Expert System for Predicting Children Mental Retardation using Forward Chaining

Hays, Riyan Naufal and Suhendar, Akip and Amaliah, Ila and Sumiati, Sumiati and Muttain, Zaenal and Maylawati, Dian Sa’adillah (2020) Expert System for Predicting Children Mental Retardation using Forward Chaining. In: ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: expert system forward chaining mental retardation
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 17 Mar 2021 11:29
Last Modified: 17 Mar 2021 11:29
URI: https://eprints.eudl.eu/id/eprint/1704

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