Indonesia's economic growth increases work and transportation accidents. In 2018, Riskesdas reported 10.1% injury prevalence in Papua Province, compared to 9.2% nationally. To reduce trauma-related disability and death, an ideal trauma assessment system needs to assess trauma severity, predict patient prognosis, and improve reaction time and decision-making. The combined trauma scoring system was established to solve the shortcomings of the anatomical and physiological scoring systems This study aims compared TRISS and ASCOT's trauma patient mortality prediction accuracy. The study's design is an observational, retrospective, analytic investigation. Systematic sampling yielded 269 trauma patient reports. Statistical evaluation utilizing the Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) diagnostic tests. The results indicated that the accuracy of TRISS in predicting mortality in trauma patients had an AUC value of 0.90 (strong), p=0.000, 92% sensitivity and 76% specificity, with a sensitivity of 92% and a specificity of 76%. The AUC value for ASCOT's ability to predict mortality in trauma patients is 0.93 (very strong), p=0.000, with 96% sensitivity and 82% specificity. ASCOT predicts mortality in trauma patients more accurately than TRISS.