Please use this identifier to cite or link to this item: https://repositori.mypolycc.edu.my/jspui/handle/123456789/7113
Title: TRAFFIC NOISE LEVEL ANALYSIS ON AHMAD YANI ROAD IN BANJARMASIN CITY
Authors: Muhammad Arsyad
Markawie
Badarudin Mumin
Husnul Khatimi
Keywords: Noise
Sound kevel meter
Issue Date: Sep-2023
Publisher: IAEME Publication
Series/Report no.: International Journal of Civil Engineering and Technology (IJCIET);Volume 14, Issue 5
Abstract: Along with the development of the times, the problems caused in the field of transportation are not only congestion problems but also environmental problems such as noise pollution. Noise is an excessive sound that comes from the activities of motorized vehicles both heavy vehicles (HV), light vehicles (LV) and Motorcycles (MC) that can cause the effect of human health problems and comfort of the surrounding environment. This study aims to determine the noise level that occurs on the Ahmad Yani road section where the road section is the main road that crosses the center of Banjarmasin City and various other important places such as government offices, hospitals, shopping centers, traditional markets to tourist attractions. In this research, noise measurement was carried out using the primary data collection method by conducting surveys at 5 location points along Jalan Ahmad Yani KM 01-06 Banjarmasin which was carried out 1 day weekday and 1 day weekend for 12 hours from 06.00 to 18.00 using a Sound Level Meter tool. The result of the noise level using the Sound Level Meter, the highest leq value was 87.34 dB(A) at 07.00-08.00. With this noise value, the results show that the Ahmad Yani Km 01-06 road section has exceeded the permissible noise standard according to Kep. MenLH No.48/MenLH/11/1996 concerning the standard noise level which ranges from 55-60 dB(A) for government and public facilities and other activity environments.
URI: https://repositori.mypolycc.edu.my/jspui/handle/123456789/7113
ISSN: 0976-6308
0976-6316
Appears in Collections:JABATAN KEJURUTERAAN AWAM

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