Tinjauan Literatur Sistematis: Adopsi Hyperautomation dalam Pemrosesan Invoice dan Keuangan Berbasis Robotic Process Automation (RPA)

Husnul Hadah; Yustika Heti Handal; Alexandria Felicia Seanne; Britney Levina Sukma; Budi Tjahyono

doi:10.30998/jrami.v7i04.1450

Authors

Husnul Hadah Universitas Esa Unggul Author
Yustika Heti Handal Universitas Esa Unggul Author
Alexandria Felicia Seanne Universitas Esa Unggul Author
Britney Levina Sukma Universitas Esa Unggul Author
Budi Tjahyono Universitas Esa Unggul Author

DOI:

https://doi.org/10.30998/jrami.v7i04.1450

Keywords:

Invoice Processing, Document Intellegence, Artificial Intelligence (AI), Robotic Process Automation (RPA), Hyperautomation

Abstract

Digital transformation in financial systems has encouraged companies to implement automation to improve the speed, effectiveness, accuracy, and efficiency of business processes, particularly in financial and invoice management. However, manual processes still often cause delays and data entry errors. This study aims to analyze the implementation of end-to-end hyperautomation integrating Robotic Process Automation (RPA), Artificial Intelligence (AI), Document Intelligence, and other supporting technologies in financial and invoice automation processes, while identifying research gaps in its implementation. This study employs a Systematic Literature Review (SLR) method using the PRISMA approach on peer-reviewed empirical articles published between 2021 and 2026. Out of 45 identified articles, 20 were selected for further analysis. The findings reveal that studies on end-to-end hyperautomation implementation in financial and invoice processes remain very limited, while most existing studies still focus on partial automation technologies, such as RPA, OCR, or AI separately. These findings highlight a significant research gap in the comprehensive integration of hyperautomation, providing opportunities for developing more integrated automation models to enhance efficiency, effectiveness, and minimize human error in business processes.

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Author Biographies

Husnul Hadah, Universitas Esa Unggul

Husnul Hadah is a Master’s Student in Computer Science at Universitas Esa Unggul.
Yustika Heti Handal, Universitas Esa Unggul

Yustika Heti Handal is a Master’s Student in Computer Science at Universitas Esa Unggul.
Alexandria Felicia Seanne, Universitas Esa Unggul

Alexandria Felicia Seanne is a Master’s Student in Computer Science at Universitas Esa Unggul.
Britney Levina Sukma, Universitas Esa Unggul

Britney Levina Sukma is a Master’s Student in Computer Science at Universitas Esa Unggul.
Budi Tjahyono, Universitas Esa Unggul

Budi Tjahyono, Lecturer at Universitas Esa Unggul

References

Alla, P. B. (2026). Augmenting Intelligent Process Automation through Generative AI for Human-in-the-Loop Decision Systems. Digital Engineering, 8. https://doi.org/10.1016/j.dte.2025.100071

Alves Anet, Á., Jones, P., Quayle, K., di Simplicio, M., Kamboj, S. K., & Pitman, A. (2026). The classification of the sub-types of guilt experienced after suicide bereavement: thematic analysis of qualitative interview data. Current Research in Behavioral Sciences, 10, 100211. https://doi.org/10.1016/j.crbeha.2026.100211

Arangarajan, M., Gaikwad, K. D., Dharmani, M., Nathani, R., Joshi, R., & Hasan, M. F. (2024). Robotics and AI in Enhancing Banking Operations Efficiency. 2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences, IC3TES 2024. https://doi.org/10.1109/IC3TES62412.2024.10877528

Asatiani, A., Copeland, O., & Penttinen, E. (2023). Deciding on the robotic process automation operating model: A checklist for RPA managers. Business Horizons, 66(1), 109–121. https://doi.org/10.1016/j.bushor.2022.03.004

B.Bhuvaneswaran, Ajitha.B, & A, A. S. (2026). Agentic AI Driven - Automated Invoice Processing with Intelligent Document Understanding. 1714–1720. https://doi.org/10.1109/icacrs67045.2025.11324121

Chakraborty, S. (2026). Generative artificial intelligence in fifth-generation education systems: A systematic review. Engineering Applications of Artificial Intelligence, 173, 114463. https://doi.org/10.1016/j.engappai.2026.114463

Daoud, S., & Anaya, L. (2025). Implementation of Robotic Process Automation in Jordanian Banking Sector: Benefits and Challenges. Procedia Computer Science, 263, 471–480. https://doi.org/10.1016/j.procs.2025.07.057

