PENERAPAN TEKNOLOGI WEB UNTUK SMART TRANSPORTATION DAN MANAJEMEN ARMADA DI ERA IOT SYSTEMATIC LITERATURE REVIEW 2020-2025

Nurul Yaqin Sangka; Muh. Ardiansyah; Asya Syara Marzan; Dhimas Tribuana; Dayanti Dayanti

doi:10.64476/jtbc.v2i1.31

Penulis

Nurul Yaqin Sangka Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Muh. Ardiansyah Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Asya Syara Marzan Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Dhimas Tribuana Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Dayanti Dayanti Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia

DOI:

https://doi.org/10.64476/jtbc.v2i1.31

Kata Kunci:

Smart transportation, Fleet management, Web technology, Internet of Things (IoT), Digital twin, Data analytics, Systematic Literature Review

Abstrak

Perkembangan Internet of Things (IoT), teknologi web, cloud computing, digital twins, dan data analytics telah mendorong transformasi besar pada sektor transportasi dan manajemen armada. Penelitian ini menyajikan Systematic Literature Review (SLR) terhadap 20 publikasi internasional periode 2020–2025 yang menyoroti integrasi web technologies (REST APIs, web dashboards, cloud platforms), IoT sensors, telematics, digital twins, dan machine learning dalam smart transportation serta pengelolaan armada. Proses SLR mengikuti tahapan PRISMA, dimulai dari identifikasi 842 artikel, seleksi judul/abstrak, penilaian kelayakan, hingga penyaringan akhir. Hasil menunjukkan lima fokus utama: (1) IoT-based sensing & monitoring, (2) Web-based fleet dashboards & APIs, (3) Data analytics & predictive maintenance, (4) Digital twin–enabled transportation optimization, dan (5) Security & interoperability. Analisis klaster mengungkapkan pergeseran inovasi dari sekadar pelacakan kendaraan menuju sistem berbasis data real-time dan digital twins. Penelitian ini menghasilkan model konseptual transformasi digital yang mengintegrasikan teknologi web, analytics, IoT, dan digital twins untuk mendukung sistem transportasi cerdas. Studi ini juga mengidentifikasi kesenjangan seperti keamanan sensor, interoperabilitas web services, serta kurangnya implementasi berskala besar.

Unduhan

Data unduhan belum tersedia.

Referensi

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