ANALISIS PENGARUH HUMAN ERROR, KONDISI KENDARAAN DAN KONDISI JALAN TERHADAP KECELAKAAN LALU LINTAS PADA PENGENDARA SEPEDA MOTOR DI JALAN GEYER – PURWODADI KAB. GROBOGAN

NURUL, KHOIRIYAH MARSILA (2020) ANALISIS PENGARUH HUMAN ERROR, KONDISI KENDARAAN DAN KONDISI JALAN TERHADAP KECELAKAAN LALU LINTAS PADA PENGENDARA SEPEDA MOTOR DI JALAN GEYER – PURWODADI KAB. GROBOGAN. SKRIPSI.

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Abstract

Traffic Accidents is one of the most prevalent problems in the world that require serious handling considering the losses it causes, if the road accident problem is not properly noticed, it is feared that there will be an increase in traffic accident number from year to year, the purpose of this research is analyze the influence between independent variable to dependent variable. With the population of all users or motorcycle riders crossing of Geyer – Purwodadi Street, Grobogan District and taken as many as 100 respondents. With non-probability sampling technique of incidental sampling, data collection using questionnaires, data analysis techniques used are multiple regression analysis techniques including validity test, reliability test, classical assumption test, and hypothesis testing. Based on the analysis obtained the regression equation as follows: Y = 0.830 + 0.256 X1 + 0.171 X2 + 0,512 X3 + μ, correlation coefficient in this study amounted to 0.698 where the value terhdapat relationship between independent variables with dependent variable is equal to 69.8%. Hypothesis testing using t-test showed that the three independent variables, namely human error (X1), vechile condition (X2), road condition (X3), were proved to have positive and significant effect on dependent variable ie traffic accident, on the coefficient of determination test (R Square) Adjust R square value of 0.472 means 47.2% variation of variable bound traffic accidents can be explained by independent variables of human error, vehicle condition, and road condition. While the remaining 52.8% is explained by the causes other than the variables studied. Keywords: Human Error, Vehicle Condition, Road Condition, Traffic Accident

Item Type: Article
Additional Information: 172014050
Subjects: Transportasi
Divisions: Program Studi > S1-Transportasi
Depositing User: AMNI Perpustakaan Semarang
Date Deposited: 19 Jun 2020 04:56
Last Modified: 19 Jun 2020 04:56
URI: http://repository.unimar-amni.ac.id/id/eprint/2487

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