Dhiman, A., Dimri, A., Walia, A., Agarwal, H., Lamba, V., & Singh, T. (2026). Robotic Process Automation on Employee Well-being. 2026 1st International Conference on Advancing Sustainable Solutions through Technologies (ICASST), 1–4. https://doi.org/10.1109/ICASST68917.2026.11484349

Diksha, & Kaur Sandhu, J. (2021). Robotic Process Automation for Prioritizing the Refund in Online Travel Agency. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2021, 1006–1011. https://doi.org/10.1109/ICACITE51222.2021.9404718

Dong, S. (2025). Financial Robot Task Allocation Based on RPA and Big Data Algorithms. Procedia Computer Science, 261, 557–565. https://doi.org/10.1016/j.procs.2025.04.245

Dragomirescu, O. A., Crăciun, P. C., & Bologa, A. R. (2025). Enhancing Invoice Processing Automation Through the Integration of DevOps Methodologies and Machine Learning. Systems, 13(2). https://doi.org/10.3390/systems13020087

Enriquez, J. G., Jimenez-Ramirez, A., Dominguez-Mayo, F. J., & Garcia-Garcia, J. A. (2020). Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study. IEEE Access, 8, 39113–39129. https://doi.org/10.1109/ACCESS.2020.2974934

Fischer, B., & Frennert, S. (2025). Towards an experiential ethics of AI and robots: A review of empirical research on human encounters. Technological Forecasting and Social Change, 219. https://doi.org/10.1016/j.techfore.2025.124264

Francis, S. A., & Sangeetha, M. (2025). A comparison study on optical character recognition models in mathematical equations and in any language. Results in Control and Optimization, 18. https://doi.org/10.1016/j.rico.2025.100532

Gavai, A. K., & Heringa, J. (2026). Agentic artificial intelligence in food science: From automation to adaptation. Food and Humanity, 6. https://doi.org/10.1016/j.foohum.2026.101132

Gomes, M., & Seruca, I. (2023). The perception of the management and lower-level employees of the impacts of using Robotic Process Automation: The case of a shared services company. Procedia Computer Science, 219, 129–138. https://doi.org/10.1016/j.procs.2023.01.273

Haleem, A., Javaid, M., Singh, R. P., Rab, S., & Suman, R. (2021). Hyperautomation for the enhancement of automation in industries. In Sensors International (Vol. 2). KeAi Communications Co. https://doi.org/10.1016/j.sintl.2021.100124

ICACR 2020 : 2020 4th International Conference on Automation, Control and Robots : October 11-13, 2020, Rome, Italy. (2020). IEEE.

Kappassova, S., & Maratova, A. (2025). A Hybrid Mobile-Cloud Architecture for Intelligent Document Processing. Procedia Computer Science, 272, 651–656. https://doi.org/10.1016/j.procs.2025.10.262

Kim, S. K., & Su, R. (2026). Advanced machine learning based surface defect detection systems. Results in Engineering, 30. https://doi.org/10.1016/j.rineng.2026.110511

Kovuri, K., Gaur, V., Hira, A. K., Azam, M. S., Kaparwan, R., & Ahmad, V. (2025). The Role of Robotic Process Automation in Computerized Accounting Workflows. 2025 IEEE International Conference on Advanced Computing Technologies, ICACT 2025, 112–117. https://doi.org/10.1109/ICACT67549.2025.11351479

Kumar, R., & Khanna, R. (2023). RPA (Robotic Process Automation) in Finance & Accounting and Future Scope. Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023, 1640–1645. https://doi.org/10.1109/ICAISS58487.2023.10250496

Lo, W., Yang, C. M., Zhang, Q., & Li, M. (2024). Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-powered IoE Services. Journal of Web Engineering, 23(1), 53–88. https://doi.org/10.13052/jwe1540-9589.2313

Ma, J., & Wang, R. (2023). RPA Financial Robot Boosts the Digital and Intelligent Transformation of Enterprise Finance. 2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023. https://doi.org/10.1109/ICDCECE57866.2023.10151192

MacHa, K. B. (2025). Robotic Process Automation in Accounting: Enhancing Efficiency and Accuracy. 2025 3rd International Conference on IoT, Communication and Automation Technology, ICICAT 2025. https://doi.org/10.1109/ICICAT68430.2025.11414744

