Artificial Intelligence (AI) Architecture for Integrated Smart Digital Banking System

Authors

Bambang Sugiharto , Harkim , Rejekia V Simanungkalit , Ilhamsyah Siregar , Maya Andriani

DOI:

10.29303/jppipa.v9i10.4645

Published:

2023-10-25

Issue:

Vol. 9 No. 10 (2023): October

Keywords:

Artificial, Banking, Integrated, Intelligence, Smart System

Review

Downloads

How to Cite

Sugiharto, B. ., Harkim, Simanungkalit, R. V. ., Siregar, I. ., & Andriani, M. . (2023). Artificial Intelligence (AI) Architecture for Integrated Smart Digital Banking System. Jurnal Penelitian Pendidikan IPA, 9(10), 876–882. https://doi.org/10.29303/jppipa.v9i10.4645

Downloads

Metrics

PDF views
434
Oct 25 '23Oct 28 '23Oct 31 '23Nov 01 '23Nov 04 '23Nov 07 '23Nov 10 '23Nov 13 '23Nov 16 '23Nov 19 '23Nov 22 '235.0
|

Abstract

Using artificial intelligence, physicists have condensed a daunting quantum problem that until recently required 100,000 equations into a task of as few as four equations - all without sacrificing accuracy. Artificial intelligence is becoming the most current achievement of the computing world. The human brain is to some extent represented and spliced with the ability to solve problems. The purpose of this study is to describe in detail how the power of artificial intelligence with its complex system can help the needs of digital technology in the banking sector. The research method used is the elaboration of great thoughts and facts about artificial intelligence. Scientific data is interpreted with analytical power that is as precise as possible, so as to produce a description that meets the logic of structured thinking. The data is taken from relevant and up-to-date literature, the work of scientists who have been disseminated in various weighty scientific publications at the world level. The results of the study found how artificial intelligence has folded the complexity of the problem into a simple solution. Artificial intelligence in the banking world becomes an instrument that integrates consumers, smartphones, databases, security systems, financial services authorities, agencies, law enforcement officers, and various derivative digital systems.

References

Aggarwal, A., Mittal, M., & Battineni, G. (2021). Generative adversarial network: An overview of theory and applications. International Journal of Information Management Data Insights, 1(1). https://doi.org/10.1016/j.jjimei.2020.100004

Ashta, A., & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance. Strategic Change, 30(3), 211–222. https://doi.org/10.1002/jsc.2404

Benlala, M. A. (2022). Artificial intelligence in the modern banking and financial industry (Applications, Risks, Policies and Regulations). Industrial Economics Journal –Khezzartech, 12(2). 49-66. http://dspace.univ-batna.dz/xmlui/handle/123456789/3975

Cao, L., Yang, Q., & Yu, P. S. (2021). Data science and AI in FinTech: an overview. International Journal of Data Science and Analytics, 12(2), 81–99. https://doi.org/10.1007/s41060-021-00278-w

Caruso, L. (2018). Digital innovation and the fourth industrial revolution: epochal social changes? AI & Society, 33(3), 379–392. https://doi.org/10.1007/s00146-017-0736-1

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

De Silva, D., & Alahakoon, D. (2022). An artificial intelligence life cycle: From conception to production. Patterns, 3(6). https://doi.org/10.1016/j.patter.2022.100489

Dominic, P. D. D., Goh, K. N., Wong, D., & Chen, Y. Y. (2010). The importance of service quality for competitive advantage--with special reference to industrial product. International Journal of Business Information Systems, 6(3), 378–397. https://doi.org/10.1504/IJBIS.2010.035051

Fatihah, D. C., & Saidah, I. S. (2021). Model Promosi Marketplace Berbasis Artificial Inteligence (AI) di Indonesia. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis Dan Inovasi Universitas Sam Ratulangi), 8(3), 806–817. https://doi.org/10.35794/jmbi.v8i3.35908

Hoffmann-Riem, W. (2020). Artificial intelligence as a challenge for law and regulation. Regulating Artificial Intelligence, 1–29. https://doi.org/10.1007/978-3-030-32361-5_1

Hu, Z. (2020). Research on fintech methods based on artificial intelligence. Journal of Physics: Conference Series, 1684(1). https://doi.org/10.1088/1742-6596/1684/1/012034

Katib, I., Assiri, F. Y., Althaqafi, T., AlKubaisy, Z. M., Hamed, D., & Ragab, M. (2023). Hybrid Hunter--Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society. Electronics, 12(16), 3429. https://doi.org/10.3390/electronics12163429

Kato, Y. (2020). AI/Fintech and Asset Management Businesses. Public Policy Review, 16(4), 1–28.

