Pemanfaatan Teknologi Geospatial Intelligence (GEOINT) untuk Peningkatan Keamanan dan Pengelolaan Maritim di Indonesia

Main Article Content

Yeri Kusmantoro
Trismadi Trismadi
Gentio Harsono

Abstract

            Indonesia, as the largest archipelagic country in the world, faces significant challenges in maintaining maritime security and managing its marine resources. In this context, Geospatial Intelligence (GEOINT) has emerged as an important tool that can support maritime security strategies and management effectively. This study uses a literature study method to explore the role of GEOINT in supporting Indonesia's national security. The analysis was conducted by reviewing various literatures that discuss the application of GEOINT in maritime security, traffic surveillance, natural resource management, and emergency responsse to disasters. The results of the study indicate that GEOINT plays a crucial role in improving maritime surveillance through the use of satellite imagery, space sensors, and predictive analytics. This technology also supports maritime traffic management, marine resource conservation, and recovery after maritime disasters. However, the implementation of GEOINT in Indonesia still faces several challenges, including limited technological infrastructure and inter-agency coordination. The conclusion of this study emphasizes the importance of investing in GEOINT technology and increasing human resource capacity to maximize the potential of GEOINT in supporting Indonesia's maritime security. International collaboration and the development of supportive policies are also needed to overcome existing challenges and ensure the success of GEOINT implementation in Indonesia.

Article Details

How to Cite
Kusmantoro, Y., Trismadi, T., & Harsono, G. (2024). Pemanfaatan Teknologi Geospatial Intelligence (GEOINT) untuk Peningkatan Keamanan dan Pengelolaan Maritim di Indonesia. Journal on Education, 7(1), 8218-8235. https://doi.org/10.31004/joe.v7i1.7653
Section
Articles

References

Aase, J. G. (2017). The Ortelius Incident in the Hinlopen Strait—A Case Study on How Satellite-Based AIS Can Support Search and Rescue Operations in Remote Waters. Resources, 6(3). https://doi.org/10.3390/resources6030035
Abimanyu, A., Pranowo, W. S., Faizal, I., Afandi, N. K. A., & Purba, N. P. (2021). Reconstruction of oil spill trajectory in the Java Sea, Indonesia using sar imagery. Geography, Environment, Sustainability, 14(1), 177–184. https://doi.org/10.24057/2071-9388-2020-21
Aguzzi, J., Chatzievangelou, D., Francescangeli, M., Marini, S., Bonofiglio, F., Del Rio, J., & Danovaro, R. (2020). The hierarchic treatment of marine ecological information from spatial networks of benthic platforms. Sensors (Switzerland), 20(6). https://doi.org/10.3390/s20061751
Ajmar, A., Annunziato, A., Boccardo, P., Tonolo, F. G., & Wania, A. (2019). Tsunami modeling and satellite-based emergency mapping: Workflow integration opportunities. Geosciences (Switzerland), 9(7). https://doi.org/10.3390/geosciences9070314
Al-Ruzouq, R., Gibril, M. B. A., Shanableh, A., Kais, A., Hamed, O., Al-Mansoori, S., & Khalil, M. A. (2020). Sensors, features, and machine learning for oil spill detection and monitoring: A review. Remote Sensing, 12(20), 1–42. https://doi.org/10.3390/rs12203338
Arief, M. (2012). Pemetaan Muatan Padatan Tersuspensi Menggunakan Data Satelit Landsat (Studi Kasus: Teluk Semangka). Jurnal Penginderaan Jauh, 9(1), 67–75.
