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International Journal of Economy, Education and Entrepreneurship (IJE3)International Journal of Economy, Education and Entrepreneurship (IJE3)This study aims to analyze the optimization of educational facilities and infrastructure maintenance management and its contribution to improving learning quality in secondary schools. Qualitative research with a multi-site case study design was conducted in eight junior and senior high schools in Cianjur City, West Java, involving 85 participants consisting of school principals, vice principals for facilities and infrastructure, teachers, school committee members, educational staff, and students. Data were collected through in-depth interviews, participatory observation, and documentation study over four months, then analyzed using Miles, Huberman, and Saldaña thematic approach with NVivo 12. The findings identified four key dimensions of optimization: (1) data-based maintenance planning with priority scales; (2) structured implementation of preventive, corrective, and predictive maintenance; (3) budget allocation of minimum 15-20% of operational budget; (4) continuous monitoring and evaluation. Schools with optimal maintenance systems demonstrated learning quality improvement through smooth learning process (93%), increased student motivation (87%), effective learning media use (89%), minimized disruptions (91%), and higher learning outcomes (average 8.5 points higher). Optimization success was influenced by principal leadership, human resource competence, integrated management systems, stakeholder participation, and organizational culture. The study concludes that optimization of facilities and infrastructure maintenance management contributes significantly to learning quality improvement, recommending development of digital inventory systems, increased budget allocation, implementation of integrated systems, and establishment of minimum maintenance standards in educational policies.
The study concludes that optimizing the maintenance management of educational facilities and infrastructure significantly improves learning quality.This optimization is achieved through data-driven planning, integrated maintenance implementation, adequate budget allocation (15-20% of operational budget), and continuous monitoring and evaluation.Success is influenced by principal leadership, competent human resources, integrated management systems, stakeholder participation, and a supportive organizational culture.
Based on the research findings, future studies should explore the development of a standardized digital inventory system for educational facilities to enhance data-driven maintenance planning. Furthermore, research could investigate the impact of incorporating artificial intelligence and machine learning into predictive maintenance strategies to optimize resource allocation and minimize disruptions. Finally, a comparative study examining the effectiveness of different maintenance models across diverse educational contexts, considering factors such as school size, location, and funding levels, would provide valuable insights for policymakers and practitioners seeking to improve the quality and sustainability of educational infrastructure. These research directions build upon the current studys findings and address gaps in the existing literature, offering potential for significant advancements in the field of educational facility management and its impact on student learning outcomes.
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