SIMULATION OF CHECK-IN QUEUE MODEL AT SUPADIO PONTIANAK AIRPORT DURING COVID-19 PANDEMIC TIME

Authors

  • Jonfort Sony Hasaoran Hutabarat Master of Management, Telkom University, Indonesia
  • Gadang Ramantoko Master of Management, Telkom University, Indonesia
  • Siska Noviaristanti Master of Management, Telkom University, Indonesia

DOI:

https://doi.org/10.29040/ijebar.v7i3.10646

Abstract

The Covid-19 pandemic has changed the order of human life in the world, including Indonesia. In order to avoid the transmission of the Covid-19 virus, a health protocol in the form of maintaining a distance between humans must be 1 meter apart. The check-in area at the airport is one of the places that must receive attention in implementing this health protocol. With the health protocol and the addition of checking flight documents at the check-in counter, it causes additional time in the passenger departure process. Therefore, if it is not managed properly, it can become a problem that creates long queues and creates inconvenience to the passengers. In this study using field observations by recording queues at the check-in area of Supadio Pontianak airport on March 18-27 2021 to describe the conditions and time required for each passenger in the queue system at the airport and provide the best queuing simulation that can be used at the airport. Supadio during the Covid-19 Pandemic. This study uses R studio to examine the dynamic behavior of the observed data. Exploration of the dynamic behavior of the data is done by entering the observed data into the Simmer simulation model. From the results of the observation data will be the baseline to be tested and the best will be selected as the baseline model. The baseline model uses a Markovian model with stochasticity represented by exponential, Poisson, erlang and normal distributions for arrival time, inter-arrival and service. The criteria for selecting the best model is a model based on parameters obtained from observation data which gives the best total time and waiting time. Then to be able to get a model that is flexible and can be used as an extrapolation to the normal period, it is necessary to do stress analysis. Stress analysis of the baseline model is carried out by introducing the q factor. The q factor serves as a rate multiplicator. The model will be in a more stressful condition as the value of q increases. The simulation uses the Baseline model which is applied to the stress test (Extrapolation-n model), where it can be concluded that the current check-in system is quite resilient to changes in passenger load. In other words, with the current service time and check-in counters that are always open three times, the passenger arrival speed of 100 times from the pandemic period can still be served without the system experiencing a break down.

References

Ademoh, N. A., & Nneka, A. E. (2015). BDR Modelling of Penumpang Queues at Nnamdi Azikiwe International Airport, Abuja, Nigeria. American Journal of Mechanical Engineering, 3(2), 63-71

Ahsan, M. M., Islam, M. R., & Alam, M. A. (2014). Study of queuing system of a busy restaurant and a proposed facilitate queuing system. IOSR Journal of Mechanical and Civil Engineering, 11(6), 31-35

Al-Sultan, A. T. (2018). Simulation and Optimization for Modeling the Penumpangs Check-in System at Airport Terminal. Review of Integrative Business and Economics Research, 7(1), 44.

Ambarwati, R. (2020). Buku Ajar Manajemen Operasional Dan Implementasi Dalam Industri. Umsida Press, 1-947.

Arsyad, M., & Stellamaris, Y. (2012). Analisa Antrian Di Terminal Keberangkatan Bandara Syamsudin Noor Banjarmasin. INFO-TEKNIK, 13(2), 140-162

Aviation, F. (2012). Advisory Circular.

Budiharto, W., & Rachmawati, R. N. (2013). Pengantar Praktis Pemrograman R Untuk Ilmu Komputer.

Dabachine, Y., Taheri, H., Biniz, M., Bouikhalene, B., & Balouki, A. (2020). Strategic design of precautionary measures for airport penumpangs in times of global health crisis Covid 19: Parametric modelling and processing algorithms. Journal of Air Transport Management, 89, 101917.

de Neufville, R., Odoni, A., Belobaba, P. P., & Reynolds, T. G. (2013). Airport System Planning, Design, and Management (Second Edi). MCGraw Hill Education.

Eze, E. O., & Odunukwe, A. D. (2015). On Application of Queuing Models to Customers Management in Banking System. American Research Journal of Bio Sciences, 1(2),14-20

Heizer, J., Render, B., Munson, C., & Sachan, A. (2017). Operations management: sustainability and supply chain management, 12/e.

Indrawati, P. D. (2015). Metode Penelitian Manajemen dan Bisnis Konvergensi Teknologi Komunikasi dan Informasi. In D. Sumayyah (Ed.), Bandung: PT Refika Aditama (1st ed.). PT Refika Aditama.

International Civil Aviation Organization. (2016). Manual on the Regulation of International Air Transport (third, Issue Doc 9626).

