ANANG ARIF TYANTO (2022) STUDI EKSPERIMENTAL KINERJA KAPAL KATAMARAN PENDETEKSI KEDALAMAN BANJIR. S1 thesis, Universitas Muhammadiyah Yogyakarta.
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Abstract
The development of IoT-based technology in the current era is growing very rapidly. One of the developments in IoT-based technology can be felt and utilized for disaster management. Floods are one of the natural disasters that often occur in Indonesia, the impact of which is quite detrimental to the community. To reduce the losses incurred, a tool is needed to detect flood depths whose depth readings can be seen on a smartphone and can reach flooded areas that are difficult to reach. Therefore, an experimental study was made to determine the performance of the flood depth detection vessel. Experimental studies conducted using several methods. Depth detection is done by comparing the sonar sensor measurements with manual measuring instruments in 5 different depth points. The calculation of the ship's maneuvering speed is carried out by comparing 3 variations of speed with maneuver angles of 90º, 120º, 140º, 160º, and 180º. The calculation of the ship's resistance and effective power in this study uses the holtrop calculation method, with variations in speed of 1.5 m/s, 2 m/s, and 2.5 m/s. Based on the results of tests and mathematical calculations carried out in determining the depth reading error, the largest error was 3.8% and the smallest error was 0.4%. The result of the ship's maneuvering speed in 3 variations of speed is that the greater the angle of maneuver, the slower the ship's speed and vice versa. The results of the calculation of the ship's resistance and effective power obtained at variations in speed of 1.5 m/s (3.5 N; 5.25 W), 2 m/s (5.9 N; 11.8 W), and 2.5 m /s (8.8 N; 22 W). Based on the results obtained, the graph shows that the greater the speed of the ship, the greater the Resistance and the effective power on the catamaran
Item Type: | Thesis (S1) |
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Uncontrolled Keywords: | EXPERIMENT, CATAMARAN, DEPTH, MANEUVER SPEED, RESISTANCE, EFFECTIVE POWER |
Divisions: | Program Vokasi > Teknologi Mesin D3 |
Depositing User: | M. Erdiansyah |
Date Deposited: | 17 May 2022 06:39 |
Last Modified: | 17 May 2022 06:39 |
URI: | https://etd.umy.ac.id/id/eprint/29221 |