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DOI: 10.14569/IJACSA.2020.0110122
PDF

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Author 1: Kristiawan Nugroho
Author 2: Sugeng Murdowo
Author 3: Farid Ahmadi
Author 4: Tri Suminar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020.

  • Abstract and Keywords
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Abstract: Mobile learning has been used in the learning process in several tertiary institutions in Indonesia. However, several universities have not been able to implement mobile learning due to the limitations of computer and network infrastructure. Cloud computing is a solution for agencies that experience limitations in computer infrastructure in the form of internet-based services for their customers. This paper discusses the implementation of mobile cloud learning which is a combination of mobile learning technology and cloud computing using the renewal DeLone and McLean Model which is a successful model to measure how important the implementation of a mobile cloud learning system is. The results showed that from the F test results obtained Fcount of 13,222, then Fcount> Ftable (13,222> 3.01), then Ho was rejected and H1 was accepted. So it can be concluded Information Quality, System Quality, and Service Quality together affect the Intensity of Use.

Keywords: Mobile learning; cloud computing; DeLone; McLean; model

Kristiawan Nugroho, Sugeng Murdowo, Farid Ahmadi and Tri Suminar, “Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110122

@article{Nugroho2020,
title = {Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110122},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110122},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Kristiawan Nugroho and Sugeng Murdowo and Farid Ahmadi and Tri Suminar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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