Nanda, S. S. (2025). The Far-Reaching Impacts of Emerging Technologies in Accounting and Finance. In Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes (pp. 77–98). wiley. https://doi.org/10.1002/9781394271078.ch5

Nunes, I. D., Sánchez, M. E. S., & Thom, L. H. (2026). Limitations of RPA Implementations: Exploring the Barriers of Organizational Environments. In IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2026.3661717

Patricio, L., Avila, P., Varela, L., Cruz-Cunha, M. M., Ferreira, L. P., Bastos, J., Castro, H., & Silva, J. (2023). Literature review of decision models for the sustainable implementation of robotic process automation. Procedia Computer Science, 219, 870–878. https://doi.org/10.1016/j.procs.2023.01.362

Patricio, L., De Sousa Costa, C. R., Varela, L., & Cruz-Cunha, M. M. (2024). Literature review on the sustainable implementation of Robotic Process Automation (RPA) in medical and healthcare administrative services. Procedia Computer Science, 239, 166–176. https://doi.org/10.1016/j.procs.2024.06.159

Regona, M., Yigitcanlar, T., Xia, B., & Li, R. Y. M. (2022). Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review. Journal of Open Innovation: Technology, Market, and Complexity, 8(1). https://doi.org/10.3390/joitmc8010045

Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021). Robotic Process Automation and Artificial Intelligence in Industry 4.0 - A Literature review. Procedia Computer Science, 181, 51–58. https://doi.org/10.1016/j.procs.2021.01.104

Rohaime, N. A., Abdul Razak, N. I., Thamrin, N. M., & Shyan, C. W. (2022). Integrated Invoicing Solution: A Robotic Process Automation with AI and OCR Approach. 2022 IEEE 20th Student Conference on Research and Development, SCOReD 2022, 30–33. https://doi.org/10.1109/SCOReD57082.2022.9973841

Sailer, L. (2026). Explainable Artificial Intelligence in Finance: Mapping Business Problems and Technological Solutions. Finance Research Open, 100128. https://doi.org/10.1016/j.finr.2026.100128

Suryaningprang, A., Sudaryo, Y., Sumawidjaja, R. N., Siddiq, A. M., & Supiyadi, D. (2025). Optimizing The Financial Domain With Robotic Process Automation: Invoice Data Extraction. Jurnal Aplikasi Bisnis Dan Manajemen, 11(1), 255. https://doi.org/10.17358/jabm.11.1.255

Thekkethil, M. S., Shukla, V. K., Beena, F., & Chopra, A. (2021). Robotic Process Automation in Banking and Finance Sector for Loan Processing and Fraud Detection. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. https://doi.org/10.1109/ICRITO51393.2021.9596076

Tural, B., Orpek, Z., Destan, Z., Coskuner, I., Alkan, M. A., & Kazova, F. (2025). The Impact of New Technologies on Digital Transformation with RPA. ICHORA 2025 - 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings. https://doi.org/10.1109/ICHORA65333.2025.11017110

Ueasangkomsate, P., & Boonsripornchai, T. (2025). Robotic Process Automation and Employee Outcomes: A Quantitative Study of Role Changes, Work-Life Balance, and Job Opportunity. Procedia CIRP, 136, 3–8. https://doi.org/10.1016/j.procir.2025.08.003

Wang, Y., Zhou, W., Li, Y., & Sun, J. (2025). Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology. IEEE Access, 13, 51012–51026. https://doi.org/10.1109/ACCESS.2025.3550962

Yassin, N. H., ElMenshawy, D., Eldien, M. N., & Helal, I. M. A. (2026). ABCD-RPA: A framework for automatable bot candidate detection for robotic process automation. Egyptian Informatics Journal, 34, 100944. https://doi.org/10.1016/j.eij.2026.100944

Zhang, N., & Liu, B. (2019). Alignment of business in robotic process automation. International Journal of Crowd Science, 3(1), 26–35. https://doi.org/10.1108/IJCS-09-2018-0018

Zhang, Y., & Hao, S. (2023). Development and Application of Financial Checkout Robot Based on RPA. Proceedings - 2023 2nd International Symposium on Control Engineering and Robotics, ISCER 2023, 253–256. https://doi.org/10.1109/ISCER58777.2023.00050

Zielińska, O. (2025). The impact of robotics and automation on the perception of the accounting profession by the young generation from the perspective of behavioral economics. Procedia Computer Science, 270, 2523–2531. https://doi.org/10.1016/j.procs.2025.09.374