SISTEM PAKAR DIAGNOSA PENYAKIT PADA SISTEM PENCERNAAN MENGGUNAKAN METODE CERTAINTY FACTOR

PRASIDATAMA, YODI DADY and Efendi, Rusdi and Al Farissi, Al Farissi (2019) SISTEM PAKAR DIAGNOSA PENYAKIT PADA SISTEM PENCERNAAN MENGGUNAKAN METODE CERTAINTY FACTOR. Undergraduate thesis, Sriwijaya University.

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Abstract

One of the sub-science from Artificial Intellegence is Expert System. Expert System use human knowledge from inference engine to solve problem that requires expertise from human expert. Many Expert Systems are in use for medical purpose like diagnosing certain disease. One of the popular methods for Expert System to diagnose disease is Certainty Factor method. Certainty Factor shows the measurements for certain facts or rule by defining the value of belief from hypothesis based on its evidence. Expert System in this research will be developed to be able to show the diagnose based on 2 highest value of disease from Combination Certainty Factor formula. Based on research with 15 kinds of symptomps and 5 kinds of digestive system disease for diagnosing sample of 30 patients, the developed Expert System can diagnose within 80% of accuracy and having average of belief value by 85,1%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar Diagnosa Penyakit, Certainty Factor
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 4623 not found.
Date Deposited:	21 Jan 2020 03:46
Last Modified:	21 Jan 2020 03:46
URI:	http://repository.unsri.ac.id/id/eprint/24685

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