Implementasi Teknologi Underwater Camera Semi Permanen Dengan Menggunakan Quick Release

Dandi, Danish Putra (2024) Implementasi Teknologi Underwater Camera Semi Permanen Dengan Menggunakan Quick Release. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Taman Nasional Bunaken terletak di Provinsi Sulawesi Utara, Indonesia. Berada di pusat Segitiga Terumbu Karang Coral Triangle dunia, taman ini menjadi kawasan konservasi yang penting secara global yang menyediakan habitat bagi berbagai biota laut termasuk ikan dan terumbu karang. Glass-bottom boat adalah perahu kaca panoramik yang memungkinkan penumpang untuk mengamati lingkungan bawah air langsung dari perahu. Sayangnya, harga kapal glass-bottom boat tidak murah karena harus dikonstruksi dengan baik demi keselamatan wisatawan. Oleh karena itu, dibutuhkan sebuah implementasi teknologi underwater camera semi permanen dengan menggunakan quick release system untuk mendukung industri pariwisata dan konservasi laut di Taman Nasional Bunaken. Tujuan dari implementasi teknologi ini adalah untuk mentransformasikan kapal biasa menjadi Smart Glass-Bottom Boatdengan harga yang terjangkau sekitar Rp6.729.000 atau sekitar $432 sehingga para wisatawan dapat menikmati keindahan bawah laut melalui layar monitor. Teknologi Underwater Camera menggunakan high quality camera up to 12 MP. Dilengkapi dengan sistem Artificial Intelligence (AI), kamera dapat secara otomatis melakukan deteksi ikan yang secara real-timeditampilkan kepada wisatawan menggunakan metode You Only Look Once (YOLO) v8 Nano dengan hasil pengujian 5 FPS dan delay tercepat 1,62 detik serta Mean Average Precision (mAp) sebesar 83.72%. Data tersebut menunjukkan bahwa mAP yang dihasilkan termasuk dalam kategori yang bagus berdasarkan ukuran dari YOLOv8N jika dibandingkan dengan yang large. Pengujian alat akan dilakukan dalam sebuah akuarium / bak air dengan jarak objek ke kamera sekitar 10 - 30 cm. Konsumi daya raspberry dengan arus 3,1 A mampu menyala selama 3 jam 23 menit. Kontribusi dari implementasi teknologi underwater camera untuk lingkungan sekitar adalah masyarakat dapat berperan aktif dalam pengembangan pariwisata maritim dan konservasi laut melalui dampak sosial ekonomi
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Bunaken National Park is located in North Sulawesi Province, Indonesia. Located in the center of the world's Coral Triangle, the park is a globally important conservation area that provides habitat for a variety of marine life including fish and coral reefs. Glass-bottom boats are panoramic glass boats that allow passengers to observe the underwater environment directly from the boat. Unfortunately, prices Glass-bottom boats are not cheap because they must be constructed properly for the safety of tourists. Therefore, it is necessary to implement semi-permanent underwater camera technology using a quick release system to support the tourism industry and marine conservation in Bunaken National Park. The aim of implementing this technology is to transform an ordinary boat into a Smart Glass-Bottom Boat at an affordable price of around IDR 6,729,000 or around $432 so that tourists can enjoy the underwater beauty through the monitor screen. Underwater Camera technology uses a high quality camera up to 12 MP. Equipped with an Artificial Intelligence (AI) system, the camera can automatically detect fish in real-time which is displayed to tourists using the You Only Look Once (YOLO) v8 Nano method with test results of 5 FPS and the fastest delay of 1.62 seconds and Mean Average Precision. (mAp) of 83.72%. This data shows that the resulting mAP is included in the good category based on the size of YOLOv8N when compared to large. Testing of the tool will be carried out in an aquarium / water tank with a distance of around 10 - 30 cm from the object to the camera. Raspberry power consumption with a current of 3.1 A can run for 3 hours 23 minutes. The contribution of implementing underwater camera technology to the surrounding environment is that the community can play an active role in developing maritime tourism and marine conservation through socio-economic impacts

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Glass-bottom boat, Au-Fish, HQ Camera, Convolutional Neural network, Artificial Intelligence, Fish Detection.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. T Technology > TR Photography > TR263.S37 Sea & Sea cameras.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information Technology > 59201-(S1) Undergraduate Thesis
Depositing User:	Danish Putra Dandi
Date Deposited:	07 Feb 2024 01:43
Last Modified:	07 Feb 2024 02:05
URI:	http://repository.its.ac.id/id/eprint/106340

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