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

Universitas Sriwijaya

Author

AULIA, AGRIN
Tania, Ken Ditha

Subject

T57.8 General works 

Datestamp

2023-05-16 02:11:06 

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. 

File :
RAMA_57201_09031381821002.pdf
RAMA_57201_09031381821002_TURNITIN.pdf
RAMA_57201_09031381821002_0018078502_01_front_ref.pdf
RAMA_57201_09031381821002_0018078502_02.pdf
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RAMA_57201_09031381821002_0018078502_05.pdf
RAMA_57201_09031381821002_0018078502_06_ref.pdf