Sistem Pakar Deteksi Dini Autisme Pada Anak Balita Menggunakan Metode Forward Chaining

Abstract

Autism is a subtype of a condition that affects development and is referred to as autism spectrum disorder (ASD). Problems of a severe neurobiological nature that impair normal brain function have been implicated as a potential cause of autism. Children who have these disorders have a more difficult time engaging in social activities and effectively communicating with others, which is one of the signs of autism. Parents are able to use the system effectively by basing their decisions on the symptoms that their child is exhibiting, which makes early detection possible. In order to reduce the number of cases in which an incorrect diagnosis is made, there is a pressing need for the development of a system that would assist medical professionals in making simpler and more reliable diagnoses of autism. This system also needs to assist in the formulation of recommendations and the establishment of a diagnostic model that is able to evaluate each and every one of the obstacles and difficulties that youngsters are faced with. Utilizing an expert system as a means to carry out this implementation is one possible course of action. During the course of their examination, the researchers made use of a methodology known as forward chaining. This method entails tracing transitions beginning with the facts and seeking rules that fit the existing hypotheses all the way to the conclusions. The findings of the black box testing indicate that the functionality of the system is running effectively, while the results of the User Acceptance Test (UAT) indicate a value of 81.05% in the Very Good category. We now have the findings of the black box testing thanks to the fact that the construction of the expert system went off without a hitch.