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Agrin Aulia
Universitas Sriwijaya
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PENERAPAN DATA MINING UNTUK PENGELOMPOKKAN HASIL DIAGNOSA PENYAKIT PESERTA JKN-KIS BPJS KESEHATAN KANTOR CABANG PRABUMULIH Agrin Aulia
Jurnal Saintifik Vol 21 No 1 (2023): JANUARI
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1470.714 KB) | DOI: 10.58222/js.v21i1.123

Abstract

BPJS Kesehatan has collaborated with several health facilities in Indonesia to provide health services. So far, the use of grouping the results of disease diagnosis of JKN-KIS participants used by BPJS Health Partners and also the Health Office only uses a general description of the patient data. Optimal utilization of disease diagnosis data from JKN-KIS patients has not been done. Therefore, Clustering is also a method of grouping several data objects into a certain group of information with a high degree of similarity. Testing the best value with the Elbow method produces a K value that is close to The Shape of a 90 degree angle that is in the 4th cluster. So therefore, the medical record data grouping system produces the best cluster by using 8 clusters.
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