NDLI: An Expert System for Diagnosis of Broiler Diseases using Certainty Factor

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An Expert System for Diagnosis of Broiler Diseases using Certainty Factor

Content Provider	Scilit
Author	Setyohadi, D. P. S. Octavia, R. A. Puspitasari, T. D.
Copyright Year	2018
Description	Journal: Journal of Physics: Conference Series Broilers are defined as chickens of meat-type strains raised specifically for meat production. Based on data production from the Ministry of the Republic of Indonesia raised 3.76% from 2015 – 2016. But in reality the price of chicken is expensive, because the amount of market demand is more than the amount of production. Harvest failure due to chicken disease is one of the causes. Detecting diseases at early stage can enable to overcome and treat them appropriately. Identifying the treatment accurately depends on the method that is used in diagnosing the diseases. A Diagnosis expert system can help a great deal in identifying those diseases and describing methods of treatment to be carried out taking into account the user capability in order to deal and interact with expert system easily and clearly. This system has 25 symptoms and 6 diseases using certainty factor method to solve the problem of uncertainty. The result of the research is that Broiler Expert System has been successfully identifying diseases that can solve the problem with accuracy 90%.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/953/1/012118/pdf http://iopscience.iop.org/article/10.1088/1742-6596/953/1/012118/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/953/1/012118
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	953
Language	English
Publisher	IOP Publishing
Publisher Date	2018-01-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Agriculture and Animal Production Expert System Using Certainty Factor
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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