AUDIT TEKNOLOGI INFORMASI APLIKASI SISTEM PERSURATAN TERPADU (SIRANDU) DENGAN METODE TAM DAN WEBQUAL

  • Dewi Ayu Ariyani Universitas Stikubank Semarang
  • Dewi Handayani Untari Ningsih Universitas Stikubank Semarang
  • Dwi Budi Santoso Universitas Stikubank Semarang
  • Eri Zuliarso Universitas Stikubank Semarang

Abstract

In the rapidly evolving landscape of information technology, IT audits play a crucial role in ensuring that applications such as SIRANDU (Integrated Mailing System) adhere to quality standards and meet user acceptance criteria. This research investigates the determinants influencing users' overall evaluations of a website by employing a combined methodology of the Technology Acceptance Model (TAM) and Webqual. Data were gathered through online questionnaires administered via Google Forms to 100 users of the SIRANDU application. Structural Equation Modeling (SEM) analysis reveals significant positive impacts of usability, perceived usefulness, and attitude toward use on user intentions and actual system usage. Nevertheless, the overall assessment of the website remains inadequate. Recommendations include enhancing usability, improving information quality, and refining service interactions to augment user experience and satisfaction. Continuous evaluation and iterative enhancements are advocated to foster greater user satisfaction and broader adoption of the website.

Keywords: SIRANDU application, TAM, Webqual, SEM

References

Applying the Technology Adoption Model (TAM) to Explore Consumers’ Perceptions of Wearable Technology: A Multiple Case Study of an Ironman Triathlon Community: A Narrative Literature Review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3637423
Kusumadewi, A. N., Lubis, N. A., Prastiyo, R., & Tamara, D. (2021). Technology Acceptance Model (TAM) In The Use of Online Learning Applications During The Covid-19 Pandemic For Parents of Elementary School Students. Edunesia : Jurnal Ilmiah Pendidikan, 2(1). https://doi.org/10.51276/edu.v2i1.120
Liao, S., Hong, J. C., Wen, M. H., Pan, Y. C., & Wu, Y. W. (2018). Applying Technology Acceptance Model (TAM) to explore Users’ Behavioral Intention to Adopt a Performance Assessment System for E-book Production. Eurasia Journal of Mathematics, Science and Technology Education, 14(10). https://doi.org/10.29333/ejmste/93575
Lund, T. (2022). Research Problems and Hypotheses in Empirical Research. Scandinavian Journal of Educational Research, 66(7). https://doi.org/10.1080/00313831.2021.1982765
Malatji, W. R., van Eck, R., & Zuva, T. (2020). Understanding the usage, modifications, limitations and criticisms of technology acceptance model (TAM). Advances in Science, Technology and Engineering Systems, 5(6). https://doi.org/10.25046/aj050612
Mohajan, H. K. (2017). TWO CRITERIA FOR GOOD MEASUREMENTS IN RESEARCH: VALIDITY AND RELIABILITY. Annals of Spiru Haret University. Economic Series, 17(4). https://doi.org/10.26458/1746
Mohd Dzin, N. H., & Lay, Y. F. (2021). Validity and reliability of adapted self-efficacy scales in malaysian context using pls-sem approach. Education Sciences, 11(11). https://doi.org/10.3390/educsci11110676
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Shukla, S. (2020). Concept of population and sample. How to Write a Research Paper, June, 1–6. https://www.researchgate.net/publication/346426707_CONCEPT_OF_POPULATION_AND_SAMPLE
Taherdoost, H. (2018). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3205035
Thiele, C., & Hirschfeld, G. (2023). Confidence intervals and sample size planning for optimal cutpoints. PLoS ONE, 18(1 January). https://doi.org/10.1371/journal.pone.0279693
Yuan, K. H., Wen, Y., & Tang, J. (2023). Sensitivity Analysis of the Weights of the Composites Under Partial Least-Squares Approach to Structural Equation Modeling. Structural Equation Modeling, 30(1). https://doi.org/10.1080/10705511.2022.2106487
Published
2024-07-14
Abstract viewed = 14 times
PDF downloaded = 4 times