IMPLEMENTASI WEB-BASED TRANSPORTATION MANAGEMENT SYSTEM DI INDUSTRI TRANSPORTASI: SEBUAH TINJAUAN SISTEMATIS LITERATUR

Abstract

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 transportasiThis systematic literature review examines the implementation of Web-Based Transportation Management Systems (Web-TMS) to identify key technologies, methodologies, and factors influencing operational efficiency in modern transportation industries. The research method refers to the PRISMA 2020-2025 guidelines, including the stages of identification, screening, and thematic synthesis of 20 relevant scientific articles The reviewed literature highlights various modern approaches, including transportation network optimization (Bešinović, 2020), the application of artificial intelligence for mobility planning (Guevara & Cheein, 2020; Humayun et al., 2022), and the integration of big data and predictive models in traffic management systems (Wu et al., 2022; Yang et al., 2020). Several studies also emphasize the importance of real-time monitoring, fleet management, and operational automation to improve service reliability (Gohar & Nencioni, 2021; Skibniewski et al., 2014). Other references focus on sustainability and infrastructure resilience, including energy efficiency and advanced materials in modern transportation systems (Oladimeji et al., 2023; Rudskoy et al., 2021; Heinbach et al., 2022). Overall, this literature review indicates that the implementation of a web-based Transportation Management System is a strategic approach to addressing the increasing complexity of contemporary transportation, as it integrates route optimization, real-time tracking, data-driven analytics, and intelligent decision-making into a single platform. This integration not only enhances operational efficiency but also supports sustainability and digital transformation in the transportation sector.