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Abstract

QRIS, or Quick Response Code Indonesian Standard, represents one of the key evolutions in the payment system in Indonesia, utilizing QR Code technology to enhance payment system efficiency. QRIS has gained popularity in supporting payment systems in Indonesia and ensuring the velocity of money within the country. The velocity of money plays an important role in enhancing the effectiveness of monetary policy through its influence on the predictability of major monetary aggregates and money demand. This study aims to analyze the impact of QRIS usage on the velocity of money in Indonesia. The study employs a quantitative approach, using quarterly time series data (2019 Q1 - 2023 Q4) and incorporating several additional variables that can influence the velocity of money. The findings indicate that QRIS affects the velocity of money in the long term, as demonstrated through the Error Correction Model, a method capable of analyzing both short-term and long-term economic phenomena and evaluating the consistency of empirical models with economic theory. Based on these empirical results, it is recommended that the government of Indonesia enhance QRIS infrastructure to foster greater confidence and trust among citizens, thereby accelerating transactions.

Keywords

QRIS Electronic Money Velocity of money Real income Exchange rates

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Copyright (c) 2025 Muhammad Fadhil, Taufiq C. Dawood, Chenny Seftarita

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Fadhil, M., Dawood, T. C., & Seftarita, C. (2025). The Analysis of QRIS Usage and Its Impact on the Velocity of Money in Indonesia. Grimsa Journal of Business and Economics Studies, 2(2), 104–112. https://doi.org/10.61975/gjbes.v2i2.53
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References

