ABSTRACTThis study presents a Systematic Literature Review (SLR) toexamine the implementation of Simple Additive Weighting (SAW)and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) in Decision Support Systems (DSS) for location-basedrecommendations, particularly in the context of internshipplacement. The review covers 15 selected scientific publicationsretrieved from Google Scholar within the publication period of2019–2025. Article selection followed PRISMA procedures and wasevaluated using three Research Questions (RQ) to assess therelevance of method, publication year, and domain suitability.The findings indicate that TOPSIS is more widely utilized thanSAW, especially in studies related to business and commercial siteselection, followed by housing and institutional placementdomains. These domains exhibit strong contextual relevance tointernship placement decision-making. Furthermore, bothmethods demonstrate flexibility and robustness in multi-criteriaevaluation and ranking processes. This study provides a clearmapping of research trends, methodological dominance, andimplementation areas, serving as a reference for the developmentof future DSS in internship recommendation systems.Keywords: Systematic Literature Review, Decision SupportSystem, SAW, TOPSIS, Internship Recommendation, LocationSelection