Peran Badan Nasional Pencarian dan Pertolongan (Basarnas) dalam Mendukung Strategi Pertahanan Nasional di Wilayah Maritim Indonesia (Studi Kasus: Perbatasan Laut Selat Malaka)
DOI:
https://doi.org/10.55681/jige.v7i2.6162Keywords:
Basarnas, Maritime Defense, Sar Operations, Synergy, Maritime SecurityAbstract
As the largest archipelagic country, Indonesia faces complex challenges in maintaining maritime security. Basarnas, as the search and rescue (SAR) agency, plays a crucial role in supporting national defense, especially in addressing non-military threats such as maritime accidents and natural disasters (Frishfelds et al., 2023). This study uses a qualitative approach and case study method to explore Basarnas' contribution to Indonesia's maritime defense strategy. The results show that Basarnas plays a significant role in responding to maritime incidents, enhancing inter-agency coordination, and strengthening safety in Indonesian waters. Synergy with the Navy (TNI AL) is also key to preparedness against both military and non-military maritime threats. In conclusion, Basarnas not only engages in rescue efforts but also strengthens the nation's defense in maritime areas. Strengthening Basarnas' operational capacity and closer collaboration with defense components are necessary to achieve sustainable maritime security.
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References
Amro, A., & Gkioulos, V. (2023). Cyber risk management for autonomous passenger ships using threat-informed defense-in-depth. International Journal of Information Security, 22, 249–288. https://doi.org/10.1007/s10207-022-00638-y
Ashrafi, B., Kim, G., Naseri, M., Barabady, J., Dhar, S., & Heo, G. (2024). An agent-based modelling framework for performance assessment of search and rescue operations in the Barents Sea. Safety in Extreme Environments, 6, 183–200. https://doi.org/10.1007/s42797-024-00101-2
Basarnas. (2023). Laporan Operasional Basarnas Command Centre.
Chen, J., Li, S., Liu, D., & Li, X. (2020). AiRobSim: Simulating a multisensor aerial robot for urban search and rescue operation and training. Sensors, 20, 5223. https://doi.org/10.3390/s20185223
Choutri, K., Lagha, M., & Dala, L. (2021). A fully autonomous search and rescue system using quadrotor UAV. International Journal of Computing and Digital Systems, 10(1). https://doi.org/10.12785/ijcds/100140
Cruz Ulloa, C., Prieto Sánchez, G., Barrientos, A., & Del Cerro, J. (2021). Autonomous Thermal Vision Robotic System for Victims Recognition in Search and Rescue Missions. Sensors, 21(7346). https://doi.org/10.3390/s21217346
Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The SAGE Handbook of Qualitative Research (4th ed.). SAGE Publications.
Espinós Longa, M., Tsourdos, A., & Inalhan, G. (2022). Human–Machine Network Through Bio-Inspired Decentralized Swarm Intelligence and Heterogeneous Teaming in SAR Operations. Journal of Intelligent & Robotic Systems, 105, 88. https://doi.org/10.1007/s10846-022-01690-5
Fadhiil, M. D., & Afriansyah, A. (2022). Strategic development of Indonesia’s outermost islands as an enhancement of national maritime defense and sovereignty. Udayana Journal of Law and Culture, 6(1), 83–107. https://doi.org/10.24843/UJLC.2022.v06.i01.p05
Garred, J., & Westbrook, R. A. (2021). Enhancing maritime security through interagency collaboration. Journal of Defense and Security, 9(1), 110–124. https://doi.org/10.1145/1118301.1118302
Habibian, S., Dadvar, M., Peykari, B., Hosseini, A., Salehzadeh, M. H., Hosseini, A. H. M., & Najafi, F. (2021). Design and Implementation of a Maxi-Sized Mobile Robot (Karo) for Rescue Missions. Robomech Journal, 8(1). https://doi.org/10.1186/s40648-020-00188-9
Hashimoto, A., Heintzman, L., Koester, R., & Abaid, N. (2022). An agent-based model reveals lost person behavior based on data from wilderness search and rescue. Scientific Reports, 12, 5873. https://doi.org/10.1038/s41598-022-09502-4
Hu, Q., Wei, W., Wu, D., Huang, F., Li, M., Li, W., Yin, J., Peng, Y., Lu, Y., Zhao, Q., & Liu, L. (2022). Blockade of GCH1/BH4 axis activates ferritinophagy to mitigate the resistance of colorectal cancer to erastin-induced ferroptosis. Frontiers in Cell and Developmental Biology, 10, 810327. https://doi.org/10.3389/fcell. 2022.810327
Indra, Z., Setiawan, A., Jusman, Y., & Adnan, A. (2021). Machine learning deployment for arms dynamics pattern recognition in Southeast Asia region. Indonesian Journal of Electrical Engineering and Computer Science, 23(3), 1654–1662. https://doi.org/10.11591/ijeecs.v23.i3.pp1654-1662
Kundid Vasić, M., & Papić, V. (2022). Improving the Model for Person Detection in Aerial Image Sequences Using the Displacement Vector: A Search and Rescue Scenario. Drones, 6, 19. https://doi.org/10.3390/drones6010019 contentReference[oaicite:3]{index=3}.
