Rojabiyah, Nur (2023) Pengembangan Sistem Pengambilan Keputusan IUU Transshipment Menggunakan Sistem Kepakaran berbasis Data AIS pada Kondisi Anomali Trayektori dengan Mengakomodasi Gangguan Gelombang Laut. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia memiliki potensi kekayaan sumber daya kelautan dan perikanan yang berlimpah. Hal ini secara tidak langsung dapat meningkatkan potensi kegiatan ilegal di laut, salah satunya kegiatan bongkar-muat secara ilegal. Aktivitas IUU transshipment dapat diatasi melalui pemantauan pada data Automatic Identification System (AIS), yang mana dapat dideteksi melalui adanya anomali trayektori pada data navigasi kapal. Selain itu, faktor lingkungan seperti cuaca menjadi aspek yang penting dalam menentukan rute kapal. Penelitian ini dilakukan dengan tujuan untuk merancang dan menganalisis akurasi pengembangan sistem pengambilan keputusan IUU transshipment ketika kondisi anomali data trayektori dengan mengakomodasi gangguan cuaca, yaitu ketinggian gelombang laut. Sistem identifikasi yang dirancang terdiri dari tiga sub-sistem, yaitu sub-sistem anomali untuk mengidentifikasi kapal yang keluar dari jalur referensinya dan dirancang dengan menggunakan Adaptive Network-Based Fuzzy Inference System (ANFIS). Kemudian sub-sistem selection digunakan untuk menyeleksi kapal-kapal yang diduga melakukan IUU transshipment dan sub-sistem decision digunakan untuk melakukan identifikasi terjadinya IUU transshipment. Sub-sistem selection dan decision dirancang dengan menggunakan sistem logika fuzzy tipe 2. Hasil validasi menunjukkan bahwa ketiga sub-sistem mampu menghasilkan nilai keluaran yang sesuai dengan kondisi aktual yang dibangun dan diperoleh nilai akurasi rata-rata sistem sebesar 79,63%.
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Indonesia has abundant potential wealth of marine and fishery resources. This indirectly increases the potential for illegal activities at sea, one of which is illegal loading and unloading activities. IUU transshipment activities can be overcome through monitoring on Automatic Identification System (AIS) data, which can be detected through trajectory anomalies in ship navigation data. In addition, environmental factors such as weather are important aspects in determining ship routes. This research was conducted with the aim of designing and analyzing the accuracy of developing an IUU transshipment decision-making system when trajectory data anomalous conditions accommodate weather disturbances, namely sea wave height. The designed identification system consists of three sub-systems, namely the anomaly sub-system to identify ships that have departed from their reference path and designed using the Adaptive Network-Based Fuzzy Inference System (ANFIS). Then the selection sub-system is used to select ships suspected of carrying out IUU transshipment and the decision sub-system is used to identify the occurrence of IUU transshipment. The selection and decision sub-systems were designed using a type 2 fuzzy logic system. The validation results showed that the three sub-systems were able to produce output values that matched the actual conditions built and obtained an average system accuracy value of 79.63%.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Adaptive Network-Based Fuzzy Inference System (ANFIS), Anomali trayektori, Automatic Identification System (AIS), IUU transshipment, Sistem logika fuzzy tipe 2 ============================================================ Adaptive Network-Based Fuzzy Inference System (ANFIS), Automatic Identification System (AIS), IUU transshipment, Trajectory anomaly, Type 2 fuzzy logic system |
| Subjects: | T Technology > T Technology (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM293 Shipping--Indonesia--Safety measures |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Nur Rojabiyah |
| Date Deposited: | 25 Jul 2023 02:19 |
| Last Modified: | 25 Jul 2023 02:19 |
| URI: | http://repository.its.ac.id/id/eprint/99174 |
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