Delone and McLean Models for measuring the success of Flores University e-learning information system

https://doi.org/10.31940/matrix.v12i2.68-78

Authors

  • Kristianus Jago Tute Universitas Flores
  • Maria Adelvin Londa Universitas Flores

Keywords:

Delone and Mclean Model, information systems success, e-learning

Abstract

The University of Flores first conducted E-Learning learning amid the covid 19 pandemic, the problem faced was that most of the lecturers at the University of Flores did not understand E-learning by using information technology. The Faculty of Information Technology facilitated all faculties at the university to conduct e-training. E-Learning, in the learning process. The aim is to measure success in implementing the University of Flores E-Learning information system. The model in this study is the Delone and Mclean model to measure success with six dimensions, namely, system quality, information quality, users, service quality, user satisfaction, net benefits. The method in this research is observation, a survey using questionnaires in the form of a Likert scale, and a literature study. The data analysis technique used simple linear regression. The results showed that the Delone and Mclean models were very well used to measure the success of using e-learning. The conclusion is that the quality of information on the use percentage of 34.4%, the quality of service they use of 33.8%, the quality of the system on the satisfaction of the users is 38.6%, and the quality of the services on the satisfaction of the users 34,5%, the users on the satisfaction of the users 43,4%, use of net benefits is 58.7% and user satisfaction of net benefits is 48.8%. The higher the value of these variables, the higher the success rate of information systems using E-learning at universities will be.

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Published

2022-07-31

How to Cite

Jago Tute, K., & Londa, M. A. (2022). Delone and McLean Models for measuring the success of Flores University e-learning information system. Matrix : Jurnal Manajemen Teknologi Dan Informatika, 12(2), 68–78. https://doi.org/10.31940/matrix.v12i2.68-78