Noise Level Analysis Using Noise Modeling Method on the Railway Line of Saungnaga Village, Ogan Komering Ulu Regency
DOI:
https://doi.org/10.59261/jequi.v8i4.439Keywords:
Railway Noise, Noise Modeling, Sound Level Meter, Noise Mapping; Residential Area, Community PerceptionAbstract
Background: Railway transportation plays an important role in supporting passenger mobility and the distribution of goods. However, railway operations can generate environmental noise, particularly in residential areas located near railway tracks. Excessive noise exposure may disturb residents' comfort and daily activities.
Objective: This study aims to analyze railway noise levels, identify the spatial distribution of noise using noise modeling, and describe residents' perceptions of railway noise in Saung Naga Village, Baturaja Barat District, Ogan Komering Ulu Regency.
Methods: Noise measurements were conducted at three locations and at three distances 5, 10, and 15 m from the railway track. Measurements were performed using a sound level meter (SLM) during daytime (06:00–22:00 WIB) and nighttime (22:00–06:00 WIB) periods. The measurement data were processed to determine equivalent continuous sound levels, including Ls, Lm, and Lsm. Noise distribution was modeled using Surfer and Google Earth Pro. In addition, interviews were conducted with 30 residents living near the railway track.
Results: The 24-hour equivalent continuous sound levels (Lsm) ranged from 65.92 to 87.29 dBA. All nine measurement points exceeded the 55 dBA noise standard for residential areas. The highest Lsm value was recorded at Location 2 at a distance of 5 m, reaching 87.29 dBA, whereas the lowest value was recorded at Location 2 at a distance of 15 m, reaching 65.92 dBA. The interview results indicated that residents perceived the railway noise as high and reported disturbances related to sleep, concentration, and comfort.
Conclusion: Railway noise in Saung Naga Village exceeds the applicable residential noise standard and is perceived as a significant environmental disturbance by nearby residents. Increasing the number of measurement points, conducting periodic noise monitoring, and evaluating the feasibility of installing noise barriers are recommended as mitigation measures.
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