A Mobile-based Expert System for Disease Diagnosis Child using Best-First Search Algorithm


  • Nurwahyuni Hasan Universitas Labuhanbatu, Indonesia
  • Gomal Juni Yanris Universitas Labuhanbatu, Indonesia
  • Elysa Rohayani Hasibuan Universitas Labuhanbatu, Indonesia




Currently, many parents want their children to be free from disease. Although this cannot be fully expected. Problems that often occur to parents are when their child is sick, lack of knowledge and limited sources of information about the disease that causes parents to leave their children without first aid. In other conditions, in areas that are far from the doctor's practice, the need for information on disease management is very necessary. Based on the problems that have been described previously, this expert system was created to assist parents in understanding the symptoms of skin diseases that occur in children. In the development of this expert system using the Best-First Search (BFS) algorithm as an inference engine. In this expert system application the user can choose the symptoms of the disease in children, then the output produced is the conclusion of the disease. From the test results based on Blackbox, it was found that 100% functionality runs according to the list of system requirements. After this research was completed, it was concluded that to design an expert system in detecting childhood diseases, starting from conducting interviews, followed by system design, the next process was implementing the system, then testing by experts for compatibility with the data that had been obtained. 

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How to Cite

Hasan, N., Yanris, G. J. ., & Hasibuan, E. R. . (2022). A Mobile-based Expert System for Disease Diagnosis Child using Best-First Search Algorithm. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(2), 701-707. https://doi.org/10.33395/sinkron.v7i2.11426

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