Arslan, N. (2018). Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environmental Monitoring and Assessment, 190(11). https://doi.org/10.1007/s10661-018-7017-4
Bošnjak, R., Kezić, D., Belamarić, G., & Krile, S. (2021). Modelling of vts supervisor by algorithm based on petri net: Case study of dover incident. Transport, 36(4), 305–316. https://doi.org/10.3846/transport.2021.15824
Capobianco, S., Forti, N., Millefiori, L. M., Braca, P., & Willett, P. (2023). Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation. IEEE Transactions on Aerospace and Electronic Systems, 59(3), 2554–2565. https://doi.org/10.1109/TAES.2022.3216823
Dahana, U., & Gurning, R. O. S. (2020). Maritime Aerial Surveillance: Integration Manual Identification System to Automatic Identification System. IOP Conference Series: Earth and Environmental Science, 557(1). https://doi.org/10.1088/1755-1315/557/1/012014
Delevaux, J. M. S., & Stamoulis, K. A. (2022). Prioritizing forest management actions to benefit marine habitats in data-poor regions. Conservation Biology, 36(2), 1–12. https://doi.org/10.1111/cobi.13792
Dold, J., & Groopman, J. (2017). The future of geospatial intelligence. Geo-Spatial Information Science, 20(2), 151–162. https://doi.org/10.1080/10095020.2017.1337318
Febriawan, H. K., Haryadi, Y., & Nurwahyudy, A. (2020). Hydro-acoustic Survey and Edge-detection method in Investigation of a Passenger Vessel Accident in East Java, Indonesia. Buletin Oseanografi Marina, 9(1), 59–68. https://doi.org/10.14710/buloma.v9i1.29442
Fitriani, S. P., Gaol, J. L., & Kushardono, D. (2020). Fishing-Vessel Detection Using Synthetic Aperture Radar (Sar) Sentinel-1 (Case Study: Java Sea). International Journal of Remote Sensing and Earth Sciences (IJReSES), 16(2), 131. https://doi.org/10.30536/j.ijreses.2019.v16.a3235
Fridman, N., Amir, D., Douchan, Y., & Agmon, N. (2019). Satellite detection of moving vessels in marine environments. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 9452–9459. https://doi.org/10.1609/aaai.v33i01.33019452
Gade, M., Mayer, B., Meier, C., Pohlmann, T., Putri, M., & Setiawan, A. (2017). Oil pollution in Indonesian waters: Combining statistical analyses of ENVISAT ASAR and sentinel-1A C-SAR data with numerical tracer modelling. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(3W2), 71–77. https://doi.org/10.5194/isprs-archives-XLII-3-W2-71-2017
Gita Prissandi, Surya Wiranto, Budiman Djoko Said, Pujo Widodo, Herlina Juni Risma Saragih, & Panji Suwarno. (2023). Reformulation of Regulations in the Context of Structuring the Indonesian Maritime Security Regime. International Journal Of Humanities Education and Social Sciences (IJHESS), 2(6), 1969–1983. https://doi.org/10.55227/ijhess.v2i6.533
Gray, P. C., Ridge, J. T., Poulin, S. K., Seymour, A. C., Schwantes, A. M., Swenson, J. J., & Johnston, D. W. (2018). Integrating drone imagery into high resolution satellite remote sensing assessments of estuarine environments. Remote Sensing, 10(8). https://doi.org/10.3390/rs10081257
Gunawan, D., Budiyanto, S., Beji, K., Depok, K., Barat, J., Mercu Buana, U., Raya, J., Sel, M., Kembangan, K., & Khusus Ibukota Jakarta, D. (2024). Pemanfaatan Teknologi Penginderaan dalam Penentuan Pola Sebaran Biota Laut untuk Pencegahan Ilegal Fishing pada Laut Natuna Utara Guna Mendukung Sistem Pertahanan Negara. Journal on Education, 06(02), 14035–14045.
