Agesta, Ryan Dwi (2023) Penerapan Data Mining Untuk Pengelompokan Penyebaran Dokter Spesialis Di Jawa Timur Menggunakan Metode K-Means. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

This research aims to implement data mining using the K-means clustering method for the distribution of specialist doctors in East Java. This distribution is carried out to ensure efficient healthcare services and equal access to healthcare. The study focuses on seven specialist doctors, namely Obstetrics and Gynecology, Pediatrics, Internal Medicine, Surgery, Radiology, Clinical Pathology, and Anesthesiology.
Additional data, such as population count with a ratio of 1:2500, is used to assess whether the distribution of specialist doctors complies with Regulation No. 34 of
2016 issued by the Ministry of Law and Human Rights. The available data is processed using the K-means algorithm, which clusters the doctors based on their characteristics and locations. The results of this clustering provide valuable
information for designing more effective strategies for placing specialist doctors in East Java. This research is expected to provide guidance for healthcare policies in
improving the distribution of specialist doctors in the region

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