Pengaruh Digital Financial Literacy, Perceived Enjoyment, Self-Efficacy, Social Influence, dan Facilitating Conditions terhadap Use Behavior QRIS pada Generasi Z di Kota Bekasi
DOI:
https://doi.org/10.69693/ijmst.v4i3.14031Keywords:
Digital Financial Literacy, Perceived Enjoyment, Self-Efficacy, Social Influence, Facilitating Conditions, Use Behavior, QRISAbstract
Pertumbuhan pembayaran digital menjadikan Quick Response Code Indonesian Standard (QRIS) metode transaksi yang semakin banyak dipakai, tetapi intensitas penggunaannya pada Generasi Z belum merata. Penelitian ini bertujuan menganalisis pengaruh digital financial literacy, perceived enjoyment, self-efficacy, social influence, dan facilitating conditions terhadap use behavior QRIS pada Generasi Z di Kota Bekasi berdasarkan kerangka Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Data dikumpulkan melalui kuesioner daring dari 200 responden yang dipilih dengan purposive sampling, yaitu Generasi Z berusia 17 sampai 29 tahun yang berdomisili di Kota Bekasi dan pernah menggunakan QRIS. Instrumen terdiri atas 41 pernyataan berskala Likert lima poin yang dinyatakan valid dan reliabel. Data dianalisis dengan regresi linear berganda menggunakan IBM SPSS Statistics 26. Hasil menunjukkan bahwa kelima variabel berpengaruh positif dan signifikan terhadap use behavior QRIS secara parsial, dan secara simultan menjelaskan 62,4% variasi perilaku penggunaan (F = 64,283; p < 0,001). Social influence memiliki koefisien terbesar (B = 0,300), sedangkan digital financial literacy memiliki koefisien terkecil (B = 0,100). Temuan ini memperkuat UTAUT2 dalam menjelaskan perilaku penggunaan QRIS. Penyedia layanan dan Bank Indonesia disarankan memadukan edukasi literasi keuangan digital, pengalaman pengguna yang menyenangkan, dukungan fasilitas, dan pemanfaatan pengaruh lingkungan sosial untuk mendorong penggunaan QRIS yang berkelanjutan.
References
1. Antaranews. (2026). BI: Transaksi QRIS capai 12,55 miliar pada semester I 2026. https://www.antaranews.com/berita/5682285/bi-transaksi-qris-capai-1255-miliar-pada-semester-i-2026
2. Anwar, M. M. (2025). How digital financial literacy and social media usage build saving behavior among Generation Z. Asia-Pacific Journal of Business Administration. https://doi.org/10.1108/APJBA-04-2025-0329
3. Apriadi, F., & Chaidir, T. (2024). Generation Z's decision to use QRIS in Mataram City: UTAUT model. Journal of Economics, Finance and Management Studies, 7(5), 2426–2435. https://doi.org/10.47191/jefms/v7-i5-18
4. Asaif, J. M., Suripto, S., Wardianto, K. B., & Wulandari, J. (2025). The influence of digital financial literacy, perceived ease of use, perceived usefulness, social and political on the intention and use behavior of using QRIS as a payment system in traditional retail. The Eastasouth Journal of Social Science and Humanities, 2(3), 302–312. https://doi.org/10.58812/esssh.v2i03.587
5. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
6. Bank Indonesia. (2024). Bank Indonesia initiates digital talent development to improve financial literacy.
7. Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473–481.
8. Chhillar, N., Sharma, K., & Arora, S. (2025). Exploring the role of digital financial literacy and personal financial behavior in shaping financial stress and well-being in the digital age. Acta Psychologica, 259, Article 105308. https://doi.org/10.1016/j.actpsy.2025.105308
9. Ciptowati, L., & Setiawan, D. (2024). An analysis of QRIS usage behavior using UTAUT approach. APMBA (Asia Pacific Management and Business Application), 13(1), 19–36. https://doi.org/10.21776/ub.apmba.2024.013.01.2
10. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
11. Fadli, J. A., Indradewa, R., & Yudistria, Y. (2024). Measuring the level of digital financial literacy among Generation Y and Z in Indonesia. Jurnal Ilmiah Manajemen Kesatuan, 12(5), 1891–1898. https://doi.org/10.37641/jimkes.v12i5.2813
12. Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157. https://doi.org/10.1108/ajeb-10-2020-0085
13. Febriani, N. K. D., Utami, N. W., & Putri, I. G. A. P. D. (2023). Analisis behavioral intention dan use behavior Quick Response Code Indonesian Standard (QRIS) pada UMKM dengan metode UTAUT 2 di Kota Denpasar. Jurnal Ilmiah Teknologi Informasi Asia, 17(1), 67–82. https://doi.org/10.32815/jitika.v17i1.890
14. Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26. Universitas Diponegoro.
