CASE BASED REASONINGUNTUK MENDIAGNOSIS GIZI BURUK PADA ANAKUSIA 0-5 TAHUN MENGGUNAKAN METODE COSINE SIMILARITY

J-Icon : Jurnal Komputer dan Informatika

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Title CASE BASED REASONINGUNTUK MENDIAGNOSIS GIZI BURUK PADA ANAKUSIA 0-5 TAHUN MENGGUNAKAN METODE COSINE SIMILARITY
 
Creator Sina, Derwin Rony
Boru, Meiton
Boru, Meiton
Soinbala, Marselina Elisabeth
 
Description Case Based Reasoning (CBR) method is one method to build a system with new case decision based on solution from previous cases by calculating similarity level. The calculation of similarity values ​​using the Cosinr Similarity with threshold 80%. This system can diagnose 3 diseases based on 23 existing symptoms.Based on the results of the test case obtained the results: the system can take back the old case is appropriate and has used the formulation of Naïve Bayes method to distribution of disease class and used the formulation of Cosine Similarity method to calculation correctly indicated with 100% accuracy, and use 122 cases. . Based on the test of 40 new cases obtained system accuracy of 80%.
 
Publisher Universitas Nusa Cendana
 
Date 2019-03-31
 
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/885
10.35508/jicon.v7i1.885
 
Source J-Icon : Jurnal Komputer dan Informatika; Vol 7 No 1 (2019): Maret 2019; 67-71
2654-4091
2337-7631
10.35508/jicon.v7i1
 
Language eng
 
Relation http://ejurnal.undana.ac.id/jicon/article/view/885/764
 
Rights Copyright (c) 2019 Jurnal Komputer dan Informatika (JICON)
http://creativecommons.org/licenses/by-nd/4.0
 

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