Klusterisasi Penyandang Masalah Kesejahteraan Sosial (PMKS) Di Kabupaten Bojonegoro Menggunakan Algoritma K-Medoids

Authors

  • Elisa Syafaqoh Universitas Islam Negeri Sunan Ampel Surabaya
  • Nurissaidah Ulinnuha Universitas Islam Negeri Sunan Ampel Surabaya
  • Lutfi Hakim Universitas Islam Negeri Sunan Ampel Surabaya

DOI:

https://doi.org/10.15575/kubik.v7i2.21653

Keywords:

Clustering, K-Medoids, PMKS, Silhouette Coefficient

Abstract

Persons with Social Welfare Problems (PMKS) are individuals, community groups, or families who cannot adequately and properly meet their economic, physical, mental, and social needs, both spiritually and physically, because of an obstacle, difficulty, or disturbance. This study aimed to classify sub-districts in Bojonegoro Regency based on the level of social welfare problems using the K-Medoids Clustering (PAM) Analysis method. There are 2 clusters formed with an Average Silhouette of 0.73. Cluster 1 is a sub-district group with common social welfare problems, and Cluster 2 is a sub-district group with high social welfare problems. Each silhouette value of the cluster is 0.74 and 0.70 with the specifications of a well-formed and strong structure.

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Published

2023-06-05

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Vol. 7 No. 2 (2022): KUBIK: Jurnal Publikasi Ilmiah Matematika

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