15. Golden, W., & Cordie, L. (2022). Digital financial literacy. Adult Literacy Education: The International Journal of Literacy, Language, and Numeracy, 4(3), 20–26. https://doi.org/10.35847/wgolden.lcordie.4.3.20
16. GoodStats.id. (2024). QRIS, metode pembayaran andalan Gen Z dan milenial. https://goodstats.id/article/qris-metode-pembayaran-andalan-gen-z-dan-milenial-54Cpb
17. GoodStats.id. (2025). Bukan QRIS, ini metode pembayaran favorit konsumen Indonesia 2025. https://goodstats.id/article/bukan-qris-ini-metode-pembayaran-terfavorit-konsumen-indonesia-2025-dTAuU
18. Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate Behavioral Research, 26(3), 499–510.
19. Gun, M. (2020). Pentingnya uji asumsi klasik pada analisis regresi linier berganda (studi kasus penyusunan persamaan allometrik kenari muda [Canarium indicum L.]). BAREKENG: Jurnal Ilmu Matematika dan Terapan, 14(3), 335.
20. Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The effect of using cashless (QRIS) on daily payment transactions using the technology acceptance model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557
21. Heijden, H. van der. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
22. Hidayat, A. R., & Kartini. (2026). The influence of fintech literacy and technology acceptance on the intention and usage behavior of QRIS in daily transactions. Journal Development Manecos, 4(1), 40–57. https://doi.org/10.71435/734473
23. Katadata.id. (2026). Volume transaksi belanja uang elektronik RI meroket 56% pada kuartal I 2026. https://databoks.katadata.co.id/keuangan/statistik/6a3de2dac932a/volume-transaksi-belanja-uang-elektronik-ri-meroket-56-pada-kuartal-i-2026
24. Linge, A. A., Chaudhari, T., Kakde, B. B., & Singh, M. (2023). Analysis of factors affecting use behavior towards mobile payment apps: A SEM approach. Human Behavior and Emerging Technologies, 2023, Article 3327994. https://doi.org/10.1155/2023/3327994
25. Lo Prete, A. (2022). Digital and financial literacy as determinants of digital payments and personal finance. Economics Letters, 213, Article 110378. https://doi.org/10.1016/j.econlet.2022.110378
26. Lonardi, H., & Legowo, N. (2021). Analysis of factors affecting use behavior of QRIS payment system in DKI Jakarta. Turkish Journal of Computer and Mathematics Education, 12(6), 3709–3728.
27. Lyons, A. C., & Kass-Hanna, J. (2021). A methodological overview to defining and measuring "digital" financial literacy. Financial Planning Review, 4(2), Article e1113. https://doi.org/10.1002/cfp2.1113
28. Magill, M., Meisel, S., Moniz-Lewis, D. I. K., Maisto, S., & Witkiewitz, K. (2025). Self-efficacy as a mechanism of behavior change in addiction science and practice. Current Addiction Reports, 12(1). https://doi.org/10.1007/s40429-025-00632-z
29. Motwani, K., Choubey, S., Saxena, A., & Patni, I. (2026). Generation Z's mobile payment adoption: Integrating UTAUT model and government initiative impacts. Journal of Innovation and Entrepreneurship, 15(1), 1–24. https://doi.org/10.1186/s13731-026-00658-1
30. Muchtar, E. H., Trianto, B., Maulana, I., Alim, M. N., Marasabessy, R. H., Hidayat, W., Junaedi, E., & Masrizal. (2024). Quick response code Indonesia standard (QRIS) e-payment adoption: Customers perspective. Cogent Business & Management, 11(1), 1–18. https://doi.org/10.1080/23311975.2024.2316044
31. Muhammad, F., Muhammad, F. L., & Ika, S. D. (2025). Expectancy, social influence, and facilitating conditions affecting QRIS use in Mataram. Eurasia: Economics & Business, 6, 15–26. https://doi.org/10.18551/econeurasia
32. Nuswantoro, S. A., Ulfi, M., Miftahurrizqi, & Rafli, M. (2024). Identification of factors influencing the use of QRIS using TAM and UTAUT 2 methods. Scientific Journal of Informatics, 11(2), 451–466. https://doi.org/10.15294/sji.v11i2.3562
33. Paramita, E. D., & Cahyadi, E. R. (2024). The determinants of behavioral intention and use behavior of QRIS as digital payment method using extended UTAUT model. Indonesian Journal of Business and Entrepreneurship, 10(1), 132. https://doi.org/10.17358/ijbe.10.1.132
34. Rahayu, R., Ali, S., Aulia, A., & Hidayah, R. (2022). The current digital financial literacy and financial behavior in Indonesian millennial generation. Journal of Accounting and Investment, 23(1), 78–94. https://doi.org/10.18196/jai.v23i1.13205
35. Ramayanti, R., Azhar, Z., & Nik Azman, N. H. (2025). Factors influencing intentions to use QRIS: A two-staged PLS-SEM and ANN approach. Telematics and Informatics Reports, 17, Article 100185. https://doi.org/10.1016/j.teler.2024.100185
36. Ramba, A. R., Pontoh, G. T., & Sundari, S. (2025). The effect of digital financial literacy, perceived enjoyment, self-efficacy and social influence on intention to use QRIS payment. Review of Integrative Business and Economics Research, 14(4), 155–173.
37. Rima, V. (2024). The determinant of financial self-efficacy in the decision to use QRIS (Quick Response Indonesian Standard) as a digital payment. International Journal of Current Economics & Business Ventures, 1(1), 10–19.
