<![CDATA[Choosing a university major is a crucial decision for high school students, as it impacts their educational trajectory and career planning. In practice, however, the selection process is often influenced by subjective considerations and fails to fully account for the alignment between a student's interests, aptitudes, and academic abilities. This situation is evident at SMAN 3 Pandeglang, where a shortage of Guidance and Counseling (BK) teachers prevents the optimal delivery of major-selection counseling services to all students. This study aims to develop a web-based Decision Support System (DSS) to assist students in obtaining major recommendations based on their interests, aptitudes, and academic abilities, utilizing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The decision-making criteria consist of interests, aptitudes, and academic performance, with respective weights of 40%, 40%, and 20%. The alternatives comprise 15 university majors: Informatics Engineering, Information Systems, Electrical Engineering, Civil Engineering, Medicine, Nursing, Pharmacy, Psychology, Management, Accounting, Law, Communication Science, Architecture, Graphic Design, and Teacher Education. The system was developed using the PHP programming language, a MySQL database, and the Waterfall development model. The TOPSIS process involves normalizing the decision matrix, applying weights, determining positive and negative ideal solutions, calculating distances to the ideal solutions, and computing preference values to rank the alternatives. The results demonstrate that the system can process data from interest, aptitude, and academic tests and generate major recommendations based on the highest preference values. System testing confirms that core functions—including test data input, data processing, TOPSIS calculations, and the presentation of recommendations—operate as intended. This system serves as a valuable tool for students and guidance counselors, facilitating a more structured and data-driven approach to selecting a university major.]]>
