Implementation of a knowledge management system using semantic networks for academic information systems in higher education
Keywords:
Knowledge management system, Semantic networks, Higher educationAbstract
A knowledge base is a component that is really needed in any field and agency. As is known, especially in the education sector, several educational institutions, both private and public, have different academic rules and systems. Likewise in universities, the academic system implemented has diversity which is usually influenced by the characteristics of the university itself as well as the curriculum applied. This research aims to create a knowledge management system that focuses on the knowledge base. The knowledge can be analyzed from the higher education academic system. The research method uses the Knowledge Management System Life Cycle (KMSLC) approach, also called the Knowledge Management System Life Cycle. The research stages that will be carried out including Analysis and Planning, Resource Identification, Knowledge Identification (where the sequence of stages is: Knowledge Creation, Knowledge Storage, Knowledge Sharing, and Knowledge Utilization), then KMS Design using a semantic network, Verification and Validation KMS, KMS implementation, after that the test and evaluation stage. The output of the research is a system model that can be developed into an information system in the form of a web-based application with the theme Knowledge Management System for academic systems in higher education.
References
[1] S. G. M.A. Manuhutu, L.J Uktolseja, “Academic Information System for Student (Case Study: Victory University of Sorong),” Int. J. Comput. Appl., vol. 180, no. 43, pp. 975–8887, 2018.
[2] M. Susanti, “Perancangan Sistem Informasi Akademik Berbasis Web Pada SMK Pasar Minggu Jakarta,” J. Inform., vol. 3, no. 1, pp. 91–99, 2016.
[3] A. M. K. Anam, “Analisa dan Perancangan Sistem Informasi Akademik Berbasis Web Pada Al-Mursyidiyyah Al-’Asyirotussyafi’iyyah,” J. Tek. Inform., vol. 11, no. 2, pp. 207–217, 2018.
[4] R. Becerra-Fernandez, Irma Sabherwal, Knowledge management: Systems and processes, 2nd ed., vol. 2. New York: M.E. Sharpe, Inc, 2015. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.4324/9781315715117/knowle dge-management-irma-becerra-fernandez-rajiv-sabherwal
[5] M. L. D. Alavi, “Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues,” MIS Q., vol. 25, no. 1, p. 2, 2001.
[6] O. D. Sopandi and U. S. Saud, “Implementasi Knowledge Management Pada Perguruan Tinggi,” J. Adm. Pendidik., vol. 23, no. 2, 2016.
[7] I. Purnamasari, I. Hermadi, and Y. Nurhadryani, “Knowledge management system SOP using semantic networks connected with personnel information system: Case study Universitas Singaperbangsa Karawang,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 17, no. 1, pp. 179–186, 2019, doi: 10.12928/TELKOMNIKA.v17i1.9107.
[8] J. F. Sowa, “Semantic networks,” in Encyclopedia of Artificial Intelligence, no. 1972, Wiley, 1987; second edition, 1992., 1987. doi: 10.35940/ijeat.a1798.1010120.
[9] W. Van Atteveldt, Techniques for Extracting, Representing. Charleston SC: BookSurge Publishers, 2008.
[10] Fredrick A.B, Jianhua Zhang, Ziao Cao & Horbanenko. O, An empirical study on the sharing of tacit knowledge by construction project workers in sub-Saharan Africa. vol. 21, no. 6, Taylor & Francis Online: Knowledge Management Research & Practice, 2022. doi: 10.1080/14778238.2022.2105757.
[11] Serhad Sarica a, Ji Han b, Jianxi Luo, Design representation as semantic networks. Computers in Industry, 2023. doi: 10.1016/j.compind.2022.103791.
