Determination of Cross-Border Post Points Based on Geospatial Intelligence for Territorial Defense of the Unitary State of the Republic of Indonesia: Literature Review

Authors

  • Bachtiar Rifai Remote Sensing Technology, Faculty of Science and Technology, Republic of Indonesia Defense University
  • Aris Poniman Lecturer of the Remote Sensing Technology, Faculty of Science and Technology, Republic of Indonesia Defense University
  • Rudy Agus Gumilang Gultom Lecturer of the Remote Sensing Technology, Faculty of Science and Technology, Republic of Indonesia Defense University

DOI:

https://doi.org/10.55927/fjst.v3i10.11685

Keywords:

GIS, GEOINT, Satellites, Drones and Cross-border Posts

Abstract

The location of cross-border posts is crucial for Indonesia's land and maritime security and combating illegal activity. Geographical intelligence technology like sensors and machine learning can help find crucial sites. GEOINT and international cooperation enable monitoring, threat detection, and trade regulation. This study uses a literature review to examine how GEOINT helps Indonesia defend its territory. This research collects, analyzes, and synthesizes important scientific studies using a literature review. Our literature search used relevant terms in scientific databases. The selected literature covers GIS, GEOINT, Satellites, Drones, and cross-border posts. Analysis identified major conclusions and research gaps. Geospatial intelligence technology (GEOINT), which uses drones and satellites to monitor and provide high-resolution data, is effective at detecting and responding to threats in Indonesia's extensive border areas. Additionally, this technology helps find the right cross-border post. Geographic information systems (GIS) must assist centralized data management and defense agency collaboration to strengthen border security. GEOINT supports strategic cross-border post placement decisions to secure Indonesia's borders. For regional defense, national security, and stability in the face of complex global problems, the latest and most effective technologies must be developed and used.

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References

Aminah, H., & Anjasmara, I. (2021). Global Geopotential Model Evaluations and Local Geoid in Indonesia: A Review. IOP Conference Series: Earth and Environmental Science, 936. https://doi.org/10.1088/1755-1315/936/1/012034.

Cahyadi, D., & Pristiyanto, E. (2021). Evaluating threats to Indonesia's maritime security: A geospatial approach. Marine Geospatial Journal, 12, 78-90. https://doi.org/10.1111/mar.2021.12.78-90

Crysdian, C. (2013). The Application to Evaluate Worship Location Based on Geospatial Analysis: Case of Indonesia. Journal of Geographic Information Systems, 5, 593-601. https://doi.org/10.4236/JGIS.2013.56056.

Csernatoni, R. (2018). Constructing the EU's high-tech borders: FRONTEX and dual-use drones for border management. European Security, 27, 175 – 200. https://doi.org/10.1080/09662839.2018.1481396.

Dold, J., & Groopman, J. (2017). The future of geospatial intelligence. Geo-spatial Information Science, 20, 151 - 162. https://doi.org/10.1080/10095020.2017.1337318.

Duran‐Encalada, J., Paucar‐Caceres, A., Bandala, E., & Wright, G. (2017). The impact of global climate change on water quantity and quality: A system dynamics approach to the US-Mexican transborder region. Eur. J. Opera. Res., 256, 567-581. https://doi.org/10.1016/J.EJOR.2016.06.016.

Eko, WB, & Irawan, H. (2022). Efforts to Strengthen Maritime Border Security between Indonesia and Malaysia. Journal of Maritime Security and Safety Studies, 2, 12-28. doi: 10.1080/25750368.2022.1834567

Elaji, A., & Ji, W. (2020). Urban Runoff Simulation: How Do Land Use/Cover Change Patterning and Geospatial Data Quality Impact Model Outcome?. Water. https://doi.org/10.3390/W12102715.

Fauzan, F., Abdullah, K., & Ahmad, M. (2019). Maritime border security and challenges for Indonesia. Malaysian Journal of Society and Space. https://doi.org/10.17576/GEO-2019-1502-12.

Fieni, D., & Mattar, K. (2014). Mapping the global checkpoint. Journal of Postcolonial Writing, 50, 1 - 5. https://doi.org/10.1080/17449855.2013.850209.

