Designing a Human-Centered Smart Counter for Transjakarta Using the House of Quality to Improve Service Inclusivity

Authors

DOI:

https://doi.org/10.26877/asset.v8i1.2405

Keywords:

house of quality, human-centered design, servqual, smart counter, transjakarta

Abstract

Jakarta's increasing vehicle usage has exacerbated air pollution, and as a result, the initiative to advance sustainable urban mobility and a target to achieve Net Zero Emissions by 2050. Nevertheless, public satisfaction with Transjakarta remains low due to inconsistent service quality and no real-time information for riders. This study puts forward the SmartCounter, a smart passenger-counting system developed by a Human-Centered Design (HCD) process with support from the SERVQUAL approach and House of Quality (HoQ) analysis. The research employs a mixed-method methodology using gap analysis, semi-structured interviews, and focus group discussions to comprehensively gather and convert user requirements into technical specifications. Critical parameters that are elicited from SERVQUAL then propel the Voice of Customer and subsequently get mapped to ranked technical needs with the help of the HoQ. SmartCounter utilizes cutting-edge sensing technology (Time-of-Flight or AI-integrated cameras) with onboard edge computing to enable automatic, real-time, and privacy-respecting passenger counting. The HoQ study prioritized three main technical imperatives: sensor accuracy (score 123), casing robustness (score 111), and real-time transmission (score 109). Other aspects include embedded processors (score 103), display units and operator dashboards (scores 84), and power systems (score 71). Overall, the SmartCounter actively addresses both passenger and operational needs, advancing Jakarta's goals towards a more sustainable, efficient, and inclusive urban transport system for Net Zero Emissions 2050.

Author Biographies

  • Nova Pangastuti, Bina Nusantara University

    Industrial Engineering Department, BINUS Online Learning, Bina Nusantara University, Indonesia

  • Olivia Oktariska Timbayo, Bina Nusantara University

    Industrial Engineering Department, BINUS Online Learning, Bina Nusantara University, Indonesia

  • Restu Pinasthika, Bina Nusantara University

    Information System Department, BINUS Online Learning, Bina Nusantara University, Indonesia

References

[1] Rianawati, E., Alberdi, H., Sallsabilla, A., Larasati, M., Pranindita, N., & Hamdani, R. S. (2022). Transformasi transportasi Jakarta: Mengkaji ulang target emisi nol. Greenpeace Indonesia. https://www.greenpeace.org/static/planet4-indonesia-stateless/2022/12/32fdeded-transformasi-transportasi-jakarta_full-report.pdf

[2] Zhang, Y., & Li, X. (2022). Smart city technologies and sustainable urban mobility. Sustainable Cities and Society, 85, 104058. https://doi.org/10.1016/j.scs.2022.104058

[3] Tsemekidi Tzeiranaki, S., et al. (2023). The impact of energy efficiency and decarbonisation policies on the European road transport sector. Transportation Research Part A: Policy and Practice, 170, 103623. https://doi.org/10.1016/j.tra.2023.103623

[4] Ginting, N. M., & Ratnasari, N. E. (2022). Study literature review artikel terindeks Scopus perihal kebijakan berkelanjutan untuk mengatasi kemacetan lalu lintas. Aliansi: Jurnal Politik, Keamanan dan Hubungan Internasional, 0(0), 175–181, https://doi.org/10.24198/aliansi.v0i0.41959

[5] Adolph, R. (2016). No title. Journal, 7(2), 1–23.

[6] Morales, A., & Jensen, O. (2022). Integrating human-centered design with transport planning. Transportation Research Interdisciplinary Perspectives, 15, 100664. https://doi.org/10.1016/j.trip.2022.100664

[7] Alomari, K. M., & Al-Qudah, M. A. (2023). Evaluating public transport using SERVQUAL in smart mobility contexts. Case Studies on Transport Policy, 11(1), 23–33. https://doi.org/10.1016/j.cstp.2022.12.006

[8] Ayuningtyas, D., Wijaya, H., & Saputra, R. (2023). Inclusive design in Indonesian urban transportation systems. Journal of Urban Mobility Innovation, 3(2), 45–55.

[9] Silva, L., & Andrade, P. (2023). Using human-centered design in public infrastructure innovation. Design Studies, 83, 101140. https://doi.org/10.1016/j.destud.2022.101140

[10] Hartono, R., & Widodo, A. (2023). Evaluating public satisfaction using mixed-methods in BRT systems. Transport Management Journal, 6(1), 35–46.

[11] Fernandes, J., & Marques, R. (2022). Applying QFD to smart mobility solutions: A case study. Sustainable Transportation Review, 14(2), 89–98.

[12] Narayan, A., & Putra, Y. (2024). Evaluating smart transport prototypes with user-centered metrics. Journal of Transport and Development Policy, 10(1), 13–25.

[13] Patel, M., & Kusuma, D. (2022). Service gaps in Bus Rapid Transit systems in Southeast Asia. Transport Policy, 119, 28–37. https://doi.org/10.1016/j.tranpol.2022.03.005

[14] Wang, C., Oliveira, R., & Lim, S. (2023). Real-time passenger information systems and commuter satisfaction. International Journal of Transportation Science and Technology, 12(2), 145–156. https://doi.org/10.1016/j.ijtst.2023.03.001

[15] Lee, H., & Sato, R. (2023). Enhancing transit accessibility through mobile-based real-time alerts. Asian Transport Studies, 9(3), 67–79.

[16] Ramos, F. A., & Linardi, M. (2022). Overcrowding and public trust in transport services. Journal of Public Transportation, 25(1), 101–110.

[17] Jadhav, A. A., & Rane, S. B. (2022). Smart technologies for enhancing public transportation services. International Journal of Intelligent Transportation Systems Research, 20(2), 151–162. https://doi.org/10.1007/s13177-021-00267-9

[18] Ferdiansyah, Y., & Liu, H. (2022). Prioritizing user needs in smart urban mobility systems using QFD. Urban Transport Frontiers, 4(2), 65–77.

[19] Huang, Y., Zhang, D., & Chen, Q. (2022). Integration of smart sensors in electric bus fleets for sustainable transit. Cleaner Transportation Systems, 1, 100010. https://doi.org/10.1016/j.cts.2022.100010

[20] Bui, T., & Choi, M. (2023). Edge computing for smart transit systems: A privacy-aware approach. Computers & Electrical Engineering, 107, 108011. https://doi.org/10.1016/j.compeleceng.2023.108011

[21] Wong, T. C., & Phan, M. L. (2023). Inclusive digital display solutions for elderly commuters. Universal Access in the Information Society, 22(4), 735–748. https://doi.org/10.1007/s10209-022-00913-3

[22] Lestari, M., & Hashimoto, K. (2022). Decarbonizing transport in Southeast Asia through data-driven innovation. Environmental Innovation and Societal Transitions, 43, 100727. https://doi.org/10.1016/j.eist.2022.100727

[23] Tan, J., & Kusnadi, M. (2023). Co-design approaches in inclusive urban mobility technology. Design and Society, 6(3), 91–102.

[24] Kim, S., & Rahman, A. (2024). Smart mobility systems in emerging economies. Journal of Transport Innovation, 11(1), 23–36.

[25] Osei, E., & Fitri, A. (2022). Assistive technology and inclusive public transportation in low-income countries. Journal of Mobility and Inclusion, 3(1), 45–60.

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Published

2026-01-31

Issue

Vol. 8 No. 1 (2026): November - January

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Articles

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