Expert System Diagnose Disease Persian cat with Bayes Theorem Method

Abstrak- Lack of knowledge of the disease and the limitations Pesia cat disease management is often experienced by the owners of Persian cats. Therefore it is necessary to act / respond quickly to prevent infection with the disease more serius.Teorema Bayes is a method used to predict the probability. Therefore, in this study will be analyzed Persian cat disease data using Bayes theorem using four diseases areFeline Leukemia Virus, Worms, Cat Flu and Mushrooms Cryptococus. Based on these descriptions, we need a system that can represent an expert who has the knowledge base and experience of the Persian cat disease, which is an expert system. Developments in information technology more widely and rapidly. So much in use in various fields. That accompanied the information technology internet support each other resulting in increased web-based technologies.


Introduction
Pet for the owner is like his own child. Caring, nurturing and attention to its development is very important suatuhal. Even pet owners are willing to spend lots of money just to treat their pets to avoid various diseases. There are many types of cats are commonly used as pets, one of which is a Persian cat. Persian cat owner will experience problems when pets infected with the disease. Given the number of staff veterinarian at the Animal Health Center (Clinic) Lubukpakam slightly and the number of animals that are controlled by the isntansi, it is becoming less effective in dealing with animal disease. Along with the development of technology, not only human experts, specialists can be implemented into a system called expert system. Artificial intelligence is a field of computer science that enable computers to act like humans (mimicking the human brain). In general, expert systems (expert systems) is a system that is trying to adopt human knowledge into a computer so that the computer can resolve the issue as was done by experts. (Shinta: 2016). The method used in this research is by using Bayes Theorem. In a previous study conducted by Almuiini and Miftachuniam (2015) on "Applications Determination of Diseases That Allows treatable With Red Onion Method Using Naive Bayes", and research conducted by Healtho Brilliant Argario, Nurul Hidayat, and Ruth Kartika Dewi (2018 ) on "Implementation of Bayes' theorem method for Goats Disease Diagnosis", Bayes theorem is a machine learning using a probability calculation that uses the concept of a Bayesian approach. The use of more efficient methods of Bayes Theorem in training and use, because they can be assumed to be independent. So this method can be implemented with a variety of datasets.

A. Cat
Cats (Felissilvestriscatus) is one of the most popular pet in the world. Cats are carnivores kind. The word "cat" generally refers to "cat" that has been tamed, tetapibisa also merujukkepada "kucingbesar" seperisinga, harimaudan others. Cats have mingled with human life at least since the year 4000 BC. In the year 7500 BC found a cat skeleton on the island of Cyprus. The ancient Egyptians of 4000 BC has used cats to keep the rats or other rodents from barns that menyimpanhasil harvest (Alex, 2012).
Several types of disease that often affects cats (Prayogo,

C. Method of Bayes Theorem
Bayes theoremis one method of classification that is rooted in the Bayes theorem. Bayes Theorem combined with "Naive" which means that each attribute / variable is free (Novianto et al, 2012).

A. Data analysis
This section will be explained in general how to determine the outcome of a Persian cat disease diagnosis based on data and results of calculation using Bayes theorem.

C. Analysis Methods
The method used so that users' needs can be met is by using Bayes theorem. Bayes theorem method is one way to cope with the uncertainty of data is constructed from a probabilistic theory.
a. Symptoms and weights for this disease is as follows:

Conclusion
Based on the description that has been done on the disease diangnosa Persian cat with Bayes theorem, then pennulis able to draw some conclusions as follows: a. Expert System generated in this study is the result of the analysis of knowledge and scientific experts to provide information and data onPersian cat diseasewhich was acquired in the form of rules that can later be traced and identified the possibility of illness Persian cat who implemented into computerized systems or intelligent applications. b. Development of Expert System was preceded by collecting some information and expert knowledge relating about the detection of clinical symptoms found in disease manifestations Persian cat who subsequently formed into the base or body of knowledge, then do the calculation and application of Theorem Bayes who have the aim to produce a level of the possibility of disease from the symptoms identified. c. Expert systems are designed to implementBayes theoremin the process menddiagnosa Persian cat diseases that have been carried out in accordance with the steps and algorithms methodsBayes Theorem,so that the system can be applied as a consultancy and reference animal health officials in making early diagnosis results in conducting face-detection antherPersian cat