Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)

Expert System for Learning Disability Classification in School-Age Children

Authors
Fahriza Mutiara Fajariyanti*, fahrizamutiara@gmail.com
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Dias Agatadiasagata@pens.ac.id
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Tri Harsonotrison@pens.ac.id
Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Corresponding Author
Fahriza Mutiara Fajariyantifahrizamutiara@gmail.com
Available Online 4 March 2022.
DOI
10.2991/assehr.k.220301.039How to use a DOI?
Keywords
learning disability; dyslexia; dysgraphia; dyscalculia; fuzzy expert system
Abstract

Learning disabilities are generally defined as disorders of one or more basic psychological processes including the use of spoken or written language shown by children with poor ability to hear, think, read, write, spell, or solve mathematic problems. The purpose of this research is to classify learning disabilities in children using a fuzzy expert system as a step in recognizing the learning abilities of school-age children so that treatment can be done early on. This expert system is built with several modules, namely a knowledge base, memory, fuzzy inference engine, and a web-based interface. Answers from users will be processed using a fuzzy expert system based on the scores obtained from each category of reading, writing, math and logic, and heredity. The output of this system answers whether the child is normal, dyslexia, dysgraphia, dyscalculia, or a combination of the types of learning disabilities. The expert system was conducted on 20 school-age children (6-12 years old). The classification results of three types of learning disabilities using a fuzzy expert system showed an accuracy of 95%.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 March 2022
ISBN
978-94-6239-547-3
ISSN
2352-5398
DOI
10.2991/assehr.k.220301.039How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fahriza Mutiara Fajariyanti
AU  - Dias Agata
AU  - Tri Harsono
PY  - 2022
DA  - 2022/03/04
TI  - Expert System for Learning Disability Classification in School-Age Children
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
PB  - Atlantis Press
SP  - 231
EP  - 237
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220301.039
DO  - 10.2991/assehr.k.220301.039
ID  - Fajariyanti2022
ER  -