-medoids

Abstract

The percentage of youth in Indonesia in the last decade has been in the range of 23-24 percent of the Indonesian population. Youth have an active role in national development. Therefore, youth development is the focus of the government because it is the key to accelerating development. This study aims to categorize provinces based on the condition of youth in health, education, and socio-economic aspects in 2023 so that it can assist the government in determining youth development policies effectively and inclusively. Based on the validation, k-medoids algorithm was chosen as the best clustering method with the number of clusters as many as 4. In general, the four clusters have quite different characteristics. Youth development in education, socio-economic, and health aspects by province still shows gaps. Therefore, equalization efforts tailored to the needs of provincial clusters are needed to achieve more equitable and inclusive progress.

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Published
2024-09-26
How to Cite
Susanto, F. I., & Pramana, S. (2024, September 26). Pengelompokkan Kualitas Pemuda Menurut Provinsi di Indonesia Tahun 2023 Menggunakan Partition Clustering. PROSIDING SEMINAR NASIONAL SAINS DATA, 4(1), 282-293. https://doi.org/https://doi.org/10.33005/senada.v4i1.192