Implementation of the Bayes theorem method for identifying diseases of children under five


  • Macro Ramadhani Universitas Labuhan Batu
  • Volvo Sihombing Universitas Labuhanbatu
  • Masrizal Masrizal Universitas Labuhan Batu




Disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about the diseases of children under five and the symptoms they experience makes parents fearful. The lack of knowledge of children's diseases from experts can result in delayed treatment. Problems that occur can be overcome by utilizing artificial intelligence technology. One of the artificial intelligence technologies is an expert system. Information needs very quickly from an expert to deal with problems or diseases of children under five that are expected by parents or society. So that is what drives the development of a software application, namely an expert system for the identification of diseases of children under five. An expert system for the identification of toddlers' diseases is made as a tool to diagnose diseases experienced by toddlers by using the symptoms experienced by toddlers as a tool to detect diseases experienced by children under five. The system can identify 5 types of disease with 23 symptoms of disease. This expert system uses the development method of problem identification, system design, implementation and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft Access as the database. The results of consulting tests with this system show that the system is able to determine the disease along with the initial treatment and treatment solutions that must be carried out, based on the symptoms previously selected by the user.

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How to Cite

Ramadhani, M., Sihombing, V. ., & Masrizal, M. (2021). Implementation of the Bayes theorem method for identifying diseases of children under five. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 5(2), 260-265.

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