SISTEM PAKAR BERBASIS WEB UNTUK DIAGNOSA DAN PENANGANAN PENYAKIT PADA BINATANG KUCING MENGGUNAKAN PROBABILITAS DAN TEOREMA BAYES

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SEPTIANI PUTRI , NIM. 08650005 (2013) SISTEM PAKAR BERBASIS WEB UNTUK DIAGNOSA DAN PENANGANAN PENYAKIT PADA BINATANG KUCING MENGGUNAKAN PROBABILITAS DAN TEOREMA BAYES. Skripsi thesis, UIN SUNAN KALIJAGA.

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Abstract

Cats are animals that are very commonly found around us. For most people, they prefer cats as pets. Knowledge of disease in animals cats needed by the owner of the cat for take care their healthy. Problems often occur in the diagnosis and treatment of disease in animals cats are public ignorance regarding information about cat diseases, and sometimes difficulty of experts / specialists met in an emergency. Sometimes costly background specialists also lazy people bring their cats to the expert / veterinarian. In this research built an expert system which can diagnose the disease in cats. This expert system knowledge base has 22 diseases and 100 disease clinical symptoms. The method used in the development of expert systems is ESDLC (Expert System Development Life Cycle). Expert systems are built with webbased programming languages PHP and MySQL as database. Motor inference used is forward chaining. Expert systems provide an output diagnosis and treatment of disease as well as probability values and bayes theorem based on the results of consultations with related symptoms input by the user. Based on the issues and stages in the development of the system, it can be concluded that the expert system can be useful to assist the public in knowing the knowledge of cat diseases, and the public may consult with an expert system to determine the diagnosis and treatment of disease in cats. Expert systems are also useful as a tool for storing expert knowledge about cat illnesses. Hopefully with this expert system the public can obtain information about cat diseases easily, quickly and accurately. Keywords: expert systems, knowledge base, cat diseases, forward chaining, probability, bayes theorem, PHP, MySQL

Item Type: Thesis (Skripsi)
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Tehnik Informatika
Depositing User: Editor : Miftahul Ulum, S.Kom -------For More Information -------- Facebook : digilibuin
Date Deposited: 22 Apr 2013 10:32
Last Modified: 22 Apr 2013 10:32
URI: http://digilib.uin-suka.ac.id/id/eprint/7317

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