CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT KEHAMILAN MENGGUNAKAN COSINE SIMILARITY

J-Icon : Jurnal Komputer dan Informatika

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Title CASE BASED REASONING UNTUK MENDIAGNOSA PENYAKIT KEHAMILAN MENGGUNAKAN COSINE SIMILARITY
 
Creator Gitaswara, Adelysa P
Mola, Sebastianus Adi Santoso
Pandie, Emerensiana S.Y
 
Description The application of case-based reasoning in diagnosing pregnancy deseases is motivated by the lack of number of obstetricians. The use of CBR aims to solve new problems by adapting the solutions contained in the previous case, by calculating the level of similarity. Calculation of similarity value using cosine similarity method, with threshold equal to 100%. This system can diagnose 6 diseases, 28 existing symptoms. System outbreaks of illness experienced by patients based on symptoms induced by non-specialist medical personnel, as well as handling solutions accompanied by a presentation of similarities with previous cases to indicate the degree of truth of possible diagnosis. Based on the results of case testing, the results obtained: the system can retrieve the exact old case and have used the cosine similarity methodology correctly, shown with 100% accuracy results, and using 104 cases is optimal enough to diagnose 6 illnesses shown with average results Similarity to 20 cases is 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/359
10.35508/jicon.v5i2.359
 
Source J-Icon : Jurnal Komputer dan Informatika; Vol 5 No 2 (2017): Oktober 2017; 6-11
2654-4091
2337-7631
10.35508/jicon.v5i2
 
Language eng
 
Relation http://ejurnal.undana.ac.id/jicon/article/view/359/332
 
Rights Copyright (c) 2017 Jurnal Komputer dan Informatika (JICON)
http://creativecommons.org/licenses/by-nd/4.0
 

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