Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Adi, Anang Prasetia
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Selection of Autonomous Vehicle for Marine Patrol: A Multi Criteria Analysis Decision Making Analysis in The North Natuna Sea Adi, Anang Prasetia; Anwar, Syaiful; Sarjito, Aris; Aritonang, Sovian; Prasetyo, Eko
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp106-111

Abstract

The North Natuna Sea has high strategic and economic importance because it is an important trade route and has abundant fishery resources. However, the region is prone to illegal fishing and border violations. In 2020-2022, there were 162 violations, while 2023 recorded 14 warship contacts. The Indonesian Navy has organized security operations with warships and maritime patrol aircraft. However, budget constraints are a major obstacle. Autonomous vehicles are a potential solution due to their lower cost, high efficiency, and advanced monitoring capabilities. This research aims to determine the priorities and criteria of Autonomous vehicles suitable for patrolling the North Natuna Sea. This research uses a quantitative method with Analytic Network Process (ANP) to analyze the relationship between system elements. The data was analyzed with a Multi Criteria Decision Making approach using Super Decision version 3.10 software to generate objective decisions. The main criteria included Performance, Operational, Maintenance, and Cost. The ANP model allows the evaluation of interrelated factors, determining the priority of Autonomous Vehicles in patrolling the North Natuna Sea. The results showed that the main criteria in the selection of Autonomous Vehicles for patrolling in the North Natuna Sea were Performance (0.441), followed by Cost (0.267), Operational (0.181), and Maintenance (0.111). At the sub-criteria level, Endurance has the highest priority (0.151), followed by Acquisition Cost (0.118) and Range (0.098). For vehicle alternatives, UAV ranked first (0.509), followed by AUV (0.281), UCAV (0.136), and USV (0.074). These results show that UAV is the best choice for maritime patrol based on the factors of performance, cost, and operational range.
Co-Authors Aritonang, Sovian Eko Prasetyo Sarjito, Aris Syaiful Anwar