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SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA IKAN HIAS AIR TAWAR DENGAN FUZZY INFERENCE SYSTEM

Joutica

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Title SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA IKAN HIAS AIR TAWAR DENGAN FUZZY INFERENCE SYSTEM
 
Creator Rina, Indahsari Dewi
Lia, Dina Komar
 
Subject —
Expert System, diagnosis of disease, freshwater ornamental fish, Fuzzy Inference System
 
Description One of the main causes of failure in aquaculture activities is due to disease factors. The emergence of disease disorders in fish farming is a biological risk that must always be anticipated. The emergence of diseases in fish is generally the result of complex / unbalanced interactions between the three components in the aquatic ecosystem, namely weak hosts (fish), malignant pathogens and deteriorating environmental quality. Fish cultivators must obtain fast information related to diseases that infect their fish, and how to deal with them. In this study an expert system was created to diagnose ornamental fish disease using the media website, so that it can be used at any time without having to see a doctor / expert. Knowledge base involves 23 symptoms and 5 diseases that are common in freshwater ornamental fish, using a decision table producing 20 Rule. The inference process uses the Tsukamoto fuzzy, the modeling has 23 input variables and 1 output variable. Each input variable has 3 sets and the output variable has 5 sets. The implementation results indicate that the system built can provide diagnostic results with an 85% accuracy rate.
 
Publisher Universitas Islam Lamongan
 
Contributor —
 
Date 2019-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/284
10.30736/jti.v4i1.284
 
Source Jouticla; Vol 4, No 1 (2019); 237-243
Joutica; Vol 4, No 1 (2019); 237-243
2621-511X
2503-071X
10.30736/jti.v4i1
 
Language ind
 
Relation https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/284/204
 
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