Application of fuzzy analytic network process in evaluating students' preference factors in online learning / Nurul Farhana Ahmad Rushdan and Nurul Amirah Mohd Khir Johari

Recently, the world has been affected by the Coronavirus disease (COVID-19), which caused major disruptions in every sector including the education sector. Most of the education systems in the world has to shift to fully online learning. In line with this, University Teknologi Mara (UiTM) has decided to execute online learning during the pandemic outbreak. However, numerous challenges occurred during online learning. Therefore, the purposed of this study is to evaluate students’ preference factors in online learning system among students in UiTMCK by using the Fuzzy Analytic Network Process (FANP). The criteria involved were easy to use, easy to interact with educators, interesting content, and proper navigation. For sub-criteria which are the factors, it involved system quality, content, learner community, and learner interface. Ten decision makers from UiTMCK have been requested to complete this fuzzy questionnaire for data collection purposes. According to the findings of this study, content has the highest weight compared to the other factors. The result obtained by using the Fuzzy ANP suits to reduce biases and is fairer to all factors because the method provides systematic calculation by generating the total score for each factor. Hence, the qualifying factor will be selected based on rank.