Work

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

Year: 2023

Type: article

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.

Source: Kubik Jurnal Publikasi Ilmiah Matematika

DOI: 10.15575/kubik.v7i2.21653

Authors: Elisa Syafaqoh, Nurissaidah Ulinnuha, Lutfi Hakim

Institution: UIN Sunan Ampel Surabaya

Language: Indonesian

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: No poverty

Open Access status: gold

Estimated APC paid: $70