The increasing adoption of Learning Factory concepts in higher education has highlighted the need for effective educational information systems that can support operational efficiency, resource utilization, and knowledge integration. However, many Learning Factories still face challenges in coordinating instruc- tional activities, managing training equipment scheduling, and ensuring align- ment between educational objectives and industrial practices. This study aims to design an educational information system that optimizes Learning Factory operations through the integration of workflow management, resource alloca- tion, and instructional monitoring components. The research employs a qual- itative design involving observations of operational processes, semi-structured interviews with instructors and laboratory managers, and document analysis to identify functional requirements and system specifications. The findings reveal that existing management practices are largely manual, leading to inefficiencies such as scheduling conflicts, inconsistent training documentation, and limited real-time feedback mechanisms. The proposed system design features central- ized resource scheduling, digital competency tracking, and process visualization dashboards, which collectively support more structured learning activities and improved synchronization between theoretical instruction and practical engage- ment. The study concludes that developing an educational information system tailored to the Learning Factory environment enhances operational coordination, improves transparency in instructional management, and strengthens the linkage between educational outcomes and industrial competencies, thereby contribut- ing to more effective and industry-aligned learning experiences.
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