PENGARUH PENGGUNAAN LIVIN' BY MANDIRI TERHADAP KEMUDAHAN LAYANAN KEUANGAN PADA MAHASISWA MANAJEMEN UNIVERSITAS NEGERI MEDAN ANGKATAN 2025
DOI:
https://doi.org/10.47353/bj.v6i4.664Keywords:
Livin’ by Mandiri, Mobile Banking, Ease of Access to Financial Services, Technology Acceptance Model, Management StudentsAbstract
The digital banking revolution has brought about fundamental changes in the way people access financial services, including amongst university students, a demographic group with a high rate of technology adoption. This study aims to analyse the impact of using the Livin’ by Mandiri app on the perceived ease of access to financial services among students on the Management Programme at the State University of Medan, intake year 2025. The study employs a quantitative approach using a survey design, involving 120 respondents selected through purposive sampling. Data collection was carried out using a five-point Likert scale questionnaire that had been tested for validity and reliability. The independent variables in this study included ease of use of the interface, system reliability, completeness of service features, and transaction security, whilst the dependent variable was the ease of financial services, measured based on user perceptions. Data analysis was performed using multiple linear regression with the aid of SPSS version 26 software. The results indicate that, taken together, all independent variables have a significant effect on the ease of financial services (F = 47.83; p < 0.01). When analysed individually, ease of use of the interface makes the largest contribution (β = 0.421; p < 0.01), followed by service feature completeness (β = 0.318; p < 0.01), transaction security (β = 0.276; p < 0.05), and system reliability (β = 0.201; p < 0.05). The coefficient of determination (R²) of 0.743 indicates that 74.3% of the variation in the ease of financial services can be explained by these four variables. The findings of this study have important implications for the development of digital banking services tailored to the needs of the student segment.
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Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2020). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Ananda, S., & Rizal, M. (2021). Analisis persepsi keamanan dan kepercayaan terhadap adopsi mobile banking di kalangan mahasiswa Indonesia. Jurnal Ekonomi dan Bisnis Digital, 1(2), 45–61. https://doi.org/10.47065/jebid.v1i2.234
Bank Indonesia. (2023). Laporan Statistik Sistem Pembayaran dan Infrastruktur Pasar Keuangan 2022. Bank Indonesia. https://www.bi.go.id/id/statistik/sistem-pembayaran/default.aspx
Bank Mandiri. (2022). Annual Report 2021: Wholesale Transformation and Digital Banking. PT Bank Mandiri (Persero) Tbk. https://ir.bankmandiri.co.id/annual-report
Bank Mandiri. (2023). Laporan Keberlanjutan 2022: Digitalisasi untuk Kemajuan Bersama. PT Bank Mandiri (Persero) Tbk. https://ir.bankmandiri.co.id/sustainability-report
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/research-design/book255675
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. World Bank Group. https://doi.org/10.1596/978-1-4648-1897-4
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. https://www.cengage.com/c/multivariate-data-analysis-8e-hair
Kusumah, R. W., Kusmaningrum, D., & Pramono, A. (2021). Dampak pandemi COVID-19 terhadap transformasi perilaku transaksi digital mahasiswa Indonesia. Jurnal Manajemen dan Bisnis, 10(2), 112–128. https://doi.org/10.30656/jmb.v10i2.4521
Laukkanen, T. (2020). Mobile banking. In The Routledge Companion to Financial Services Marketing (2nd ed., pp. 286–299). Routledge. https://doi.org/10.4324/9781315545189
Murinde, V., Rizopoulos, E., & Zachariadis, M. (2022). The impact of the FinTech revolution on the future of banking: Opportunities and risks. International Review of Financial Analysis, 81, 102103. https://doi.org/10.1016/j.irfa.2022.102103
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill. https://archive.org/details/psychometrictheo00nunn
Otoritas Jasa Keuangan. (2023). Survei Nasional Literasi dan Inklusi Keuangan 2022. OJK Indonesia. https://www.ojk.go.id/id/berita-dan-kegiatan/siaran-pers/Pages/Survei-Nasional-Literasi-dan-Inklusi-Keuangan-2022.aspx
Ozili, P. K. (2022). Digital financial inclusion. In Digital Financial Inclusion: Promoting Financial Inclusion through Digitization (pp. 1–24). Springer. https://doi.org/10.1007/978-3-031-04248-7_1
Pratama, B. A., & Wijaya, T. (2023). Pengaruh kualitas layanan dan fitur aplikasi Livin' by Mandiri terhadap kepuasan pengguna di Kota Jakarta. Jurnal Ilmu Manajemen dan Bisnis, 14(1), 78–95. https://doi.org/10.17509/jimb.v14i1.56721
Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
Rahayu, S., & Nugraha, H. (2022). Pengaruh kemudahan penggunaan dan kepercayaan terhadap kepuasan pengguna mobile banking: Studi pada mahasiswa Universitas Padjadjaran. Jurnal Akuntansi dan Keuangan, 24(2), 88–103. https://doi.org/10.9744/jak.24.2.88-103
Raza, S. A., Shah, N., & Ali, M. (2021). Acceptance of mobile banking in Islamic banks: Evidence from modified UTAUT model. Journal of Islamic Marketing, 10(1), 357–376. https://doi.org/10.1108/JIMA-04-2017-0038
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. https://www.simonandschuster.com/books/Diffusion-of-Innovations-5th-Edition/Everett-M-Rogers/9780743222099
Shaikh, A. A., & Karjaluoto, H. (2020). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. https://doi.org/10.1016/j.tele.2014.05.003
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
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. https://doi.org/10.2307/30036540
Widyastuti, D., & Haryono, A. (2022). Pola adopsi mobile banking pada generasi Z di perguruan tinggi negeri Indonesia: Sebuah studi komparatif. Jurnal Teknologi Informasi dan Komunikasi Terapan, 8(1), 34–51. https://doi.org/10.26760/jtikat.v8i1.6789
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