Rancang Bangun Konfigurasi Sistem Pengambilan Data Batimetri Kontur Dasar Laut dengan Unmanned Surface Vehicle (USV)

Letak pelabuhan yang berada pada perairan yang dinamis seperti sungai, kanal, atau pantai yang mengalami pasang surut memiliki dampak terjasi sedimentasi pada kolam pelabuhan. Laju sedimentasi kolam pelabuhan dapat diketahui dengan melakukan pengukuran (survei batimetri) secara berkala. Metode survei batimetri konvensional secara langsung melibatkan personil untuk pengukuran manual atau dengan kapal yang dilengkapi peralatan survei. Salah satu permasalahan dalam survei secara konvensional adalah keterbatasan area survei batimetri karena kemampuan gerak kapal. Permasalahan tersebut mulai terjawab dengan adanya wahana remote controlled dan autonomous yang disebut sebagai Unmanned Surface Vehicle (USV). Saat ini USV dikembangkan sebagai wahana air permukaan tak berawak yang memiliki misi luas, salah satunya survei batimetri. Sistem pengambilan data menjadi sistem yang banyak mendapat perhatian dalam pengembangan USV untuk survei batimetri termasuk implementasi Internet of Thing (IoT). Namun di Indonesia pengembangan sistem pengambilan data berbasis IoT belum banyak dilakukan. Oleh karena itu melalui penelitian ini dilakukan rancang bangun konfigurasi sistem pengambilan data kedalaman dengan mengimplementasikan IoT. Sistem ini terdiri dari IoT support microcontroller, penginderaan bawah air, pembaca posisi, dan sensor IMU, client, dan penyimpan data virtual. Microcontroller berfungsi sebagai pusat kontrol yang menerima dan mengolah data mentah dari sensor sensor juga sebagai server pada transmisi data. Operasional sistem ditenagai oleh baterai yang tegangannya diatur oleh Power Supply Unit (PSU) dan distabilkan dengan buck converter. Berdasarkan pengujian sistem berhasil memetakan sebagian Danau 8 ITS dengan eror rata-rata sebesar 8,5%. =============================================================================================================================== Harbors are often located in dynamic waters such as rivers, canals or beaches that experience tides. One of the impacts of this phenomenon is sedimentation which can also occur in the harbor. The sedimentation rate of harbor ponds can be determined by conducting periodic measurements (bathymetry surveys). Conventional bathymetric survey methods directly involve personnel for both manual measurements and ships equipped with survey equipment. One of the problems in conventional surveys is the limitation of the bathymetry survey area due to the ship's motion capabilities. These problems are starting to be answered with the existence of remote controlled and autonomous vehicles called Unmanned Surface Vehicles (USV). Currently, USV is developed as an unmanned surface water vehicle that has a wide range of missions, one of which is bathymetry survey. The data retrieval system is a system that has received a lot of attention in the development of USVs for bathymetric surveys including the implementation of the Internet of Thing (IoT). However, in Indonesia, the development of an IoT-based data retrieval system has not been widely carried out. Therefore, through this research, the design of a depth data retrieval system configuration by implementing IoT is carried out. The system consists of IoT supported microcontroller, underwater sensing, position reader, and IMU sensor, client, and virtual data storage. The microcontroller functions as a control center that receives and processes raw data from sensors as well as a server for data transmission. The system operation is powered by a battery whose voltage is regulated by a Power Supply Unit (PSU) and stabilized by a buck converter. Based on testing the system successfully mapped a portion of ITS Lake 8 with an average error of 8.5%