Regulatory Technology (RegTech): The Solution to Prevent Money Laundering in Indonesia

Alivia Meyrizka Utami, Mega Dwi Septivani


Since the 2008 financial crisis, the complexity of regulations and the use of technology and innovation in the financial sector have increased. This makes banks as financial institutions starting to adapt to financial technology very vulnerable to technological risks, one of which is money laundering. Regulatory Technology (RegTech) is a technology trend to assist bank management in supporting regulatory compliance efforts and offering money laundering prevention solutions. Based on this, this study aims to examine the relationship of RegTech, which is represented by three independent variables: Electronic Know Your Customer (e-KYC), Transaction Monitoring, and Time and Cost Efficiency, on Money Laundering Prevention. This study shows that transaction monitoring, as well as cost and time efficiency, have a significant effect on money laundering prevention. In contrast, e-KYC does not affect money laundering prevention. This research is intended to provide valuable insights to Financial Institutions to increase awareness of the importance of adopting new technologies and maintaining good relations with regulators to prevent money laundering in Indonesia.


Regulatory Technology; Pencucian Uang; Electronic Know Your Customer; Pemantauan Transaksi; Efisiensi Biaya dan Waktu


Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of Economics and Business, 100, 7–25.

Arner, D. W., Barberis, J., & Buckley, R. P. (2017). RegTech: Building a Better Financial System. Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1: Cryptocurrency, FinTech, InsurTech, and Regulation, 1, 359–373.

Bank for International Settlement. (2017). Basel Committee on Banking Supervision Consultative Document Sound Practices for the Management and Supervision of Operational Risk (Issue June).

Basel Institute on Governance (2020). Basel AML Index: 9th Public Edition Ranking Money Laundering and Terrorist Financing Risks around the World, Basel Institute on Governance.

Baxter, L. G. (2016). Adaptive financial regulation and regtech: A concept article on realistic protection for victims of bank failures. Duke Law Journal, 66(3), 567–604.

Brody, M., Lev, O., Taft, J. P., Wilkes, G., Bisanz, M., Shinohara, T., & Tsai, J. (2017). Three financial regulators issue reports on product and service innovations. Journal of Investment Compliance, 18(1), 84–91.

Butler, T., & Brooks, R. (2018). On the role of ontology-based regtech for managing risk and compliance reporting in the age of regulation. Journal of Risk Management in Financial Institutions, 11(1), 19–33.

Chao, X., Kou, G., Peng, Y., & Alsaadi, F. E. (2019). Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: A case from China. Technological and Economic Development of Economy, 25(6), 1081–1096.

Chen, Z., Van Khoa, L. D., Teoh, E. N., Nazir, A., Karuppiah, E. K., & Lam, K. S. (2018). Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review. Knowledge and Information Systems, 57(2), 245–285.

Cooper, D. R., & Schindler, P. S. (2013). Business Research Methods (Twelfth Ed). McGraw-Hill Companies.

Deloitte. (2019). Millennials in Industry 4.0: A Gift or a Threat to Indonesian Human Resources? September.

Duncan, P., Murphy, M., Man, M. S., Chaplin, K., Gaunt, D., & Salisbury, C. (2018). Development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ). BMJ Open, 8(4).

GSMA, Woodsome, J., & Pisa, M. (2019). Overcoming the Know Your Customer hurdle : Innovative solutions for the mobile money sector. 39.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis. In Pearson Education Limited (Seventh Ed). British Library Cataloguing-in-Publication Data.

Karsha, S.A. and Abufaraa, Y. (2020). “The new era of financial technology in banking industry”, Journal of Southwest Jiaotong University, Vol. 55 No. 4, pp. 1-13.

Kurum, E. (2020). RegTech solutions and AML compliance: what future for financial crime? Journal of Financial Crime.

Lootsma, Y. (2017). From Fintech To Regtech: The Possible Use Of Blockchain For Kyc. Fintech To Regtech Using Block Chain, 2–10.

Machkour, B., & Abriane, A. (2020). Industry 4.0 and its implications for the financial sector. Procedia Computer Science, 177, 496–502.

Meiryani, M., Soepriyanto, G., & Audrelia, J. (2022). Effectiveness of regulatory technology implementation in Indonesian banking sector to prevent money laundering and terrorist financing. Journal of Money Laundering Control, (ahead-of-print).

Miller, R. S., & Rosen, L. W. (2017). Anti - Money Laundering : An Overview for Congress.

Neal, R. W. (2021). How regtech is changing compliance at financial firms. 1/2

Neuman, W. L. (2013). Social Research Methods: Qualitative and Quantitative Approaches (Seventh Ed). Pearson Education Limited.

O’Reilly, M., & Khrisna, D. (2017). Regulatory productivity : Is there an answer ? In RegTech position paper.

Perlman, L. and Gurung, N. (2019). Focus note: the use of eKYC for customer identity and verification and AML.

Petrasic, K., Saul, B., & Lee, H. (2016). Regtech rising: Automating regulation for financial institutions.

PriceWaterhouseCoopers. (2008). Millennials at work: Reshaping the workplace. Pricewaterhouse Coopers International Limited (PwCIL), 1–28.

Repin, M., Mikhalsky, O. and Pshehotskaya, E. (2017). Architecture of transaction monitoring system of Central banks. Advances in Engineering Research, pp. 654-658.

Said, J., Erlane K. Ghani, Omar, N., & Yusuf, S. N. S. (2013). Money Laundering Prevention Measures among Commercial Banks in Malaysia Jamaliah Said. International Journal of Business and Social Science, 4(5), 227–235.

Silverberg, K., Portilla, A., French, C., & Liebergen, B. van. (2016). RegTech in Financial Services: Technology Solutions for Compliance and Reporting. Institute of International Finance (IIF), March, 1–25.

Tertychnyi, P., Godgildieva, M., Dumas, M., & Ollikainen, M. (2022). Time-aware and interpretable predictive monitoring system for Anti-Money Laundering. Machine Learning with Applications, 8(December 2021), 100306.

Turki, M., Hamdan, A., Cummings, R. T., Sarea, A., Karolak, M., & Anasweh, M. (2020). The regulatory technology “RegTech” and money laundering prevention in Islamic and conventional banking industry. Heliyon, 6(10).

Vaithilingam, S., & Nair, M. (2007). Factors affecting money laundering: lesson for developing countries. Journal of Money Laundering Control, 10(3), 352–366.

Vaithilingam, S., Nair, M., & Thiyagarajan, T. (2015). Managing Money Laundering in a Digital Economy. Journal of Asia-Pacific Business, 16(1), 44–65.

World Bank (2021), Principles on Identification for Sustainable Development, World Bank Group, Washington, DC.

Yang, Y.-P., & Tsang, C.-Y. (2018). Regtech and The New Era of Financial Regulators: Envisaging More Public-Private-Partnership Models of Financial Regulators. Journal of Business Law, 21(2), 354–404.

Zabelina, o. A., Vasiliev, A. A., & Galushkin, S. V. (2018). Regulatory Technologies in the AML/CFT. KnE Social Sciences, 3(2), 394.



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