Implementasi Algoritma Apriori Untuk Menentukan Pola Data Penyakit Pada Anak Usia Dini (Studi Kasus: RS. Estomihi)

JURIKOM (Jurnal Riset Komputer)

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Title Implementasi Algoritma Apriori Untuk Menentukan Pola Data Penyakit Pada Anak Usia Dini (Studi Kasus: RS. Estomihi)
 
Creator Purba, Citra Verawati
Buulolo, Efori
 
Subject Apriori Algorithm, Data Mining, Pattern of Disease
 
Description Hospital is a place to treat patients with different types of diseases, and hospitals are also one of the health services that are medical, healing and recovery for patients. Many people who want to seek treatment at the hospital both parents and including  early  childhood. Based on this, researchers are interested in looking for patterns from large-scale data and associating data with one another using the Apriori algorithm. Thus, the diseases suffered by early childhood can be classified based on the medical record data, so that the  pattern of early childhood disease can be known. The information produced can be used by the Hospital and the doctors on duty at the hospital to take the necessary actions in order to prevent the spread of a disease and also reduce the risk of death of patients suffering from disease
 
Publisher STMIK Budi Darma
 
Contributor
 
Date 2020-04-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/2113
10.30865/jurikom.v7i2.2113
 
Source JURIKOM (Jurnal Riset Komputer); Vol 7, No 2 (2020): April 2020; 308-311
2715-7393
2407-389X
10.30865/jurikom.v7i2
 
Language eng
 
Relation https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/2113/1576
 
Rights Copyright (c) 2020 JURIKOM (Jurnal Riset Komputer)
http://creativecommons.org/licenses/by-sa/4.0
 

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