Big Data Utilization for Evaluating National Education Policy (A Multidisciplinary Perspective from Data Science and Educational Research)

Muhamad Akip

doi:10.55927/mpst.v1i2.15

Authors

Muhamad Akip STAI Bumi Silampari Lubuk Linggau

DOI:

https://doi.org/10.55927/mpst.v1i2.15

Keywords:

Big data, Education, Policy

Abstract

In the digital transformation era, big data has become a crucial tool for evaluating national education policies. This study explores how big data enhances the precision, inclusivity, and responsiveness of policy evaluation processes in the education sector, particularly in Indonesia. Drawing from multidisciplinary perspectives including data science, educational policy, sociology, and public administration-this research highlights the strategic role of big data in uncovering regional disparities, supporting real-time governance, and promoting evidence-based decision-making. Through a qualitative literature review approach, the study synthesizes key themes such as data-driven policy-making, educational equity, ethical data governance, and the need for a national big data ecosystem. Findings reveal that while big data offers powerful opportunities for educational reform, its effective utilization depends on cultural shifts within institutions, robust digital infrastructure, and transparent governance frameworks. The article concludes by emphasizing the importance of integrating big data analytics in national strategies to improve educational outcomes and advance Indonesia’s long-term development goals, especially in maritime and remote regions

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