IMPLEMENTASI WEB-BASED TRANSPORTATION MANAGEMENT SYSTEM DI INDUSTRI TRANSPORTASI: SEBUAH TINJAUAN SISTEMATIS LITERATUR
DOI:
https://doi.org/10.64476/jtbc.v1i3.15Kata Kunci:
Web-, Based, Transportation, Management, System, CerdasAbstrak
Tinjauan pustaka sistematis ini mengkaji implementasi Sistem Manajemen Transportasi Berbasis Web (Web-TMS) untuk mengidentifikasi teknologi, metodologi, dan faktor-faktor utama yang memengaruhi efisiensi operasional dalam industri transportasi modern. Metode penelitian mengacu pada pedoman PRISMA 2020, mencakup tahap identifikasi, penyaringan, dan sintesis tematik terhadap 20 artikel ilmiah yang relevan Literatur yang dikaji menyoroti berbagai pendekatan modern, termasuk optimasi jaringan transportasi (Bešinović 2020), penerapan kecerdasan buatan untuk perencanaan mobilitas (Gohar & Nencioni 2021; Humayun et al., 2022), serta integrasi big data dan model prediktif dalam sistem manajemen lalu lintas Wu et al. (2022; Yang et al., 2020). Selain itu, beberapa studi menekankan pentingnya monitoring real-time, manajemen armada, dan otomatisasi proses operasional untuk meningkatkan keandalan layanan transportasi Guevara & Cheein (2020; Skibniewski et al., 2014). Referensi lain juga membahas aspek keberlanjutan dan ketahanan infrastruktur, termasuk efisiensi energi dan material dalam sistem transportasi modern Heinbach et al. (2022; Oladimeji et al., 2023; Rudskoy et al., 2021)Secara keseluruhan, tinjauan pustaka ini mengindikasikan bahwa implementasi web-based Transportation Management System menjadi langkah strategis dalam merespons kompleksitas transportasi masa kini, karena mampu mengintegrasikan optimasi rute, pelacakan real-time, analitik berbasis data, dan pengambilan keputusan cerdas dalam satu platform. Integrasi ini tidak hanya meningkatkan efisiensi operasional, tetapi juga mendukung keberlanjutan dan transformasi digital di sektor transportasi
Unduhan
Referensi
Abbas, K., Tawalbeh, L. A., Rafiq, A., Muthanna, A., Elgendy, I. A., & Abd El-Latif, A. A. (2021). Convergence of Blockchain and IoT for Secure Transportation Systems in Smart Cities. Security and Communication Networks, 2021. https://doi.org/10.1155/2021/5597679
Armya, R. E. A., Abdulrahman, L. M., Abdulkareem, N. M., & Salih, A. A. (2023). Web-based Efficiency of Distributed Systems and IoT on Functionality of Smart City Applications. Journal of Smart Internet of Things, 2023(2), 142–161. https://doi.org/10.2478/jsiot-2023-0017
Bešinović, N. (2020). Resilience in railway transport systems: a literature review and research agenda. Transport Reviews, 40(4), 457–478. https://doi.org/10.1080/01441647.2020.1728419
Bharadiya, J. P. (n.d.). Artificial Intelligence in Transportation Systems A Critical Review. www.ajpojournals.org
Bose, R., Mondal, H., Sarkar, I., & Roy, S. (2022). Design of smart inventory management system for construction sector based on IoT and cloud computing. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 2. https://doi.org/10.1016/j.prime.2022.100051
Dastres, R., & Soori, M. (2022). Advances in Web-Based Decision Support Systems. www.ceserp.com/cp-jour
Gohar, A., & Nencioni, G. (2021). The role of 5g technologies in a smart city: The case for intelligent transportation system. In Sustainability (Switzerland) (Vol. 13, Issue 9). MDPI AG. https://doi.org/10.3390/su13095188
Guevara, L., & Cheein, F. A. (2020). The role of 5G technologies: Challenges in smart cities and intelligent transportation systems. Sustainability (Switzerland), 12(16). https://doi.org/10.3390/su12166469
Guo, F., Jahren, C. T., & Turkan, Y. (n.d.). ELECTRONIC DOCUMENT MANAGEMENT SYSTEMS FOR TRANSPORTATION CONSTRUCTION INDUSTRY.
