PROTOTIPE SISTEM PAKAR DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM UNTUK MENDIAGNOSA PENYAKIT PADA ANJING
| Main Authors: | , Ade Chandra Saputra, , Drs. Retantyo Wardoyo, M.Sc., Ph.D |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/119278/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59273 |
Daftar Isi:
- Expert system is one of the part in artificial intelligence which is used to solve a problem that usually done by an expert. One of the implementation of an expert system in Veterinary medicine is to diagnose the diseases. In this research, design and manufacture a prototype of expert system are used to help to determine the dog diseases. This prototype is intended to provide an access information about type of dog diseases and therapeutic advice to owner, physician assistants and veterinarians themselves. The prototype of an expert system is developed using Variable-Centered Intelligent Rule System and certainty factor method. A Variable-Centered Intelligent Rule System method is able to knowledge development, update knowledge and consultation or process of inference. Certainty factor method itself is used to give consideration to the weighting process on the symptoms of the disease so that the weighting process has been able to provide the results of diseases with a value of confidence from the system. The input of development knowledge is results of knowledge representation that have been made based on interview with an expert in veterinary. In the knowledge development process each symptoms/variables will be calculated and will generalize the symptoms/variables on update knowledge based on its results. In the consultation process, input on expert system is the symptoms of disease which given by user and displayed by system, then the output of the system is the diseases based on its answer. The final result of this research is a prototype of expert system for diagnosing diseases of the dog and its value of confidence of the disease that indicates the level of confidence in the system against the disease therapeutic advice that should be given. The result of this research shows that the method of Variable-Centered Intelligent Rule System and certainty factor could be implemented in prototype of expert system for diagnosing diseases in dog.