  1. Najib M, Fahma F. Investigating the Adoption of Digital Payment System through an Extended Technology Acceptance Model: An Insight from the Indonesian Small and Medium Enterprises. International Journal on Advanced Science, Engineering and Information Technology 2020;10:1702–8. https://doi.org/10.18517/ijaseit.10.4.11616.
  2. Hardi I, Afjal M, Khan M, Idroes GM, Noviandy TR, Utami RT. Economic Freedom and Growth Dynamics in Indonesia: An Empirical Analysis of Indicators Driving Sustainable Development. Cogent Economics & Finance 2024;12. https://doi.org/10.1080/23322039.2024.2433023.
  3. Anshari M, Almunawar MN, Masri M. An Overview of Financial Technology in Indonesia. Financial Technology and Disruptive Innovation in ASEAN 2020:216–24.
  4. Ulfah CF, Suriani S. Digital Economy Dynamics: How E-Money, Debit Cards, Inflation, and Exchange Rates Shape Money Demand Stability in Indonesia. Grimsa Journal of Business and Economics Studies 2024;2:39–51. https://doi.org/10.61975/gjbes.v2i1.37.
  5. Muksalmina M, Ahmadsyah I, Dianah A. Understanding E-Money Preferences Among Students: A Case Study at FEBI UIN Ar-Raniry, Banda Aceh, Indonesia. Grimsa Journal of Business and Economics Studies 2023;1:1–11. https://doi.org/10.61975/gjbes.v1i1.11.
  6. Prawitasari D, Badiani FD, Rachmawati SD, Ningrum FP, Mufidah NL. QRIS in Indonesia: A Comprehensive Literature Review on Adoption, Challenges, and Opportunities. Revenue: Jurnal Manajemen Bisnis Islam 2024;5:91–102. https://doi.org/10.24042/revenue.v5i1.22760.
  7. Hasibuan AN, Fadhillah A, Setyono J, Windari W. Determinant of Intention to Use the Quick Response Code Indonesian Standard at Indonesian Sharia Bank. Journal of Hunan University Natural Sciences 2024;51. https://doi.org/10.55463/issn.1674-2974.51.8.4.
  8. Lisana L. Factors Influencing the Adoption of Mobile Payment Systems in Indonesia. International Journal of Web Information Systems 2021;17:0–10. https://doi.org/10.1108/IJWIS-01-2021-0004.
  9. Noviandy TR, Hardi I, Idroes GM. Forecasting Bank Stock Trends Using Artificial Intelligence: A Deep Dive into the Neural Prophet Approach. The International Journal of Financial Systems 2024;2:29–56. https://doi.org/10.61459/ijfs.v2i1.41.
  10. Rachman A, Julianti N, Arkoyah S. Challenges and Opportunities for QRIS Implementation as a Digital Payment System in Indonesia. EkBis: Jurnal Ekonomi Dan Bisnis 2024;8:1–13. https://doi.org/10.14421/EkBis.2024.8.1.2134.
  11. Nida R, Alfirdaus Z. Driving Economic Growth via QRIS Adoption in Indonesia with Trust Moderating Variable. 2024 3rd Int. Conf. Creat. Commun. Innov. Technol., IEEE; 2024, p. 1–6. https://doi.org/10.1109/ICCIT62134.2024.10701217.
  12. Susanti M, Kresnha Reza H. Added Value and Ease of Using Quick Responses Qris Indonesian Standard (QRIS). International Journal of Science, Technology & Management 2022;3:715–23. https://doi.org/10.46729/ijstm.v3i3.518.
  13. Ahassan TF, Blokhina T, Kouadio JA. Financial Innovation: The Impact of Mobile Money on Innovative Economic Growth, 2021, p. 27–38. https://doi.org/10.1007/978-981-16-0953-4_3.
  14. Nita NA, Bangsawan S, Pandjaitan DRH. MSME Business Growth in Indonesia: is the Indonesian Standard Quick Response Code (QRIS) a Major Factor? INOVASI: Jurnal Ekonomi, Keuangan, Dan Manajemen 2024;20:257–70. https://doi.org/10.30872/jinv.v20i2.1770.
  15. Gunawan H, Sinaga BL, WP SP. Assessment of the Readiness of Micro, Small and Medium Enterprises in Using E-Money Using the Unified Theory of Acceptance and Use of Technology (UTAUT) Method. Procedia Computer Science 2019;161:316–23. https://doi.org/10.1016/j.procs.2019.11.129.
  16. Bank Indonesia. Uang Elektronik (Electronic Money) 2009. https://peraturan.bpk.go.id/Details/135361/peraturan-bi-no-1112pbi2009-tahun-2009.
  17. Bank Indonesia. Perubahan atas Peraturan Bank Indonesia Nomor 11/12/PBI/2009 tentang Uang Elektronik (Electronic Money) 2014. https://peraturan.bpk.go.id/Details/135364/peraturan-bi-no-168pbi2014-tahun-2014.
  18. Suling CF, Nurmandi A, Muallidin I, Purnomo EP, Kurniawan D. The Use of AI to Develop Smart Infrastructure in Indonesia, 2022, p. 208–17. https://doi.org/10.1007/978-3-031-05463-1_15.
