Pribadi, Muhammad Januar (2024) SISTEM PAKAR PENDETEKSI PENYAKIT PADA KUCING MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Cats are popular pets that are often susceptible to various diseases. The inability of owners to diagnose cat diseases promptly often necessitates consultations with veterinarians, most of whom are only available in urban areas, leading to the creation of an expert system for detecting cat diseases. The expert system is also expected to assist the role of veterinarians in identifying cat diseases. This study aims to develop a web-based expert system using Forward Chaining and Certainty Factor methods to help diagnose diseases in cats. The system development methodology includes preparation, prototyping, and completion stages. In the preparation stage, problems are formulated and interviews with veterinarians are conducted to build the knowledge base. The prototyping stage involves the creation of an inference engine and knowledge base. The completion stage includes implementing the system into a web-based user interface using PHP and the Laravel framework. System testing results show high consistency with manual diagnosis results using Excel. For example, the diagnosis of Panleukopenia Virus disease had a certainty factor value of 94.62% in the application, while manual calculations showed 95.21%, with a difference of only 0.41%. This indicates that the developed expert system can provide quick and accurate diagnoses. The conclusion of this study is that the web-based expert system using Forward Chaining and Certainty Factor methods is reliable for diagnosing cat diseases. This application can help veterinarians diagnose diseases more efficiently and enable cat owners to perform initial diagnoses independently, allowing for faster treatment of diseases.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA76.76.E95 Expert Systems | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||||||
| Depositing User: | Muhammad Januar Pribadi | ||||||||||||
| Date Deposited: | 03 Jul 2024 04:40 | ||||||||||||
| Last Modified: | 03 Jul 2024 04:40 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/25382 |
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