The Prospect of Using Artificial Intelligence in TNI Ship Information Systems as a Manifestation of a Resilient Maritime Defense Industry

Authors

  • Aggria Purja The Republic of Indonesia Defense University
  • Edy Sulistyadi Defense Industry Study Program, Faculty of Defense Science and Technology, The Republic of Indonesia Defense University, Indonesia
  • Aries Sudiarso Defense Industry Study Program, Faculty of Defense Science and Technology, The Republic of Indonesia Defense University, Indonesia
  • Muhamad Asvial Defense Industry Study Program, Faculty of Defense Science and Technology, The Republic of Indonesia Defense University, Indonesia
  • Rudy AG Gultom Defense Industry Study Program, Faculty of Defense Science and Technology, The Republic of Indonesia Defense University, Indonesia
  • Afpriyanto Afpriyanto Defense Industry Study Program, Faculty of Defense Science and Technology, The Republic of Indonesia Defense University, Indonesia

DOI:

https://doi.org/10.55227/ijhess.v3i3.659

Abstract

This research investigates the prospects of using Artificial Intelligence (AI) in the Indonesian Navy's ship information system as a crucial step in developing a robust and innovative maritime defense industry. The primary focus is on the application of AI technology in the ship information system, analyzing various aspects, including the potential implementation of AI in monitoring and analyzing maritime waters, technical and security challenges that may arise, expected benefits, and the strategic impact of AI implementation in Indonesia's maritime defense industry. The research method employs the Systematic Literature Review (SLR) method, providing a systematic and comprehensive approach to collecting, evaluating, and analyzing relevant literature in a specific field. This study involves literature searches using keywords such as artificial intelligence, information systems, maritime defense industry, Indonesian defense, and Indonesian Navy ships from 2011 to 2023 in various sources such as scholarly journals, conferences, and online databases. The research findings indicate that the use of artificial intelligence in the Indonesian Navy's ship information system has significant potential to improve maritime monitoring, threat detection, operational efficiency, and international collaboration. The integration of AI with advanced sensors such as radar, sonar, and thermal cameras enables more accurate real-time monitoring of activities in maritime waters. Higher accuracy in monitoring and threat detection also contributes to increased situational awareness and smarter decision-making by operational leaders in the Indonesian Navy. Despite the substantial benefits, AI implementation faces several challenges, including initial investment costs, infrastructure availability, personnel training, data security, ethical regulations, dependence on foreign technology, integration and compatibility issues, AI technology reliability, cultural and organizational changes, and long-term benefits. To address these challenges, it is recommended that the government allocates budgets wisely, develops adequate technological infrastructure, provides personnel training, and formulates ethical regulations. Strengthening independence in the development of domestic AI technology is also crucial.

References

Ardi, F. C. (2023). Implementation of Integrated Maritime Surveillance System (IMSS) Technology for the Indonesian Navy in Increasing the Security of the Jurisdictional Marine Area. International Journal of Social and Management Studies, 4(4), 26-32.

Azzahra, B. (2021). Akuntan 4.0: roda penggerak nilai keberlanjutan perusahaan melalui artificial intelligence & tech analytics pada era disruptif. Jurnal Riset Akuntansi Dan Keuangan, 16(2), 87-98.

Chadhafi, M. I. (2021). Peningkatan Kualitas Industri Pertahanan Strategis Guna Membangun Kekuatan Pertahanan Maritim dalam rangka Mewujudkan Visi Poros Maritim Dunia. Jurnal Maritim Indonesia (Indonesian Maritime Journal), 9(2), 207-214.

Fadli, A., Guyana, D., & Tobing, C. L. (2022). Optimalisasi Pemanfaatan Teknologi Informasi Di Pusinfomar Tni Guna Mendukung Tugas Tni Angkatan Laut. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial, 9(3), 517-531.

Fatimah, S., Eva, N., & Farida, I. A. (2021). Flow sebagai prediktor keterlibatan akademik pada mahasiswa: systematic review dan meta-analysis. In Seminar Nasional Psikologi dan Ilmu Humaniora (SENAPIH) (Vol. 1, No. 1, pp. 393-405).

Fraga-Lamas, P., Fernández-Caramés, T. M., Suárez-Albela, M., Castedo, L., & González-López, M. (2016). A review on internet of things for defense and public safety. Sensors, 16(10), 1644.

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.

Haqqi, H., & Wijayati, H. (2019). Revolusi industri 4.0 di tengah society 5.0: sebuah integrasi ruang, terobosan teknologi, dan transformasi kehidupan di era disruptif. Anak Hebat Indonesia.

Hua, H., Wei, Z., Qin, Y., Wang, T., Li, L., & Cao, J. (2021). Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods. IET Cyber‐Physical Systems: Theory & Applications, 6(2), 63-79.

