Implementasi Metode SAW pada Sistem Penunjang Keputusan Evaluasi Kinerja Dosen Berbasis Web di Politeknik Ketenagakerjaan

Lecturer performance evaluation is essential for maintaining and improving the quality of higher education. At Politeknik Ketenagakerjaan, the evaluation process previously relied on Google Forms for data collection and Microsoft Excel for processing assessment results. This process presented challenges in data integration, processing efficiency, and comprehensive assessment of the Tri Dharma of Higher Education. This study aims to develop a web-based Decision Support System (DSS) for lecturer performance evaluation by integrating student assessments of teaching and learning with management assessments of research and community service. The system was developed using the Waterfall model, which consists of requirements analysis, system design, implementation, and testing. Data were collected through observation, interviews with the Head of the Academic Administration, Student Affairs, and Cooperation Subdivision, and documentation. The Simple Additive Weighting (SAW) method was applied to determine criteria weights, normalize assessment scores, calculate preference values, and rank lecturer performance. Six criteria were used: pedagogical competence, personality, social competence, professional competence, research, and community service, with a total weight of 100%. Initial testing involving three experts produced 28 affirmative responses out of 30, equivalent to 93.33%. User acceptance testing involving four respondents yielded an average score of 4.27 out of 5, equivalent to 85%. These results indicate that the system supports more structured and integrated management of evaluation data, automated score calculation, report generation, and lecturer performance ranking. The developed system can serve as a decision-support tool for institutional management in evaluating lecturer performance and supporting academic decision-making at Politeknik Ketenagakerjaan.