Implementation of Jackson Queueing Network in General Polyclinic and Dental Polyclinic Patient Services at Jelekong Health Center

Thariq Ahmad Rasyid, Sudradjat Supian, Julita Nahar

Abstract


The buildup in the service system is generally caused because service facilities cannot meet service needs, so service users need time to use the facilities. Health Center is one of the facilities that provide services in the health sector. However, the number of doctors needed in health centers in Indonesia has yet to be met, and the number of patients who are never empty every day causes a buildup in the service system. The application of the service network system using the open Jackson queueing network can model the optimal service system and analyze its performance. The observation method was used to observe patients' arrival and departure times at the Jelekong Health Center, especially in the registration section, general polyclinic, dental polyclinic, and pharmacy, for three days. There was an increase in patient waiting time before being served and time in the system at the general polyclinic after implementation, so one additional service facility was added. Meanwhile, the dental polyclinic experienced decreased patient waiting time before being served and time in the system, so there was no need to add service facilities.

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Alam, M. G. R., Suma, T. M., Uddin, S. M., Siam, M. B. A. K., Mahbub, M. S. bin, Hassan, M. M., and Fortino, G.(2021). Queueing theory based vehicular traffic management system through Jackson network model and optimization.IEEE Access,9, 136018-136031.Choi, S., & Hanaoka, S. (2017). Estimating the mean waiting time in airports through cooperative disaster response operations. Journal of Air Transport Management. 65, 11-17Faris, M. F., Farida, Y., Novitasari,D. C. R., Ulinnuha, N., and Hafiyusholeh, Moh. (2020). Implementation of the open Jackson queueing network to reduce waiting time. Jurnal Matematika MANTIK, 6(2), 83-92.Joseph, J. W. (2020). Queueing theory and modeling emergency department resource utilization. Emergency Medicine Clinics of North America, 38(3), 563-572.Sigman, K. (1990). The stability of open queueing networks. Stochastics Processes and their Applications, 35, 11-25.Taha, H. A. (2017). Operations Research: An Introduction. Tenth ed. Global ed. Essex: Pearson Education Limited 2017.Xia, L., & Shihada, B. (2015). A Jackson network mode and threshold policy for joint optimization of energy and delay in multi-hop wireless networks. European Journal of Operational Research, 242(3), 778-787.Zonderland, M. E. (2012). Curing the Queue. Enschede: Universitu of Twente




DOI: https://doi.org/10.47194/ijgor.v4i4.229

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