Artificial Intelligent in Education: The Development of 'Disabel' System to Analyze Student Learning Styles

Abstract

The industrial revolution 4.0 is Characterized by automation and digitalization in various sectors. This of course has an immediate impact on the development of education. The Science of Technology has been integrated into the education sector so that the modern era of education can Utilize technological developments to improve the quality of education. The quality of education is related to the learning process. Learners must maximize the learning process to improve learning outcomes. Learning style plays an important role in the learning process, learners must therefore Recognize the learning style they have. This study aims to analyze learning styles based on the type of learning style classification (visual, auditory and kinesthetic). The research uses waterfall method and developed based on the website by applying the principle of artificial intelligence by applying the forward chaining algorithm as an inference engine. The forward chaining is designed based on the rules of the system knowledge and collaborated with knowledge of learning styles. To assess the system, the program was tested twice by involving two program experts. The results of the first learning style analysis system test program obtained an average score of 3.68 on a scale of 4 with the criteria of "Very Good". Second program expert assessed this system with an average score of 3.89on a scale of 4 with criteria for "Very Good". Then the overall score for the learning style analysis system at a score of 3.87 with the criteria of "Very Good".