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Reseach Article

Analysis of Influence Factors on Acceptance of the Access by KAI System using Technology Acceptance Model Framework

by Kurnia Aji Prastya, Imam Riadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 41
Year of Publication: 2024
Authors: Kurnia Aji Prastya, Imam Riadi
10.5120/ijca2024924002

Kurnia Aji Prastya, Imam Riadi . Analysis of Influence Factors on Acceptance of the Access by KAI System using Technology Acceptance Model Framework. International Journal of Computer Applications. 186, 41 ( Sep 2024), 40-45. DOI=10.5120/ijca2024924002

@article{ 10.5120/ijca2024924002,
author = { Kurnia Aji Prastya, Imam Riadi },
title = { Analysis of Influence Factors on Acceptance of the Access by KAI System using Technology Acceptance Model Framework },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 41 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number41/analysis-of-influence-factors-on-acceptance-of-the-access-by-kai-system-using-technology-acceptance-model-framework/ },
doi = { 10.5120/ijca2024924002 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-30T23:02:32.009489+05:30
%A Kurnia Aji Prastya
%A Imam Riadi
%T Analysis of Influence Factors on Acceptance of the Access by KAI System using Technology Acceptance Model Framework
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 41
%P 40-45
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research aims to analyze applications transformed from KAI Access to Access by KAI from Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, and Behavior Intention. The main focus of this research is the people of Yogyakarta, aiming to analyze perceived usefulness, perceived ease of use, attitude toward use, and behavior intention in the analysis of the Access by KAI system. This quantitative research uses a questionnaire distributed to respondents in this study to obtain data. This study applies the TAM (Technology Acceptance Model) framework to analyze the use of Access by KAI. Data collection methods include literature reviews, observations, surveys, and interviews. Survey questions were based on TAM literature and distributed to Access by KAI users. Data validity was tested using several instruments, such as validity tests, reliability tests, and classical assumption tests, with recommendations prepared as a result. From the results of research and theories that have been developed, it was found that the independent value or VIF for perceived usefulness and perceived ease of use was 1.239, while for attitude toward using and behavioral intention, it was 1.000. These two values do not exceed 10, indicating the absence of multicollinearity problems. Thus, it can be concluded that the perceived ease of using the Access by KAI application updates has a positive impact. Several application users also reported the ease of purchasing train tickets online through the application.

References
  1. Laudon, KC, and Laudon, JP 2014. Management Information Systems Managing the Digital Firm (Thirteenth Edition, Global Edition). London: Pearson Education Limited.
  2. Rifaldi, A., Wicaksono, BT, and Putra, DF 2021. Analysis of the Influence of Trust, Application Quality, Perceived Usefulness on Intention to Purchase and Actual System Use (Case Study of the Kai Access Application). Eqien-Journal of Economics and Business, 8(2), 394-404.
  3. Annisawati, AA, and Ayuninda, AQ 2019. The Influence of Consumer Attitudes and Perceptions on Interest in Using the KAI Access Application at PT Kereta Api Indonesia Using the Technology Acceptance Model Approach (TAM). Pro Mark, 9(2), 9-9.
  4. Kuspriyanto, K., Utomo, SW, and Murwani, J. 2020. Review of the Technology Acceptance Model (TAM) on Train Ticket Purchase Decisions. In FIPA: Accounting Education Scientific Forum 8(1), 1-8.
  5. Fitriana, Y., and Indriyanti, AD, 2021. User Acceptance of Mobile Ticketing Services with the TAM and TRA Approach (Case Study: KAI Access). Journal of Information and Computer Science. 02(03), 245251.
  6. Darma, B. (2021). Research Statistics Using SPSS (Validity Test, Reliability Test, Simple Linear Regression, Multiple Linear Regression, t-test, F Test, R2). Guepedia.
  7. Dwijayani, H., Septian, JR, and Harinie, LT 2022. Influence of Perceptions of Use, Efficiency, Effective for Ease of Ordering Train ETicketing. Journal of Public Power, 6(1), 59-65.
  8. Elisa, Winarno, A., and Dewi, TS, 2023. Influence Ease of Use and Experience Consumers' Intention to Repurchase Train Tickets via KAI Access with Satisfaction as a Mediating Variable (Study of KAI Access Users in Malang). Journal of Economics and Business. 1(4), 305-312.
  9. Nugroho, K. 2016. Prediction Analysis Model Using the Fuzzy Time Series Method. Infokam Scientific Journal, 12(1).
  10. Pasaribu, AFO 2021. Pattern Analysis Using the C4.5 Method for Students' Major Specialization Based on the Curriculum (Case Study: SMAN 1 Natar). Journal of Information Technology and Systems, 2(1), 80-85.
  11. Sallaby, AF, & Kanedi, I. 2020. Designing a Doctor's Schedule Information System Using the CodeIgniter Framework. Media Journal Infotama, 16 (1).
  12. Inventory Information Systems in Beauty Salons. Mantik Penusa Journal, 3(3).
  13. Putra, DWT, & Andriani, R. 2019. Unified Modeling Language (UML) in designing an information system for requests for SPPD restitution payments. Technological Journal of Information Engineering, Padang Institute of Technology, 7(1), 32-39.
  14. Irwansyah, E., & Moniaga, JV 2014. Introduction to Information Technology. Yogyakarta: Deepublish.
  15. Aka, KA 2017. Utilization of Information and Communication Technology (ICT) as a Form of Innovation in Learning Resources in Elementary Schools. ELSE (Elementary School Education Journal): Journal of School Education and Learning Elementary, 1(2a).
  16. Harinowo, C; Purwita, T., Wibowo, Wiko, Garuda, Primiana, Ina, Sutaryono, Paul, Augusta, Frans, 2019. The Rise of BUMN in the Transportation Sector. Jakarta: Gramedia Pustaka Utama.
  17. Hamami, N. 2023. Soft Launching Access by KAI, KAI Improves KAI Access Features and Services. It will be recognized in November 2023
  18. Tambun, S., Sitorus, RR, & Pramudya, TA 2020. The Influence of Technology Acceptance Model and Digital Taxation on Taxpayer Compliance with Internet Understanding as a Moderating Variable. Balance Vocational Accounting Journal, 4(1), 1.
  19. Purwanto, E., & Budiman, V. 2020. Applying the technology acceptance model to investigate the intention to use e-health: a conceptual framework. Technology Reports of Kansai University, 62(05), 2569-2580.
  20. Harris, I. 2017. Analysis of the Technology Acceptance Model (TAM) on the level of acceptance of learning among students (empirical study at Batam International University and UPBJJUT Batam). Journal of Applied Management and Business, 3(1), 195534.
  21. Wicaksono, RW 2020. Basic Theory of Technology Acceptance Model. Malang: A Thousand Stars.
  22. Janna, Nilda Miftahul. 2020. "Concept of Validity and Reliability Testing Using SPSS. Article: Darul Dakwah Wal-Irsyad (DDI) Islamic College (STAI). Makassar.
  23. Lee, C., & Wan, G. 2010. Including subjective norms and technology trust in the technology acceptance model: a case of e-ticketing in China. ACM SIGMIS Database: The Database for Advances in Information Systems, 41 (4), 4051.
  24. Kuncoro, M. 2013. Research Methods for Business and Economics 4th Edition. Jakarta: Erlangga.
  25. Wiratna, S. 2015. Business and Economic Research Methodology. Yogyakarta: New Library.
Index Terms

Computer Science
Information Sciences

Keywords

Perceived Usefulness Perceived Ease of Use Attitude Toward Using and Behavior Intention