Clustering Data Rekam Medis Untuk Penentuan Penyakit Endemi di Daerah Kabupaten Bengkulu Selatan Dengan Mengimplementasikan Metode Fuzzy C-Means (Studi kasus Puskesmas Kabupaten Bengkulu Selatan)

ABSTRACT
Medical record is a history of treatment of patients treated in hospitals or
clinics. Medical language commonly used by doctors to diagnose and then act on
a patient's illness. The process of recording medical records in the South
Bengkulu area still uses the conventional method, namely by writing on paper so
that the data in the medical record can only be used to view the patient's medical
history. One way to group data is by clustering which is one of the data mining
techniques, namely the clustering algorithm. Clustering application of medical
record data for the determination of endemic diseases in the South Bengkulu
Regency area was built by implementing the website-based Fuzzy C-Means
method with a codeigniter framework. The amount of data used is 110 data
consisting of 11 sub-district data consisting of the name of the sub-district, the
area, population and 10 disease data, namely the name of the disease and the
number of patients. The application can group sub-districts based on the potential
for endemic diseases using the Fuzzy C-Means clustering method in tabular form.
The use of the Fuzzy C-Means clustering method can produce data groups in 3
clusters but uses a random value as the initial value so that the calculation results
can change slightly depending on the size of the data and the amount of data.
Keyword : Medical record, Clustering, Fuzzy C-means