A system to diagnose learning disability in children of special need

Munir; Rasim; Chepy Cahyadi; Lala Septem Riza

doi:10.1109/ICSITech.2016.7852606

A system to diagnose learning disability in children of special need

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Munir, Rasim, Chepy Cahyadi, Lala Septem Riza

2017 Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment Conference paper Cited by 1

Abstract

There are many factors that led to the occurrence of learning disability, namely impaired concentration, memory, dyslexia, dyscalculia, and the environment. The difficulty to determine solution and find out the cause of the learning disability occurrence is the problem of the research. Dempster-Shafer method is used to build an expert system in diagnosing learning disability. Interference engine used to calculate the value of belief function and the results of children diagnosis against symptoms. The result found that 15 of the 25 people inquired are known to experience learning disability while others are normal. Further development of the system which focuses on the characteristics of learning disability in more detail is needed. © 2016 IEEE.

Affiliations

Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia

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