Nakeisha Ignatea MalvaChessania Female Asy Syalfin2025-11-192025-11-192025Nakeisha Ignatea Malva, Chessania Female Asy Syalfin (2025). Analysis Of Delta Binaural Beats And White Noise As Digital Therapy To Improve Sleep Quality In Sman 1 Bawang Students. Insan Junior Researcher International Conference & Innovation (IJURECON) 2025, 392–399. https://raudahusim.sharepoint.com/:b:/s/USIM-eDocs/EfVkn9zP4m9HniZRvI2XhQMBlU12RcfdxRZHlzdrKyiznQ?e=syZY7bhttps://raudahusim.sharepoint.com/:b:/s/USIM-eDocs/EfVkn9zP4m9HniZRvI2XhQMBlU12RcfdxRZHlzdrKyiznQ?e=syZY7bhttps://oarep.usim.edu.my/handle/123456789/27997Insan Junior Researcher International Conference & Innovation (iJURECON) 2025 : “STREAM for a Better Future/ editor : Ahmad Fuad Mohamad Amin, Nurul Shazwani Binti Mohamed, Rossidi Bin Usop, Abdel Rahman Ibrahim Suleiman Islieh Organised by Kolej PERMATA Insan 10-11 October 2025The high prevalence of sleep disturbances among adolescents can negatively affect their concentration, psychological well-being, and academic performance, thereby requiring effective interventions to improve sleep quality. One commonly applied approach involves the use of auditory stimuli. This study aimed to analyze the effectiveness of digital sound-based therapy using delta binaural beats combined with white noise in enhancing adolescents’ sleep quality, measured with the Pittsburgh Sleep Quality Index (PSQI). A multigroup pretest–posttest experimental design was employed with three intervention groups: silence (S), white noise (WN), and delta binaural beats combined white noise (DWN). The interventions were conducted among 60 students of SMA Negeri 1 Bawang for 30 minutes before bedtime over seven consecutive days. Results showed an overall improvement in sleep quality, indicated by decreased PSQI scores across all groups. The S group demonstrated an average reduction of 2.40 points (24.87%), the WN group 2.00 points (20.94%), and the DWN group the highest at 2.60 points (26.26%). Statistical analysis also confirmed a significant group difference in PSQI score reduction (p = 0.039), with the DWN group ranked as the most effective. Moreover, the DWN group consistently improved both the proportion of respondents with “good” sleep quality and their average sleep duration. Although sound-based interventions show promising potential for improving sleep, further studies with larger samples, longer intervention periods, and additional EEG-based indicators are recommended.en-USBinaural beatswhite noisesleep qualitytext::conference output::conference proceedings::conference paper392399