Gunawan, Utomo, A., Pambudi, G., Hamada, K., & Yanuar. (2023). Optimization of Shipping Routes for Container Ships from Indonesia to the Asia-Pacific Using Heuristic Algorithms. Journal of Marine Science and Engineering, 11(7). https://doi.org/10.3390/jmse11071360
Gustasya, Y., Situmorang, R. P., & Harryes, R. K. (2023). The Early Warning System Effectiveness of the Maritime Security Agency of the Republic of Indonesia (Bakamla RI) in the Prevention of Drug Invention through the Sea Lane. Jurnal Pertahanan: Media Informasi Ttg Kajian & Strategi Pertahanan Yang Mengedepankan Identity, Nasionalism & Integrity, 9(1), 92. https://doi.org/10.33172/jp.v9i1.7430
Hadi, F., Nur, H. I., Maharani, N. K. P., Permana, C. B. S., Buana, I. G. N. S., & Ardhi, E. W. (2021). Search and rescue station location selection and conceptual design: A case study of western region of Indonesia. IOP Conference Series: Earth and Environmental Science, 649(1). https://doi.org/10.1088/1755-1315/649/1/012069
Haidul Firman Sitorus, Budiman Djoko Said, Panji Suwarno, Pujo Widodo, & Herlina Juni Risma Saragih. (2023). Maritime Patrol Collaboration with Indonesian Maritime Law Enforcement Agencies. International Journal Of Humanities Education and Social Sciences (IJHESS), 2(5), 1575–1580. https://doi.org/10.55227/ijhess.v2i5.437
Harrison, D. P., Hinton, M. G., Kohin, S., Armstrong, E. M., Snyder, S., O’Brien, F., & Kiefer, D. K. (2017). The pelagic habitat analysis module for ecosystem-based fisheries science and management. Fisheries Oceanography, 26(3), 316–335. https://doi.org/10.1111/fog.12194
Ilcev, D. S. (2020). Space remote sensing and detecting systems of oceangoing ships. Transactions on Maritime Science, 9(2), 187–205. https://doi.org/10.7225/toms.v09.n02.004
Indra Priyatna, & Antoine Gatinaud. (2020). The Role of Vessel Traffic Services in Traffic Separation Scheme. Prosiding Politeknik Ilmu Pelayaran Makassar, 1(4), 10–21. https://doi.org/10.48192/prc.v1i4.317
Jang, D. U., & Kim, J. S. (2022). Development of Ship Route-Planning Algorithm Based on Rapidly-Exploring Random Tree (RRT*) Using Designated Space. Journal of Marine Science and Engineering, 10(12). https://doi.org/10.3390/jmse10121800
Kane, S. N., Mishra, A., & Dutta, A. K. (2016). Preface: International Conference on Recent Trends in Physics (ICRTP 2016). Journal of Physics: Conference Series, 755(1). https://doi.org/10.1088/1742-6596/755/1/011001
Kimothi, S., Thapliyal, A., Singh, R., Rashid, M., Gehlot, A., Akram, S. V., & Javed, A. R. (2023). Comprehensive Database Creation for Potential Fish Zones Using IoT and ML with Assimilation of Geospatial Techniques. Sustainability (Switzerland) , 15(2). https://doi.org/10.3390/su15021062
LaRue, M., Brooks, C., Wege, M., Salas, L., & Gardiner, N. (2022). High-resolution satellite imagery meets the challenge of monitoring remote marine protected areas in the Antarctic and beyond. Conservation Letters, 15(4), 1–8. https://doi.org/10.1111/conl.12884
Mahyudin, E., Alam, G. N., Affandi, R. N., Dermawan, W., & Azmi, F. (2022). Challenges and Implications of Indonesia’s Strategic Position in Maritime Security. Journal of Governance, 7(2), 437–442. https://doi.org/10.31506/jog.v7i2.15169
Marsetio. (2017). Indonesia Sea Power and Regional Marsec. In Journal of Maritime Studies and National integration (Vol. 1, Issue 1). http://creativecommons.org/licenses/by-nc-sa/4.0.
