Discrete-Event Modeling and Simulation of the Mobile Samsat Service Queue System in North Medan

Authors

  • Ragilia Putri Dinanti Universitas Islam Negeri Sumatera Utara Author
  • Abdul Rasyid Universitas Islam Negeri Sumatera Utara Author
  • Winda Yunia Purnama Universitas Islam Negeri Sumatera Utara Author
  • Abdullah Harits Harahap Universitas Islam Negeri Sumatera Utara Author
  • Adelia Amanda Universitas Sumatera Utara Author
  • Yuna Dhuha Shabrina Universitas Sumatera Utara Author

Keywords:

Queue System, Discrete-Event Simulation, Mobile Samsat, Waiting Time, Service Modeling

Abstract

This study discusses the queueing problem at the Medan Utara Mobile Samsat Bus service, which often experiences increased waiting times due to limited resources and variations in service times at each counter. This study aims to analyze the performance of the queueing system and identify bottlenecks in the two-stage service flow using the Discrete-Event Simulation (DES) approach. Interarrival and service time data were obtained through direct observation and used as empirical distributions in the simulation process. The DES model was constructed to represent the sequence of service events from arrival, start of service, to completion of service at Counter 1 and Counter 2. The simulation results showed that Counter 1 had the highest waiting time, with an average waiting time of 50.56 minutes, which was much longer than Counter 2, which was only 0.69 minutes. The average total time customers spent in the system was recorded at 62.27 minutes, which was dominated by the waiting time at Counter 1. Statistical analysis confirmed that service variations at Counter 1 contributed significantly to queue formation compared to Counter 2. This study concludes that the application of DES is effective in realistically describing the dynamics of the Mobile Samsat service queue and can be used as an evaluation tool to formulate recommendations for improvement, such as adjusting the number of officers or improving operational flows to increase service efficiency.

References

[1] D. M. Sajou, “Analisis Kualitas Aparatur Sipil Negara Dalam Meningkatkan Pelayanan Publik Di Masa Pandemi,” J. Syntax Transform., vol. 3, no. 4, pp. 506–513, 2022, doi: https://doi.org/10.46799/jst.v3i4.546.

[2] P. Y. F. Sanadi, Fatmawada, and Djunaedi, “Analisis Kualitas Pelayanan Pembayaran Pajak Kendaraan Bermotor pada Kantor Samsat Kabupaten Biak Numfor,” Gema Kampus IISIP Yapis Biak, vol. 19, no. 1, pp. 55–71, 2024, doi: https://doi.org/10.52049/gemakampus.v19i1.377.

[3] Hubalillah, Badaruddin, and H. Kusmawanto, “Analisis Kualitas Pelayanan Bus Samsat Keliling Unit Pelayanan Pendapatan Daerah Medan Selatan Badan Pengelolaan Pajak Dan Retribusi Daerah Provinsi Sumatera Utara,” PERSPEKTIF, vol. 11, no. 1, pp. 372–384, 2022, doi: https://doi.org/10.31289/perspektif.v11i1.5662.

[4] N. W. Aulia and Hidayat, “Usulan Perbaikan Sistem Pelayanan pada Antrian Loket Pembayaran Pajak Kendaraan Bermotor Menggunakan Simulasi Software,” J. Sist. dan Tek. Ind., vol. 5, no. 3, pp. 332–341, 2024, doi: https://doi.org/10.30587/justicb.v5i3.9311.

[5] R. Muhana and T. N. Wijayaningrum, “Penerapan Metode Antrian pada Sistem Pelayanan Apotek Wali Sehat Ngaliyan Kota Semarang,” J. Inform. Teknol., vol. 6, no. 1, pp. 106–116, 2025, doi: https://doi.org/10.37373/infotech.v6i1.1666.

[6] B. I. Lucyantoro and R. Rachmansyah, “Penerapan Strategi Digital Marketing, Teori Antrian Terhadap Tingkat Kepuasan Pelanggan,” J. Pelayanan dan Pengabdi. Masy. Indones., vol. 1, no. 3, pp. 1–17, 2022, doi: https://doi.org/10.55606/jppmi.v1i3.44.

[7] R. P. H. Putra, S. Defit, and Sumijan, “Analisis Sistem antrian dalam Meningkatkan Efektivitas Pelayanan Menggunakan Metode Accidential Sampling,” J. Sist. Inf. dan Teknol., vol. 4, no. 2, pp. 70–75, 2022, doi: https://doi.org/10.37034/jsisfotek.v4i2.127.

[8] D. N. Nahsyawan, “Pendekatan Simulasi dalam Optimalisasi Sistem Antrian Pelayanan Kesehatan Tinjauan Sistematis Literatur,” J. Sist. Inf. dan Inform., vol. 2, no. 1, pp. 27–34, 2025, doi: https://doi.org/10.64847/sistematik.v2i1.110.

[9] U. Abdulrohim, D. V. Versanika, and C. Dirgantara, “Implementasi Metode First Come First Served pada Platform Reservasi Lapangan Badmintoon Berbasis Mobile,” J. Teknlogi Inf. dan Komun., vol. 11, no. 1, pp. 39–42, 2022, doi: https://doi.org/10.58761/jurtikstmikbandung.v11.i1.97.

[10] I. A. Hasugian, K. Muhyi, and N. Firlidany, “Simulasi Monte Carlo dalam Memprediksi Jumlah Pengiriman dan Total Pendapatan,” Bul. Utama Tek., vol. 17, no. 2, pp. 133–138, 2022, doi: https://doi.org/10.30743/but.v17i2.4952.

[11] Y. G. Nengsih, “Optimalisasi Antrian Menggunakan Metode Single Channel Single Phase (Studi Kasus DR. Reksodiwiryo Padang),” J. Ilm. Perekam dan Inf. Kesehat. Imelda, vol. 5, no. 1, pp. 30–39, 2020, doi: https://doi.org/10.52943/jipiki.v5i1.356.

[12] S. Liu, Y. Li, K. P. Triantis, H. Xue, and Y. Wang, “The Diffusion of Discrete Event Simulation Approaches in Health Care Management in the Past Four Decades: A Comprehensive Review,” J. Sage, vol. 5, no. 1, pp. 1–17, 2021, doi: https://doi.org/10.1177/2381468320915242.

[13] L. Hidayat, Teresa, P. Molina, and F. Gunawan, “Application of Discrete-Event Simulation to Increase Machine Availability – A Case Study in Cigarette Filter Manufacturing,” J. Pendidik. Tambusai, vol. 8, no. 1, pp. 3521–3531, 2024, doi: https://doi.org/10.31004/jptam.v8i1.12933.

[14] A. F. Mazri, J. K. Cheng, and Y. Liu, “Application of Discrete Event Simulation for Enhancing Queuing System at Lotus Alor Setar,” Int. J. Ind. Manag., vol. 19, no. 4, pp. 197–209, 2025, doi: https://doi.org/10.15282/ijim.19.4.2025.11959.

[15] D. Awalludin, Y. Indrawan, and R. Malfiany, “Pemodelan Sistem Informasi Pengelolaan Surat Pengantar Rujukan pada Rumah Sakit Menggunakan BPMN,” J. Manaj. Inform., vol. 12, no. 2, pp. 74–88, 2022, doi: https://doi.org/10.34010/jamika.v12i2.7209.

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Published

31-01-2026

How to Cite

Discrete-Event Modeling and Simulation of the Mobile Samsat Service Queue System in North Medan. (2026). NextGen Innovations in Computing and Technology, 1(1), 37-48. https://journal.arfadigitech.com/nict/article/view/99

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