Noise Threshold Research Articles

RELATIONSHIP OF NOISE INTENSITY WITH INCREASED BLOOD PRESSURE IN WORKERS IN THE TURBINE AND BOILER AREA MANUFACTURING COMPANY

Introduction: Manufacture company is a company focusing on the plantation located in Ogan Ilir Regency. In detail, this company is engaged in the agribusiness of sugar cane plantations and a sugar manufacturing factory. In the production/processing system in the manufacturing company, there is a large noise in the work area, namely the turbine and boiler. These workers are exposed to continuous daily noise in their work environment, which can cause health problems, including increased blood pressure. High blood pressure prevalence in workers exposed to noise levels greater than 75 dB(A) was 82,4%. Aims: To analyze the relation of noise intensity to blood pressure increase in workers in the Turbine and Boiler area of the manufacturing company. Method: The study uses a cross-sectional study. The number sample in this study is 80 workers. Data analysis was using univariate and bivariate analysis with Chi-square and Fisher’s exact test. Result: The study shows that the majority of workers' blood pressure is not increased by 46 workers (57.5%) greater than workers whose blood pressure is increased by 34 workers (42.5%). Factors influencing the increase in blood pressure were noise intensity, age, years of service, length of exposure, and ear protection usage, and there is no relationship between smoking habits and sports habits with increased blood pressure. Conclusion: There are five variables related to noise intensity and blood pressure increase, and the area with the highest noise threshold value is the combustion kitchen boiler area.

Bearing Fault Diagnosis Based on VMD-WPT-ViT for Wind Turbine

As an important part of wind turbine, the fault diagnosis of rolling bearings is helpful to maintain the stable operation of the fan. However, most of the existing fault diagnosis methods focus on one-dimensional time series data, which is not only difficult to extract multi-level feature information, but also fails to consider the noise problem in the signal. Therefore, to solve the above problems, a noise reduction algorithm combining variational mode decomposition (VMD) and wavelet packet threshold noise reduction (WPT) is proposed, and Vision-Transformer (ViT) model is combined to realize the fault diagnosis of rolling bearings of wind turbines. VMD is used to decompose the original signal and find out the noisy component. WPT is used to de-noise the component, and the de-noised component and other components are reconstructed to form a pure signal and converted into a two-dimensional image. Finally, a diagnostic model is built based on Vision-transformer. The experimental results show that the proposed method can effectively improve the diagnostic accuracy by extracting the advanced global features of the signal.

Ten-year association between change in speech-in-noise recognition and falls due to balance problems: a longitudinal cohort study

BackgroundThis study examined the relationship between speech-in-noise recognition and incident/recurrent falls due to balance problems ten years later (RQ-1); 10-year change in speech-in-noise recognition and falls (RQ-2a), as well as the role of dizziness in this relationship (RQ-2b). The association between hearing aid use and falls was also examined (RQ-3).MethodsData was collected from the Netherlands Longitudinal Study on Hearing between 2006 and December 2022. Participants completed an online survey and digits-in-noise test every five years. For this study, data was divided into two 10-year follow-up time intervals: T0 (baseline) to T2 (10-year follow-up), and T1 (5-years) to T3 (15-years). For all RQs, participants aged ≥ 40 years at baseline, without congenital hearing loss, and non-CI users were eligible (n = 592). Additionally, for RQ-3 participants with a speech reception threshold in noise (SRTn) ≥ -5.5 dB signal-to-noise ratio were included (n = 422). Analyses used survey variables on hearing, dizziness, falls due to balance problems, chronic health conditions, and psychosocial health. Logistic regressions using General Estimating Equations were conducted to assess all RQs.ResultsAmong individuals with obesity, those with poor baseline SRTn had a higher odds of incident falls ten years later (odds ratio (OR):14.7, 95% confidence interval (CI) [2.12, 103]). A 10-year worsening of SRTn was significantly associated with a higher odds of recurrent (OR: 2.20, 95% CI [1.03, 4.71]) but not incident falls. No interaction was found between dizziness and change in SRTn. Hearing aid use (no use/ < 2 years use vs. ≥ 2 years) was not significantly associated with incident nor recurrent falls. Although there was a significant interaction with sex for this association, the effect of hearing aid use on incident/recurrent falls was not statistically significant among males nor females.ConclusionsA longitudinal association between the deterioration in SRTn and recurrent falls due to balance problems after 10 years was confirmed in this study. This result stresses the importance of identifying declines in hearing earlier and justifies including hearing ability assessments within fall risk prevention programs. Mixed results of hearing aid use on fall risk warrant further investigation into the temporality of this association and possible differences between men and women.

