期刊名称：Russian Journal of Agricultural and Socio-Economic Sciences
印刷版ISSN：2226-1184
电子版ISSN：2226-1184
出版年度：2021
卷号：114
期号：6
页码：17-23
DOI：10.18551/rjoas.2021-06.02
语种：English
出版社：Russian Journal of Agricultural and Socio-Economic Sciences
摘要：The general concept of maritime security operations is that the daily presence at sea is carried out by ships and aircraft of the Indonesian Navy's maritime patrol. The maritime patrol pattern used today is the warships as the major element. The warships will carry out patrols in randomly determined sectors. This pattern has many challenges, namely operational planning that is not good and requires a large operating budget, the number of warships and the available budget is limited, and the speed of movement towards the target. The Indonesian Navy Aviation Center has Maritime Patrol Aircraft that have not been used optimally. Extensive and rapid observation is an advantage of aircraft surveillance. KRIs patrolling the area can save fuel by waiting for information from air monitoring patrol aircraft, thereby saving operational costs. In this paper, the assignment of Maritime Patrol Aircraft is optimized based on coverage and operating costs on ideal and real radar conditions using Goal Programming and Fuzzy Inference System (FIS) methods. The optimization results show that the maximum total Coverage Area secured by the Maritime Patrol Aircraft in ideal conditions is wider while in real conditions it is small. The small coverage area is caused by the reduced coverage ability of the radar in real conditions. Mamdani Fuzzy Logic calculation allows us to predict the operational costs that must be incurred if we want a certain coverage area.
