Implementasi Teknologi Face Recognition dalam Meningkatkan Efisiensi Proses Boarding Penumpang di PT Kereta Api Indonesia

Authors

  • Annisa Nurinsani Universitas Islam Negeri Sunan Gunung Djati Author
  • Firman Yudhanegara Universitas Islam Negeri Sunan Gunung Djati Author

DOI:

https://doi.org/10.63822/sraeb233

Keywords:

Face Recognition Boarding Gate; Operational Efficiency; Technology Acceptance Model

Abstract

Advances in digital technology are driving the transformation of public transportation services, one example being the implementation of face recognition boarding gate at PT Kereta Api Indonesia (Persero). This study aims to analyze the implementation of face recognition boarding gate technology in improving the efficiency of the passenger boarding process at Kiaracondong Station, as well as to identify the challenges encountered in its implementation. This study employs a descriptive qualitative approach using a case study method through participatory observation and documentation techniques. The results indicate that the use of face recognition boarding gate improves the efficiency of the boarding process, reducing the average time to 2-4 seconds per passenger compared to manual boarding, which takes approximately 6-10 seconds per passenger, thereby increasing service capacity and reducing queues. Analysis using the Technology Acceptance Model (TAM) indicates that user acceptance is influenced by perceptions of the system’s benefits and ease of use. Identified challenges include verification failures due to face coverings, data mismatches, and technical glitches in the devices. From an operational management perspective, this technology contributes to workflow optimization and service effectiveness, but requires ongoing system maintenance support, infrastructure strengthening, and user education.

References

1885–1906. https://doi.org/10.1016/j.patrec.2006.12.018

Afida, N. I., Imamah, S. N., Wijanarko, P., Prayoga, I., & Florensiano, D. A. (2024). Strategi Pelayanan Melalui Pemanfaatan Teknologi Oleh PT KAI Dalam Penyediaan Jasa Transportasi di Indonesia. Kalijaga : Jurnal Penelitian Multidiplin Mahasiswa, 1(23), 27–32.

Apdillah, D., Zebua, R. B., Idham, M., & Anhar, I. (2019). Teknologi Digital di Dalam Kehidupan Masyarakat. 101–107. https://doi.org/10.47521/selodangmayang.v8i2.247

Aprilia, F., Ravenska, N., Putrianti, S. D., & Harahap, S. (2024). Analisis Face Recognition Boarding Gate Sebagai Inovasi Peningkatan Kualitas Pelayanan Publik pada PT . Kereta Api Indonesia ( Persero ) DAOP II Bandung Analysis of Face Recognition Boarding Gate as an Innovation to Improve The Quality of Public Services. 27, 103–124. https://doi.org/10.31845/jwk.v27i1.867

Atalay, A., & Bİrcİk, Ö. F. (2021). Determination of Operational Efficiency in Urban Public Transport Lines. 1, 16–20. https://doi.org/10.36937/cebel.2021.001.004

Azhari, D. M., & Hidajat, M. S. (2025). Analisis Penggunaan Face Recognition Berbasis Metode Principal Componen Analysis di Stasiun Tawang Semarang. 1(2), 12–19.

Danuri, M. (2019). Perkembangan dan Transformasi Teknologi Digital. Jurnal Ilmiah Infokam 15(2):116-123. https://doi.org/10.53845/infokam.v15i2.178

Davis, F. (1987). User Acceptance of Information System: The Technology Acceptance Model (TAM). Int. J. Man-Machine Studies. 38, 475-487.

Geovani, C., Rato, D., & Adriyanto, A. R. (2024). EFEKTIVITAS SISTEM FACE RECOGNITION PADA BOARDING GATE STASIUN KOTA BANDUNG. 8(6), 1–7. https://doi.org/10.46799/arl.v8i6.392

Khairani, R. R., Abidin, F. D. S., & Aprianto, R. (2025). Analisis Efektivitas Penerapan Face Recognition Boarding Gate di Stasiun Tegal. Innovative: Journal Of Social Science Research, 5(4), 5771–5783. https://doi.org/10.31004/innovative.v5i4.20369

Kusmiati, M. I. A. (2024). Manajemen Operasional Jasa 4.0. CV Aksara Global Akademika.

Lee, C. Y., & Johnson, A. L. (2013). Operational efficiency. Handbook of industrial and systems engineering, second edition industrial innovation, 17-44.

Masyhur, M., Abubakar, Y., & Mokodompit, E. A. (2025). Peran Inovasi Teknologi dan Transformasi Digital Dalam Meningkatkan Efisiensi Logistik dan Keberlanjutan Ekonomi Transportasi. Journal of Artificial Intelligence and Digital Business (RIGGS), 4(4), 2806–2811. https://doi.org/10.31004/riggs.v4i4.3917

Miles, M., Huberman, A., & Saldana, J. (2014). Qualitative Data Analysis: A Methods Sourcebook (3rd ed.). SAGE Publications, Inc.

Prasetyo, M. L., Wibowo, A. T., Ridwan, M., Milad, M. K., Arifin, S., Izzuddin, M. A., Diah, R., Setyowati, N., & Ernawan, F. (2021). Face Recognition Using the Convolutional Neural Network for Barrier Gate System. 138–153. https://doi.org/10.3991/ijim.v15i10.20175

Said, E., & Nasr, M. (2020). Face Recognition System. 4574, 4567–4574. https://doi.org/10.35444/IJANA.2020.12205

Sari, I. U., & Hartono, S. (2023). Pelaksanaan Face Recognition Boarding Gate dalam Meningkatkan Efisiensi Pelayanan Boarding di Stasiun Surabaya Pasar Turi. Proseding Pengabdian Kepada Masyarakat Public Internship Symposium, 231–236.

Published

2026-06-19

Issue

Section

Articles

How to Cite

Nurinsani, A., & Yudhanegara, F. (2026). Implementasi Teknologi Face Recognition dalam Meningkatkan Efisiensi Proses Boarding Penumpang di PT Kereta Api Indonesia. Jejak Digital: Jurnal Ilmiah Multidisiplin, 2(4), 6133-6143. https://doi.org/10.63822/sraeb233