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All Journal Knowledge Engineering and Data Science Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM)
Heru Lumaksono
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Journal : knowledge engineering and data science

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Selection of Marine Security Policy using Fuzzy-AHP TOPSIS Hybrid Approach Hozairi Hozairi; Buhari Buhari; Heru Lumaksono; Marcus Tukan
Knowledge Engineering and Data Science Vol 2, No 1 (2019)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1367.95 KB) | DOI: 10.17977/um018v2i12019p19-30

Abstract

The research was focused on the integration of Fuzzy set theory with Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to choose the optimum maritime security policy to achieve Indonesia recognition as the world's maritime axis. The method used is AHP with fuzzy based enhancement. Here, the weight of each criterion is calculated to overcome the criticism of the scale of unbalanced rating, uncertainty, and inaccuracy in the pairwise of comparison process. The best recommendation for Indonesian maritime policies is multi task single agency which is greatly infuenced by several factors such as technology, regulations, infrastructure, economic, politic, and socio-culture.  The finding shows that the hybrid approach is able to produce the best recommendation for Indonesian maritime security policy.
Co-Authors Buhari Buhari Hozairi Marcus Tukan Marcus Tukan Syariful Alim