Analisis Sistem Antrian di Indomaret Fresh Bitung dengan Pendekatan Teori Antrian dan Simulasi
DOI:
https://doi.org/10.19166/fastjst.v10i1.10892Keywords:
Queueing Theory, Inter-arrival Time, Service Time, Simulation modeling, Waiting TimeAbstract
This study analyzes the performance of the cashier queueing system at Indomaret Fresh Bitung using observational data on inter-arrival times and service times, integrated with simulation modeling. The data collected indicate that customer inter-arrival times follow an exponential distribution. The analysis demonstrates that shorter inter-arrival times substantially increase waiting times and server utilization. During peak hours, an average inter-arrival time of 1.21 minutes results in an average waiting time of 0.769 minutes and a server utilization rate of 60%, indicating that the cashier operates near maximum capacity. In contrast, during non-peak hours, a longer average inter-arrival time of 1.832 minutes reduces system workload, leading to a shorter average waiting time of 0.341 minutes and increasing the probability of server idleness to 62.5%. Combined simulation results reveal a relatively balanced operational condition with an overall utilization level of 50%. Overall, the findings confirm that shorter inter-arrival times increase the likelihood of queue formation; therefore, optimal resource allocation during peak periods is necessary to maintain service efficiency.
References
[1] D. Meliana, J. Riswati, and D. Astuti, “Analisis Perkembangan Bisnis Ritel di Indonesia,” Journal of Business Economics and Management, vol. 01, pp. 235–243, 2025.
[2] G. Darmawan, A. P. Sari, A. Hudzaifa, et al., Efisiensi Operasional dengan ProModel: Panduan Teori Antrian. Kaizen Media Publishing, Des. 2023.
[3] M. Arianto, Efektivitas Sistem Antrian Layanan Kasir (Studi Kasus pada Toko Retail ABC di Bandung) – Dalam Bentuk Buku Karya Ilmiah, 2024. [Online]. Available: repositori Telkom University. Diakses: 6 Feb 2026.
[4] “Indomaret Fresh Bitung Ulasan,” Google Search. [Online]. Available: Google Search – Indomaret Fresh Bitung Ulasan. Diakses: 6 Feb 2026.
[5] W. J. Hopp, “Single Server Queueing Models,” in Building Intuition: Insights from Basic Operations Management Models and Principles, T. J. Chhajed Dilip and Lowe, Ed., Boston, MA: Springer US, 2008, pp. 51–79. https://doi.org/10.1007/978-0-387-73699-0_4
[6] B. L. V Bataona, A. E. L. Nyoko, and N. P. Nursiani, “Analisis Sistem Antrian dalam Optimalisasi Layanan di Supermarket Hyperstore,” Journal of Management: Small and Medium Enterprises (SMEs), vol. 12, no. 2, pp. 225–237, Sep. 2020, https://doi.org/10.35508/jom.v12i2.2695
[7] I. C. B. C. Chan, M. S. Paendong, and T. Manurung, “Analisis Antrian pada ‘Supermarket Cool’ Tomohon Menggunakan Teori Antrian untuk Menentukan Pelayanan yang Optimal,” d’Cartesian, vol. 12, no. 1, pp. 26–34, Jun. 2023, https://doi.org/10.35799/dc.12.1.2023.48046
[8] L. D. Dhae, D. J. Aquilan, I. G. A. S. Deviyanti, and P. E. Yuliana, “Analisis Antrian dengan Model Single Channel Single Phase: Studi Kasus Supermarket Ngagel,” Jurnal Teknik Industri Terintegrasi (JUTIN), vol. 9, no. 1, pp. 1042–1047, Jan. 2026, https://doi.org/10.31004/jutin.v9i1.55305.
[9] Q. U. N. Liu and H. Chen, “Optimization of J supermarket cashier service system based on M/M/c model,” ACM International Conference Proceeding Series, pp. 478–484, Apr. 2022, https://doi.org/10.1145/3535782.3535846
[10] D. Mardiati, “Simulasi Monte Carlo dalam Memprediksi Tingkat Lonjakan Penumpang,” 2020, https://doi.org/10.37034/infeb.vi0.49
[11] K. Daramola, Abubakar Yahaya, and Umar Kabir Abdullahi, “Evaluating Single and Multi-Server Exponential Queuing Models: A Case Study of Access Bank PLC in Anyigba, Kogi State, Nigeria,” Malaysian Journal of Science and Advanced Technology, pp. 482–488, Nov. 2024, https://doi.org/10.56532/mjsat.v4i4.360
[12] F. S. Hillier and G. J. Lieberman, Introduction to Operations Research, Seventh edition. in McGraw-Hill Series in Industrial Engineering and Management Science. Boston: McGraw-Hill, 2001.
[13] C. Heumann, Michael, and S. Shalabh, Introduction to Statistics and Data Analysis Introduction to Statistics and Data Analysis Introduction to Statistics and Data Analysis. South Africa: Springer, 2016. https://doi.org/10.1007/978-3-319-46162-5
[14] A. M. Law, Simulation modeling and analysis. McGraw-Hill Education, 2015.
[15] “Membangkitkan Bilangan Acak Metode Linear Congruential Generator (LCG),” HMJ Statistika FMIPA UNM. Diakses: 6 Feb 2026.
[16] C. Harrell, B. K. Ghosh, and R. Bowden, Simulation Using ProModel. New York, NY, USA: McGraw-Hill/Higher Education, 2004.
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