Amelia, Gladys (2025) Perancangan Low Cost Vessel Monitoring System untuk Kapal Ikan. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia, sebagai negara maritim terbesar kedua di dunia, memiliki sektor perikanan yang berperan penting dalam perekonomian dengan kontribusi hampir 5% terhadap PDB. Dengan jumlah kapal perikanan tangkap laut sebanyak 170.034 unit yang tersebar di seluruh wilayah Indonesia maka pengawasan terhadap pergerakan kapal ikan menjadi sangat penting untuk mencegah aktivitas ilegal, seperti penyelundupan ikan, invasi wilayah teritorial, dan ancaman terorisme maritim. Penelitian ini bertujuan merancang sistem pemantauan kapal ikan yang terjangkau, efektif, dan mudah digunakan. Sistem ini mencakup pemantauan lokasi, bahan bakar, cuaca, dan fitur peringatan dini yang dapat meningkatkan efisiensi pengawasan. Teknologi LoRa digunakan sebagai modul jaringan komunikasi untuk transmisi data jarak jauh dengan biaya rendah, sedangkan mikrokontroler ESP32 mengelola sistem secara efektif. Pengujian awal untuk skala laboratorium menggunakan model kapal yang disesuaikan skenario lapangan menunjukkan hasil yang memuaskan yaitu akurasi GPS mencapai 99,49%, sensor bahan bakar 93,67%, dan data cuaca di atas 97%, kecuali kecepatan angin yaitu 72,86% karena terdapat faktor luar saat pengukuran dan frekuensi pembaruan data BMKG. Pengujian di lapangan yang dilakukan di Kapal Ikan pada Pelabuhan Perikanan Nusantara Brondong, Lamongan, menunjukkan akurasi GPS lebih dari 98%, sensor bahan bakar sekitar 92%, dan data cuaca BMKG di atas 94%. Dari segi ekonomis, sistem ini menawarkan biaya produksi dan berlangganan yang lebih rendah dibandingkan VMS komersial saat ini.
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Indonesia, as the world's second-largest maritime nation, has a fisheries sector that plays a vital role in the economy, contributing nearly 5% to the GDP. With a total of 170.034 fishing vessels spread across all regions of Indonesia, monitoring the movement of these vessels is crucial to prevent illegal activities, such as fish smuggling, territorial incursions, and maritime terrorism threats. This study aims to design an affordable, effective, and user-friendly fishing vessel monitoring system. The system includes location monitoring, fuel tracking, weather conditions, and early warning features that can enhance surveillance efficiency. LoRa technology is used as the communication network module for long-range data transmission at a low cost, while the ESP32 microcontroller effectively manages the system. Initial laboratory tests using a scaled model of the vessel in field scenarios yielded satisfactory results, with GPS accuracy reaching 99,49%, fuel sensor accuracy at 93,67%, and weather data accuracy above 97%, except for wind speed at 72,86% due to external factors during measurement and BMKG data update frequency. Field tests conducted on a fishing vessel at the Brondong Nusantara Fishery Port in Lamongan showed GPS accuracy above 98%, fuel sensor accuracy around 92%, and BMKG weather data accuracy above 94%. Economically, this system offers lower production and subscription costs compared to current commercial VMS.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Sistem Pemantauan Kapal, Kapal Ikan, LoRa, ESP32, Teknologi Berbiaya Rendah, Vessel Monitoring System, Fishing Vessel, LoRa, ESP32, Low-Cost Technology |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors V Naval Science > VC Naval Maintenance > VC 270-279 Equipment of vessels, supplier,allowances,etc V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering V Naval Science > VM431 Fishing boats |
Divisions: | Faculty of Marine Technology (MARTECH) > Naval Architecture and Shipbuilding Engineering > 36201-(S1) Undergraduate Thesis |
Depositing User: | Gladys Amelia |
Date Deposited: | 29 Jul 2025 08:02 |
Last Modified: | 29 Jul 2025 08:02 |
URI: | http://repository.its.ac.id/id/eprint/122662 |
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