Analysis of User Acceptance Towards The Implementation of Information Systems in Financial Institutions Using Technology Readiness and Acceptance Model Approach

Main Article Content

Lucky Mahesa Yahya
Ahmad Rasyiddin
Muhlasin
Selli Mariko
Iwan Harsono

Abstract

This research aims to measure the influence of user acceptance and readiness on implementing information systems. Researchers conducted this research using a quantitative approach. Researchers collected samples using a multi-stage purposive sampling strategy. There were one hundred participants in the study's sample. This study used two data collection methods: unstructured interviews were conducted to gather supporting data for the research, and questionnaires were distributed to get primary data. Inferential statistical analysis was performed in this study utilizing the PLS-SEM approach with SmartPLS. At this point, two analyses, the measurement model analysis, and the structural model analysis, must be completed. These findings indicate that sentiments of optimism and inventiveness positively impact opinions about the advantages and usability of information systems. This factor encourages users' interest in accepting or continuing to use the information system so that it will have a good influence on its implementation. On the other hand, user discomfort in using information systems tends to negatively influence assessments of the benefits and ease of use of information systems. User discomfort in using information systems hinders users' interest in using the information system, which impedes implementing the information system. The insecurity factor did not influence the assessment of the benefits and ease of use of information systems. These findings have several differences from previous research.

Article Details

How to Cite
Mahesa Yahya, L., Rasyiddin, A., Muhlasin, Mariko, S., & Harsono, I. (2024). Analysis of User Acceptance Towards The Implementation of Information Systems in Financial Institutions Using Technology Readiness and Acceptance Model Approach. Jurnal Informasi Dan Teknologi, 6(1), 112-117. https://doi.org/10.60083/jidt.v6i1.483
Section
Articles

References

[1] Aisyah, M. N., Nugroho, M. A., & Sagoro, E. M, “The Influence of Technology Readiness on the Acceptance of Computer Technology in MSMEs in Yogyakarta,” Jurnal Economia, vol. 10, no. 2, pp. 105-119, 2014.
[2] Sudirjo, F., Ratna Tungga Dewa, D. M., Indra Kesuma, L., Suryaningsih, L., & Yuniarti Utami, E. (2024). Application of The User Centered Design Method To Evaluate The Relationship Between User Experience, User Interface and Customer Satisfaction on Banking Mobile Application. Jurnal Informasi Dan Teknologi, 6(1), 7-13. https://doi.org/10.60083/jidt.v6i1.465
[3] Darwanto, D, “Strategy for Strengthening Sharia Microfinance Based on Institutional Economics,” Inferensi, vol. 8, no. 2, pp. 501-522, 2014.
[4] Fatkhuri, Dharmawan, D., Desty Febrian, W., Karyadi, S., & Sani, I. (2024). Application of Heuristic Evaluation Method to Evaluate User Experience and User Interface of Personnel Management Information Systems to Improve Employee Performance. Jurnal Informasi Dan Teknologi, 6(1), 14-20. https://doi.org/10.60083/jidt.v6i1.466
[5] Tannady, H., Dewi, C. S., & Gilbert. (2024). Exploring Role of Technology Performance Expectancy, Application Effort Expectancy, Perceived Risk and Perceived Cost On Digital Behavioral Intention of GoFood Users. Jurnal Informasi Dan Teknologi, 6(1), 80-85. https://doi.org/10.60083/jidt.v6i1.477
[6] Tannady, H., Andry, J. F., & Nurprihatin, F. (2020, March). Determinants factors toward the performance of the employee in the crude palm oil industry in West Sumatera, Indonesia. In IOP Conference Series: Materials Science and Engineering (Vol. 771, No. 1, p. 012066). IOP Publishing.
[7] Handayani, R, "Analysis of Factors that Influence Interest in Using Information Systems and Use of Information Systems (Empirical Study of Manufacturing Companies on the Jakarta Stock Exchange)," Jurnal Akuntansi Keuangan, vol. 9, no. 2, pp. 76-87, 2017.
[8] Andry, J. F., Tannady, H., & Gunawan, F. E. (2020). Purchase order information system using feature driven development methodology. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1107-1112.
[9] Nurprihatin, F., Jayadi, E. L., & Tannady, H. (2020). Comparing heuristic methods' performance for pure flow shop scheduling under certainand uncertain demand. Management and production engineering review.
[10] Parasuraman, A., & Colby, C. L, "An updated and streamlined technology readiness index: TRI 2.0," Journal of service research, vol. 18, no. 1, pp. 59-74, 2015.
[11] Gunawan, F. E., Wilujeng, F. R., Rembulan, G. D., & Tannady, H. (2020). Service quality analysis of smes tempe in province of Jakarta, Indonesia. Technology Reports of Kansai University, 62(7), 3827-3833.
[12] Tannady, H., Andry, J. F., Gunawan, F. E., & Mayseleste, J. (2020). Enterprise architecture artifacts enablers for it strategy and business alignment in forwarding services. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1465-1472.
[13] Xu, X., Zhang, W., & Barkhi, R, "IT infrastructure capabilities and IT project success: a development team perspective," Information Technology and Management, vol. 11, no. 3, pp. 123-142, 2020.
[14] D. K. Pramudito, A. Nuryana, S. Assery, H. Purnomo, and A. Ady Bakri, "Application of Unified Theory of Acceptance, Use of Technology Model and Delone & Mclean Success Model to Analyze Use Behavior in Mobile Commerce Applications", jidt, vol. 5, no. 3, pp. 1-6, Aug. 2023.
[15] D. K. Pramudito, S. Arijanti, A. Yanto RUkmana, D. S. Oetomo, and K. Kraugusteeliana, "The Implementation of End User Computing Satisfaction and Delone & Mclean Model to Analyze User Satisfaction of M.TIX Application", jidt, vol. 5, no. 3, pp. 7-12, Aug. 2023.
[16] D. U. Iswavigra and L. Endriani Zen, “Systematic Literature Review: Pengaplikasian Metode VIKOR dalam Decision Support System”, jidt, vol. 5, no. 3, pp. 13-19, Aug. 2023.
[17] F. Salomo Leuwol, A. Ady Bakri, M. N. Bailusy, H. Setia Putra, and N. K. Sukanti, "Implementation of Gradient Boosted Tree, Support Vector Machinery and Random Forest Algorithm to Detecting Financial Fraud in Credit Card Transactions", jidt, vol. 5, no. 3, pp. 26-30, Aug. 2023.
[18] D. P. Sinambela, H. Naparin, M. Zulfadhilah, and N. Hidayah, “Implementasi Algoritma Decision Tree dan Random Forest dalam Prediksi Perdarahan Pascasalin ”, jidt, vol. 5, no. 3, pp. 58-64, Sep. 2023.
[19] D. K. Pramudito, S. Achmady, D. M. Ratna Tungga Dewa, T. Pitri, and D. M. Candrasari Hermanto, “The Application of Technology-Organization-Environment Framework to Analyze SME Readiness in Using Digital Payment Applications”, jidt, vol. 5, no. 3, pp. 95-90, Nov. 2023.
[20] R. Ramadhana, B. V. Izaac, G. W. Tangka, and J. Y. Mambu, “Information Technology Governance Analysis Using the COBIT 2019 Framework at PT. Daya Adicipta Wisesa”, jidt, vol. 5, no. 3, pp. 141-146, Nov. 2023.