Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin

Over the past few years, virtual education institutions have adopted some form of online education. The Analytic Hierarchy Process (AHP) has been used in previous research to establish critical success factors. However, the AHP approach leads to a less-than-optimal result since it cannot account for the fuzziness. Several researchers have proposed the fuzzy sets theory as a way to improve AHP’s ability to cope with problems involving uncertainty and fuzziness. The purpose of this study is to use Fuzzy Analytic Hierarchy Process to rank the various factors and sub-factors that affect the success of e-learning. This research will look at four main factors, each of which has three sub-factors. Regarding the choice criteria for successful e-learning, this study focuses solely on the student’s and lecturer’s opinions. At the end of this research, both objectives were accomplished. The results of this study show that the quality of the infrastructure and system is the most important factor on the success of e-learning from the lecturer's perspective. For the most important sub-factors affecting e-learning success from the lecturer’s perspective, students’ attitudes toward e-learning ranked first. Besides, according to student’s perspectives, the most important factor in e-learning success is the characteristics of students toward e learning, and the sub-factor that ranked first is students’ attitudes toward e-learning.