<![CDATA[Selecting a major track in senior high school represents a pivotal phase deeply intertwined with students' preferences, capabilities, and future academic planning. The instructional process at SMA Negeri 2 Karanganyar currently relies on conventional methods and lacks a direct, continuous learning evaluation mechanism, leading tenth-grade students to encounter difficulty when choosing their academic track for eleventh grade. To address this issue, this study aims to develop a web-based Intelligent Learning System that couples the Laravel framework as the core architecture with Python as a recommendation engine via REST API, automatically generating tailored learning materials and track recommendations (Science/Social Science). The study employs a mixed-methods approach utilizing the Rapid Application Development (RAD) framework. Data were gathered through observation, interviews, literature review, and documentation, while data analysis was executed by combining SWOT analysis with a Content-Based Filtering algorithm powered by TF-IDF and cosine similarity.]]>
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