DEFAANTORI, LORENTINUS (2018) RANCANG BANGUN MODEL PENDETEKSI KERATAAN PERMUKAAN ASPAL LANDASAN PACU BERBASIS ACCELEROMETER. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.
Text (ABSTRAK)
13010037_ABSTRAK.pdf Download (128kB) |
|
Text (BAB I)
13010037_BAB I.pdf Download (102kB) |
|
Text (DAFTAR PUSTAKA)
13010037_DAFTAR PUSTAKA.pdf Download (94kB) |
|
Text (FULL SKRIPSI)
13010037.pdf Restricted to Repository staff only Download (2MB) |
Abstract
Supervision of aircraft safety during take off and landing must be taken into account, most aircraft accidents occur when the aircraft takes off and landing. Air traffic accidents can occur due to human factors or due to environmental factors. Uneven surface of the runway asphalt is one of the main cause in one of the environmental factors. To overcome these problems, an Accelerometer-based runway surface level detection system is designed to use Arduino Uno as a data processor, MPU- 6050 accelerometer sensor to detect asphalt surface slope, also as a vibraton detector due to asphalt surface unevenness. The data logger is used to store the data result from the sensor, the LCD display to tell the viewer that the system is ready to work. Microsoft Excel software is used to display data in the form of graphs of vibration readings and slope of an area that can be identified as deflection or damage to the asphalt surface. The results of the research using MPU-6050 accelerometer sensor is able to measure the asphalt slope with an average of X axis error of - 0.625%, and Y axis error of -0.318% and Hall Effect sensor KY-003 is able to measure the system mileage with an average error of +0,67%.
Item Type: | Thesis (Skripsi) |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Institut Teknologi Dirgantara Adisujtipto > Teknik Elektro |
Depositing User: | Mr LORENTINUS DEFAANTORI |
Date Deposited: | 20 Aug 2024 07:56 |
Last Modified: | 20 Aug 2024 07:56 |
URI: | http://eprints.stta.ac.id/id/eprint/2587 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year