Indonesia TINJAUAN SEMANTIK TENTANG PENERAPAN ANALISIS SEMANTIK DALAM SISTEM PENDUKUNG KEPUTUSAN

Dedi WijayaNon-Scopus4 Desember 2025Afiliasi: ID

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ABSTRACTThe development of decision support systems is increasinglychallenged by the growing volume and complexity of scientificliterature, creating the need for more advanced approaches tomeaning-based analysis. This study aims to evaluate theapplication of semantic-based literature review in thedevelopment of decision support systems and to compare itsperformance with traditional literature review methods. Themethodology includes the identification and selection of studiespublished between 2020 and 2025, text processing throughmeaning-oriented analysis, and the construction of knowledgestructures to identify patterns, conceptual relationships, andresearch gaps. The novelty of this study lies in the integration ofautomatic meaning extraction and knowledge mapping, enablingdeeper contextual understanding and more accurateidentification of conceptual relations. The results demonstratethat semantic-based analysis improves effectiveness in terms ofaccuracy, completeness, and processing efficiency when comparedwith manual review. The study also identifies several challenges,including model interpretability, data integration, andcomputational requirements. This research concludes thatsemantic-based literature review enhances the quality ofliterature analysis and supports the development of moreadaptive decision support systems. The findings provide afoundation for implementing semantic-based analyticalarchitectures across various domains, including publicadministration and healthcare.Keywords: Decision Support Systems, Knowledge Mapping,Meaning Analysis, Model Interpretability, SemanticRepresentation.

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