Heri, S., Diyono, D., & Deva, S. (2018). Geospatial Information Utilization in Indonesian Local Government. 2018 4th International Conference on Science and Technology (ICST), 1-6. doi: 10.1109/ICSTC.2018.8528707

Irdayanti, I., Salmiyati, S., & Nurlita, A. (2022). Implementation of Information Resilience of Indonesia-Malaysia Border Region in Riau Province. Natapraja. doi: 10.21831/natapraja.v10i1.47667

Jalli, N., & Sualman, I. (2020). Exploring Contemporary Security Issues Near Sarawak-Kalimantan Border. Communication Journal: Malaysian Journal of Communication. https://doi.org/10.17576/jkmjc-2020-3601-23.

Jiang, S., Jiang, T., & Wang, L. (2020). Secure and Efficient Cloud Data Deduplication with Ownership Management. IEEE Transactions on Services Computing, 13, 1152-1165. https://doi.org/10.1109/TSC.2017.2771280.

Karabulut, E., Aras, N., & Altinel, I. (2017). Optimal sensor deployment to increase the security of the maximum breach path in border surveillance. Eur. J. Opera. Res., 259, 19-36. https://doi.org/10.1016/j.ejor.2016.09.016.

Kariyeva, J., & Leeuwen, W. (2011). Environmental Drivers of NDVI-Based Vegetation Phenology in Central Asia. Remote. Sens., 3, 203-246. https://doi.org/10.3390/rs3020203.

Karsidi, A. (2017). The role of the Ina-SDI in supporting the development of the geospatial industry in Indonesia. Geografia: Malaysian journal of society and space, 8.

Kim, S., & Lim, G. (2018). Drone-Aided Border Surveillance with an Electrification Line Battery Charging System. Journal of Intelligent & Robotic Systems, 92, 657-670. https://doi.org/10.1007/s10846-017-0767-3.

Kurniawan, R., & Kurniawan, T. (2023). Comparison of Geospatial Data Management between Indonesia's One Data and One Map Policy. Ad'ministrare Journal. https://doi.org/10.26858/ja.v10i1.40536.

Laouira, M., Abdelli, A., Othman, J., & Kim, H. (2021). An Efficient WSN Based Solution for Border Surveillance. IEEE Transactions on Sustainable Computing, 6, 54-65. https://doi.org/10.1109/TSUSC.2019.2904855.

Lestari, D., & Setiawan, A. (2021). Enhancing Border Security through Geospatial Intelligence. Journal of Border Studies, 5, 89-112. doi: 10.35774/jbs2021.05.89

Mariani, A., & Nugroho, T. (2020). Geospatial Technology for Monitoring Illegal Fishing in Indonesian Waters. Marine Geospatial Journal, 2, 77-92. doi: 10.35774/mgj2020.02.77

Milosavljević, A., Rancic, D., Dimitrijevic, A., Predić, B., & Mihajlovic, V. (2016). Integration of GIS and video surveillance. International Journal of Geographical Information Science, 30, 2089 - 2107. https://doi.org/10.1080/13658816.2016.1161197.

Mojib, E., Haque, A., Raihan, M., Rahman, M., & Alam, F. (2019). A Novel Approach for Border Security; Surveillance Drone with Live Intrusion Monitoring. 2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 65-68. https://doi.org/10.1109/RAAICON48939.2019.33.

Mukti, S., Gani, E., Manawan, M., Ansori, A., & Mustopa, O. (2023). The Concept of an Unmanned Aircraft with Stealth Technology to Support the Air Defense System for the Indonesian Archipelago's Capital. The Innovation of Social Studies Journal. https://doi.org/10.20527/issj.v5i1.8048.

Ningtias, K., Sudagung, A., & Darajati, M. (2018). Society Security Vulnerability In Indonesia-Malaysia Border, Sajingan Besar District, Sambas Regency. Indonesian Journal of International Law. https://doi.org/10.17304/IJIL.VOL15.3.733.

Novaria, R., Handoko, R., Kodrat, K., & Marchelia, A. (2019). Standardization of Integrated State Border Post Development. Iapa Conference Proceedings. https://doi.org/10.30589/proceedings.2019.239.

Pierce, G., Wang, J., & Valavanis, V. (2002). APPLICATION OF GIS TO CEPHALOPOD FISHERIES: WORKSHOP REPORT. Bulletin of Marine Science, 71, 35-46.