Comparison of spectral resolution and spectro-temporal modulation sensitivity well above and near the hearing threshold

Spectral resolution and spectro-temporal modulation (STM) sensitivity both show a correlation with speech reception thresholds in noise. Both are also sensitive to the difficulties resulting from sensorineural hearing loss; however, the relationship between the two is not fully understood. The present study investigated the potential relationship between spectral resolution and STM sensitivity and the impact of presentation level in young, normal hearing listeners. Four noise carriers were tested with the two broader bandwidths and two 1-octave wide bandwidths: 200–6400 Hz, 1250–5000 Hz, 1250–2500 Hz, &amp; 2500–5000 Hz. Presentation levels were 70 dB SPL and 20 dB SL relative to the individual’s pure-tone frequency-shaped noise carrier threshold. Spectral resolution was tested using a phase reversal paradigm, also known as a spectral ripple discrimination task, with thresholds measured in cycles per octave. Spectral, temporal, and STM sensitivity were each tested using a depth detection task, with thresholds measured in dB. On a test-by-test case, results were aligned with past studies that included a single test. The results show that both sensitivities are distinct at a low presentation level close to individual hearing thresholds, and a mixed relationship between both measures indicate that spectral resolution may only be one contributor to STM sensitivity.

A simulator for Timepix-like pixel front-ends

This work presents the development of a front-end simulation code for the Timepix3 readout chip [1], intended as digitizer stage in full detector simulation. The front-end electronics is modelled using an integrator stage and 3 parallel feedback loops with individually configurable time constants. The main feedback discharging the integrator consists of 3 low-pass filtered feedback loops. The leakage current compensation is approximated by an additional independent low-pass filtered feed-back loop. The system noise is modelled using independent bandwidth limited noise channels for pre-amplifier, feedback and threshold noise. The Timepix3 time of arrival (ToA) and time over threshold (ToT) measurement is implemented by a discriminator model with independent rise and fall times and 2 independent clock frequencies for ToA and ToT. The measured dependence of the ToT on the pre-amplifier input charge using test-pulses of a Timepix3 assembly is correctly reproduced for a wide range of discriminator settings.

Quantifying northern bottlenose and sperm whale acoustic behavioural responses to anthropogenic noise in Baffin Bay, Canada

Marine mammals rely on their auditory system for a myriad of life functions (e.g., navigating, foraging, socializing) and consequently, are vulnerable to loud human activities (e.g., vessel traffic, fishing, military activities). These activities can impede communication, cause behavioural disturbances, and can even cause injuries. As the Arctic warms and sea ice coverage decreases, more opportunities for human activities are arising. How noise impacts the acoustic behaviour of Arctic marine mammals is unclear. In October 2022 and 2023 controlled noise exposure experiments were conducted using military sonar (source level of 176.4 dB re 1 μPa) on northern bottlenose and sperm whales in Baffin Bay while they were foraging around vessels actively fishing. Hydrophone suction-cup biologgers (DTAGs; n = 5, ∼72 cumulative hours) were used to capture vessel and sonar noises, and whale vocalizations before, during, and after the noise exposure periods. Using a click detector, focal whale clicks were identified and quantitatively compared to received noise levels. This information will then be used to determine noise thresholds for acoustical behavioural responses. These results will support risk-mitigation strategies for the Department of National Defence Canada and Fisheries and Oceans Canada, as well as address Inuit concerns about the effects of military sonar on marine mammals.

Analisa Kebisingan Pada Alat Berat Wheel Loader Wa-350 Berdasarkan Perbandingan Jarak 50, 100, 150 Cm Dan Kapasitas

Wheel loader is a tool that facilitates work by using hydraulic energy. Wheel loader testing is carried out by looking for noise data arising in the combustion chamber. There are several stages that must be done, namely the first step is to prepare a sound level meter as a noise detection device for heavy equipment, wheel loader, then take measurements with several variations in the distance between the combustion chamber and the sound level meter. In the next step we can find out the noise level read at the sound level meter with ideal, medium, and maximum rotation on the WA-350 wheel loader. So that the Noise Threshold Value according to Permenaker No. per-51 / MEN / 1999, ACGIH, 2008 and SNI 16-7063-2004 is 85 dB. So the noise produced by the Wheel Loader above the NAB Permenaker 104.7dB can cause tingling, unwell, hearing saturation, stomach pain, and circulatory problems. It is recommended that workers are required to use earmuffs or ear muffs.

