Students' Satisfaction in Online Distance Learning using Fuzzy Logic and Inference System

Education system can measure the performance of students by their academic assessment which regards them as passed or failed. However, their satisfaction level during the learning process is also one of the important element to measure the students' psychology and their struggle in learning outcomes. Furthermore, the pandemic outbreak has changed the conventional face-to-face learning environment to online distance learning as whole. In this study, fuzzy logic and inference system is used to present an evaluation for students' satisfaction in online distance learning. The main advantage of this method is its capability to express the students throughout based on simple linguistic statements collected from themselves. Six indicators towards satisfaction are determined and it is suggested that 90.27% of students were satisfied and very satisfied with online distance learning.