No-code workflow automation for meeting minutes generation using scrum
DOI:
https://doi.org/10.35335/mandiri.v14i3.500Keywords:
Meeting Minutes, No-Code Automation, Scrum, Text Summarization, Workflow AutomationAbstract
The increasing frequency of online meetings has intensified the need for efficient and consistent meeting documentation. However, the preparation of meeting minutes is still commonly performed manually, resulting in delayed documentation, inconsistent formats, and increased workload. This study aimed to develop and evaluate a no-code workflow automation system for meeting minutes generation using the Scrum framework. The proposed system integrated a no-code automation platform with an AI-based text summarization service to automatically process meeting transcripts and generate structured meeting minutes consisting of key discussion points, decisions made, and action items. The system was developed using an iterative Scrum-based approach, allowing continuous feedback and refinement throughout the development process. System evaluation focused on efficiency and usability by comparing the automated process with manual documentation. The results showed that the proposed system reduced the meeting minutes preparation time from approximately 30–45 minutes per meeting (manual process) to 2–5 minutes per meeting (automated workflow), while improving consistency and clarity of the output. In addition, the no-code approach enabled non-technical users to operate and maintain the system without requiring programming skills This study demonstrated that combining no-code workflow automation, AI-based text summarization, and agile development practices can provide an effective and practical solution for automating meeting documentation in organizational environments.
References
Anuj Pandya, & Gawande, N. (2022). Automatic generation of minutes of meeting using natural language processing. International Journal of Computer Applications, 174(25), 1–6. https://doi.org/10.5120/ijca2022922030
Chopra, S., Auli, M., & Rush, A. M. (2020). Abstractive sentence summarization with attentive recurrent neural networks. Proceedings of NAACL-HLT, 93–98.
Desmond, M., Muller, M., & Sedlmair, M. (2022). A human-centered perspective on no-code and low-code systems. IEEE Computer Graphics and Applications, 42(2), 36–46. https://doi.org/10.1109/MCG.2021.3132964
Domingues, P., Santos, J., & Amaral, L. (2025). Low-code development and agile methodologies: A systematic literature review. Journal of Systems and Software, 208, 111899. https://doi.org/10.1016/j.jss.2023.111899
Georgakopoulos, D., & Papazoglou, M. P. (2009). Service-oriented computing. MIT Press.
Groover, M. P. (2010). Automation, production systems, and computer-integrated manufacturing (3rd ed.). Pearson Education.
Hardt, D. (2012). The OAuth 2.0 authorization framework. IETF RFC 6749. https://doi.org/10.17487/RFC6749
Hidayah, N. (2024). Manajemen notulen rapat dalam organisasi digital. Jurnal Administrasi Bisnis, 12(1), 45–52.
Hu, X., Li, J., & Wang, Y. (2023). MeetingBank: A large-scale dataset for meeting summarization. Proceedings of ACL 2023, 1356–1367. https://doi.org/10.18653/v1/2023.acl-long.77
Jasman, Y. (2024). Implementasi low-code platform dalam pengembangan sistem informasi organisasi. Jurnal Sistem Informasi, 20(2), 89–101.
Khodake, A., Patil, S., & Kulkarni, P. (2023). Automated meeting minutes generation using NLP techniques. International Journal of Advanced Computer Science and Applications, 14(6), 234–241.
Linthicum, D. S. (2023). Cloud computing and SOA convergence in your enterprise. Addison-Wesley.
Lu, Y., & Wang, X. (2024). Automatic meeting minute generation with speaker identification. Expert Systems with Applications, 235, 121072. https://doi.org/10.1016/j.eswa.2023.121072
Maulana Akbar, R., & Indris, S. (2022). Evaluasi penerapan low-code platform dalam pengembangan aplikasi bisnis. Jurnal Teknologi Informasi, 18(3), 211–220.
Rennard, V., Zhang, H., & Wang, L. (2022). A survey of abstractive meeting summarization. Artificial Intelligence Review, 55, 1–38. https://doi.org/10.1007/s10462-021-10098-7
Rokis, A., & Kirikova, M. (2023). Challenges of low-code and no-code development platforms. Software Quality Journal, 31(2), 789–812. https://doi.org/10.1007/s11219-022-09615-2
Schwaber, K., & Sutherland, J. (2020). The Scrum guide. Scrum.org.
Sheikhi, A., Rahmani, A. M., & Sahafi, A. (2022). SmartMinutes: Blockchain-based secure meeting minutes management. Future Generation Computer Systems, 128, 219–231. https://doi.org/10.1016/j.future.2021.10.012
Singh, R., Verma, P., & Sharma, N. (2023). Intelligent meeting assistant using text summarization. Journal of King Saud University – Computer and Information Sciences, 35(1), 101–110. https://doi.org/10.1016/j.jksuci.2022.08.004
Sufi, A. (2023). Low-code/no-code platforms: Accelerating digital transformation. Journal of Information Systems Engineering and Management, 8(2), 1–12.
Tahmid, I., Rahman, M., & Hasan, R. (2023). Large language models for real-world meeting summarization. arXiv preprint arXiv:2306.01234.
Tsahat, G., Ben Dhaou, I., & Ghézala, H. B. (2023). Low-code development platforms: A systematic literature review. Journal of Systems and Software, 196, 111567. https://doi.org/10.1016/j.jss.2022.111567
Wang, X., Wei, J., & Zhou, Y. (2023). Plan-and-solve prompting for complex reasoning tasks. Proceedings of NeurIPS 2023.
Weske, M. (2007). Business process management: Concepts, languages, architectures. Springer.
Yamaguchi, T., Yoshida, M., & Kobayashi, Y. (2021). Reference-free automatic meeting minuting pipeline. Proceedings of EMNLP 2021, 381–391. https://doi.org/10.18653/v1/2021.emnlp-main.30
Zhong, M., Zeng, D., & Li, H. (2021). QMSum: A new benchmark for query-based meeting summarization. Proceedings of ACL 2021, 5905–5915. https://doi.org/10.18653/v1/2021.acl-long.457
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Syafika Zalfanissa Dila, Vitri Tundjungsari
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