A new active bone-conduction implant: surgical experiences and audiological outcomes in patients with bilateral congenital microtia.

First-generation bone bridges (BBs) have demonstrated favorable safety and audiological benefits in patients with conductive hearing loss. However, studies on the effects of second-generation BBs are limited, especially among children. In this study, we aimed to explore the surgical and audiological effects of second-generation BBs in patients with bilateral congenital microtia. This single-center prospective study included nine Mandarin-speaking patients with bilateral microtia. All the patients underwent BCI Generation 602 (BCI602; MED-EL, Innsbruck, Austria) implant surgery between September 2021 and June 2023. Audiological and sound localization tests were performed under unaided and BB-aided conditions. The transmastoid and retrosigmoid sinus approaches were implemented in three and six patients, respectively. No patient underwent preoperative planning, lifts were unnecessary, and no sigmoid sinus or dural compression occurred. The mean function gain at 0.5-4.0kHz was 28.06 ± 4.55-dB HL. The word recognition scores improved significantly in quiet under the BB aided condition. Signal-to-noise ratio reduction by 10.56 ± 2.30dB improved the speech reception threshold in noise. Patients fitted with a unilateral BB demonstrated inferior sound source localization after the initial activation. Second-generation BBs are safe and effective for patients with bilateral congenital microtia and may be suitable for children with mastoid hypoplasia without preoperative three-dimensional reconstruction.

The perception of ultrasonic vocalizations by laboratory mice following intense noise exposures.

Noise-induced hearing loss interacts with age, sex, and listening conditions to affect individuals' perception of ecologically relevant stimuli like speech. The present experiments assessed the impact of age and sex on vocalization detection by noise-exposed mice trained to detect a downsweep or complex ultrasonic vocalization in quiet or in the presence of a noise background. Daily thresholds before and following intense noise exposure were collected longitudinally and compared across several factors. All mice, regardless of age, sex, listening condition, or stimulus type showed their poorest behavioral sensitivity immediately after the noise exposure. There were varying degrees of recovery over time and across factors. Old-aged mice had greater threshold shifts and less recovery compared to middle-aged mice. Mice had larger threshold shifts and less recovery for downsweeps than for complex vocalizations. Female mice were more sensitive, had smaller post-noise shifts, and had better recovery than males. Thresholds in noise were higher and less variable than thresholds in quiet, but there were comparable shifts and recovery. In mice, as in humans, the perception of ecologically relevant stimuli suffers after an intense noise exposure, and results differ from simple tone detection findings.

Speech Understanding and Subjective Listening Effort in Noise With Different OTEs and Sound Processing Technologies.

To determine speech reception thresholds (SRTs) in noise and subjective listening effort (LE) in cochlear implant (CI) recipients for application of three sound processing (SP) technologies with two off-the-ear (OTE) CI sound processors, a fixed moderately directional microphone (Standard), an adaptive directional microphone (Beam), and the spatial noise-reduction setting ForwardFocus, with the Kanso 2 (OTE2), and Beam with the Kanso (OTE1). Prospective repeated measures, within-subject design. Single tertiary-referral center. Twenty CI recipients with bilateral severe-to-profound sensorineural hearing loss. SRTs were assessed in two spatial configurations with frontal speech and noise from 90-180-270 degrees (S0N90-180-270) or from the CI side (S0NCI). SRTs were obtained for sentences of the Oldenburg sentence test presented in International Collegium of Rehabilitative Audiology (ICRA) noise ICRA5-250. LE for speech understanding in noise was evaluated in S0N90-180-270 and assessed in effort scale categorical units (ESCUs) by using Adaptive Categorical Listening Effort Scaling (ACALES). LEs at 5-dB signal-to-noise ratio (SNR) were calculated from fitted psychometric curves. With OTE2 in S0N90-180-270, SRT with ForwardFocus (-4.28 dB SNR) was better than with Beam (-3.13 dB SNR) and Standard (0.43 dB SNR). ForwardFocus showed lower LE5dB (2.61 ESCU) compared with Beam (4.60 ESCU) and Standard (5.32 ESCU). In a comparison of both OTEs in S0N90-180-270 regarding best-performing SP technology, ForwardFocus with OTE2 yielded a better SRT and better LE5dB than Beam with OTE1 (SRT: -1.70 dB SNR; LE5dB: 4.00 ESCU). With OTE2 in S0NCI, SRT was improved with ForwardFocus (-2.78 dB SNR) compared with Beam (-1.23 dB SNR) and Standard (1.83 dB SNR). With respect to SP technology and OTE, CI recipients experience best SRT and lowest LE in S0N90-180-270 when using ForwardFocus with OTE2. ACALES is feasible for assessing subjective LE in CI recipients.

