Abstract—Even though educational technology is very
advanced, some children experience learning disorders.
Learning disorders in children include Dyslexia, Dysgraphia,
Dyscalculia, and Dyspraxia. Ignorance about learning
disorders in children will result in the child not getting help to
reach his potential and have an impact on problematic
behavior and destructive mental disorders in children. That is
why it is necessary to make an early diagnosis to determine the
presence of learning disorders in children. Therefore, for this
reason, this study aims to develop an expert system for the
early diagnosis of learning disorders in children using the
Certainty Factor and Dempster-Shafer methods. The results
show that the Certainty Factor method is more accurate than
the Dempster-Shafer method in diagnosing children with
disorders. The accuracy of the test results by diagnosing
children’s learning disorders using the Certainty Factor
method is 90%, and by the Dempster-Shafer method, it is 87%.
The novelty of this research is to build a system for diagnosing
the types of learning disorders in children using the Certainty
Factor and Dempster-Shafer methods which have never been
done by previous researchers.
Index Terms—Educational technology, learning disorder, children learning, certainty factor, dempster-shafer
Anthony Anggrawan is with Information Technology Education Department, Bumigora University, Indonesia.
Hairani Hairani is with Computer Science Department, Bumigora University, Indonesia. E-mail: firstname.lastname@example.org (H.H.)
Christofer Satria is with Visual Communication Design Department, Bumigora University, Indonesia. E-mail: email@example.com (C.S.)
Aprillia Dwi Dayani is with Business Economy Department, Bumigora University, Indonesia. E-mail: firstname.lastname@example.org (A.D.D.)
*Correspondence: email@example.com (A.A.)
Cite: Anthony Anggrawan*, Hairani Hairani, Christofer Satria, and Aprillia Dwi Dayani, "Diagnosing Learning Disorders in Children: A Comparison of Certainty Factor and Dempster-Shafer Methods," International Journal of Information and Education Technology vol. 13, no. 9, pp. 1422-1429, 2023.Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).