38. Salam, K. N., & Taufik, M. I. (2020). The effect of perceived enjoyment on the decision of digital payment utilization in millennial generation. Hasanuddin Economics and Business Review, 4(2), 50. https://doi.org/10.26487/hebr.v4i2.2442
39. Sawitri, N. L. P. W. (2025). Pengaruh self efficacy terhadap continous intention pengguna metode pembayaran digital berbasis TRITAM. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(2), 7922–7930. https://doi.org/10.31004/riggs.v4i2.2525
40. Seldal, M. M. N., & Nyhus, E. K. (2022). Financial vulnerability, financial literacy, and the use of digital payment technologies. Journal of Consumer Policy, 45(2), 281–306. https://doi.org/10.1007/s10603-022-09512-9
41. Setiawati, P. E., Inan, D. I., Wurahrah, R. N., Juita, R., & Sanglise, M. (2024). How the perceived enjoyment effect m-payment adoption in West Papua Province: DeLone and McLean information systems success model. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 9(3), 1494–1505. https://doi.org/10.29100/jipi.v9i3.5738
42. Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022
43. Sugiarto, A. H., Maria, E., & Nataliani, Y. (2026). Information systems adoption and use behavior of QRIS as a digital payment infrastructure among Generation Z. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 10(2), 709–724. https://doi.org/10.22437/jiituj.v10i2.54186
44. Syanova, R., & Fajar, A. N. (2024). Analysis of factors that influence use behavior of using QRIS payments for UMKM in Bekasi. Journal of Logistics, Informatics and Service Science, 11(7), 324–341. https://doi.org/10.33168/JLISS.2024.0717
45. Thatcher, J. B., Zimmer, J. C., Gundlach, M. J., & McKnight, D. H. (2008). Internal and external dimensions of computer self-efficacy: An empirical examination. IEEE Transactions on Engineering Management, 55(4), 628–644. https://doi.org/10.1109/TEM.2008.927825
46. Trianesti, G., & Balqiah, T. E. (2025). UTAUT2 model in increasing the intention to use digital payment of QRIS. Jurnal Ilmiah Manajemen Kesatuan, 13(4), 2839–2852. https://doi.org/10.37641/jimkes.v13i4.3430
47. Ulfert-Blank, A. S., & Schmidt, I. (2022). Assessing digital self-efficacy: Review and scale development. Computers & Education, 191, Article 104626. https://doi.org/10.1016/j.compedu.2022.104626
48. Underdown, K., & Tamara, D. (2025). Digital wallets: A study on the influence of consumer perceptions and attitudes on impulsive consumer behaviour. Frontiers in Human Dynamics, 7, 1–10. https://doi.org/10.3389/fhumd.2025.1545141
49. 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
50. 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, 36(1), 157–178. https://doi.org/10.2307/41410412
51. Wang, Y., Zhao, Y., Tian, X., Yang, J., & Luo, S. (2025). The influence of subjective knowledge, technophobia and perceived enjoyment on design students' intention to use artificial intelligence design tools. International Journal of Technology and Design Education, 35(1), 333–358. https://doi.org/10.1007/s10798-024-09897-3
52. Wibisono, A. C., & Susyani, N. (2026). Applying the unified theory of acceptance and use of technology (UTAUT) to analyze use behavior of the Quick Response Code Indonesian Standard (QRIS) among Generation Z in Bandung. Al-Kharaj: Journal of Islamic Economic and Business, 8(1). https://doi.org/10.24256/kharaj.v8i1.9570
53. Wibowo, N. A. P., & Sobari, N. (2023). The influence of behavioral intention, facilitating condition, and habit on use behavioral of QRIS: A study on mobile banking services. Gema Wiralodra, 14(3), 1243–1258. https://doi.org/10.31943/gw.v14i3.482
54. Widyastuti, U., Respati, D. K., Dewi, V. I., & Soma, A. M. (2024). The nexus of digital financial inclusion, digital financial literacy and demographic factors: Lesson from Indonesia. Cogent Business & Management, 11(1), Article 2322778. https://doi.org/10.1080/23311975.2024.2322778
55. Xu, J., Li, Y., Shadiev, R., & Li, C. (2025). College students' use behavior of generative AI and its influencing factors under the unified theory of acceptance and use of technology model. Education and Information Technologies, 30(14), 19961–19984. https://doi.org/10.1007/s10639-025-13508-6
56. Yanti, R. D., & Suryadi, E. (2024). The influence of financial literacy, financial self-efficacy and fintech payment on the financial behavior of QRIS users. International Journal of Science and Society, 6(1), 367–377. https://doi.org/10.54783/ijsoc.v6i1.1019
57. Zaimovic, A., Omanovic, A., Nuhic Meskovic, M., Arnaut-Berilo, A., Zaimovic, T., Dedovic, L., & Torlakovic, A. (2024). The nexus between digital financial knowledge and financial inclusion: Digital financial attitudes and behaviour as mediators enhancing financial inclusion. International Journal of Bank Marketing, 43(2), 388–423. https://doi.org/10.1108/IJBM-01-2024-0053
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