COMMAX 2020 UiTM Kampus Kuala Terengganu

Generally learning style is defined as individual preferred way of learning. Every student is exposed to certain learning environment. Different student, different ability in their studies and it can be referred in learning style. For deaf student, there are several types of deaf. Even though we know deaf student used their vision to learn and communicate but they also have their own learning style to process and retained the information to gain their knowledge in their studies. This system focusing on learning style prediction based on Grasha Reichmann Student Learning Style. This learning style has been known that focusing on the specific criteria which is about the attitude of student towards the subject, learning environment and their relationship between their friends and teacher. It also does not care about the academic achievement level. Accordingly, the goal of this study is to develop a learning style prediction system for deaf students based on Grasha Reichmann Learning Style using Fuzzy TOPSIS Algorithm. This research used Fuzzy TOPSIS Algorithm to rank the learning style in Grasha Reichmann Student Learning Style. With the fuzzy input from Grasha Reichmann Student Learning Style question which is have many criteria and the TOPSIS method to rank the result it will be easier for the user to make decision about their learning method. The contribution of this study has found that there is high possibility the result of first rank in the system and high range in original calculation in Grasha Reichmann Student Learning Style is same. But the other result is in the system was in different range number in Grasha Reichmann Student Learning Style and ranking.