  19. Ray S, Hardi I. Refining ESG Disclosure’s Role in Corporate Economic, Environmental, and Social Sustainability Performance. Indatu Journal of Management and Accounting 2024;2:1–8. https://doi.org/10.60084/ijma.v2i1.144.
  20. Muzzakar K, Syahnur S, Abrar M. Provincial Real Economic Growth in Indonesia: Investigating Key Factors Through Spatial Analysis. Ekonomikalia Journal of Economics 2023;1:40–50. https://doi.org/10.60084/eje.v1i2.66.
  21. Mishkin FS. The Economics of Money, Banking, and Financial Markets. Pearson education; 2007.
  22. Fisher D, Serletis A. Velocity and the Growth of Money in the United States, 1970–1985. Journal of Macroeconomics 1989;11:323–32. https://doi.org/10.1016/0164-0704(89)90061-X.
  23. Ikhsan S, Hamzani U, Desyana G, Indah DP. The Impact of QRIS Payment Usage on Business Income Growth in MSMEs. Kompak: Jurnal Ilmiah Komputerisasi Akuntansi 2024;17:450–9. https://doi.org/10.51903/kompak.v17i2.2178.
  24. Benati L. Money Velocity and the Natural Rate of Interest. Journal of Monetary Economics 2020;116:117–34. https://doi.org/10.1016/j.jmoneco.2019.09.012.
  25. Nampewo D, Opolot J. Financial Innovations and Money Velocity in Uganda. African Development Review 2016;28:371–82. https://doi.org/10.1111/1467-8268.12218.
  26. Sun S. Does Transaction Velocity of Money Work on GDP? An Empirical Study. SSRN Electronic Journal 2002. https://doi.org/10.2139/ssrn.340281.
  27. Khan REA, Gill AR. Velocity of Money in Pakistan: Time Series Analysis. Актуальні Проблеми Економіки 2013:396–403.
  28. Mubin S, Pambudi SA. Analysis the Effect of Electronic Money Use on Velocity of Money: Evidence from Indonesia. Jurnal Ilmu Ekonomi Terapan 2020;5:42.
  29. Kraft PW, Key EM, Lebo MJ. Hypothesis Testing with Error Correction Models. Political Science Research and Methods 2022;10:870–8. https://doi.org/10.1017/psrm.2021.41.
  30. Putra HA, Fijay AH, Suriani S, Seftarita C, Ringga ES, Wintara H, et al. Understanding Short-Term and Long-Term Price Fluctuations of Main Staple Food Commodities in Aceh Province, Indonesia: An ARDL Investigation. Ekonomikalia Journal of Economics 2023;1:26–32. https://doi.org/10.60084/eje.v1i1.50.
  31. Domowitz I, Elbadawi I. An Error-Correction Approach to Money Demand. Journal of Development Economics 1987;26:257–75. https://doi.org/10.1016/0304-3878(87)90029-0.
  32. Oyadeyi OO. The Velocity of Money and Lessons for Monetary Policy in Nigeria: An Application of the Quantile ARDL Approach. Journal of the Knowledge Economy 2024. https://doi.org/10.1007/s13132-024-02201-7.
  33. Hardi I, Ali N, Duwal N, Devi NC, Mardayanti U, Idroes GM. Business Confidence in Indonesia: Which Macroeconomic Factors Have Long-Term Impact? Indatu Journal of Management and Accounting 2024;2:40–54. https://doi.org/10.60084/ijma.v2i1.203.
  34. Hardi I, Ray S, Duwal N, Idroes GM, Mardayanti U. Consumer Confidence and Economic Indicators: A Macro Perspective. Indatu Journal of Management and Accounting 2024;2:81–95. https://doi.org/10.60084/ijma.v2i2.241.
  35. Naufal A, Fikriah F. Regional Nexus of Economic Growth, Income Inequality and Poverty. Ekonomikalia Journal of Economics 2023;1:61–8. https://doi.org/10.60084/eje.v1i2.114.
  36. Hardi I, Idroes GM, Utami RT, Dahlia P, Mirza MAF, Humam RA, et al. Dynamic Impact of Inflation and Exchange Rate in Indonesia’s Top 10 Market Capitalization Companies: Implications for Stock Prices. Indatu Journal of Management and Accounting 2023;1:51–9. https://doi.org/10.60084/ijma.v1i2.110.
  37. Garini FA, Majid MSA, Suriani S. Foreign Investment, Domestic Savings, and Exchange Rates as Drivers of Per Capita Income and Financial Sector Development in OIC Countries. Grimsa Journal of Business and Economics Studies 2024;2:15–25. https://doi.org/10.61975/gjbes.v2i1.42.
  38. Ciptowati L, Setiawan D. An Analysıs of QRIS Usage Behavıor Usıng UTAUT Approach. Asia Pacific Management and Business Application 2024;13:19–36. https://doi.org/10.21776/ub.apmba.2024.013.01.2.
  39. Naeem M, Hameed M, Taha MS. A Study of Electronic Payment System. IOP Conference Series: Materials Science and Engineering 2020;767:012008. https://doi.org/10.1088/1757-899X/767/1/012008.
  40. Widayat W, Masudin I, Satiti NR. E-Money Payment: Customers’ Adopting Factors and the Implication for Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity 2020;6:57. https://doi.org/10.3390/joitmc6030057.