<![CDATA[The rapid development of information technology has increased the need for laptops as academic support devices for Information Systems students. However, the wide variety of laptop specifications and prices often makes the selection process difficult and subjective. This study aims to develop a Decision Support System for laptop recommendations using a hybrid Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) method. AHP was applied to determine the priority weights of selection criteria, while SAW was used to rank laptop alternatives based on preference values. The criteria included price, RAM, processor, GPU, storage, and battery. Data were collected from official laptop websites, online marketplaces, and PassMark benchmark data. The study evaluated 12 laptop alternatives within a price range of Rp8,000,000–Rp12,000,000. The results indicate that processor and RAM are the most influential criteria in laptop selection. HP Pavilion Aero 13 achieved the highest preference value of 0.912, making it the best alternative. The proposed AHP-SAW approach effectively provides objective and systematic laptop recommendations that match the academic computing needs of Information Systems students.]]>
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