Jahidi, I., & Hafid, M. (2017). Transformasional leadershif dan servant leadership: tantangan kepemimpinan dalam menghadapi era global. CosmoGov: Jurnal Ilmu Pemerintahan, 3(2), 219-231.

Kulbiej, E., & Wołejsza, P. (2017, June). Naval artificial intelligence. In 12th International Conference on Marine Navigation and Safety of Sea Transportation TransNav (pp. 21-23).

Li, B. H., Hou, B. C., Yu, W. T., Lu, X. B., & Yang, C. W. (2017). Applications of artificial intelligence in intelligent manufacturing: a review. Frontiers of Information Technology & Electronic Engineering, 18, 86-96.

Madinier, R. (2022). Revolusi Tak Kunjung Selesai. Kepustakaan Populer Gramedia.

Marsetio, M., & Ritonga, R. (2018). Representasi Kapal Selam Indonesia dalam Perspektif Pertahanan Regional. Jurnal Kajian Stratejik Ketahanan Nasional, 1(2), 87-94.

Masrichah, S. (2023). Ancaman Dan Peluang Artificial Intelligence (AI). Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora, 3(3), 83-101.

Napitupulu, D. (2017). Kajian Peran Cyber Law Dalam Memperkuat Keamanan Sistem Informasi Nasional. Deviance Jurnal Kriminologi, 1(1), 100-113.

Pasaribu, M., & Widjaja, A. (2022). Artificial Intelligence: Perspektif Manajemen Strategis. Kepustakaan Populer Gramedia.

Quest, L., Charrie, A., du Croo de Jongh, L., & Roy, S. (2018). The risks and benefits of using AI to detect crime. Harv. Bus. Rev. Digit. Artic, 8, 2-5.

Reis, J., Cohen, Y., Melão, N., Costa, J., & Jorge, D. (2021). High-tech defense industries: Developing autonomous intelligent systems. Applied Sciences, 11(11), 4920.

Rukmana, A. Y., Rahman, R., Afriyadi, H., Moeis, D., Setiawan, Z., Subchan, N., ... & Kusuma, A. T. A. P. (2023). PENGANTAR SISTEM INFORMASI: Panduan Praktis Pengenalan Sistem Informasi & Penerapannya. PT. Sonpedia Publishing Indonesia.

Savitri, A. (2019). Revolusi industri 4.0: mengubah tantangan menjadi peluang di era disrupsi 4.0. Penerbit Genesis.

Serdianus, S., & Saputra, T. (2023). Peran artificial intelligence ChatGPT dalam perencanaan pembelajaran di era revolusi industri 4.0. Masokan: Ilmu Sosial dan Pendidikan, 3(1), 1-18.

Setiawan, D. I., Werijon, W., & Widyanto, D. (2022). Optimalisasi Diplomasi Tni Angkatan Laut Dalam Mendukung Kebijakan Indonesia Sebagai Poros Maritim Dunia. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial, 9(1), 151-159.

Suryawan, W. E., & Ginting, M. L. (2023). Optimalisasi Sistem Informasi Personel dengan Menggunakan Internet of Things dalam Rangka Mendukung Tugas TNI AL. SATIN-Sains dan Teknologi Informasi, 9(1), 93-106.

Triandini, E., Jayanatha, S., Indrawan, A., Putra, G. W., & Iswara, B. (2019). Metode systematic literature review untuk identifikasi platform dan metode pengembangan sistem informasi di Indonesia. Indonesian Journal of Information Systems, 1(2), 63-77.

Turyadi, I. U. (2021). Analisa Dukungan Internet of Things (IoT) terhadap Peran Intelejen dalam Pengamanan Daerah Maritim Indonesia Wilayah Timur. Jurnal Teknologi dan Manajemen Informatika, 7(1), 29-39.

Yang, S. L. (2016). Corporate social responsibility and an enterprise’s operational efficiency: considering competitor’s strategies and the perspectives of long-term engagement. Quality & Quantity, 50(6), 2553-2569.

Yudistriansyah, A., Suryanegara, M., Gunawan, D., Arifin, A., & Krisnadi, I. (2019). Evaluasi Maturity Level Keamanan dan Rekomendasi Perbaikan Keamanan Internet of Things (IOT) PT XYZ Berdasarkan Kerangka Kerja IOT Security Maturity Model. Universitas Indonesia, 1-2.

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Published

2023-12-19

How to Cite

Aggria Purja, Edy Sulistyadi, Aries Sudiarso, Muhamad Asvial, Rudy AG Gultom, & Afpriyanto, A. (2023). The Prospect of Using Artificial Intelligence in TNI Ship Information Systems as a Manifestation of a Resilient Maritime Defense Industry. International Journal Of Humanities Education and Social Sciences, 3(3). https://doi.org/10.55227/ijhess.v3i3.659

Issue

Section

Social Science