Usability and User Satisfaction Rate Evaluation on E-Learning Application from Student's Perspective Using Nielsen Usability Method

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Alexander J P Sibarani

Abstract

Covid-19 is a new and contagious disease that has spread throughout the world community. This disease has spread to Indonesia since early March 2020. One way to prevent the spread of this virus is by implementing activities from home. Budi Luhur University is one of the educational institutions that has implemented work and learning from home during the Covid-19 pandemic. In the teaching and learning process, the E-Learning application is the main tool used both from the faculty and student sides. The total and urgent implementation of E-Learning application which began in March 2020 caused several problems that reduced the comfort of students in carrying out learning process. The purpose of this study is to measure the level of student satisfaction and the level of use of the E-Learning application and its features. This study used a survey sampling method by distributing questionnaires and getting results from 115 respondents. The method used in this research is the Nielsen Usability method. Measurements were made using five criteria: Learnability, Memorability, Efficiency, Errors, and Satisfaction. Result show, although the average of each dimension is in the satisfied interpretation, there are significant differences in the level of satisfaction in each dimension. The dimension with the lowest average rating is the Errors dimension. This shows that respondents still find some errors when using the E-Learning application so that respondents do not show significant satisfaction in terms of the Errors dimension. In other side, result shows that the respondent thinks face-to-face meetings are still needed.


 

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How to Cite
[1]
A. J. P. Sibarani, “Usability and User Satisfaction Rate Evaluation on E-Learning Application from Student’s Perspective Using Nielsen Usability Method”, INFOTEL, vol. 13, no. 3, Aug. 2021.
Section
Informatics

References

[1] Wu, Y. C., Chen, C. S., & Chan, Y. J. (2020). The outbreak of COVID-19: An overview. Journal of the Chinese Medical Association, 83(3), 217–220. https://doi.org/10.1097/JCMA.0000000000000270
[2] covid19.kemkes.go.id. (2020). Corona Virus Update, Public Health Emergency Operating Center (PHEOC) Kementerian Kesehatan Republik Indonesia, accessed 1 May 2020, < https://covid19.kemkes.go.id >
[3] Universitas Budi Luhur. (2020). Surat Edaran Rektor Mengenai Pencegahan Terhadap Persebaran Covid-19 pada Kampus Universitas Budi Luhur. Accessed 30 April 2020,
< https://www.budiluhur.ac.id/berita/page/3/>
[4] Pebriantika, L. (2021). Adoption of Mobile Learning: The Influence and Opportunities for Learning During the Covid-19 Pandemic. 15(05), 222-230. https://doi.org/10.3991/ijim.v15i05.21067
[5] Biswas, B., Roy, S. K., & Roy, F. (2020). Students’ Perception of Mobile Learning during
COVID-19 in Bangladesh: University Student Perspective Students Perception of Mobile Learning during COVID-19 in Bangladesh: University Student Perspective.(July). https://doi.org/10.29333/aquademia/8443
[6] Alghazi, S.S.; Kamsin, A.; Almaiah, M.A.; Wong, S.Y.; Shuib, L. For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool. Sustainability 2021, 13, 1856. https://doi.org/10.3390/su13041856
[7] Hussain A., Mkpojiogu E.O.C., Ezekwudo C.C. (2021). Improving the Academic Self-Efficacy of Students Using Mobile Educational Apps in Virtual Learning: A Review. International Journal of Interactive Mobile TEchnologies. 15(6):149-160. https://doi.org/10.3991/ijim.v15i06.20627 Nielsen, J. (1993). Usability Engineering. San Fransisco: Morgan Kaufmann.
[8] Sönmez, A., Göçmez, L., Uygun, D., & Ataizi, M. (2018). A review of current studies of mobile learning. Journal of Educational Technology & Online Learning, 1(1), 12-27. https://doi.org/10.31681/jetol.378241
[9] Bastien, J.M.C. (2010). Usability testing: a review of some methodological and technical aspects of the method. 79 (4), e18-e23. http://dx.doi.org/10.1016/j.ijmedinf.2008.12.004
[10] Roy, S., Pattnaik, P.T., Mall, R. (2014). A quantitative approach to evaluate usability of academic websites based on human perception. 15(3), 159-167. https://doi.org/10.1016/j.eij.2014.08.002
[11] Mohd S.A. & Aditya T. (January, 2017). An Investigation of Effectiveness of Mobile Learning Apps in Higher Education in India. International Journal of Information Studies & Libraries. 2(1): 33-41.
[12] Demir, K. & Akpinar, E. (2018). The Effect of Mobile Learning Applications on Students' Academic Achievement and Attitudes toward Mobile Learning. Malaysian Online Journal of Educational Technology, 6(2), 48-59.
[13] In Jin X., Xue Z., & Heng L. (2017). Effects of Mobile Learning on Academic Performance and Learning Attitude in a College Classroom. 4th International Conference on Advanced Education and Management (ICAEM 2017).
[14] Gómez-Ramírez I, Valencia-Arias A, Duque L (2019) Approach to M-learning acceptance among university students: An integrated model of TPB and TAM. IRRODL 20(3):141-164. https://doi.org/10.19173/irrodl.v20i4.4061
[15] Khan MSH, Abdou BO, Kettunen J, Gregory S. A Phenomenographic Research Study of Students’ Conceptions of Mobile Learning: An Example From Higher Education. SAGE Open. July 2019. https://doi.org/10.1177/2158244019861457
[16] Nielsen, J., (1993). Usability engineering. Boston: Academic Press.