AEMILIANUS YOLLAN PERMANA,RIANTO ,NUR WENING
DOI: https://doi.org/Groupthink in group decision-making can hinder objectivity and result in suboptimal decisions. This study proposes the integration of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in a Decision Support System (DSS) to reduce groupthink bias. AHP is used to systematically determine the weight of criteria, while TOPSIS allows ranking alternatives based on proximity to the ideal solution. This combination of methods ensures decisions are more transparent, data-driven, and not influenced by group pressure. The success of implementing an AHP-TOPSIS-based DSS is influenced by data quality, stakeholder diversity, and data-driven management and organizational culture support. This study shows that an AHP-TOPSIS-based DSS can improve accuracy, accountability, and decision-making effectiveness. Thus, this approach provides more objective and structured solutions in complex and dynamic organizational environments. A total of 40 articles reviewed in this literature review study demonstrate the use of DSS in various decision-making processes across different fields. The AHP, TOPSIS methods, or their combination can produce objective, accurate decisions that integrate multiple dimensions.
