Analysis of E-learning user Acceptance using the Technology Acceptance Model (TAM) and end-User Computing Satisfaction (EUCS)

Authors

  • Nur Alamsyah Fakultas Teknik dan Informatika, Universitas Informatika dan Bisnis Indonesia
  • Budiman Fakultas Teknik dan Informatika, Universitas Informatika dan Bisnis Indonesia
  • Titan Parama Fakultas Teknik dan Informatika, Universitas Informatika dan Bisnis Indonesia

DOI:

https://doi.org/10.55927/fjas.v2i8.5405

Keywords:

TAM, EUCS, E-LEaning

Abstract

This research aims to analyse the acceptance of E-Learning among students of Universitas Informatika dan Bisnis Indonesia by using Technology Acceptance Model (TAM) and End-User Computing Satisfaction (EUCS) approaches, which are often used by researchers to examine user acceptance and satisfaction with technology. The results of this study indicate that the influence between the variables Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Content, Accuracy, Format, Timeliness, Ease and User Satisfaction obtained a total value of 29,140 and on the continuum line shows that it is in the Very Good category. The results in this study also prove that there are 6 (six) accepted hypotheses and 3 (three) hypotheses that are not accepted. This result can be used as a suggestion for E-Learning Universitas Informatika dan Bisnis Indonesia to evaluate shortcomings in user satisfaction, as well as maintaining existing quality.

Downloads

Download data is not yet available.

References

S. J. Barnes, ‘Information management research and practice in the post-COVID-19 world’, Impact COVID-19 Pandemic Inf. Manag. Res. Pract. Editor. Perspect., vol. 55, p. 102175, Dec. 2020, doi: 10.1016/j.ijinfomgt.2020.102175.

M. Abu Talib, A. M. Bettayeb, and R. I. Omer, ‘Analytical study on the impact of technology in higher education during the age of COVID-19: Systematic literature review’, Educ. Inf. Technol., vol. 26, no. 6, pp. 6719–6746, Nov. 2021, doi: 10.1007/s10639-021-10507-1.

A. K. M. I. Bhuiyan, N. Sakib, A. H. Pakpour, M. D. Griffiths, and M. A. Mamun, ‘COVID-19-Related Suicides in Bangladesh Due to Lockdown and Economic Factors: Case Study Evidence from Media Reports’, Int. J. Ment. Health Addict., vol. 19, no. 6, pp. 2110–2115, Dec. 2021, doi: 10.1007/s11469-020-00307-y.

R. Falatah, ‘The Impact of the Coronavirus Disease (COVID-19) Pandemic on Nurses’ Turnover Intention: An Integrative Review’, Nurs. Rep., vol. 11, no. 4, pp. 787–810, 2021, doi: 10.3390/nursrep11040075.

S. F. Pane, Heriyanto, A. G. Putrada, N. Alamsyah, and M. N. Fauzan, ‘The Influence of The COVID-19 Pandemics in Indonesia On Predicting Economic Sectors’, in 2022 Seventh International Conference on Informatics and Computing (ICIC), Dec. 2022, pp. 1–6. doi: 10.1109/ICIC56845.2022.10006897.

M. A. Almaiah, A. Al-Khasawneh, and A. Althunibat, ‘Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic’, Educ. Inf. Technol., vol. 25, no. 6, pp. 5261–5280, Nov. 2020, doi: 10.1007/s10639-020-10219-y.

M. M. Shahabadi and M. Uplane, ‘Synchronous and Asynchronous e-learning Styles and Academic Performance of e-learners’, Int. Educ. Technol. Conf. IETC 2014 3-5 Sept. 2014 Chic. IL USA, vol. 176, pp. 129–138, Feb. 2015, doi: 10.1016/j.sbspro.2015.01.453.

S. Oviatt, A. Cohen, and N. Weibel, ‘Multimodal Learning Analytics: Description of Math Data Corpus for ICMI Grand Challenge Workshop’, in Proceedings of the 15th ACM on International Conference on Multimodal Interaction, in ICMI ’13. New York, NY, USA: Association for Computing Machinery, 2013, pp. 563–568. doi: 10.1145/2522848.2533790.

G. S. Mason, T. R. Shuman, and K. E. Cook, ‘Comparing the Effectiveness of an Inverted Classroom to a Traditional Classroom in an Upper-Division Engineering Course’, IEEE Trans. Educ., vol. 56, no. 4, pp. 430–435, 2013, doi: 10.1109/TE.2013.2249066.

S. F. Persada et al., ‘How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education’, Sustainability, vol. 14, no. 22, 2022, doi: 10.3390/su142215288.

W. Erpurini, A. G. Putrada, N. Alamsyah, S. F. Pane, and M. Nurkamal Fauzan, ‘Confirmatory Factor Analysis for The Impact of Students’ Social Medial on University Digital Marketing’, in 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 2023, pp. 615–620. doi: 10.1109/ICCoSITE57641.2023.10127744.

S. F. Pane, R. R. Fajri, A. G. Putrada, N. Alamsyah, M. N. Fauzan, and R. M. Awangga, ‘Non-Academic Factors Analysis Impacting Students’ Online Learning During the COVID-19 Pandemic in Universitas Logistic and Bisnis Internasional’, in 2022 2nd International Conference on Intelligent Cybernetics Technology &

Applications (ICICyTA), 2022, pp. 144–149. doi: 10.1109/ICICyTA57421.2022.10037986.

T. L. Mardhi Suryanto, E. K. Dian Ningtias, E. M. Safitri, N. C. Wibowo, A. Faroqi, and A. Pratama, ‘Acceptance of Virtual Campus Tour Using the TAM Approach: a Case Study in UPN Veteran Jawa Timur, Indonesia’, in 2021 IEEE 7th Information Technology International Seminar (ITIS), 2021, pp. 1–6. doi: 10.1109/ITIS53497.2021.9791791.