Jhala, N., & Bhathawala, P. (2017). Application of Queueing Theory to Airport Related Problems. Global Journal of Pure and Applied Mathematics, 13(7), 3863-3868

Juharni, M. S. (2017). Manajemen Mutu Terpadu (Total Quality Management) (Vol. 1). SAH MEDIA.

Kovynyov, I., & Mikut, R. (2019). Digital technologies in airport ground operations. NETNOMICS: Economic Research and Electronic Networking, 1–25. https://doi.org/10.1007/s11066-019-09132-5

Li, Y., Gao, X., Xu, Z., & Zhou, X. (2018). Network-based queuing model for simulating penumpang throughput at an airport security checkpoint. Journal of Air Transport Management, 66, 13-24

Mota, M. M., & Alcaraz, C. Z. (2015). Allocation of airport check-in counters using a simulation-optimization approach. In Applied Simulation and Optimization (pp. 203-229). Springer, Cham.

Nikoue, H., Marzuoli, A., Clarke, J. P., Feron, E., & Peters, J. (2015). Penumpang flow predictions at sydney international airport: a data-driven queuing approach. arXiv preprint arXiv:1508.04839

Perhubungan, M., & Indonesia, R. (2015). PM 178 Tahun 2015 tentang STANDAR PELAYANAN PENGGUNA JASA BANDAR UDARA http://jdih.dephub.go.id/assets/uudocs/permen/2015/PM_178_TAHUN_2015.pdf

Perhubungan, M., & Indonesia, R. (2020). PM 18 Tahun 2020 tentang PENGENDALIAN TRANSPORTASI DALAM RANGKA PENCEGAHAN PENYEBARAN CORONA VIRUS DISEASE 2019 (COVID-19) http://jdih.dephub.go.id/assets/uudocs/permen/2020/PM_18_TAHUN_2020.pdf

Pramana, S., Yuniarto, B., Mariyah, S., Santoso, I., & Nooraeni, R. (2018). Data Mining dengan R Konsep Serta Implementasi. Jakarta: InMedia.

Prasetya, Hery, dan Lukiastuti, Fitri. (2009). Manajemen Operasi. Yogyakarta: MedPress.

Prihati, Y. (2012). Simulasi dan pemodelan sistem antrian pelanggan di loket pembayaran rekening XYZ semarang. Jurnal Informatika, 3(3).

Saeed, N., & Larsen, O. I. (2016). Application of queuing methodology to analyze congestion: A case study of the Manila International Container Terminal, Philippines. Case Studies on Transport Policy, 4(2), 143-149 doi:10.1016/j.cstp.2016.02.001

Sharma, A. K., & Sharma, G. K. (2013). QUEUEING THEORY APPR OACH WITH QUEUEING MODEL: A STUDY. International Journal of Engineering Science Invention, 2(2), 1-11

Wang, H., Liu, K., Qi, Z., & Guo, J. (2017, May). The establishment and optimization of airport security check process model. In 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) (pp. 1026-1030).IEEE

Waris, M., Ridhayani, I., & Yusman, Y. (2018). Analisis Sistem Antrian Penumpang di Loket Check-in Maskapai Penerbangan Pesawat Garuda Indonesia Airways. BANDAR: JOURNAL OF CIVIL ENGINEERING, 1(1), 37-47.

Wijayanto, F. (2017). Analisis Sistem Antrian Untuk Menentukan Jumlah Optimal Teller Di Bank BCA KCP Lingkar Selatan Bandung

Yamada, H., Ohori, K., Iwao, T., Kira, A., Kamiyama, N., Yoshida, H., & Anai, H. (2017, September). Modeling and managing airport penumpang flow under uncertainty: a case of Fukuoka Airport in Japan. In International Conference on Social Informatics (pp. 419-430). Springer, Cham. https://doi.org/10.1007/978-3-319-67256-4_33

Yudianto, K. (2019). 7 Penerapan Total Quality Management (TQM) Terhadap Kualitas Pelayanan Penumpang. Jurnal Manajemen Dirgantara, 12(2), 95-98.

Downloads

Published

2023-09-29

How to Cite

Hutabarat, J. S. H., Ramantoko, G., & Noviaristanti, S. (2023). SIMULATION OF CHECK-IN QUEUE MODEL AT SUPADIO PONTIANAK AIRPORT DURING COVID-19 PANDEMIC TIME. International Journal of Economics, Business and Accounting Research (IJEBAR), 7(3). https://doi.org/10.29040/ijebar.v7i3.10646

Issue

Vol. 7 No. 3 (2023): IJEBAR, VOL. 07 ISSUE 03, SEPTEMBER 2023

Section

Articles

Citation Check

License

Authors who publish with IJEBAR agree to the following terms: Authors retain copyright and grant the IJEBAR right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in IJEBAR. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in IJEBAR. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).