RANCANG BANGUN IDENTIFIED OBJECT SEBAGAI SOLUSI UNTUK MENGATASI KECELAKAAN KERETA DENGAN MENGGUNAKAN SENSOR LIDAR
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
MAHAYANA, WENGKU
Pratama Putera, Rizki
Pratama Putera, Rizki
Subject
Teknik Elektro
Datestamp
2022-10-11 04:19:51
Abstract :
Train accidents are still common in Indonesia. In 2018 there were 395 cases of train accidents with a total of 245 fatalities. Identified Object is a tool that works by using a laser beam to determine the presence of objects on the train track. This tool helps the driver to take action so that accidents do not occur. To determine the performance of the Identified Object tool, a distance reading test was carried out by providing variations in distance changes, differences inp test time, and differences in weather conditions consisting of non-rainy conditions and rainy conditions. The accuracy of the Identified Object tool is calculated by measuring the error value on the test. The farther the test distance, the greater the error value. While the test conditions at night have better accuracy than the morning and afternoon. The average error value of the test time at night is 0.79% in non-rainy conditions and 4.09% in rainy conditions. Rainy weather conditions have an error value of 4.23%, this value is greater than non-rainy conditions, which is 0.94%. T-test and ANOVA analysis were performed to see the significance of the differences. The results of the analysis show that differences in distance treatment, differences in test time, and differences in weather conditions do not affect the performance of the Identified Object tool, so that this tool can potentially be used in the railway system in Indonesia.
Train accidents are still common in Indonesia. In 2018 there were 395 cases of train accidents with a total of 245 fatalities. Identified Object is a tool that works by using a laser beam to determine the presence of objects on the train track. This tool helps the driver to take action so that accidents do not occur. To determine the performance of the Identified Object tool, a distance reading test was carried out by providing variations in distance changes, differences inp test time, and differences in weather conditions consisting of non-rainy conditions and rainy conditions. The accuracy of the Identified Object tool is calculated by measuring the error value on the test. The farther the test distance, the greater the error value. While the test conditions at night have better accuracy than the morning and afternoon. The average error value of the test time at night is 0.79% in non-rainy conditions and 4.09% in rainy conditions. Rainy weather conditions have an error value of 4.23%, this value is greater than non-rainy conditions, which is 0.94%. T-test and ANOVA analysis were performed to see the significance of the differences. The results of the analysis show that differences in distance treatment, differences in test time, and differences in weather conditions do not affect the performance of the Identified Object tool, so that this tool can potentially be used in the railway system in Indonesia.
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