De-noising classification method for financial time series based on ICEEMDAN and wavelet threshold, and its application

This paper proposes a classification method for financial time series that addresses the significant issue of noise. The proposed method combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and wavelet threshold de-noising. The method begins by employing ICEEMDAN to decompose the time series into modal components and residuals. Using the noise component verification approach introduced in this paper, these components are categorized into noisy and de-noised elements. The noisy components are then de-noised using the Wavelet Threshold technique, which separates the non-noise and noise elements. The final de-noised output is produced by merging the non-noise elements with the de-noised components, and the 1-NN (nearest neighbor) algorithm is applied for time series classification. Highlighting its practical value in finance, this paper introduces a two-step stock classification prediction method that combines time series classification with a BP (Backpropagation) neural network. The method first classifies stocks into portfolios with high internal similarity using time series classification. It then employs a BP neural network to predict the classification of stock price movements within these portfolios. Backtesting confirms that this approach can enhance the accuracy of predicting stock price fluctuations.

Extending loophole-free nonlocal correlations to arbitrarily large distances

Quantum theory allows spatially separated observers to share nonlocal correlations, which enable them to accomplish classically inconceivable information processing and cryptographic feats. However, the distances over which nonlocal correlations can be realized remain severely limited due to their high fragility to noise and high threshold detection efficiencies. To enable loophole-free nonlocality across large distances, we introduce Bell experiments wherein the spatially separated parties randomly choose the location of their measurement devices. We demonstrate that when devices close to the source are perfect and witness extremal nonlocal correlations, such correlations can be extended to devices placed arbitrarily far from the source. To accommodate imperfections close to the source, we demonstrate an analytic trade-off: the higher the loophole-free nonlocality close to the source, the lower the threshold requirements away from the source. We utilize this trade-off and formulate numerical methods to estimate the critical requirements of individual measurement devices in such experiments.

Impacto do uso da verificação eletroacústica dos aparelhos de amplificação sonora individual na percepção de fala e desempenho do usuário nas atividades diárias

ABSTRACT Purpose: to assess the impact of electroacoustic verification on the satisfaction level and speech recognition in quiet and noise of hearing aid users. Methods: 24 individuals who had been using the device for at least 1 year and had not previously performed electroacoustic verification were assessed. In the first session, participants responded to the International Outcome Inventory for Hearing Aids validation questionnaire and indicated their satisfaction level on a visual analog scale. They were, then, subjected to speech perception tests in quiet and noise and electroacoustic verification, returning after 3 months and repeating the first stage assessments. The Wilcoxon test and paired t-test were used for data analysis, with significance set at p-value ≤ 0.05. Results: the visual analog scale assessment, the International Outcome Inventory for Hearing Aids score, the speech perception threshold in quiet and noise, and the signal/noise ratio improved after 3 months. Conclusion: individuals who had been using the device for at least 1 year had a substantial improvement in their satisfaction level and speech perception in quiet and noise after the electroacoustic verification.

Effect of inter-aural temporal envelope differences on inter-aural time difference thresholds for amplitude modulated noise.

The inter-aural time difference (ITD) and inter-aural level difference (ILD) are important acoustic cues for horizontal localization and spatial release from masking. These cues are encoded based on inter-aural comparisons of tonotopically matched binaural inputs. Therefore, binaural coherence or the interaural spectro-temporal similarity is a pre-requisite for encoding ITD and ILD. The modulation depth of envelope is an important envelope characteristic that helps in encoding the envelope-ITD. However, inter-aural difference in modulation depth can result in reduced binaural coherence and poor representation of binaural cues as in the case with reverberation, noise and compression in cochlear implants and hearing aids. This study investigated the effect of inter-aural modulation depth difference on the ITD thresholds for an amplitude-modulated noise in normal hearing young adults. An amplitude modulated high pass filtered noise with varying modulation depth differences was presented sequentially through headphones. In one ear, the modulation depth was retained at 90% and in the other ear it varied from 90% to 50%. The ITD thresholds for modulation frequencies of 8 Hz and 16 Hz were estimated as a function of the inter-aural modulation depth difference. The Friedman test findings revealed a statistically significant increase in the ITD threshold with an increase in the inter-aural modulation depth difference for 8 Hz and 16 Hz. The results indicate that the inter-aural differences in the modulation depth negatively impact ITD perception for an amplitude-modulated high pass filtered noise.