Maulidi, A., Irmiyana, T., Ilman, A. F., Annafiyah, & Kuzzairi. (2022). The development of internet-of-things (IoT)-based safety monitoring system in north sea madura. IOP Conference Series: Earth and Environmental Science, 972(1). https://doi.org/10.1088/1755-1315/972/1/012013
Migliaccio, M., Buono, A., & Alparone, M. (2022). Microwave satellite remote sensing for a sustainable sea. European Journal of Remote Sensing, 55(1), 507–519. https://doi.org/10.1080/22797254.2022.2126798
Muhamad, M. A. H., Hasan, R. C., Said, N. M., Said, M. S. M., & Razali, R. (2023). Marine Habitat Mapping using Multibeam Echosounder Survey and Underwater Video Observations: A Case Study from Tioman Marine Park. IOP Conference Series: Earth and Environmental Science, 1240(1). https://doi.org/10.1088/1755-1315/1240/1/012006
NSG. (2018). Geospatial Intelligence (GEOINT) Basic Doctrine 1.0 (Issue April). THE NATIONAL SYSTEM FOR GEOSPATIAL INTELLIGENCE (NSG).
Okita, Y., & Shaw, R. (2020). Search and rescue team classification: BASARNAS of Indonesia. Australian Journal of Emergency Management, 35(2), 73–79.
Pike, S., Traganos, D., Poursanidis, D., Williams, J., Medcalf, K., Reinartz, P., & Chrysoulakis, N. (2019). Leveraging commercial high-resolution multispectral satellite and multibeam sonar data to estimate bathymetry: The case study of the Caribbean Sea. Remote Sensing, 11(15), 1–16. https://doi.org/10.3390/rs11151830
Purnahayu, I., Eosina, P., Susetyo, B., & Nurhayati, I. (2020). Indonesian universities readiness in providing professional HR in geospatial information. International Journal of Modern Education and Computer Science, 12(3), 26–32. https://doi.org/10.5815/ijmecs.2020.03.04
Rasyid, E., Artana, K. B., & Sambodho, K. (2022). Development of the Hub and Spoke network model in natural disaster management. IOP Conference Series: Earth and Environmental Science, 1081(1). https://doi.org/10.1088/1755-1315/1081/1/012032
Ribeiro, R., Cruz, G., Matos, J., & Bernardino, A. (2019). A Data Set for Airborne Maritime Surveillance Environments. IEEE Transactions on Circuits and Systems for Video Technology, 29(9), 2720–2732. https://doi.org/10.1109/TCSVT.2017.2775524
Ridha, S., & Kamil, P. A. (2021). The Problems of Teaching Geospatial Technology in Developing Countries: Concepts, Curriculum, and Implementation in Indonesia. Journal of Geography, 120(2), 72–82. https://doi.org/10.1080/00221341.2021.1872681
Rusdiana, I. W., & Duta, D. R. (2022). Analisis Peta Geospasial Tindak Pidana Di Laut Guna Mendukung Gelar Operasi Keamanan Laut Tni Al Di Wilayah Kerja Koarmada I. Jurnal Maritim Indonesia, 209–226. https://jurnalmaritim.tnial.mil.id/index.php/IMJ/article/view/124
Sitorus, H. F., & Said, B. D. (2023). Synergy Among the Indonesia Maritime Security Institutions in Conducting Maritime Patrol. Jurnal Pertahanan: Media Informasi Ttg Kajian & Strategi Pertahanan Yang Mengedepankan Identity, Nasionalism & Integrity, 9(1), 30. https://doi.org/10.33172/jp.v9i1.7890
Soldi, G., Gaglione, D., Forti, N., Millefiori, L. M., Braca, P., Carniel, S., Simone, A. Di, Iodice, A., Riccio, D., Daffina, F. C., Quattrociocchi, D., Bottini, G., Willett, P., & Farina, A. (2021). Space-Based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques. IEEE Aerospace and Electronic Systems Magazine, 36(9), 30–42. https://doi.org/10.1109/MAES.2021.3070884
