PENERAPAN METODE CERTAINTY FACTOR DAN NAIVE BAYES DALAM DIAGNOSIS PENYAKIT IKAN LELE

MUHAMMAD, RIFQI and Yunita, Yunita and Rizqie, M. Qurhanul (2022) PENERAPAN METODE CERTAINTY FACTOR DAN NAIVE BAYES DALAM DIAGNOSIS PENYAKIT IKAN LELE. Undergraduate thesis, Sriwijaya University.

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Abstract

One of the causes of catfish farming failure is due to disease. This can lead to the death of fish during cultivation. High mortality in aquaculture will affect fish production, so an expert system was created using the Certainty Factor and Naive Bayes methods which can help breeders to diagnose diseases suffered by catfish. The Naive Bayes method is used to classify diseases so that the system can diagnose the disease. However, this method has the disadvantage that it cannot show the degree of confidence in the diagnosis results. To cover this deficiency, this method is combined with the Certainty Factor method. The Certainty Factor method provides a percentage value of confidence in the diagnosis results, and the Certainty Factor method is used to find the accuracy value of the system's diagnosis so that the diagnosis results are more accurate. In this study, the data used in the form of secondary and primary data in the form of diseases and symptoms in catfish using 15 test data. In this study, the system produces an accuracy rate of 93.3% where the appropriate data contains 14 data and 1 data that fails. So, based on the accuracy results, it can be concluded that the catfish disease diagnosis system using the Certainty Factor and Naive Bayes methods is quite accurate and efficient. Keywords: Catfish Disease, Certainty Factor, Expert System, and Naive Bayes.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Certainty Factor, Naive Bayes, Penyakit Ikan Lele, dan Sistem Pakar.
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Rifqi Muhammad
Date Deposited:	03 Aug 2022 05:55
Last Modified:	03 Aug 2022 05:55
URI:	http://repository.unsri.ac.id/id/eprint/75853

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