Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia

Research Article

Expert System for Predicting Children Mental Retardation using Forward Chaining

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2298027,
        author={Riyan Naufal Hays and Akip  Suhendar and Ila  Amaliah and Sumiati  Sumiati and Zaenal  Muttain and Dian Sa’adillah Maylawati},
        title={Expert System for Predicting Children Mental Retardation using Forward Chaining},
        proceedings={Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia},
        publisher={EAI},
        proceedings_a={ICONISTECH-1},
        year={2020},
        month={11},
        keywords={expert system forward chaining mental retardation},
        doi={10.4108/eai.11-7-2019.2298027}
    }
    
  • Riyan Naufal Hays
    Akip Suhendar
    Ila Amaliah
    Sumiati Sumiati
    Zaenal Muttain
    Dian Sa’adillah Maylawati
    Year: 2020
    Expert System for Predicting Children Mental Retardation using Forward Chaining
    ICONISTECH-1
    EAI
    DOI: 10.4108/eai.11-7-2019.2298027
Riyan Naufal Hays1,*, Akip Suhendar1, Ila Amaliah1, Sumiati Sumiati1, Zaenal Muttain1, Dian Sa’adillah Maylawati2
  • 1: Department of Informatics, Universitas Serang Raya, Indonesia
  • 2: Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
*Contact email: riyan.unsera@gmail.com

Abstract

Mental retardation is also known as intellectual disability. The symptoms of mental retardation can be detected early since children. This research aims to develop an Expert System (ES) to predict mental retardation in children with 4 type of mental retardation, among others: mild, moderate, severe, and very severe. This ES which is contained the expert knowledge is developed using Forward Chaining (FC) algorithm as research method. Besides to detect type of mental retardation, this ES provides the treatment information based on the type of mental retardation that suffered. Black box testing result that showed all of system functionalities run well, the results of the questionnaire on the ease of use of the system with some respondents also showed good results. Besides, based on the experiment with 23 of symtomps, 4 main rules, and 20 additional rules, showed that FC caplable to predict the mental retardation in children well enough.