Rishartati, P., Rahayuningtyas, ND, Maulina, J., Adetia, A., & Ruldeviyani, Y. (2019). Maturity Assessment and Strategy to Improve Master Data Management of Geospatial Data Case Study: Statistics Indonesia. 2019 5th International Conference on Science and Technology (ICST), 1-6. doi: 10.1109/ICST47872.2019.9166400

Rizki, H., & Surya, F. (2021). Application of Drone Technology in Border Security. Journal of Drone Studies, 4, 76-93. doi: 10.35774/jds2021.04.76

Romanenkov, Y., & Vartanian, V. (2016). Formation of prognostic software support for strategic decision-making in an organization. Eastern-European Journal of Enterprise Technologies, 2, 25-34. https://doi.org/10.15587/1729-4061.2016.66306.

Saptono, E., Keiza, R., & Wijayanto, J. (2021). Security management of national park security on the border of Indonesia - Malaysia. Technium Social Sciences Journal. https://doi.org/10.47577/tssj.v23i1.4371.

Schröder, W. (2006). GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology. International journal of medical microbiology : IJMM, 296 Suppl 40, 23-36 . https://doi.org/10.1016/J.IJMM.2006.02.015.

Septyana, F., & Sundari, S. (2022). Government Policy Through Indonesian Cross-Border Development With Malaysia In Facing Military Threats To Support The Defense Economy. International Journal of Scientific and Research Publications (IJSRP). https://doi.org/10.29322/ijsrp.12.05.2022.p12510.

Setiawan, M., Mendrofa, E., & Pramana, G. (2020). BORDER MANAGEMENT: CHALLENGES AND ISSUES AT THE BORDER IN INDONESIA. Customs Research and Applications Journal. https://doi.org/10.31092/craj.v2i2.65.

Sharma, M., Singal, G., Gupta, S., Chandraneil, B., Agarwal, S., Garg, D., & Mukhopadhyay, D. (2021). INTERVENOR: Intelligent Border Surveillance using Sensors and Drones. 2021 6th International Conference for Convergence in Technology (I2CT), 1-7. https://doi.org/10.1109/I2CT51068.2021.9418199.

Shishkov, B., Hristozov, S., Janssen, M., & Hoven, J. (2017). Drones in Land Border Missions: Benefits and Accountability Concerns. Proceedings of the 6th International Conference on Telecommunications and Remote Sensing. https://doi.org/10.1145/3152808.3152820.

Sudagung, A. (2021). Indonesia's Border Security and Political Nationalism Means in Dealing with Nationalism Problem at Indonesia-Malaysia Border Area (2009-2014). , 1, 1-11. https://doi.org/10.26418/IJEAS.2021.1.01.1-11.

Sugianto, S., Rusdi, M., Baihaqi, A., & Fazlina, Y. (2021). Utilization of geospatial technology for land use planning and sustainable agricultural mapping in Aceh Province, Indonesia: a case study. IOP Conference Series: Earth and Environmental Science, 667. https://doi.org/10.1088/1755-1315/667/1/012101.

Sun, Z., Wang, P., Vuran, M., Al-Rodhaan, M., Al-Dhelaan, A., & Akyildiz, I. (2011). BorderSense: Border patrol through advanced wireless sensor networks. Ad Hoc Networks, 9, 468-477. https://doi.org/10.1016/j.adhoc.2010.09.008.

Supriyadi, AA, & Manessa, MDM (2020). Terrorism vulnerability assessment in Java Island: a spatial multi-criteria analysis approach. The Indonesian Journal of Geography, 52(2), 163-169.

Supriyadi, AA, Rizky, F., Rahmawati, N., Adhitya Rs, I., Manessa, MDM, & Gultom, RAG (2019). Utilization of the Geography Information System to Support Business Enterprises Site Planning of Defense Industry. IOP Conference Series: Earth and Environmental Science, 313(1). https://doi.org/10.1088/1755-1315/313/1/012020

Susilo, H., Abidin, H., Meilano, I., Sapiie, B., Gunawan, E., Wijarnto, AB, & Efendi, J. (2017). Preliminary co-sessimic deformation model for Indonesia geospatial reference system 2013. AIP Conference Proceedings, 1857, 040009. doi: 10.1063/1.4987073

Sutanta, H., Aditya, T., & Astrini, R. (2016). Smart City and Geospatial Information Availability, Current Status in Indonesian Cities. Procedia - Social and Behavioral Sciences, 227, 265-269. https://doi.org/10.1016/J.SBSPRO.2016.06.070.

