Improving Performance Evaluation Efficiency at Darut Taqwa Vocational School through AI and Manufacturing Engineering
Keywords:
AI-based learning media, human resource performance evaluation, industrial engineering methodology, teacher satisfactionAbstract
This study aims to optimize human resource (HR) performance evaluation at SMK Darut Taqwa through the integration of AI-based learning media and industrial engineering methodology. The study involved 400 students and 70 teachers, focusing on the development of an AI-based performance evaluation system integrated with adaptive learning media tailored to individual needs. Industrial engineering methodology was used to analyze the efficiency of the evaluation process and to design a system that could identify and enhance sustainable HR development. The results of the study showed a 17% increase in evaluation objectivity, a 40% reduction in evaluation time, and a 20% increase in teacher satisfaction. Additionally, the system optimized real-time feedback, which contributed to the development of teacher competencies. This research resulted in a replicable HR performance evaluation model, which can be adopted by other educational institutions to improve teaching quality and performance. The authors are fully committed to adhering to the ethics of scientific publication, including the originality of the work, honesty in data collection and interpretation, and recognizing the contributions of others, ensuring that this research provides a valid and trustworthy contribution to the advancement of educational science.
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