Collaboration of Business Process Modeling Notation and Rational Unified Process in Blended Learning System Development
- DOI
- 10.2991/978-94-6463-386-3_40How to use a DOI?
- Keywords
- Blended Learning; Business Process Modelling; RUP
- Abstract
The blended learning system, or what is known as hybrid learning, is a good learning method to use after the COVID-19 pandemic. This learning is flexible and not only focuses on face-to-face learning in class but can also carry out the learning process anywhere. The use of information technology such as e-learning web applications, conferences, and animated graphic design are the main reasons why this system is attractive to use. The large variety of users with diverse backgrounds means that the blended learning system cannot run effectively and efficiently. The research tries to collaborate between the Business Process Modeling Notation (BPMN) and the Rational Unified Process (RUP) method in developing a blended learning system. The expected result is that the blended learning system will have an e-learning web application that facilitates the learning process and a blended learning system management guide that can be used by users.
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- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Muhammad Aris Ganiardi AU - Nita Novita AU - Delta Khairunissa AU - Elqory Ceasardy AU - Fefi Aprista AU - Visi Atira Karunia Prima PY - 2024 DA - 2024/02/27 TI - Collaboration of Business Process Modeling Notation and Rational Unified Process in Blended Learning System Development BT - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023) PB - Atlantis Press SP - 373 EP - 385 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-386-3_40 DO - 10.2991/978-94-6463-386-3_40 ID - Ganiardi2024 ER -