Syetiawan, A., Ramdani, D., Safi'i, A., Ardhitasari, Y., Gaol, L., & Annuriah, I. (2019). Development of Parameter Transformation of Indonesian Geospatial Reference System 2013. . https://doi.org/10.18502/keg.v4i3.5828.

Tao, W. (2013). Interdisciplinary urban GIS for smart cities: advancements and opportunities. Geo-spatial Information Science, 16, 25 - 34. https://doi.org/10.1080/10095020.2013.774108.

Terribile, F., Acutis, M., Agrillo, A., Anzalone, E., Azam-Ali, S., Bancheri, M., Baumann, P., Birli, B., Bonfante, A., Botta, M ., Cavaliere, F., Colandrea, M., D'Antonio, A., De Mascellis, R., De Michele, C., De Paoli, G., Monica, C. Della, Di Leginio, M., Ferlan , M., … Basile, A. (2024). The LANDSUPPORT geospatial decision support system (S-DSS) vision: Operational tools to implement sustainability policies in land planning and management. Land Degradation and Development, 35(2), 813–834. https://doi.org/10.1002/ldr.4954

Uly, H., Harsono, G., Supriyatno, M., & Gultom, R. (2023). National Defense Strategy in Securing Border Areas in Indonesia (Indonesia-RDTL Border Case Study). Journal on Education. https://doi.org/10.31004/joe.v5i3.1543.

Utomo, AM, Wijayanto, GN, Yusfan, MA, Wardani, P., Poniman, A., Supriyadi, AA, Gultom, RAG, Martha, S., Purwantoro, SA, & Arief, S. (2021). Geospatial Intelligence Analysis to Support National Defense Interests. 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021. https://doi.org/10.1109/ICACSIS53237.2021.9631348

Utomo, A., Wijayanto, G., Yusfan, M., Wardani, P., Poniman, A., Supriyadi, A., Gultom, R., Martha, S., Purwantoro, S., & Arief, S. (2021). Geospatial Intelligence Analysis to Support National Defense Interests. 2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 1-8. https://doi.org/10.1109/ICACSIS53237.2021.9631348.

Vernando, F., & Iqbal, M. (2020). The Use of Satellite Imagery in Border Disputes. Journal of Satellite Studies, 2, 78-95. doi: 10.35774/jss2020.02.78

Wang, S., Huang, X., Liu, P., Zhang, M., Biljecki, F., Hu, T., Fu, X., Liu, L., Liu, Huang, Y., Yan, J., Jiang, J., Chukwu, M., Reza Naghedi, S., Hemmati, M., Shao, Y., Jia, N., Xiao, Z., … Bao, S . (2024). Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. In International Journal of Applied Earth Observation and Geoinformation (Vol. 128). https://doi.org/10.1016/j.jag.2024.103734

Wen, Y., Wu, J., Zhou, Q., & Tseng, T. (2019). Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. IEEE Transactions on Automation Science and Engineering, 16, 613-628. https://doi.org/10.1109/TASE.2018.2844204.

Xavier, R., & Anwar, M. (2021). Implementation of Drone Surveillance in Border Areas. Journal of Border Surveillance Studies, 4, 66-83. doi: 10.35774/jbss2021.04.66

Yusfan, M., Supriyadi, A., Martha, S., Gultom, R., & Sakti, S. (2021). Geospatial Intelligence (GEOINT) As A National Defense Strategy for Information Overload in Indonesia. International Journal of Engineering Technology and Natural Sciences. https://doi.org/10.46923/ijets.v3i2.129.

Yusuf, D., & Ibrahim, M. (2021). Use of Geospatial Intelligence in Enhancing Border Security. Journal of Geospatial Intelligence, 4, 45-59. doi: 10.35774/jgi2021.04.45

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Published

2024-10-12

How to Cite

Rifai, B. ., Poniman, A. ., & Gultom, R. A. G. . (2024). Determination of Cross-Border Post Points Based on Geospatial Intelligence for Territorial Defense of the Unitary State of the Republic of Indonesia: Literature Review. Formosa Journal of Science and Technology, 3(10), 2287–2302. https://doi.org/10.55927/fjst.v3i10.11685