UTAUT Model Analysis on the Use of Siplah (Survey to BOSP Treasurers Under the Auspices of Cadisdikwil VII West Java Province)
Abstract
Increasing technological progress in the world has helped people's activities, including upgrades related to technological adaptation. The reach and ease of digital accessibility is the result of adopting the latest technology. One of the activities in the world that applies digitalization is the buying and selling process, including PBJ (Procurement of Goods/Services) carried out by government agencies. This activity is regularly carried out, one of which is spending using BOSP (School Operational Assistance) funds at each state school, carried out using the SIPLah (System Information Procurement in Schools). The use of SIPLah was determined based on the Ministry of Education and Culture Regulation Number 14 of 2020 to safeguard the use of BOSP Funds. In line with its implementation, research efforts are needed regarding how good SIPLah technology is, so that it can be accepted by the BOSP Treasurer of each school as the main user. Among the latest research models that can be applied to determine the level of technological adaptation so that the BOSP Treasurer is willing to adopt SIPLah is the Unified Theory of Acceptance and Use of Technology (UTAUT). The research in this model consisted of four independent variables (Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions) used to test their influence on behavioral intentions and their consequences on use behavior. The research method used was a descriptive analysis of respondent responses and verification to determine the influence of all variables through path coefficients using census data. The respondents involved in the research were 57 treasurers of BOSP in the Bandung and Cimahi City areas, under the auspices of Cadisdikwil VII West Java. The results of the study concluded that the four independent variables influence behavioral intentions and have implications for use behavior. Suggestions based on the research results can be used by the Ministry of Education and Culture to improve SIPLah to make it more adaptive so that all transactions carried out by the BOSP Treasurer can use SIPLah.
Downloads
References
Abdillah, W., & Hartono, J. (2015). Partial least square (PLS) Alternatif structural equation modeling (SEM) dalam penelitian bisnis. Yogyakarta: Penerbit Andi, 22, 103–150.
AlBar, A. M., & Hoque, M. R. (2019). Factors affecting the adoption of information and communication technology in small and medium enterprises: A perspective from rural Saudi Arabia. Information Technology for Development, 25(4), 715–738. https://doi.org/10.1080/02681102.2017.1390437
Bervell, B., & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogeneous variables in higher education technology acceptance research. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6471–6490. https://doi.org/10.12973/ejmste/78076
Chao, C.-M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652. https://doi.org/10.3389/fpsyg.2019.01652
Dedehayir, O., Ortt, R. J., Riverola, C., & Miralles, F. (2017). Innovators and early adopters in the diffusion of innovations: A literature review. International Journal of Innovation Management, 21(08), 1740010. https://doi.org/10.1142/S1363919617400102
Dharmmesta, B. S., & Handoko, T. H. (2000). Marketing Management Consumer Behavior Analysis. Yogyakarta: BPE UGM.
Ghozali, I., & Latan, H. (2015). Concepts, techniques, applications using Smart PLS 3.0 for empirical research. BP Undip. Semarang.
Greenberg, J. (2020). Greenberg, Jeff. In Encyclopedia of Personality and Individual Differences (pp. 1835–1843). Springer.
Gregor, S. (2006). The nature of theory in information systems. MIS Quarterly, 611–642. https://doi.org/10.2307/25148742
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001
Indah, M., & Agustin, H. (2019). Penerapan model UTAUT (Unified Theory of Acceptance and Use of Technology) untuk memahami niat dan perilaku aktual pengguna Go-pay di kota Padang. Jurnal Eksplorasi Akuntansi, 1(4), 1949–1967. https://doi.org/scholar (25).ris
Kang, S. (2014). Factors influencing intention of mobile application use. International Journal of Mobile Communications, 12(4), 360–379. https://doi.org/10.1504/IJMC.2014.063653
Kotler, P., Armstrong, G., Saunders, J., & Wong, V. (1994). Marketing. GUIDA DELLA FACOLTA’DI ECONOMIA ANNO ACCADEMICO 2005/06 PROGRAMMI D’ESAME, 77.
Kotler, P., Keller, K. L., Brady, M., Goodman, M., & Hansen, T. (2016). Marketing Management 3rd edn PDF eBook. Pearson Higher Ed.
