ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI KEMACETAN LALU LINTAS PADA RUAS JALAN BYPASS NGURAH RAI BALI

I MADE, BAWA ANTARA PUTRA (2022) ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI KEMACETAN LALU LINTAS PADA RUAS JALAN BYPASS NGURAH RAI BALI. SKRIPSI.

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Abstract

Traffic congestion is influenced by several factors including traffic volume, roads, and traffic light. Of the three have an influence on traffic jams with satisfactory results. The purpose of this study is to determine whether there is an effect of traffic volume, roads, traffic light on traffic jams at the Bali Provincial Transportation Service. In this study, the research population is road users who cross the Bypass Ngurah Rai Bali road by taking a sample system with a total of 100 respondents (samples). The variables in this study consist of: The independent variable is the influence of traffic volume (X.1), road sections (X.2), and traffic light (X.3) and the dependent variable is traffic hour (Y). The research model is multiple linear regression analysis. This type of research is causal correlation, used to test the hypothesis about the relationship between independent variables and the dependent variable, whose description is associative, namely research that aims to determine the relationship between two or more variables. The results of the analysis using the statistical tool SPSS V.22 program obtained multiple linear regression equations Y = 0.637+ 0.115X1 + 0.585X2 + 0.256X3 + µ. Shows that, based on empirical facts (the results of filling out the questionnaire) and multiple linear regression results show that the traffic volume variable (X1) has a t count of 2.414 and a t table of 1.983, H1 is accepted and significant, the road segment (X2) has a t count of 5.975 and t table of 1.983 then H2 is accepted and significant, natural conditions have t count of 2.641 and t table of 1.983 then H3 is accepted and significant. In the coefficient of determination test (R Square) the Adjust R square value of 0.749 means that 74.9% of the variation in the dependent variable of traffic congestion factors can be explained by the independent variables of traffic volume, roads and traffic light. While the remaining 25.1% is explained by other reasons outside the variables studied. Keywords: Traffic Congestion, Traffic Volume, Road Section, Traffic Light

Item Type:	Article
Additional Information:	17.18.04.103
Subjects:	Transportasi
Divisions:	Program Studi > S1-Transportasi
Depositing User:	AMNI Perpustakaan Semarang
Date Deposited:	23 May 2022 04:53
Last Modified:	23 May 2022 04:53
URI:	http://repository.unimar-amni.ac.id/id/eprint/4230

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