SEMANTIC LITERATURE REVIEW UNTUK MENGIDENTIFIKASI TREN DAN PERBANDINGAN METODE SISTEM PENGAMBILAN KEPUTUSAN DALAM PENELITIAN INFORMATIKA

Abstrak

ABSTRACTThis research aims to examine the evolution and effectiveness ofvarious Decision Support System (DSS) methods using a SemanticLiterature Review (SLR) approach. DSS is a computer-basedsystem widely applied to assist complex decision-makingprocesses in numerous domains. Through the SLR protocol, thisstudy identifies, reviews, and synthesizes scientific articlespublished between 2019 and 2024 from several academicdatabases. The findings indicate that the most frequentlyapplied DSS methods include AHP , TOPSIS, SAW, MOORA, WeightedProduct, VIKOR, and Fuzzy Logic–based techniques. Each methodoffers its own set of advantages and limitations, witheffectiveness levels that vary depending on application contextand data characteristics. The study also highlights severalresearch gaps, such as the limited adoption of hybridapproaches, the lack of quantitative performance assessments,and the minimal integration of DSS with modern technologieslike machine learning and big data. Overall, this SLR providesmeaningful insights into DSS methodologies and serves as avaluable reference for researchers and practitioners in selectingand developing more effective decision-making strategies.Keywords: Decision Support System, SLR, AHP , TOPSIS, DSSMethods

Identifier

• OpenAlex: https://openalex.org/W7116075456
• DOI: https://doi.org/10.5281/zenodo.17971700