Application of Business Intelligent System in the Realm of Knowledge Distribution to Employees

Subject Areas :

Tiolina Evi ¹ , Dwi Admojoa ² , Dony Novaliendry ³

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Received: 2023-10-02 Accepted : 2023-11-22 Published : 2024-09-01

Keywords: effectiveness, Business Intelligence, knowledge distribution, Application systems, Application system,

Abstract :

An intelligent business concept involves the whole potential of the PC and the Internet to develop the company's intelligence. Jack Welch says corporate espionage to as one of the highest competitive advantages. Business intelligence is generally applied in HRM, R & D, distribution, CRM, and, most importantly, knowledge management. The main advantage of the application of these concepts is the existence of knowledge management. Knowledge management lets all employees know what is happening inside the company, and seeing the importance of knowledge management in support of a company to create value and generate competitive advantage, PT. X Indonesia is very aware of the importance of knowledge management held by each employee.

References:

Achjari, D, Roles of Formal/Informal Network and Perceived Compatibility in the Diffusion of World Wide Web among Knowledge Workers: The Case of Indonesian Banks, Australia: Thesis, Doctor of Business Administration, Curtin University of Technology, 2003.

Choy, C.S, Yew, W.K and Lin, B. Criteria for Measuring KM Performance Outcome in Organizations Industrial Management & Data Systems.106 (2006): 917-936

Dalkir, Kimiz. 2005. Knowledge Management in Theory and Practice. Oxford: Elsevier Inc. 2005

Dalkir, K., Wiseman, E., & Shulha, M, An Intellectual Capital Evaluation Approach in a Government Organization.  Management Decision. 45. (September 2007): 1497 -1509

Davidson, Carl and Philip Voss. Knowledge Management, An Introduction To Creating Competitive Advantage From Intellectual Capital. New Delhi: Vision Book, 2003.

Djajadi, Freedi, The Use of Knowledge Management in Online Helpdesk: A Case Study in PT. Unilever Indonesia, Tbk, Thesis, Master of Computer Science Study Program, Postgraduate Program in Information Technology, Budi Luhur University Jakarta, 2007.

Dony Novaliendry, Tegar Wibowo, Noper Ardi, Tiolina Evi, & Dwi Admojo. (2023). Optimizing Patient Medical Records Grouping through Data Mining and K-Means Clustering Algorithm: A Case Study at RSUD Mohammad Natsir Solok. International Journal of Online and Biomedical Engineering (iJOE), 19(12), pp. 144–155. https://doi.org/10.3991/ijoe.v19i12.42147

Ferreira, J., Mueller, J. and Papa, A. (2020), "Strategic knowledge management: theory, practice and future challenges", Journal of Knowledge Management, Vol. 24 No. 2, pp. 121-126. https://doi.org/10.1108/JKM-07-2018-0461

Indrajid, R.E. Introduction to Basic Concepts: Information Systems Management and Information Technology, Jakarta: Elexmedia Komputindo, 2000.

Van Korgh, George, Kazuo Ichiyo and Ikujiro Nokana. Enabling Knowledge Creation. New York: Oxford University Press, Inc. 2000.

McInerney, Claire. Knowledge Management and the Dynamic Nature of Knowledge. Journal of the American Society For Information Science And Technology. Issue 12 (October 2002) 1009-1018.

Muhammad Asif (2021) Lean Six Sigma institutionalization and knowledge creation: towards developing theory, Total Quality Management & Business Excellence, 32:7-8, 811-828, DOI: 10.1080/14783363.2019.1640598

Munir, Ningky. Knowledge Management Audit: Guidelines for Evaluating Organizational Readiness to Manage Knowledge. Jakarta: PPM Publishers, 2008

Novaliendry, D. ., Oktoria, Yang, C.-H., Desnelita, Y., Irwan, Sanjaya, R., Gustientiedina, Lizar, Y., & Ardi, N. (2023). Hemodialysis Patient Death Prediction Using Logistic Regression.International Journal of Online and Biomedical Engineering (iJOE),19(09), pp. 66–80. https://doi.org/10.3991/ijoe.v19i09.40917

Pellegrini, M.M., Ciampi, F., Marzi, G. and Orlando, B. (2020), "The relationship between knowledge management and leadership: mapping the field and providing future research avenues", Journal of Knowledge Management, Vol. 24 No. 6, pp. 1445-1492. https://doi.org/10.1108/JKM-01-2020-0034

Retnasari, Anita, e-Learning Methods to Improve Knowledge Sharing in the Flagship Diploma 3 (D3) Program of Budi Luhur University, Thesis, Master of Computer Science, Postgraduate Program in Information Technology, Budi Luhur University Jakarta, 2008.              

Takeuchi, H., &Nonaka, I, . Hitotsubashi on Knowledge Management. Singapore: John Wiley & Sons, 2004

Tiwana, Amrit. The Knowledge Management Toolkit. Prentice Hall PTR. Upper Saddler River, NJ 07456, 2000.

Turban, E., et al. l, Information Technology for Management, 4th  Edition. Canada: John Wiley and Sons, Inc. 2004.

Wattimena, F. Y. ., Abilliyo S. Mampioper, Reni Koibur, I. Nyoman G. A. Astawa, Novaliendry, D., Ardi, N., & Mahyuddin, N. (2023). Data Mining Application for the Spread of Endemic Butterfly Cenderawasih Bay using the K-Means Clustering Algorithm. International Journal of Online and Biomedical Engineering (iJOE),19(09), pp. 108–121. https://doi.org/10.3991/ijoe.v19i09.40907

Wickramasinghe, Nilmini& Lubitz, Dag Von, Knowledge-Based Enterprise: Theories and Fundamentals. London: Idea Group Publishing, 2007

Yu, Wen-Der., Chang, Pei-Lun., Yao, Shuen-Ho., Liu, Shen-Jung. KVAM: a model for measuring knowledge management performance of engineering community of practice. Construction Management and Economics, 2009.