Pratama, Albertus Calvin (2021) Pengembangan Metode Fuzzy Logic untuk Support dan Prediksi Gerakan Kapal saat Sandar di Pelabuhan Tanjung Perak. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kegiatan shipping/ pengiriman barang melalui jalur laut telah dikenal secara internasional, namun juga merupakan salah satu yang paling berbahaya. Kecelakaan terjadi sebagian besar disebabkan oleh human error khususnya kecelakaan yang terjadi di area Pelabuhan Tanjung Perak. Untuk itu, diperlukan pengembangan terhadap sistem sandar kapal otomatis untuk mengurangi kesalahan manusia saat kegiatan sandar kapal. Pada makalah ini, ditampilkan hasil pengembangan metode fuzzy logic dalam kegiatan sandar kapal yang membantu kapal dalam mencapai waypoint-waypoint yang ditentukan secara otomatis. Perancangan sistem sandar kapal ini dilakukan mulai dari penentuan trayektori yang ditentukan sesuai SOP Tanjung Perak, merancang fuzzy logic dengan metode mamdani meliputi permodelan variabel input yang berupa error yaw dan yaw rate untuk mendapatkan hasil output berupa respon rudder sesuai dengan aturan yang ditentukan, permodelan dinamika kapal Kriso Container Ship menggunakan Nomoto Model ordo 2, rudder, propeller, serta gangguan arus laut yang dimodelkan sesuai literatur, kemudian melakukan simulasi gerakan kapal saat sandar. Simulasi dilakukan pada 4 skema sandar kapal yaitu Sandar Kanan 1, Sandar Kanan 2, Sandar Kiri 1, dan Sandar Kiri 2 dengan variasi kondisi tanpa gangguan dan dengan gangguan arus laut. Berdasarkan hasil simulasi diketahui error rata-rata yang dihasilkan pada setiap skema dengan kondisi tanpa gangguan dengan metode fuzzy logic sebesar 3.33%, pada kondisi gangguan arus laut sebesar 1.25 cm/s arah 30o error sebesar 4.4%, error pada kondisi gangguan arus laut sebesar 1.25 cm/s arah 90o sebesar 5.62%, pada kondisi gangguan arus sebesar 1 cm/s arah 30o error sebesar 4.07%, sedangkan untuk arah 90o error sebesar 5.04%. Dilakukan perbandingan hasil simulasi dengan metode fuzzy logic dengan metode line of sight dan diketahui bahwa error yang dihasilkan pada metode fuzzy logic untuk mencapai trayektori yang sama lebih kecil dari metode line of sight namun diketahui rudder response pada kondisi dengan gangguan terlihat lebih ekstrem pergerakannya dalam menentukan keputusan respon rudder yang tepat.
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The activity of shipping goods by sea is known internationally, but it is also one of the most dangerous. Most of the accidents were caused by human error, especially accidents that occurred in the port of Tanjung Perak area. For this reason, it is necessary to develop an automatic ship docking system to reduce human errors during berthing activities. In this final project, the development of fuzzy logic method in berthing activities is carried out to assist ships in reaching the automatically determined way points. The design of the berthing system is carried out starting from determining the trajectory that is determined according to the Port of Tanjung Perak standard operation procedure, designing fuzzy logic with the Mamdani method including modeling input variables in the form of yaw errors and yaw rates to obtain output results in the form of rudder responses in accordance with the specified rules, ship dynamics modeling Kriso Container Ship uses Nomoto Model order 2, rudder, propeller, and ocean current disturbances modeled according to the literature, then simulates the movement of the ship when docked. Simulations were carried out on 4 boat berthing schemes, namely Sandar Kanan 1, Sandar Kanan 2, Sandar Kiri 1, and Sandar Kiri 2with a variety of conditions without disturbance and with ocean currents. Based on the simulation results, it is known that the average error generated in each scheme with conditions without disturbance with the fuzzy logic method is 3.33%, under conditions of sea current disturbance of 1.25 cm/s direction 30othe error is 4.4%, error in conditions of sea current disturbance 1.25 cm/s in the 90odirection is 5.62%, under current disturbance conditions of 1 cm/s the 30odirection has an error of 4.07%, while for the 90odirection the error is 5.04%. Comparison of the simulation results with the fuzzy logic method and with the line-of-sight method known that the error generated in the fuzzy logic method to achieve the same trajectory is smaller than the line-of-sight method, but it is known that the rudder response in conditions with disturbances looks more extreme in its movement in determining decisions. proper rudder response.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Automatic Berthing Control, Fuzzy Logic, Mamdani |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic V Naval Science > V Naval Science (General) > V220 Naval ports, bases, reservations, docks, etc. V Naval Science > VK > VK358 Marine terminals V Naval Science > VK > VK361 Mooring of ships. Dry docks V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM156 Naval architecture V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM365 Remote submersibles. Autonomous vehicles. |
| Divisions: | Faculty of Marine Technology (MARTECH) > Naval Architecture and Shipbuilding Engineering > 36201-(S1) Undergraduate Thesis |
| Depositing User: | Albertus Calvin Pratama |
| Date Deposited: | 03 Sep 2021 02:09 |
| Last Modified: | 11 Nov 2024 07:34 |
| URI: | http://repository.its.ac.id/id/eprint/91384 |
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