Optimal Wavelet Selection for Signal Denoising.

Wavelet denoising plays a key role in removing noise from signals and is widely used in many applications. In denoising, selection of the mother wavelet is desirable for maximizing the separation of noise and signal coefficients in the wavelet domain for effective noise thresholding. At present, wavelet selection is carried out in a heuristic manner or using a trial-and-error that is time consuming and prone to error, including human bias. This paper introduces a universal method to select optimal wavelets based on the sparsity of Detail components in the wavelet domain, an empirical approach. A mean of sparsity change ( ) parameter is defined that captures the mean variation of noisy Detail components. The efficacy of the presented method is tested on simulated and experimental signals from Electron Spin Resonance spectroscopy at various SNRs. The results reveal that the values of signal vary abruptly between wavelets, whereas for noise it displays similar values for all wavelets. For low Signal-to-Noise Ratio (SNR) data, the change in between highest and second highest value is ≈ 8 - 10% and for high SNR data it is around 5%. The mean of sparsity change increases with the SNR of the signal, which implies that multiple wavelets can be used for denoising a signal, whereas, the signal with low SNR can only be efficiently denoised with a few wavelets. Either a single wavelet or a collection of optimal wavelets (i.e., top five wavelets) should be selected from the highest values. The code is available on GitHub and the signalsciencelab.com website.

Correlation Of Noise Levels With Work Stress For Natural Stone Factory Workers In An Occupational Health Law Perspective

Introduction: Permenkes No. 70 of 2016 concerning Standards and Requirements for Industrial Work Environment Health states that the NAB or Threshold Limit Value is the average intensity of exposure to physical or chemical hazards that can be accepted by all workers without causing health problems or illness at work in a day that does not exceed 8 hours. per day or 40 hours per week. The aim of this research is to determine the relationship between noise levels and work stress in natural stone factory workers in terms of health law. Method: The type of research used in this research is quantitative research with an observational analytical research design and a cross-sectional approach. The population of this study were workers at a natural stone factory in Kepuh village, Cirebon district. The sampling technique used was total sampling. The samples used were all 59 natural stone factory workers in Kepuh village, Cirebon district. Results: The research results show that most factory production areas are noisy (79.7%), factory workers experience as much stress as 76,5% Discussion: The conclusion of the research shows that there is a significant relationship between noise levels and work stress among natural stone factory workers in Kepuh Village, Cirebon Regency with p value = 0.000. The results of the juridical analysis of the relationship between noise levels and work stress among natural stone factory workers from a health law perspective are linked with Industrial Work Environment Health Standards and Requirements (Permenkes No. 70 of 2016) which states that every industry is obliged to meet standards and implement industrial work environment health requirements. The lack of socialization regarding legal regulations has resulted in the non-fulfillment of the noise threshold standards that should exist in the natural stone industry.

A Methodology for Quantifying the Spatial Distribution and Social Equity of Urban Green and Blue Spaces

Urban green and blue space (UGBS) contribute to a variety of nature-based values and human health benefits. As such, they play a critical role for the quality of life and sustainability in cities. Here, we use the metropolitan area of Geneva, Switzerland, as a case study to illustrate that UGBS are heterogeneous in spatial characteristics, such as surface area, naturality, or noise levels, which are associated with key cultural ecosystems services. For each characteristic, we defined a threshold with the realization of an associated cultural ecosystem service, including a novel noise threshold (LAeq &lt; 45 dB) compatible with the notion of “quiet”. We then used geospatial information to generate place-based and people-based indicators that collectively describe the variation in key dimensions of UGBS. We found that, in Geneva, the typical (median) resident has access to 4.7 ha of UGBS, and 89% of residents live within 300 m of the nearest UGBS. Accessible surfaces of UGBS per capita, however, were highly variable by type of UGBS and across neighbourhoods. For example, residents from precarious neighbourhoods are less likely to live within 300 m of quiet UGBS than residents of privileged neighbourhoods, and when they do, these UGBS tend to be smaller. The proposed methodology categorizes UGBS in a manner that both captures their distinct social roles and highlights potential social injustice issues.

