Devis, Muhamad Kurniawan (2022) PENGARUH ARUS KENDARAAN ANGKUTAN UMUM (BUS) TERHADAP TINGKAT KEMACETAN LALU LINTAS DI KEC. INDIHIANG KOTA TASIKMALAYA (Studi Kasus Pada Ruas Jalan Indihiang Kota Tasikmalaya). SKRIPSI.
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Abstract
Congestion is a condition where the flow of traffic that passes on a segment of a road that is reviewed is more than the capacity of the planned road that is currently passing the queue. When passing through traffic, the value of the degree of saturation reaches more than 0.75. Currently traffic jams are an event that we usually see in the morning, afternoon and evening waiting for the night. This problem occurs because there is an increase in the number of vehicles with unbalanced road growth, which causes congestion and can also cause traffic accidents. This problem is also an old problem which until now has not found the right solution. The purpose of this study was to analyze the influence of independent variables namely economic growth, traffic volume, and side barriers to the dependent variable, namely traffic congestion. In this study the object of tourism taken was the surrounding community on the indihiang road in the city of Tasikmalaya. The sample of this research is 100 respondents with the technique used is non-probality sampling technique that is by using incidental sampling, which is a sampling technique that is related to or who is related to the research used as a sample. The research model is multiple linear regression analysis. Based on the results of the study and the multiple linear forces produced the equation: Y = 3,524 +0,089X1+0,370X2 + 0,291X3 µ The results of the multiple linear regression equation show that there is no positive and significant effect between vehicle volume on traffic congestion (tcount 1.499 < ttable 1.984) while the road performance has a positive influence on traffic congestion (tcount 3.899 > t table 1.984), and obstacles aside from traffic jams (tcount 3,899> ttable 1,984). The influence of the three variables of this study was obtained with the correlation value of adjusted R2 = 0.426. Simultaneously the variables of economic growth, traffic volume, and side barriers influence 42.6% of traffic congestion and 56.4% are influenced by research variables not detected in this study. Keywords: Vehicle Volume, Road Performance, Traffic jams, Traffic Congestion
Item Type: | Article |
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Additional Information: | 16.17.04.048 |
Subjects: | Transportasi |
Divisions: | Program Studi > S1-Transportasi |
Depositing User: | AMNI Perpustakaan Semarang |
Date Deposited: | 16 Jan 2023 05:55 |
Last Modified: | 16 Jan 2023 05:55 |
URI: | http://repository.unimar-amni.ac.id/id/eprint/4755 |
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