<![CDATA[Manual triage processes in hospital Emergency Departments (ED) are prone to misclassification, treatment delays, and inter-rater inconsistency among medical staff. This study aims to design and develop a web-based ED patient triage system integrating the C4.5 Decision Tree algorithm to classify patient priority into four categories — Red, Yellow, Green, and Black — equipped with real-time notifications to the attending physician. The system was developed using the Extreme Programming (XP) method and built with the Laravel 10 framework, MySQL, and Bootstrap 5, along with Ajax polling integration for real-time notifications. Testing was conducted through Black-Box Testing for functional validation and a User Acceptance Test (UAT) using the System Usability Scale (SUS) instrument involving 15 ED medical personnel as respondents. Black-Box Testing results showed an overall functional success rate of 96.8%. UAT results yielded an average SUS score of 83.5, classified as Excellent (Grade A). The system has made a tangible contribution to accelerating the triage process, reducing manual classification inconsistencies, and improving critical patient response in the ED.]]>
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