CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT ANAK MENGGUNAKAN METODE BLOCK CITY

J-Icon : Jurnal Komputer dan Informatika

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Field Value
 
Title CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT ANAK MENGGUNAKAN METODE BLOCK CITY
 
Creator Mage, Marnon C. Y
Sina, Derwin R
Widiastuti, Tiwuk
 
Description The Case Based Reasoning (CBR) method is one of the methods to build a system that works by diagnosing new cases based on old cases that have occurred and providing solutions to new cases based on old cases with the highest similarity values. In this study, the authors apply CBR to diagnose diseases of children aged 1-12 years. Sources of system knowledge were obtained by collecting patient medical record files in 2014 and 2015. The calculation of similarity values using the Block City Gower method with a fairness value is 70%. This system can diagnose 10 illnesses based on 48 existing symptoms. The output of the system in the form of the illness experienced by the patient based on symptoms implanted by non-physician medical personnel, handling solution and presentation similarities with the previous case to show the truth level of the diagnosis. Based on the test of 83 new cases obtained system accuracy of 75,90%.
 
Publisher Universitas Nusa Cendana
 
Date 2017-10-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejurnal.undana.ac.id/jicon/article/view/364
10.35508/jicon.v5i2.364
 
Source J-Icon : Jurnal Komputer dan Informatika; Vol 5 No 2 (2017): Oktober 2017; 42-47
2654-4091
2337-7631
10.35508/jicon.v5i2
 
Language eng
 
Relation http://ejurnal.undana.ac.id/jicon/article/view/364/336
 
Rights Copyright (c) 2017 Jurnal Komputer dan Informatika (JICON)
http://creativecommons.org/licenses/by-nd/4.0
 

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