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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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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.
ANALISA TINGKAT PELANGGARAN HUKUM DI LAUT INDONESIA MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING markus - tukan; Heru Lumaksono; Syariful Alim; Hozairi Hozairi
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 1 No 1 (2020): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2020
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v1i1.751

Abstract

Violation of the law at sea is one indicator to measure the security level of a country. To maintain security stability at sea in Indonesia, the Government needs to forecast the number of violations of the law at sea to determine the next policy. Forecasting is a picture of events that will occur in the future. The method used to predict law violations in the Indonesian seas is the Triple Exponential Smoothing (TES) Hold-Winters, the TES method is a pretty good forecasting method for long-term, medium-term and short-term forecasting. The processed data is data on law violations in the Indonesian seas from 1996 to 2019 from the Indonesian Maritime Security Agency. The results obtained from this study are the results of the analysis of the level of accuracy of the MAD, MSE, MAPE, MSE and RMSE data to find the smallest error value. The results of the study have predicted the number of law violations at sea in Indonesia in the next five years will decrease with forecasting values ​​(94 86 79 71 61) with a constant value of alpha = 0.9, beta = 0.2, and theta = 0.1 and the average value absolute percentage error (MAPE = 3,%) and mean root error value (RMSE = 6.38). The contribution of this research can be considered by Bakamla to set up a joint operations strategy with other institutions that have legal authority in the Indonesian seas.
Co-Authors Buhari Buhari Hozairi Marcus Tukan Marcus Tukan Syariful Alim