The logistics readiness of the Indonesian Navy represents a crucial factor in sustaining the smooth execution of operational duties. Advancements in Artificial Intelligence alongside the necessity for information integration present opportunities to optimize data processing velocity, demand forecast accuracy, inventory control, and logistics decision-making processes. This investigation aims to evaluate the impacts of Artificial Intelligence application and information integration upon the logistics readiness of the Indonesian Navy, both individually and concurrently. The study implemented a quantitative perspective employing a survey approach involving 50 participants possessing prior background in logistics operations and information usage within the Indonesian Navy domain. Information sets were gathered via instruments and analyzed employing multiple linear regression, t-examinations, F-examinations, as well as the determination coefficient. Findings reveal that Artificial Intelligence application exhibits a constructive and meaningful impact on logistics readiness, bearing a significance score of 0.001. Information integration likewise yields a positive and significant effect, displaying a significance score of 0.000. The simultaneous testing generated a significance value of 0.000, illustrating that both parameters collectively bear upon logistics readiness. The R-Squared magnitude of 0.646 demonstrates that 64.6% of variance in logistics readiness can be accounted for by Artificial Intelligence application and information integration.
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