Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 11 No. 2 (2026): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

ANALISIS TINGKAT KEBISINGAN LINGKUNGAN MENGGUNAKAN METODE MOVING AVERAGE FILTER BERBASIS DATA PENGUKURAN DIGITAL DI KAWASAN KWU UNIVERSITAS NEGERI SEMARANG

DOI:
https://doi.org/10.5281/zenodo.21367425
Submitted
July 14, 2026
Published
2026-07-14

Abstract

and the quality of activities in educational areas. Noise fluctuations often introduce random variations into measurement data, reducing interpretation accuracy. This study aimed to analyze environmental noise characteristics in the KWU area of Universitas Negeri Semarang (UNNES) using descriptive statistics, Equivalent Continuous Noise Level (Leq), and a Moving Average Filter (MAF). Noise data were collected using a smartphone-based sound level measurement application during morning, afternoon, and evening periods. The results showed that the morning period had the highest noise level, with a mean value of 77.07 dB and an Leq of 79.55 dB, while the evening period recorded the lowest mean value of 69.36 dB and an Leq of 72.07 dB. The application of MAF did not significantly alter the mean values but reduced the standard deviation from 4.50 dB to 3.08 dB, from 4.91 dB to 3.20 dB, and from 5.06 dB to 3.09 dB. In addition, Leq values decreased across all observation periods. These findings demonstrate that the integration of descriptive statistics, Leq, and MAF effectively improves the stability and representativeness of noise data while preserving the primary characteristics of the acoustic environment.

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