ANALISIS FAKTOR KONDISI KENDARAAN,KONDISI JALAN DAN HUMAN ERROR YANG MEMPENGARUHI KECELAKAAN LALU LINTAS (Studi Kasus Pengguna Sepeda Motor Di Jalan Kedung Mundu Kota Semarang)

QHATTRUNNADA, PRIWIDIA SABILA (2022) ANALISIS FAKTOR KONDISI KENDARAAN,KONDISI JALAN DAN HUMAN ERROR YANG MEMPENGARUHI KECELAKAAN LALU LINTAS (Studi Kasus Pengguna Sepeda Motor Di Jalan Kedung Mundu Kota Semarang). SKRIPSI.

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Abstract

Indonesia from year to year has increased very rapidly. Transportation also plays an important role as a tool or support for economic activity in the community. One indicator that can be seen is the number of motorized vehicles that continues to increase from year to year. Based on data from the Indonesian Central Statistics Agency (BPS), "the development of the number of motorized vehicles by type in 1949 - 2018" the number of motorcycles from 1949 reached 4584 thous and units and in 2018 reached more than 120 million units. As one of the road users, the author feels the need to conduct research on the influence of the relationship between traffic accidents and road conditions, human error, vehicle conditions so as to reduce the accident rate on Jalan Kedung mundu, Semarang City. Traffic accidents on the highway are very tragic and many people die. The technique used is a non-probability sampling technique using incidental sampling of 100 samples. Questionnaire data processing is assisted by statistical software SPSS version 16. The analytical method used is multiple linear regression analysis. Based on the results of statistical testing using multiple linear regression, the following regression model was obtained Y= 3.194 + 0.375 X1 + 0.178 X2 + 0.204 X3 + µ From the results of the analysis using thestatistical application, it was SPSS V.16 found that the independent variable that had a positive and significant effect on accidents that occurred on the Kedung mundu Road, Semarang City was a factor of Vehicle Condition (X1) with a regression coefficient value of 0.375 and thevariable Human Error (X3). ) with a regression coefficient value of 0.204 and the variable Road Conditions (X2) with a coefficient value of 0.178 Keywords: Traffic Accident, Vehicle Condition, Road Condition, Human Error

Item Type: Article
Additional Information: 182114035
Subjects: Transportasi
Divisions: Program Studi > S1-Transportasi
Depositing User: AMNI Perpustakaan Semarang
Date Deposited: 18 Apr 2022 02:47
Last Modified: 02 Dec 2022 13:51
URI: http://repository.unimar-amni.ac.id/id/eprint/4196

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