Login

PENGETAHUAN TEKNOLOGI DAN INFRASTRUKTUR DIGITAL TERHADAP TINGKAT PENGGUNAAN E-WALLET DI UMKM KOTA BAUBAU

Vol. 5 No. 01 (2025): AT TARIIZ : JURNAL EKONOMI DAN BISNIS ISLAM:

Nur Zarliani Uli (1), Muh Azwar Anas (2), Fahlil Akbar Uli (3)

(1) Universitas Muhammadiyah Buton, Indonesia
(2) Universitas Muhammadiyah Buton, Indonesia
(3) Universitas Muhammadiyah Buton, Indonesia
Fulltext View | Download

Abstract:

This study examines the influence of technological knowledge and digital infrastructure on the level of E-Wallet and QRIS usage among Micro, Small, and Medium Enterprises (MSMEs) in Baubau City. The rapid development of digital payment systems has created opportunities for MSMEs to improve transaction efficiency, yet adoption remains uneven due to varying levels of technological understanding and infrastructure readiness. Using a quantitative approach, data were collected through Likert-scale questionnaires distributed to MSME respondents. The analysis employs multiple linear regression to measure the partial and simultaneous effects of the independent variables. The results are expected to show that technological knowledge—such as the ability to operate digital applications—and digital infrastructure, including internet quality and device availability, significantly influence the use of digital payment systems. This study contributes theoretically to digital finance adoption research and provides practical insights for MSMEs, local governments, and digital service providers in enhancing payment digitization

References

Ajzen, I. (1991). THE THEORY OF PLANNED BEHAVIOR. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Bank Indonesia. (2023). STATISTIK SISTEM PEMBAYARAN INDONESIA. Jakarta: Bank Indonesia.

Bank Indonesia. (2024). BLUEPRINT SISTEM PEMBAYARAN INDONESIA (BSPI) 2025. Jakarta: Bank Indonesia.

Creswell, J. W. (2014). RESEARCH DESIGN: QUALITATIVE, QUANTITATIVE, AND MIXED METHODS APPROACHES (4th ed.). Thousand Oaks: Sage Publications.

Davis, F. D. (1989). PERCEIVED USEFULNESS, PERCEIVED EASE OF USE, AND USER ACCEPTANCE OF INFORMATION TECHNOLOGY. MIS Quarterly, 13(3), 319–340.

Ghozali, I. (2018). APLIKASI ANALISIS MULTIVARIATE DENGAN PROGRAM IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). MULTIVARIATE DATA ANALYSIS (7th ed.). New Jersey: Pearson Education.

Likert, R. (1932). A TECHNIQUE FOR THE MEASUREMENT OF ATTITUDES. Archives of Psychology, 140, 1–55.

Nguyen, T. T. H., Nguyen, N. T., & Nguyen, T. P. (2022). DIGITAL PAYMENT ADOPTION AMONG SMES: THE ROLE OF TECHNOLOGICAL READINESS AND INFRASTRUCTURE. Journal of Small Business and Enterprise Development, 29(5), 789–807.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). MOBILE PAYMENT: UNDERSTANDING THE DETERMINANTS OF CUSTOMER ADOPTION AND INTENTION TO RECOMMEND THE TECHNOLOGY. Computers in Human Behavior, 61, 404–414.

Parasuraman, A. (2000). TECHNOLOGY READINESS INDEX (TRI): A MULTIPLE-ITEM SCALE TO MEASURE READINESS TO EMBRACE NEW TECHNOLOGIES. Journal of Service Research, 2(4), 307–320.

Rahayu, R., & Day, J. (2017). E-COMMERCE ADOPTION BY SMES IN DEVELOPING COUNTRIES: EVIDENCE FROM INDONESIA. Eurasian Business Review, 7(1), 25–41.

Rogers, E. M. (2003). DIFFUSION OF INNOVATIONS (5th ed.). New York: Free Press.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. MIS Quarterly, 27(3), 425–478.

Wilhelm, A. G., Schlömer, T., & Maurer, F. (2017). MEASURING ICT READINESS FOR DIGITAL TRANSFORMATION. Telecommunications Policy, 41(9), 737–750.