ANALYSIS OF ENVIRONMENTAL NOISE DISTRIBUTION IN AN ELECTRICAL WORKSHOP USING BOXPLOT STATISTICAL METHOD

Abstract

This study analyses the distribution of environmental noise levels in a technical workshop using a boxplot statistical approach. Noise data were collected from three monitoring stations over five working days, with measurements recorded at 15-minute intervals between 08:00 and 16:00. The dataset was processed using MATLAB R2019b to obtain key statistical parameters, including minimum, quartiles, median, maximum, and interquartile range (IQR). The results show that noise levels vary significantly across different days and monitoring locations. STA2 consistently recorded higher noise exposure and greater variability compared to STA1 and STA3, indicating that areas located near active working zones are more susceptible to fluctuating and elevated noise levels. In addition, certain days such as Tuesday and Friday exhibited higher variability, while other days showed more stable but consistently elevated noise conditions. The application of boxplot analysis provides a clearer understanding of noise distribution patterns beyond conventional average-based methods. This approach enables better identification of noise variability and potential high-risk zones within the workshop environment. The findings of this study can be used to support noise monitoring practices and contribute to improving safety and learning conditions in technical and vocational education settings.