Farahdiba, Chairani (2018) Perancangan Integrasi Sistem Pengambilan Keputusan Berbasis Data Automatic Identification System (AIS) untuk Pemodelan IUU Fishing dan Transhipment Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Praktik Illegal, Unreported, and Unregulated (IUU) Fishing dan Transhipment kerap terjadi di perairan Indonesia karena pengawasan yang masih bersifat konvensional. Oleh karena itu, perancangan integrasi sistem pengambilan keputusan praktik IUU Fishing dan Transhipment perlu dilakukan. Sistem pengambilan keputusan dirancang dengan menggunakan metode Adaptive Neuro-Fuzzy Inference System (ANFIS) yang berbasis data Automatic Identification System (AIS). Terdapat tiga sub-sistem pada sistem ini yakni sub-sistem selection, sub-sistem IUU fishing decision, dan sub-sistem IUU transhipment decision. Pengujian illegal fishing dilakukan terhadap jenis kapal cantrang.
Sub-sistem selection terdiri atas 2 variabel masukan yaitu selisih jarak dua awal kapal dan selisih heading awal. Sub-sistem IUU fishing decision terdiri atas 5 variabel masukan yaitu jenis kapal, kecepatan casting, kecepatan hauling, perubahan posisi longitude dan latitude. Sub-sistem IUU transhipment decision terdiri atas 6 variabel masukan yaitu selisih kecepatan saat transhipment, selisih jarak saat transhipment, perubahan jarak, perubahan kecepatan kapal 1, perubahan kecepatan kapal 2, dan selisih heading akhir. Fungsi trimf atau segitiga dengan metode hybrid merupakan fungsi yang paling baik dalam sistem pengambilan keputusan pada tugas akhir ini karena menghasilkan nilai RMSE yang paling kecil pada semua sub-sistem. RMSE yang dihasilkan pada sub-sistem selection adalah 2,92E-07, RMSE yang dihasilkan pada sub-sistem IUU fishing decision adalah 5,63E-08, dan RMSE yang dihasilkan pada sub-sistem IUU transhipment decision adalah 4,36E-07. Akurasi yang dihasilkan pada pengambilan keputusan IUU fishing adalah
89,3% sedangkan akurasi pengambilan keputusan IUU transhipment adalah 87,4%.
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Illegal, Unreported, and Unregulated (IUU) Fishing and Transhipment Practices often occur in Indonesian waters due to conventional supervision. Therefore, the design of integration of IUU Fishing and Transhipment decision support system needs to be done. The decision-support system is designed by using Adaptive Neuro-Fuzzy Inference System (ANFIS) based on Automatic Identification System (AIS) data. There are three sub-systems in this system namely sub-system selection, IUU fishing decision sub-system, and IUU transhipment decision sub-system. Illegal fishing test conducted on “cantrang” vessel.
The selection sub-system consists of two input variables, namely the difference between the initial two vessels and the initial heading difference. IUU fishing decision sub-system consists of 5 input variables: ship type, casting speed, hauling speed, change of longitude and latitude position. The IUU transhipment decision sub-system consists of 6 input variables, namely difference of speed during transhipment, distance of transhipment distance, change of velocity of vessel 1, velocity change of vessel 2, and final heading difference. Trimf or triangle function with hybrid method is the best function in the decision support system in this final project because it produces the smallest RMSE value on all sub-systems. The RMSE generated in the sub-system selection is 2.92E-07, the RMSE produced in the IUU fishing decision sub-system is 5.63E-08, and the RMSE generated in the IUU transhipment decision sub-system is 4.36E-07. The accuracy resulted in IUU fishing decision is 89,3% while the accuracy of decision of IUU transhipment is 87,4%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 658.403 801 1 Far p |
| Uncontrolled Keywords: | IUU Fishing, IUU Transhipment, AIS, ANFIS, Sistem Pengambilan Keputusan |
| Subjects: | Q Science > QA Mathematics > QA336 Artificial Intelligence Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > T Technology (General) > T58.62 Decision support systems V Naval Science > VM431 Fishing boats |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Chairani Farahdiba |
| Date Deposited: | 17 Nov 2020 07:59 |
| Last Modified: | 17 Nov 2020 07:59 |
| URI: | http://repository.its.ac.id/id/eprint/57967 |
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