Korteling, J. E. (Hans), van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human-versus artificial intelligence. Frontiers in Artificial Intelligence, 4, 622364. https://doi.org/10.3389/frai.2021.622364

Kumari, P. (2021). Role of Artificial Intelligence (AI) in Marketing. IEEE Women In Engineering,VIT.

Lane, M., & Williams, M. (2023). Defining and classifying AI in the workplace. OECD Social, Employment and Migration Working Papers, 20. https://doi.org/10.1787/59e89d7f-en

Locatelli, R., Pepe, G., & Salis, F. (2022). The Validation of AI Techniques. In Artificial Intelligence and Credit Risk: The Use of Alternative Data and Methods in Internal Credit Rating, 65–79. https://doi.org/10.1007/978-3-031-10236-3_4

Mhlanga, D. (2020). Industry 4.0 in finance: the impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3), 1–14. https://doi.org/10.3390/ijfs8030045

Mishra, S., & Tyagi, A. K. (2022). The role of machine learning techniques in internet of things-based cloud applications. Artificial Intelligence-Based Internet of Things Systems, 105–135. https://doi.org/10.1007/978-3-030-87059-1_4

Nirwana, A. (2023). Implementation of Artificial Intelligence in Digital Marketing Development : a Thematic Review and Practical Exploration. Jurnal Manajemen Bisnis, Akuntansi dan Keuangan, 2(1), 85–112. https://doi.org/10.55927/jambak.v2i1.4034

O.E.C.D. (2021). Artificial Intelligence, Machine Learning and Big Data in Finance: Opportunities, Challenges, and Implications for Policy Makers. In OECD Business and Finance Outlook 2020 : Sustainable and Resilient Finance. Retrieved from https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf

Santoso, W., Sitorus, P. M., Batunanggar, S., Krisanti, F. T., Anggadwita, G., & Alamsyah, A. (2020). Talent mapping: a strategic approach toward digitalization initiatives in the banking and financial technology (FinTech) industry in Indonesia. Journal of Science and Technology Policy Management, 12(3), 399–420. https://doi.org/10.1108/JSTPM-04-2020-0075

Setiawan, T. (2016). Indonesia and the Asean Economic Community: a Tussle Between Human and Culture in the Regional Materialism Sublimation. Addin, 10(2), 283. https://doi.org/10.21043/addin.v10i2.1185

Sığırcı, Ö. (2021). Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions. Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, 342-365. https://doi.org/10.4018/978-1-7998-6985-6.ch016

Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2020). Artificial intelligence in business: from research and innovation to market deployment. Procedia Computer Science, 167, 2200–2210. https://doi.org/10.1016/j.procs.2020.03.272

Tiago, M. T. P. M. B., & Veríssimo, J. M. C. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703–708. https://doi.org/10.1016/j.bushor.2014.07.002

Umamaheswari, S., Valarmathi, A., & others. (2023). Role of Artificial Intelligence in The Banking Sector. Journal of Survey in Fisheries Sciences, 10(4S), 2841–2849. https://doi.org/10.17762/sfs.v10i4S.1722

Van Dinter, R., Tekinerdogan, B., & Catal, C. (2021). Automation of systematic literature reviews: A systematic literature review. Information and Software Technology, 136, 106589. https://doi.org/10.1016/j.infsof.2021.106589

Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002

Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971

Author Biographies

Bambang Sugiharto, Management Study Program, Universitas Pembinaan Masyarakat Indonesia .

Harkim, Sekolah Tinggi Ilmu Ekonomi Profesional Indonesia Medan (STEKPI), Medan

Rejekia V Simanungkalit, Sekolah Tinggi Ilmu Ekonomi Profesional Indonesia Medan (STEKPI), Medan

Ilhamsyah Siregar, Sekolah Tinggi Ilmu Ekonomi Profesional Indonesia

Maya Andriani, Sekolah Tinggi Ilmu Ekonomi Profesional Indonesia

License

Copyright (c) 2023 Bambang Sugiharto, Harkim, Rejekia V Simanungkalit, Ilhamsyah Siregar, Maya Andriani

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).