MATEC Web Conf.
Volume 154, 2018The 2nd International Conference on Engineering and Technology for Sustainable Development (ICET4SD 2017)
|Number of page(s)||6|
|Published online||28 February 2018|
Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP
Informatics Dept, Sebelas Maret University, Jl Ir Sutami 36 A, Kentingan, Surakarta, Indonesia 57126
* Corresponding author: email@example.com
Recently almost all universities in the world have implemented E-learning to support their academic system. Previous studies have been conducted to determine CSF using Analytic Hierarchy Process (AHP) method. However, AHP method cannot handle the uncertainty and vagueness of the human’s opinion, so then it causes less appropriate decision. Some researcher has proposed to use fuzzy sets theory with AHP to increase the ability of AHP to deal problem regarding the uncertainty/fuzziness. This study aims to determine ranks of priorities of the multiple factors which influence the E-learning success using FAHP method. The respondents consist of ten e-learning’s experts, 305 lecturers, and 4195 students at Sebelas Maret University. The result describes similar success factors ranking between both experienced and non-experienced user (lecturer and student). Then, the result shows that there are five most influencial success factors of e-learning at Sebelas Maret University based on the lectures perspective Financial Policy, Regulatory Policy, Course quality, Relevant Content and Technical Support. On the other hand, according to the student's point of view five most e-learning, critical success factors are Quality of Course, Relevant of Content, Completeness of Content, Attitudes toward Student, and Flexibility in taking Course. Therefore, this finding can be used by E-learning management of Sebelas Maret University to deteremine a strategy to to achieve successful implementation of e-learning at Sebelas Maret University with consider these factors.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.