Rekonstruksi Kebijakan Mutu Pendidikan Berbasis Educational Data Analytics Untuk Meningkatkan Kinerja Sekolah

Anis Hidayati

Authors

Anis Hidayati Universitas Islam Ibrahimy Banyuwangi Author

Keywords:

Educational Data Analytics, Education Quality Policy, Data-Driven Decision Making, School Performance, Quality Improvement

Abstract

The transformation of educational management in the digital era requires schools to develop quality improvement policies based on evidence and data-driven decision-making. This study aims to analyze the existing implementation of education quality policies, examine the utilization of Educational Data Analytics (EDA), and formulate a reconstruction model of data-based quality policies to improve school performance. This research employed a qualitative approach with a case study design conducted in a private junior secondary school context in Banyuwangi. Data sources included school leaders, teachers, quality assurance teams, education documents, school performance reports, and learning-related data. Data were collected through interviews, observation, and document analysis, then analyzed using thematic analysis through data reduction, data display, and conclusion verification. The findings indicate that schools have various educational data sources, yet their utilization remains predominantly administrative and has not been fully optimized for strategic decision-making. The implementation of EDA enables the integration of student learning data, teacher performance data, and school organizational data to support diagnosis, intervention planning, monitoring, and continuous improvement. The study concludes that EDA-based quality policy reconstruction can strengthen data-driven school management and promote sustainable quality improvement.

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