The determination of noise area criteria based on prediction distance
International Journal of Development Research
The determination of noise area criteria based on prediction distance
Received 11th September, 2022; Received in revised form 20th September, 2022; Accepted 29th October, 2022; Published online 30th November, 2022
Copyright © 2022, Irwan Lakawa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The purpose of this study is to analyze the volume and level of traffic noise in the educational area on Ahmad Yani Street, to predict the intensity of noise that reaches the school environment, and to obtain the criteria for noisy areas (KDB) in each of these educational areas. The research method uses descriptive and mathematical statistics approaches. The results showed that the average traffic volume on Ahmad Yani Street was 2408 veh/h. The highest noise level on the roadside occurred in the Senior High School 4 Kendari area, which is 75.4 dB, followed by Vocational High School 1 Kendari 75.0 dB, and the lowest was in the Vocational High School 2 Kendari area 74.4 dB. The intensity of traffic noise is affected by the volume of the vehicle and the composition of heavy vehicles. Although based on the distance from the roadside the three school areas are still at a safe noise distance. Based on the intensity of the noise that occurs, the Senior High School 4 Kendari area is included in the category of Moderate Noise Area (DMB). The farther the receiver is from the noise source, the smaller the noise intensity, with an average reduction of 1.3 dB.
