DIAGNOSIS PENYAKIT PADA KELINCI MENGGUNAKAN METODE VARIABLE-CENTERED INTELLIGENT RULE SYSTEM DAN DEMPSTER-SHAFER

ALSA, SENA ALTHARIQ and Yunita, Yunita and Kurniati, Rizki (2022) DIAGNOSIS PENYAKIT PADA KELINCI MENGGUNAKAN METODE VARIABLE-CENTERED INTELLIGENT RULE SYSTEM DAN DEMPSTER-SHAFER. Undergraduate thesis, Sriwijaya University.

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Abstract

One application of an expert system application that can be used to diagnose diseases in rabbits. This study aims to create an expert system using the Variable- Centered Intelligent Rule System and Web-based Dempster-Shafer method with the PHP programming language and get the diagnostic accuracy value. The system input used as diagnostic material is the choice of disease symptoms. This study used 30 data and variables in the form of symptoms experienced by patients such as sneezing, lethargy, decreased appetite and so on as well as the results of physical examinations carried out by experts. Based on the tests that have been carried out, the system has an accuracy of 93% in diagnosing diseases. It can be concluded that the Variable-Centered Intelligent Rule System and Dempster-Shafer Methods can be used to diagnose diseases in rabbits.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar, Penyakit Kelinci, Variable-Centered Intelligent Rule System, Dempster-Shafer.
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Sena Althariq Alsa
Date Deposited:	26 Jul 2022 03:00
Last Modified:	26 Jul 2022 03:00
URI:	http://repository.unsri.ac.id/id/eprint/74700

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