Expert System for Diagnosing Diseases in the Female Reproductive System Using Android-Based Bayes Theorem Method

Dewi, Novianty Clarysa (2022) Expert System for Diagnosing Diseases in the Female Reproductive System Using Android-Based Bayes Theorem Method. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Health is something that everyone really needs to pay attention to. In women the health of the reproductive system needs to be considered. There are more than 150 thousand cases of female reproductive diseases every year in Indonesia. Women in Indonesia are expected to better understand the importance of the health of their reproductive system. The purpose of developing this expert system is to make applications for diagnosing diseases of the female reproductive system and information on diseases of the female reproductive system. The method used to perform the search is the forward chaining method. The Forward Chaining method is a tracking method that starts from the input information and tries to draw conclusions from the existing information. While the method used to determine trust is the Bayes theorem method. Bayes theorem is a probability method used for decision making. Bayes method can be used to overcome data uncertainty by using Bayes formula. This research produces an android-based application that has features for diagnosing diseases of the female reproductive system and information on diseases of the female reproductive system. This system was tested with 2 tests, namely blackbox testing and system validity testing. The results of the blackbox testing that have been carried out are the application runs well. The results of the system validity test show that this application is 87% valid.

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