The Role of Big Data in Optimizing the Education System in Indonesia: A Systematic Literature Review

Funco Tanipu, Ni Putu Rai Yuliartini, Lalu Sibuan Amir

Abstract


Abstract: This research, utilizing the Systematic Literature Review methodology, investigates the role of Big Data in optimizing the education system in Indonesia. By examining sources indexed in Scopus, DOAJ, and Google Scholar within the last decade (2013-2024), the study reveals that the implementation of Big Data has positively contributed to enhancing inclusivity and accessibility in the Indonesian education system. The findings emphasize specific measures, such as the introduction of Data Science courses, national education planning programs, and studies on predicting student performance, as effective strategies in improving the quality of learning and enhancing educational management efficiency. Although still in its early stages, the utilization of Big Data in Indonesian education exhibits significant potential. The study underscores the necessity for additional efforts in human resource development, policy formulation, and the provision of adequate infrastructure to maximize the benefits of Big Data implementation. In summary, this research offers a comprehensive overview of the positive impacts of implementing Big Data in the Indonesian education system. Practical implications include the need for clear and well-enforced regulations safeguarding data, effective curriculum integration, and leveraging Big Data in the banking sector to enhance data utilization efficiency, supporting sustainable educational development. Future research may explore in-depth analyses of the impacts on inclusivity and accessibility in education, alongside strategies for curriculum adaptation optimized through Big Data utilization. The study aims to provide profound insights to aid the ongoing development of education in Indonesia.

 


Keywords


Big Data, Education System, Indonesia.

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