Soldi, G., Gaglione, D., Forti, N., Simone, A. Di, Daffina, F. C., Bottini, G., Quattrociocchi, D., Millefiori, L. M., Braca, P., Carniel, S., Willett, P., Iodice, A., Riccio, D., & Farina, A. (2021). Space-Based Global Maritime Surveillance. Part I: Satellite Technologies. IEEE Aerospace and Electronic Systems Magazine, 36(9), 8–28. https://doi.org/10.1109/MAES.2021.3070862
Suseto, B., Othman, Z., & Razalli, F. M. (2019). The need to reform Indonesia’s maritime strategy: A review. Indonesian Journal of Geography, 50(2), 145–154. https://doi.org/10.22146/ijg.27954
Sutisna, & Rofii, M. S. (2022). Jurnal Kajian Stratejik Ketahanan Nasional Intelijen Strategis BAKAMLA RI dalam Melaksanakan Kolaborasi Institusi Keamanan Maritim untuk Ketahanan Nasional Intelijen Strategis BAKAMLA RI dalam Melaksanakan Kolaborasi Institusi Keamanan Maritim untuk Ketah. Jurnal Kajian Stratejik Ketahanan Nasional, 5(1), 4–19. https://doi.org/10.7454/jkskn.v5i1.10058
Tarno, S., & Nurmala, N. (2023). Investigation of fisheries resources through digital fisheries applications towards a culture community in the revolution 5.0. International Journal of Chemical & Material Sciences, 6(1), 1–9. https://doi.org/10.21744/ijcms.v6n1.2059
Trasviña-Moreno, C. A., Blasco, R., Marco, Á., Casas, R., & Trasviña-Castro, A. (2017). Unmanned aerial vehicle based wireless sensor network for marine-coastal environment monitoring. Sensors (Switzerland), 17(3), 1–22. https://doi.org/10.3390/s17030460
Tussadiah, A., Sujiwo, A. S., Andesta, I., & Daeli, W. (2021). Assessment of coastal ecosystem services and its condition for policy management plan in East Nusa Tenggara, Indonesia. Regional Studies in Marine Science, 47, 101941. https://doi.org/10.1016/j.rsma.2021.101941
Utiarahman, S. A., & D. Ali, S. (2020). Sistem Informasi Geografis Potensi Sumber Daya Alam di Wilayah Kabupaten Banggai Kepulauan Berbasis Android. Jurnal Informatika Upgris, 6(1), 187–198. https://doi.org/10.26877/jiu.v6i1.5221
Vasilopoulos, E., Vosinakis, G., Krommyda, M., Karagiannidis, L., Ouzounoglou, E., & Amditis, A. (2022). Autonomous Object Detection Using a UAV Platform in the Maritime Environment. Lecture Notes in Business Information Processing, 446 LNBIP, 567–579. https://doi.org/10.1007/978-3-031-05760-1_33
Wedding, L. M., Maxwell, S. M., Hyrenbach, D., Dunn, D. C., Roberts, J. J., Briscoe, D., Hines, E., & Halpin, P. N. (2016). Geospatial approaches to support pelagic conservation planning and adaptive management. Endangered Species Research, 30(1), 1–9. https://doi.org/10.3354/esr00716
Wolsing, K., Roepert, L., Bauer, J., & Wehrle, K. (2022). Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches. Journal of Marine Science and Engineering, 10(1). https://doi.org/10.3390/jmse10010112
Xing, J., Yu, B., Yang, D., Li, J., Shi, Z., Zhang, G., & Wang, F. (2022). A Real-Time GNSS-R System for Monitoring Sea Surface Wind Speed and Significant Wave Height. Sensors, 22(10), 1–20. https://doi.org/10.3390/s22103795
Yang, L., Su, J., & Li, X. (2019). Ship detection in SAR images based on deep convolutional neural network. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 41(9), 1990–1997. https://doi.org/10.3969/j.issn.1001-506X.2019.09.11
Yu, H., Murray, A. T., Fang, Z., Liu, J., Peng, G., Solgi, M., & Zhang, W. (2022). Ship Path Optimization That Accounts for Geographical Traffic Characteristics to Increase Maritime Port Safety. IEEE Transactions on Intelligent Transportation Systems, 23(6), 5765–5776. https://doi.org/10.1109/TITS.2021.3057907