E. W. L. Cheng, ‘Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM)’, Educ. Technol. Res. Dev., vol. 67, no. 1, pp. 21–37, Feb. 2019, doi: 10.1007/s11423-018-9598-6.

A. Shuhaiber and I. Mashal, ‘Understanding users’ acceptance of smart homes’, Technol. Soc., vol. 58, p. 101110, Aug. 2019, doi: 10.1016/j.techsoc.2019.01.003.

R. K. Ahmed, O. Ahmed, I. Pappel, and D. Draheim, ‘E-Court System Evaluation through the User’s Perspective: Applying the End-User Computing Satisfaction (EUCS) Model’, in DG.O 2022: The 23rd Annual International Conference on Digital Government Research, in dg.o 2022. New York, NY, USA: Association for Computing Machinery, 2022, pp. 293–299. doi: 10.1145/3543434.3543560.

Wala Erpurini, Nur Alamsyah, and Rimbun Kencana, ‘Pengaruh Kualitas Produk dan Kualitas Pelayanan Terhadap Kepuasan Konsumen dan Dampaknya Pada Kepercayaan Konsumen Lazada’, Ekon. Keuang. Investasi Dan Syariah EKUITAS, vol. 3, no. 4, May 2022, doi: 10.47065/ekuitas.v3i4.1524.

O. A. Odunlami, D. A. Vershima, T. E. Oladimeji, S. Nkongho, S. K. Ogunlade, and B. S. Fakinle, ‘Advanced techniques for the capturing and separation of CO2 – A review’, Results Eng., vol. 15, p. 100512, Sep. 2022, doi: 10.1016/j.rineng.2022.100512.

I. Lounassalo et al., ‘Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review’, BMC Public Health, vol. 19, no. 1, p. 271, Mar. 2019, doi: 10.1186/s12889-019-6513-y.

C. H. Sudre et al., ‘Attributes and predictors of long COVID’, Nat. Med., vol. 27, no. 4, pp. 626–631, Apr. 2021, doi: 10.1038/s41591-021-01292-y.

S. Campbell et al., ‘Purposive sampling: complex or simple? Research case examples’, J. Res. Nurs., vol. 25, no. 8, pp. 652–661, Dec. 2020, doi: 10.1177/1744987120927206.

N. Wilson, ‘THE IMPACT OF PERCEIVED USEFULNESS AND PERCEIVED EASE-OF-USE TOWARD REPURCHASE INTENTION IN THE INDONESIAN E-COMMERCE INDUSTRY’, J. Manaj. Indones. Vol 19 No 3 2019 J. Manaj. Indones., 2019, doi: 10.25124/jmi.v19i3.2412.

T. Zhang, D. Tao, X. Qu, X. Zhang, R. Lin, and W. Zhang, ‘The roles of initial trust and perceived risk in public’s acceptance of automated vehicles’, Transp. Res. Part C Emerg. Technol., vol. 98, pp. 207–220, Jan. 2019, doi: 10.1016/j.trc.2018.11.018.

M. Al-Emran, I. Arpaci, and S. A. Salloum, ‘An empirical examination of continuous intention to use m-learning: An integrated model’, Educ. Inf. Technol., vol. 25, no. 4, pp. 2899–2918, Jul. 2020, doi: 10.1007/s10639-019-10094-2.

N. Al-Qaysi, N. Mohamad-Nordin, and M. Al-Emran, ‘What leads to social learning? Students’ attitudes towards using social media applications in Omani higher education’, Educ. Inf. Technol., vol. 25, no. 3, pp. 2157–2174, May 2020, doi: 10.1007/s10639-019-10074-6.

L. M. Putri, I. Aknuranda, and A. Rachmadi, ‘Analisis Kepuasan Pengguna Learning Management System (LMS) Si-Prestasi menggunakan End User Computing Satisfaction (EUCS) (Studi pada SMP Negeri 1 Pace)’.

N. L. Rachmawati and D. Krisbiantoro, ‘EVALUASI KEPUASAN PENGGUNA SISTEM E-LEARNING MENGGUNAKAN METODE END USER COMPUTING SATISFACTION: STUDI KASUS : UNIVERSITAS AMIKOM PURWOKERTO’, J. Inf. Syst. Manag. JOISM, vol. 3, no. 1, pp. 1–7, Jul. 2021, doi: 10.24076/joism.2021v3i2.473.

C. Barrows et al., ‘The IEEE Reliability Test System: A Proposed 2019 Update’, IEEE Trans. Power Syst., vol. 35, no. 1, pp. 119–127, 2020, doi: 10.1109/TPWRS.2019.2925557.

N. Alamsyah, W. Erpurini, and F. Setiawan, ‘Rancang Bangun Sistem Informasi Geografis Berbasis Website Untuk Pemetaan Objek Wisata Pada Dinas Kebudayaan Dan Pariwisata PadaKota Bandung’, J. Sains Sosio Hum., vol. 5, no. 1, pp. 544–552, 2021.

J. A. Kumar and B. Bervell, ‘Google Classroom for mobile learning in higher education: Modelling the initial perceptions of students’, Educ. Inf. Technol., vol. 24, pp. 1793–1817, 2019.

Downloads

Published

2023-08-29

How to Cite

Alamsyah, N., Budiman, & Titan Parama. (2023). Analysis of E-learning user Acceptance using the Technology Acceptance Model (TAM) and end-User Computing Satisfaction (EUCS). Formosa Journal of Applied Sciences, 2(8), 1873–1892. https://doi.org/10.55927/fjas.v2i8.5405

Issue

Section

Articles