Optimizing Transportation Services: Using TOGAF for Efficiency and Quality

Bayu Yasa  Wedha; Djarot Hindarto

doi:10.47709/cnahpc.v6i1.3407

Authors

Bayu Yasa Wedha Prodi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional Jakarta
Djarot Hindarto Prodi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional Jakarta

DOI:

10.47709/cnahpc.v6i1.3407

Keywords:

Enterprise Architecture, Information Technology, Increased Operational Efficiency, Transportation Industry, TOGAF

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Abstract

In the rapidly expanding transportation industry, it is crucial to make focused and coordinated efforts to improve services with maximum efficiency. This paper seeks to explore the optimization of the Enterprise Architecture approach to effectively attain the primary objectives of the transportation industry, specifically the enhancement of service quality. The main emphasis is on implementing the enterprise architecture methodology of the open group architecture framework on a strategic basis. This paper examines how Enterprise Architecture can offer systematic and quantifiable solutions by identifying problems in infrastructure and operational processes. The research aims to provide comprehensive insights into how the Enterprise Architecture concept can optimize operational efficiency and streamline processes in the provision of transportation services. By implementing TOGAF, it is expected that the integration of systems will be seamless, technology usage will be optimized, and customer experiences will be improved. To summarize, this paper demonstrates the desire to improve transportation services. It explains how Enterprise Architecture methods, specifically within the TOGAF framework, can directly lead to advantages such as increased operational efficiency and improved service quality. This paper aims to be easily understood by a wide range of readers, including management, Information Technology professionals, and other stakeholders in the transportation industry. It avoids using overly technical language to ensure accessibility and comprehensibility.

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References

Afarini, N., & Hindarto, D. (2023). The Proposed Implementation of Enterprise Architecture in E-Government Development and Services. 3(December), 219–229.

Alwi, M. N., Hindarto, D., & Marina, A. (2023). Efficiency and Effectiveness?: Enterprise Architecture Strategies for Healthcare Service. 3(December), 386–397.

Aytekin, A. (2024). Determining the factors affecting transportation demand management and selecting the best strategy?: A case study. 146(February 2023), 150–166.

Ding, K., Jiang, P., & Su, S. (2018). RFID-enabled social manufacturing system for inter-enterprise monitoring and dispatching of integrated production and transportation tasks. 49(June 2016), 120–133.

García Lechuga, A., Cortés Robles, G., Arredondo Soto, K. C., & Miranda Ackerman, M. A. (2023). The integration of the business model canvas and the service blueprinting to assist the conceptual design of new product-service systems. Journal of Cleaner Production, 415(November 2022). https://doi.org/10.1016/j.jclepro.2023.137801

Hindarto, D. (2023). Application Of Customer Service Enterprise Architecture In The Transportation Industry. Journal of Computer Networks , Architecture and High Performance Computing, 5(2), 682–692.

Ilin, I. V., Levina, A. I., Dubgorn, A. S., & Abran, A. (2021). Investment models for enterprise architecture (Ea) and it architecture projects within the open innovation concept. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 1–18. https://doi.org/10.3390/joitmc7010069

Judijanto, L., & Hindarto, D. (2023). Edge of Enterprise Architecture in Addressing Cyber Security Threats and Business Risks. 3(December), 386–396.

Kornyshova, E., & Barrios, J. (2021). Process-oriented Knowledge Representation of the Requirement Management Phase of TOGAF-ADM?: an Empirical Evaluation. 00.

Kumar, P. N., & Daga, S. S. (2023). Application of business model canvas to merchandising sterile supplies from a hub hospital to smaller hospitals in India. xxxx.

Manning, M. Lou, & Renzi, J. (2023). The Business Model Canvas: A Tool to Enhance Nurse Business Acumen. 1–5.

Petrov, I., Malysheva, N., Lukmanova, I., & Panfilova, E. (2022a). Transport enterprise architecture and features of its personnel management. Transportation Research Procedia, 63, 1462–1472. https://doi.org/10.1016/j.trpro.2022.06.157

Petrov, I., Malysheva, N., Lukmanova, I., & Panfilova, E. (2022b). Transport enterprise architecture and features of its personnel management management. 00.

Tamym, L., Benyoucef, L., Nait, A., Moh, S., Driss, M., & Ouadghiri, E. (2023). Big data analytics-based approach for robust, flexible and sustainable collaborative networked enterprises. 55(January).

Wedha, B. Y., & Hindarto, D. (2023). Maximizing ERP Benefits with Enterprise Architecture?: A Holistic Approach. 5(2), 703–713.

Xiao, Y., Li, K. X., Qi, G., & Jin, M. (2023). Game relations between platform enterprises and participants of digital interaction-sharing platforms in the maritime logistics industry. 178(May).