## 3 Results  
The descriptive statistics of the noise level on the total response time are presented in Figure 4. The average total response time of continuous noise for males exceeded that of females in groups exposed to noise levels of 55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB. Likewise, for intermittent noise, the average total response time for males surpassed that of females in groups affected by noise levels higher than 55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB. This implies that on response time scores, males tend to experience greater noise impact than females in situations of continuous and intermittent noise exposure. The descriptive statistics of noise level on total response time are presented in Figure 5. The average accuracy score in the continuous noise category for the female group was lower than the average score for males in the group exposed to higher noise levels at 55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB. For intermittent noise, males' average accuracy scores fell below the average for females in the group who experienced higher noise levels at 55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB. Accuracy scores with continuous noise exposure show that males are more likely to be affected by exposure than females. For intermittent noise exposure, females are more likely to experience high noise exposure than males. Figure 3: Experimental Research Design. The Kruskal-Wallis ANOVA results on response time and accuracy with continuous and intermittent types of noise showed that the effect of the content and noise levels was statistically significant across the response time and accuracy (Chi-square = 11.07, df = 5, \(p\) < 0.05), indicating a significant difference between SCWT test results in the noise-affected group with levels of 55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB. The Kruskal-Wallis test obtained significant results and can be continued to be utilized in post hoc tests. A post hoc Mann-Whitney test was carried out to determine if there was a significant difference between the two groups of noise levels. From the post hoc test, it was found that in the types of continuous and intermittent noise, the total response time and accuracy were produced, which showed that all noise levels had significant differences with \(p\) values. The cognitive aspect of attention was measured based on the beta signals of channels AF3, AF4, F3, and F4 [35]. Beta signals at frequencies of 12.5-30 Hz recorded from the frontal region are considered valuable biomarkers of attentional control, which have a negative relationship with attentional control [66]. The log power spectrums of attention within noise that is continuous and noise that is intermittent are described in Figure 6a,b. Figure 4: Relationship between total response time on continuous and intermittent noise levels. Figure 5: Relationship between accuracy on continuous and intermittent noise levels. Figure 6a,b shows the log power spectrum value difference at each noise level. The nonoutlier maximum and median values show the best attention among noise levels. Figure 6a shows log power values in the range of 34 \(\upmu\)V\({}^{2}\) to 39.5 \(\upmu\)V\({}^{2}\), while Figure 6b shows log power values in the range of 31.5 \(\upmu\)V\({}^{2}\) to 38 \(\upmu\)V\({}^{2}\). The cognitive impact of stress is assessed using the alpha signals of channels F7 and F8 [35]. A feature that is commonly employed to quantify stress levels during emotional arousal is the EEG asymmetry index of alpha activity at frequency (8-12.5 Hz); in most stress-related studies, this index appears to decrease under stressful situations [67]. The continuous and intermittent power spectrum of stress caused by noise logs are described in Figure 7a,b. Figure 7a,b shows the log power spectrum value difference at each noise level. The nonoutlier minimum and median values show the highest influence on stress among noise levels.