PENERAPAN DATA MINING UNTUK PENGELOMPOKKAN HASIL DIAGNOSA PENYAKIT PESERTA JKN-KIS BPJS KESEHATAN KANTOR CABANG PRABUMULIH

AULIA, AGRIN and Tania, Ken Ditha (2022) PENERAPAN DATA MINING UNTUK PENGELOMPOKKAN HASIL DIAGNOSA PENYAKIT PESERTA JKN-KIS BPJS KESEHATAN KANTOR CABANG PRABUMULIH. Undergraduate thesis, Sriwijaya University.

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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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Diagnosa, K-Means Clustering, Data Mining.
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.8 General works
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Agrin Aulia
Date Deposited:	16 May 2023 02:11
Last Modified:	16 May 2023 02:11
URI:	http://repository.unsri.ac.id/id/eprint/101056

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