The Development of Fighter Aircraft Maintenance Management Through Artificial Intelligence Technology to Support the Duties of the Indonesian Air Force

Janjang Satya E. W; Budi Santoso; Yulianto Hadi

doi:10.55927/cjas.v4i2.133

Penulis

Janjang Satya E. W Universitas Republik Pertahanan
Budi Santoso Universitas Republik Pertahanan
Yulianto Hadi Universitas Republik Pertahanan

DOI:

https://doi.org/10.55927/cjas.v4i2.133

Kata Kunci:

Management, Maintenance, Aircraft, Artificial Intelligence

Abstrak

Fighter aircraft maintenance management is a crucial aspect in ensuring the operational readiness of the Indonesian Air Force. In this context, the use of Artificial Intelligence (AI) technology has been highlighted as a potential solution to improve efficiency and effectiveness in maintenance. The method used in writing this journal is a qualitative method. There are two theories used in this research, namely; First, fighter aircraft maintenance management is discussed by referring to the theory of Terry Wireman who emphasizes the importance of availability, reliability, and maintainability. The emphasis on structured planning and proactive maintenance implementation is crucial to ensure that fighter aircraft are always in operational readiness. The application of AI technology can improve failure prediction, more effective maintenance planning, and more accurate spare parts inventory management. The conclusion of this paper is that the application of AI technology with a systematic approach and structured planning can overcome various challenges and obstacles in maintenance management. Thus, AI technology has enormous potential to improve the success of fighter aircraft maintenance management. This will significantly support the readiness and effectiveness of the Indonesian Air Force in carrying out its strategic tasks.

Referensi

Book

Apriliani, H. (2020). Maintenance Management of Indonesian Air Force Training Aircraft at Adisutjipto Air Force Base Using a Total Productive Maintenance Approach (Doctoral dissertation, Gadjah Mada University).

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.

Duarte, E. P., Sauce, S., Purwantoro, I. S. A., SE, M., Herlina Tarigan, M. P. P. M., Saragih, HJ, ... & Sarjito, IA (2024). Potential and Challenges of Innovation in National Defense Management: Building Competitive Advantage in the Modern Era. Indonesia Emas Group.

Journal

Agustian, ES (2020). Reliability Control Program for Military Aircraft Weapon System Maintenance. DEFENDONESIA, 4(2), 28-33.

Azhar, Z. A., Setiani, W. S., Runtu, K. R., & Yogaswara, Y. H. (2022). Concept of Military Asset Management System in Indonesian Armed Forces. Defense and Security Studies, 3, 101-105.

Biringkanae, P., & Bunahri, R. R. (2023). Literature Review Use Technology Intelligence Artificial in Flight: Analysis Development Technology, Security Potential and Challenges. Journal of Applied Management Science, 4(5), 745-752. Irfan, F., Bura, R. Oh, & Yansyah, H. (2020). Analysis Multiplier Effect Technology Airplane Simulator Combat Generation 4.5 Purpose Support System Defense Country.

Journal Power Technology Movement, 3(1).

Kelly, A. (2006). Strategic Maintenance Planning. Butterworth- Heinemann.

Narayanan, T. S. A., & Padhy, S. C. (2023). Artificial Intelligence for Predictive Maintenance of Armored Fighting Vehicles Engines. Indian Journal of Artificial Intelligence and Neural Networking (IJAINN), 3(5), 1-12.

Nursanti, E., Avief, RM, Sibut, S., & Kertaningtyas, M. (2018). Improving Time Efficiency And Cost Maintenance Overhaul Aircraft Combat. Journal Technology and Industrial Management, 4(2).

Purja, A., Sulistyadi, E., Sudiarso, A., Asvial, M., Gultom, R. A., & 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).

Putro, HP, Widyaningsih, TW, Englishtina, I., Nursanty, E., & Dema, H. (2023). Development Of Artificial Intelligence Applications (Studies Case & Implementation AI Using Various Programming Languages. PT. Sonpedia Publishing Indonesia.

Rahmatika, AN (2022). Indonesia's National Defense Strategy in Facing the Threat of Artificial Intelligence. Asymmetric Warfare (PA), 8(1), 84-99.

Setiarsono, Y., & Rakita, Z. (2024). National Defense Industry Strategy to Support Defense Equipment Modernization in the Context of National Defense Independence. Journal of Technology and Innovation of the Army Polytechnic, 2(June), 1-35.

Sinaga, D. (2017). Design of Military Aircraft Maintenance Administration Information System at Engineering Squadron (Skatek) 021. JSI (Journal of Information Systems) Suryadarma University, 4(2), 80-96.

Susdarwono, ET (2021). Artificial Intelligence (AI) drones in defense: problems and progress. Intech Scientific Journal: Information Technology Journal of UMUS, 3(01), 1-11.

Wibowo, JSE, Santoso, B., & Hadi, Y. (2024). Fostering Fighter Aircraft Maintenance Management Through Artificial Intelligence Technology to Support the Duties of the Indonesian Air Force. Journal of Defense Diplomacy, 10(2), 34-43.

Wireman, T. (2004). Total Productive Maintenance. Industrial Press Inc.

Yusmahendra, RA, & Wahyuni, HC (2022). Risk Mitigation Strategy Based on Information Technology in Aircraft Maintenance Process (Case Study: PT MMF). Procedia of Engineering and Life Science, 2(2).