Research Article
Expert System for Predicting Children Mental Retardation using Forward Chaining
@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
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.