Application of Fuzzy Logic to Evaluate Student Satisfaction with Library Services
Keywords:
Fuzzy Logic, Decision Support System, Student Satisfaction, Library Services, DSSAbstract
Measuring student satisfaction with library services is crucial for enhancing the quality and effectiveness of academic support facilities. However, assessments are often subjective and fail to incorporate multiple influencing factors, such as service quality, infrastructure conditions, and staff responsiveness. This study aims to develop a decision support system (DSS) that determines student satisfaction levels using a fuzzy logic approach. The system accepts inputs consisting of service quality, facility conditions, and staff performance, which are then processed through the stages of fuzzification, rule base, inference, and defuzzification. The final output categorizes satisfaction levels into labels such as “Very Satisfied,” “Satisfied,” or “Dissatisfied.” Testing across various data scenarios demonstrated that the system’s results are consistent with actual user feedback. Therefore, the system can assist universities in more accurately evaluating library service performance and implementing improvements based on data-driven insights
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