Effectiveness of Noise Barriers Based on Waste Materials in Case Study of Residential Noise Due to Double-Track Railways

The noise pollution in residential areas adjacent to double-track railways can significantly disturb the comfort and well-being of residents. The noise originates from passing trains on these double-track railways. The research problem aims to compare the noise levels in the residential area with the standard noise threshold and evaluate the effectiveness of a noise barriers based on waste material called sustainable noise barrier. The effectiveness of reducing noise levels for communities residing near the dual railway lines. The sustainable noise barrier is constructed using waste cardboard and sawdust as sound absorbers for reducing noise from passing trains. The objective of the research is to analyze the noise levels in the residential areas near the dual railway lines, referring to the noise threshold value specified in Kep.MenLH No.48 of 1996, which is 55 dBA. Additionally, the research aims to assess the effectiveness of the sustainable noise barrier in mitigating noise pollution in these residential areas. The research employs a quantitative experimental method, following the SNI 8427 of 2017 standard for measuring residential noise pollution and determining the sustainable noise barrier's effectiveness using Insertion Loss (IL) and Sound Transmission Loss (STL) measurements in both laboratory-scale and existing conditions (alongside the double-track railways). The research findings indicate that the noise levels in residential areas adjacent to dual railway lines exceed the threshold value, reaching 78.08 dBA. However, the sustainable noise barrier proves to be effective in reducing noise pollution by 27 dB at a frequency of 1,000 Hz in the residential areas neighboring the double-track railways. This research suggests that limiting noise disturbances in residental areas bordering railway lines is one solution with noise barriers.

Torque dependent behavior of the vehicle background noise and its influence on masking thresholds in electric vehicles

The quality and comfort perception in vehicles is strongly influenced by the overall sound quality of the vehicle. Besides aerodynamic and tire noise, tonal powertrain noise plays an important role and can have a strong negative impact on sound quality. An assessment of the perceptibility of tonal noise with respect to masking noise is therefore essential for the vehicle development process. Due to the absence of masking by the internal combustion engine in electric vehicles and the wider frequency range of the powertrain noise, new methods are required for this purpose. In order to evaluate state of the art masking models and a newly developed method regarding the audibility of tonal components, masking thresholds for tonal noise in the vehicle interior are experimentally determined in listening tests. A currently developed extension of the method will also allow roller dynamometer measurements to be used for the evaluation. Currently, the masking signals are mostly generated with torqueless coast down measurements to consider the worst-case scenario. However, a torque dependency has to be taken into consideration. In this paper the torque dependency of the masking noise and the resulting influence on masking threshold is shown for road and roller dynamometer measurements.

Analysis of Noise Level Due to Heavy Vehicle Traffics in the Area of Cement Plant

Industrial areas which is built in remote village attracts peoples to live nearby and spontaneously develop clusters of settlements. As now prior plan for the new settlements, houses are built on roadsides in close distance, ignoring possible dangers of not enough end new The Poros Tonasa 2 road section is one of the primary collector roads that connect the PT Semen Tonasa (PT-ST) -the main cement manufacturing plant in the Eastern Indonesia region - and the Maros-Makassar junction (the main national road in the province). The main noise problem in the environment is caused by heavy vehicles belongs to PT-ST, which occupies 715 hectares of land in Biringere village, Bungoro district, Pangkep regency, about 68 kilometers from province capital, Makassar City. This research should determine the noise level due to heavy vehicles on the Poros Tonasa 2 road of PT-ST area road to Biringkassi port. The method used in this study is by using a Sound Level Meter (SLM). From the research results, it was found that the noise level coming from the sound of heavy vehicles on the road of Poros Tonasa 2 was equal to 85.42 dB(A), the Bungoro Intersection is 81.10 dB(A) and Pahlawan Laut road to Biringkassi port is 82.4 dB(A). The noises in the PT-ST area exceeds the noise threshold stipulated in the Minister of Environment decree No: KEP-48/MENLH/11/1996. The highest noise level at 85.42 dB(A) exceeds the permissible standard of 70 dB(A), which is 18% higher than the standard. This noise level is categorized as high noise which may jeopardize human's health that live in the surrounding environment of the cement plant area.