Liu, C.-H., Chen, Y.-T., Kittikowit, S., Hongsuchon, T., & Chen, Y.-J. (2022). Using unified theory of acceptance and use of technology to evaluate the impact of a mobile payment app on the shopping intention and usage behavior of middle-aged customers. Frontiers in Psychology, 13, 830842. https://doi.org/10.3389/fpsyg.2022.830842
Madigan, R., Louw, T., Dziennus, M., Graindorge, T., Ortega, E., Graindorge, M., & Merat, N. (2016). Acceptance of automated road transport systems (ARTS): an adaptation of the UTAUT model. Transportation Research Procedia, 14, 2217–2226. https://doi.org/10.1016/j.trpro.2016.05.237
Oktavianti, G. (2019). Pengantar Sistem Informasi. Mercu Buana University.
Paul, K. J., Musa, M., & Nansubuga, A. K. (2015). Facilitating condition for E-learning adoption—Case of Ugandan universities. Journal of Communication and Computer, 12(5), 244–249. https://doi.org/10.17265/1548-7709/2015.05.004
Paulo, M. M., Rita, P., Oliveira, T., & Moro, S. (2018). Understanding mobile augmented reality adoption in a consumer context. Journal of Hospitality and Tourism Technology, 9(2), 142–157. https://doi.org/10.1108/JHTT-01-2017-0006
Piarna, R., Fathurohman, F., & Purnawan, N. N. (2020). Understanding online shopping adoption: The unified theory of acceptance and the use of technology with perceived risk in millennial consumers context. JEMA: Jurnal Ilmiah Bidang Akuntansi Dan Manajemen, 17(1), 51–66. https://doi.org/10.31106/jema.v17i1.5050
Proctor, R. A. (1991). Marketing information systems. Management Decision, 29(4). https://doi.org/10.1108/00251749110141824
Rehman, A. U., Bashir, S., Mahmood, A., Karim, H., & Nawaz, Z. (2022). Does e-shopping service quality enhance customers’e-shopping adoption? An extended perspective of unified theory of acceptance and use of technology. Plos One, 17(2), e0263652. https://doi.org/10.1371/journal.pone.0263652
Shabrina, V. G. (2019). Pengaruh Revolusi Digital terhadap Pemasaran dan Perilaku Konsumen. Jurnal Pewarta Indonesia, 1(2), 131–141. https://doi.org/10.25008/jpi.v1i2.16
Soegesty, N. B., Fahmi, I., & Novianti, T. (2020). Kajian faktor yang memengaruhi adopsi sistem pijaman peer to peer lending. Jurnal Manajemen Teknologi, 19(1), 59–79.
Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. https://doi.org/10.3102/0034654308325896
Sugiyono, P. D. (2018). Quantitative, qualitative, and combination research methods (Mixed methods). Bandung: Alphabeta CV.
Sutanto, S., Ghozali, I., & Handayani, R. S. (2018). Faktor-faktor yang memengaruhi penerimaan dan penggunaan sistem informasi pengelolaan keuangan daerah (sipkd) dalam perspektif the unified theory of acceptance and use of technology 2 (utaut 2) di kabupaten semarang. Jurnal Akuntansi Dan Auditing, 15(1), 37–68. https://doi.org/10.14710/jaa.15.1.37-68
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: A structural equation modeling approach. Information Technology & People, 29(4), 830–849.
Udo, G., Bagchi, K., & Maity, M. (2016). Exploring factors affecting digital piracy using the norm activation and UTAUT models: The role of national culture. Journal of Business Ethics, 135, 517–541. https://doi.org/10.1007/s10551-014-2484-1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157–178. https://doi.org/10.2307/41410412
Wijaya, K., & Handriyantini, E. (2020). analisis faktor yang mempengaruhi behavioral intention pada online marketplace menggunakan model UTAUT (STUDI KASUS: SHOPEE). Prosiding Seminar SeNTIK, 4(1), 323–332.
Copyright (c) 2024 Panji Mustika Muhammad, Dani Dagustani

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.















