Academic Service System Development Using Enterprise Architecture Modeling
Authors/Creators
- 1. Department of Informatics Engineering
- 2. Master Program Graduate Scho
- 3. ol, AMIKOM University, Yogyakarta, Indonesia
Description
As an enterprise engaged in the education sector, it has become an obligation for universities to provide good services, especially academic services, using information technology and information systems. Academic services are administrative-technical work carried out both physically and logically offered by academics or admissions to students and other academic communities. In building an academic service system, careful planning is needed, because one of the factors in the failure of system implementation is the lack of good planning and by business needs, therefore it is necessary to create an enterprise architecture that will produce a blueprint that can be a guide and reference for activities academic information system planning and development services. The framework used to build this academic service system modeling is to use the TOGAF framework. The results of this study indicate that by implementing the TOGAF framework phase of architecture vision, business architecture, information systems architecture, and technology architecture, has resulted in improvements or solutions to improve academic service performance so that the problem of the absence of information systems in the organization can be solved with this architecture
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References
- D. Goerzig and T. Bauernhansl, Enterprise architectures for the digital transformation in small and medium-sized enterprises, Procedia CIRP, 2018, vol. 67, pp. 540–545, doi: 10.1016/j.procir.2017.12.257.
- L. Angrisani, P. Arpaia, F. Bonavolontá, and N. Moccaldi, A ""learning small enterprise " networked with a FabLab : An academic course 4 . 0 in instrumentation and measurement, Measurement, 2020, vol. 150, doi: 10.1016/j.measurement.2019.107063.
- J. E. Jarvis, Succession Planning for an Organization, Int. J. Bus. Manag. Technol., vol. 3, no. 6, 2019, pp. 222–230.
- H. A. F. Fernández*, Enterprise Architecture Review, Vinculos, vol. 7, no. 2, 2010, pp. 59–69
- H. Wan, B. Johansson, X. Luo, and S. Carlsson, Realization of Enterprise Architecture ( EA ) Benefits A Meta Study on Control and Controllability, in Conference on Practice-Driven Research on Enterprise Transformation, 2013, pp. 92–105
- A. Kaushik and A. Raman, The new data-driven enterprise architecture for e-healthcare : Lessons from the Indian public sector, Gov. Inf. Q., vol. 32, no. 1, 2015, pp. 63–74, doi: 10.1016/j.giq.2014.11.002
- M. Saarelainen, Does Enterprise Architecture Form the Ground for Group Decisions in eGovernment Programme ?, in IEEE, 2011, pp. 11–17, doi: 10.1109/EDOCW.2011.26.
- N. Azaliah, A. Bakar, S. Harihodin, and N. Kama, Assessment of Enterprise Architecture Implementation Capability and Priority in Public Sector Agency, Procedia - Procedia Comput. Sci., vol. 100, 2016, pp. 198–206, doi: 10.1016/j.procs.2016.09.141.