Kilat
Vol 6 No 1 (2017): KILAT

Penerapan Algoritma Partitioning Around Medoids Untuk Menentukan Kelompok Penyakit Pasien (Studi Kasus : Puskesmas Kajen Pekalongan)

Anindya Khrisna Wardhani (Magister Sistem Informasi, Universitas Diponegoro)

Article Info

Publish Date
08 Oct 2019

Abstract

Heaps of data residing on health services, polyclinics, hospitals and clinics are now only limited to providing graphs or statistics on the number of patients seeking treatment. The contents of the report in the form of the illness and its report medicine information from the disease.This research applies methods of partitioning around medoids (k-medoids) to produce information about the grouping of the disease "Acute" and "NOT ACUTE" that affects many patients in Puskesmas Kajen Pekalongan. Then these results can be used as ingredients or basic health education by the local Health Department. Based on the data obtained, the resulting number of acute cluster there are 94 items, not acute cluster 906 items with a total amount of data is 1000.

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Journal Info
Kilat
Website

Abbrev

kilat

Publisher

Institut Teknologi Perusahaan Listrik Negara

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy

Description

KILAT Journal is a scientific journal published by STT-PLN. KILAT Journal is published twice in one year in April and October and contains the results of research in the fields of Mechanical Engineering, Electrical Engineering, Civil Engineering and Information Engineering, Law and Economics related ...