PENERAPAN DIGITAL TWIN UNTUK MENGURANGI DAMPAK BENCANA
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Suatu negara tidak bisa terhindar dari yang namanya bencana, baik itu bencana alam maupun bencana karena kecerobohan manusia. Bencana kian kemari kian mengalami peningkatan. Kerusakan dan korban jiwa tidak bisa terhindari. Di era industri 4.0 sudah saatnya unuk melakukan penerapan teknologi terbaru pada fokus infrastruktur, yaitu perancangan konstruksi dan pencegahan bencana untuk dapat mengurangi jumlah kerusakan dan korban jiwa. Digital Twin(DT) adalah salah satu dari teknologi yang menjanjikan untuk menaklukan tantangan tersebut. Tersebar luasnya Building Information Modeling(BIM) dan hadirnya Internet of Things(IoT) penerepana DT digunakan untuk memprediksi bencana dengan mengandalkan riwayat data sebelumnya. Studi ini mengusulkan untuk di pakaianya teknologi DT karena masih kuragnya referensi, pengetahuan dan penerapan teknologi ini pada bangunan atau model nyata untuk mencegah serta mengurangi dampak bencana.
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Botín-Sanabria, D. M., Et al. (2022). Digital Twin Technology Challenges and Applications: A Comprehensive Review. In Remote Sensing (Vol. 14, Issue 6). MDPI. https://doi.org/10.3390/rs14061335
Deng, M., Menassa, C. C., & Kamat, V. R. (2021). From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry. Journal of Information Technology in Construction, 26, 58–83. https://doi.org/10.36680/J.ITCON.2021.005
Doğan, Ö. Et al. (2021). Digital Twin Based Disaster Management System Proposal: DT-DMS. Muğla, Turkey. Emerging Computer Techonolgies Research Article.
Eramo, R., Et al. (2022). Conceptualizing Digital Twins. IEEE Software, 39(2), 39–46. https://doi.org/10.1109/MS.2021.3130755
Fan, C., Zhang, C., Yahja, A., & Mostafavi, A. (2019). Disaster City Digital Twin: A Vision for Integrating Artificial and Human Intelligence for Disaster Management.
Ford, D. N., & Wolf, C. M. (2020). Smart Cities with Digital Twin Systems for Disaster Management. Journal of Management in Engineering, 36(4). https://doi.org/10.1061/(asce)me.1943-5479.0000779
Ghaith, M., Yosri, A., & El-Dakhakhni, W. (2021). Digital Twin: A City-Scale Flood Imitation Framework. https://www.researchgate.net/publication/352055849
https, & wwwplmportalorg. (2019). The Digital Twin Theory - A New View on a Buzzword. https://www.hs-owl.de/fb7/en/laboratorien/www.bigdata-owl.de
Singh, M., Et al (2021). Digital twin: Origin to future. In Applied System Innovation (Vol. 4, Issue 2). MDPI AG. https://doi.org/10.3390/asi4020036
Verdouw, C., Tekinerdogan, B., Beulens, A., & Wolfert, S. (2021). Digital twins in smart farming. Agricultural Systems, 189. https://doi.org/10.1016/j.agsy.2020.103046
You, Y., Chen, C., Hu, F., Liu, Y., & Ji, Z. (2022). Advances of Digital Twins for Predictive Maintenance. Procedia Computer Science, 200, 1471–1480. https://doi.org/10.1016/j.procs.2022.01.348
Yu, D., & He, Z. (2022). Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities. In Natural Hazards (Vol. 112, Issue 1, pp. 1–36). Springer Science and Business Media B.V. https://doi.org/10.1007/s11069-021-05190-x
Yun, S. J., Kwon, J. W., & Kim, W. T. (2022). A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems. Sensors, 22(13). https://doi.org/10.3390/s22134774
Zhabitskii, M., Melnikov, V., & Boyko, O. (2021). Actual problems of the full-scale digital twins technology for the complex engineering object life cycle management. IOP Conference Series: Earth and Environmental Science, 808(1). https://doi.org/10.1088/1755-1315/808/1/012020