<![CDATA[Final-year students face various academic demands, such as completing their theses, meeting on-time graduation targets, and preparing to enter the workforce. These conditions can increase the risk of academic burnout, characterized by emotional exhaustion, a cynical attitude toward academic activities, and a decline in personal accomplishment. This study aims to determine the effect of emotion regulation on academic burnout among final-year students in the Guidance and Counseling Study Program at the State Islamic University (UIN) Sjech M. Djamil Djambek Bukittinggi. The study employs a quantitative approach with an associative research design. The population consists of 156 students distributed across five classes. A sample of 112 students was selected using proportionate random sampling and Slovin's formula with a 5% margin of error. Data were collected using Likert-scale instruments: the Emotion Regulation Scale and the Academic Burnout Scale. Both instruments underwent validity and reliability testing prior to data collection. Data analysis involved prerequisite tests, simple linear regression, a t-test, and a coefficient of determination test. The results indicate that 49% of students fall into the moderate category for emotion regulation, with a mean score of 122. Similarly, 38% of students fall into the moderate category for academic burnout, with a mean score of 104. Hypothesis testing reveals that emotion regulation has a significant effect on academic burnout; the calculated t-value ($t_{count}$) of 6.367 exceeds the critical t-value ($t_{table}$) of 1.981, with a significance level of 0.000 (≤ 0.05). The coefficient of determination ($R^2$) of 0.269 indicates that emotion regulation contributes 26.9% to the variation in academic burnout, while the remaining 73.1% is influenced by factors outside the scope of this study. In conclusion, emotion regulation significantly affects academic burnout among final-year students. The direction of the influence should be interpreted in accordance with the regression coefficient sign and the instrument's scoring method. ]]>
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