Utilization of Artificial Intelligence (AI) to Support the Implementation of Demolition in the Indonesian Air Force

This research employs a qualitative approach, utilizing in-depth interviews, observations, and documentation studies involving TNI AU personnel, along with data analysis from various documentary sources. The qualitative method is used to gain in-depth insights from TNI AU personnel and military technology experts on AI implementation in demolition operations through observation and documentation studies. Primary data is collected through interviews, observations, and document reviews, while secondary data is gathered from official documents, technical reports, and related publications. The findings indicate that AI usage in demolition activities within TNI AU has improved accuracy in detecting and identifying explosive threats. This research offers several recommendations to address challenges and optimize AI use in demolition activities within TNI AU.

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Publication Details

Journal
Formosa Journal of Applied Sciences
Published
2025-07-30
DOI
https://doi.org/10.55927/fjas.v4i7.238
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilization of Artificial Intelligence (AI) to Support the Implementation of Demolition in the Indonesian Air Force

Pujo Widodo, Anton Tri Setyo Aji, Oktaheroe Ramsi
Formosa Journal of Applied Sciences
Management and Optimization Techniques
article

Utilization of Artificial Intelligence (AI) to Support the Implementation of Demolition in the Indonesian Air Force

Pujo Widodo, Anton Tri Setyo Aji, Oktaheroe Ramsi
article en

Abstract

This research employs a qualitative approach, utilizing in-depth interviews, observations, and documentation studies involving TNI AU personnel, along with data analysis from various documentary sources. The qualitative method is used to gain in-depth insights from TNI AU personnel and military technology experts on AI implementation in demolition operations through observation and documentation studies. Primary data is collected through interviews, observations, and document reviews, while secondary data is gathered from official documents, technical reports, and related publications. The findings indicate that AI usage in demolition activities within TNI AU has improved accuracy in detecting and identifying explosive threats. This research offers several recommendations to address challenges and optimize AI use in demolition activities within TNI AU.

Formosa Journal of Applied SciencesVol. 4(7)
Indonesia Defense University (ID)
Sustainable cities and communities
Openalex Percentile: Top 70%
Management and Optimization Techniques
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