Heinbach, C., Beinke, J., Kammler, F., & Thomas, O. (2022). Data-driven forwarding: a typology of digital platforms for road freight transport management. Electronic Markets, 32(2), 807–828. https://doi.org/10.1007/s12525-022-00540-4
Humayun, M., Afsar, S., Almufareh, M. F., Jhanjhi, N. Z., & Alsuwailem, M. (2022). Smart Traffic Management System for Metropolitan Cities of Kingdom Using Cutting Edge Technologies. Journal of Advanced Transportation, 2022. https://doi.org/10.1155/2022/4687319
Kumala Dewi, N., Syah Putra, A., Muhammadiyah Jakarta, S., & Insan Pembangunan, S. (2021). LAW ENFORCEMENT IN SMART TRANSPORTATION SYSTEMS ON HIGHWAY.
Lv, Z., & Shang, W. (2023). Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review. In Green Technologies and Sustainability (Vol. 1, Issue 1). KeAi Communications Co. https://doi.org/10.1016/j.grets.2022.100002
Nguyen, D. D., Rohács, J., Rohács, D., & Boros, A. (2020). Intelligent total transportation management system for future smart cities. Applied Sciences (Switzerland), 10(24), 1–31. https://doi.org/10.3390/app10248933
Oladimeji, D., Gupta, K., Kose, N. A., Gundogan, K., Ge, L., & Liang, F. (2023). Smart Transportation: An Overview of Technologies and Applications. In Sensors (Vol. 23, Issue 8). MDPI. https://doi.org/10.3390/s23083880
Rudskoy, A., Ilin, I., & Prokhorov, A. (2021). Digital Twins in the Intelligent Transport Systems. Transportation Research Procedia, 54, 927–935. https://doi.org/10.1016/j.trpro.2021.02.152
Sarkar, D., Patel, H., & Dave, B. (2022). Development of integrated cloud-based Internet of Things (IoT) platform for asset management of elevated metro rail projects. International Journal of Construction Management, 22(10), 1993–2002. https://doi.org/10.1080/15623599.2020.1762035
Shaban, S., Tariq, I., Elzubeir, M., Alsuwaidi, A. R., Basheer, A., & Magzoub, M. (2021). Conducting online OSCEs aided by a novel time management web-based system. BMC Medical Education, 21(1). https://doi.org/10.1186/s12909-021-02945-9
Skibniewski, M., Tserng, H. P., Ju, S. H., Feng, C. W., Lin, C. T., Han, J. Y., Weng, K. W., & Hsu, S. C. (2014). Internetinės prieigos tilto išplovimo stebėjimo realiuoju laiku sistema stichinėms nelaimėms valdyti. Baltic Journal of Road and Bridge Engineering, 9(1), 17–25. https://doi.org/10.3846/bjrbe.2014.03
Wu, Y., Dai, H. N., Wang, H., Xiong, Z., & Guo, S. (2022). A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory. In IEEE Communications Surveys and Tutorials (Vol. 24, Issue 2, pp. 1175–1211). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/COMST.2022.3158270
Yang, C., Zha, M., Wang, W., Liu, K., & Xiang, C. (2020). Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: Review and recent advances under intelligent transportation system. In IET Intelligent Transport Systems (Vol. 14, Issue 7, pp. 702–711). Institution of Engineering and Technology. https://doi.org/10.1049/iet-its.2019.0606
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2025 jusnidar jusnidar, Riskayanti Riskayanti, Yudhika Setiawan, Kharismatul Khomsiah, Amsar Diath Yogmar, Dhimas Tribuana

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
Artikel ini diterbitkan di bawah Lisensi Creative Commons Attribution 4.0 International (CC BY 4.0).
Anda bebas menggunakan, membagikan, dan mengadaptasi karya ini selama mencantumkan atribusi yang sesuai kepada penulis dan sumber asli publikasi.
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/