Li, Z., Bai, X., Jiao, S., Li, Y., Li, P., Yang, Y., Zhang, H., & Wei, G. (2021). A simplified synthetic community rescues Astragalus mongholicus from root rot disease by activating plant-induced systemic resistance. Microbiome, 9(217). https://doi.org/10.1186/s40168-021-01169-9
Mahmoud, H., Kurniawan, I. F., Aneiba, A., & Asyhari, A. T. (2024). Enhancing Detection of Remotely-Sensed Floating Objects via Data Augmentation for Maritime SAR. Journal of the Indian Society of Remote Sensing, 52(6), 1285–1295. https://doi.org/10.1007/s12524-024-01869-3
Mehmood, A., Iqbal, Z., Shah, A. A., Maple, C., & Lloret, J. (2023). An intelligent cluster-based communication system for multi-unmanned aerial vehicles for searching and rescuing. Electronics, 12, 607. https://doi.org/10.3390/electronics 12030607
Nam, J., Hwang, Y., Kim, J., Kim, J., & Park, S.-G. (2024). A First-Order Noise-Shaping SAR ADC with PVT-Insensitive Closed-Loop Dynamic Amplifier and Two CDACs. Electronics, 13(1758). https://doi.org/10.3390/electronics13091758
Partheepan, S., Sanati, F., & Hassan, J. (2023). Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities. Drones, 7(47). https://doi.org/10.3390/drones7010047
Prout, T. A., Zilcha-Mano, S., Aafjes-van Doorn, K., Békés, V., Christman-Cohen, I., Whistler, K., Kui, T., & Di Giuseppe, M. (2020). Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach. Frontiers in Psychology, 11, 586202. https://doi.org/10.3389/fpsyg. 2020.586202contentReference[oaicite:2]{index=2}.
Qian, X., Ren, R., Wang, Y., Guo, Y., Fang, J., Wu, Z.-D., & Liu, P.-L. (2020). Fighting against the common enemy of COVID-19: A practice of building a community with a shared future for mankind. Infectious Diseases of Poverty, 9(1), 34. https://doi.org/10.1186/s40249-020-00650-1
Sarshar, M., Behzadi, P., Scribano, D., Palamara, A. T., & Ambrosi, C. (2021). Acinetobacter baumannii: An Ancient Commensal with Weapons of a Pathogen. Pathogens, 10(387). https://doi.org/10.3390/pathogens10040387
Schmidt, A., & Johnson, P. (2021). International collaborations in maritime SAR operations. Journal of Global Maritime Affairs, 18(1), 75–92. https://doi.org/10.1177/2042918821103415
Smith, J. (2020). International Maritime Organization and global mandates for maritime safety. Journal of Maritime Safety and Security, 12(2), 101–115. https://doi.org/10.1177/1028315320912341
Tesson, F., & Doyle, M. (2022). Maritime defense systems and their role in national security. Defense Technology Review, 16(4), 210–223. https://doi.org/10.1016/j.dtr.2022.01.005
Yao, J., Xiao, S., Deng, Q., Wen, G., Tao, H., & Du, J. (2023). An enhanced target detection algorithm for maritime search and rescue based on aerial images. Remote Sensing, 15, 4818. https://doi.org/10.3390/rs15194818
Yao, J., Xiao, S., Deng, Q., Wen, G., Tao, H., & Du, J. (2023). An infrared maritime small target detection algorithm based on semantic, detail, and edge multidimensional information fusion. Remote Sensing, 15, 4909. https://doi.org/10.3390/rs15204909
Zhang, R., Li, H., Duan, K., You, S., Liu, K., Wang, F., & Hu, Y. (2020). Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging. Remote Sensing, 12(2621). https://doi.org/10.3390/rs12162621
Zhang, Y., Yin, Y., & Shao, Z. (2023). An enhanced target detection algorithm for maritime search and rescue based on aerial images. Remote Sensing, 15, 4818.
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