Reengineering of Proxy Logging Monitoring System in XYZ Institution

Dian Dharmayanti; Adam Mukharil Bachtiar; F Ahmad

Dian Dharmayanti Informatics Engineering Department, Universitas Komputer Indonesia, Jalan Dipatiukur Nomor 112-116, Bandung, Jawa Barat, Indonesia
Adam Mukharil Bachtiar Informatics Engineering Department, Universitas Komputer Indonesia, Jalan Dipatiukur Nomor 112-116, Bandung, Jawa Barat, Indonesia
F Ahmad Informatics Engineering Department, Universitas Komputer Indonesia, Jalan Dipatiukur Nomor 112-116, Bandung, Jawa Barat, Indonesia

Keywords: Reengineering, Loggin Monitoring, System, Institution

Abstract

This research was conducted to assist the head of the IT Operational & Network Education Division of the XYZ institution to reengineering the internet usage monitoring system. This monitoring system is reengineered so that query performance becomes better and the information presented is easily understood by the user. Reengineering the old system will produce a system model that is more in line with the requirements of the current system. The steps taken in this study, analysis of the monitoring system case domain, data analysis, data visualization reengineering, internet use monitoring system reengineering, software implementation and testing. In addition, testing the performance of the query system and usability testing for users from the new visualization results as the output of this study. Reengineering the internet usage monitoring system is a solution to improve query performance and make it easier for users to understand the information presented

References

Bachtiar, A. M., Dharmayanti, D., & Imammulloh, M. (2018, August). Data visualization of environmental factors in poultry farm. In IOP Conference Series: Materials Science and Engineering (Vol. 407, No. 1, p. 012120). IOP Publishing.
Baron, S., Peter, Z., Vadim, T., Jeremy D, Z., Arjen, L., & Derek J, B. (2008). High Performance MySQL.
Dipina Damodaran, B., Salim, S., & Vargese, S. M. (2016). Performance evaluation of MySQL and MongoDB databases. Int. J. Cybern. Inform.(IJCI), 5.
Fry, B. (2008). Visualizing data. " O'Reilly Media, Inc.".
Huda, M. Q., & Hussin, H. (2016, October). Evaluation model of Information Technology innovation effectiveness case of higher education institutions in Indonesia. In 2016 International Conference on Informatics and Computing (ICIC) (pp. 221-226). IEEE.
Kandogan, E. (2012, October). Just-in-time annotation of clusters, outliers, and trends in point-based data visualizations. In 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 73-82). IEEE.
Koschke, R. (2003). Software visualization in software maintenance, reverse engineering, and re‐engineering: a research survey. Journal of Software Maintenance and Evolution: Research and Practice, 15(2), 87-109.
Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
Majthoub, M., Qutqut, M. H., & Odeh, Y. (2018, July). Software re-engineering: An overview. In 2018 8th International Conference on Computer Science and Information Technology (CSIT) (pp. 266-270). IEEE.
Pontes, H. M., Szabo, A., & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25.
Seffah, A., Donyaee, M., Kline, R. B., & Padda, H. K. (2006). Usability measurement and metrics: A consolidated model. Software quality journal, 14, 159-178.
Zamzami, E. M., & Budiardjo, E. K. (2013). Sebuah Kajian Tentang Requirements Recovery Pada Area Riset Reverse Engineering. JSI: Jurnal Sistem Informasi (E-Journal), 5(2).