Data-based elementary school quality assurance to improve the effectiveness of education management in Serang city

Futihat Amini, Tito Parta Wibowo, Eva Nurjanah, Ratu Zulaikha, Rusyani Rusyani, Velayati Zuraida

Abstract


Data-based quality assurance is a strategic effort to support effective, transparent, and quality-oriented education governance. Educational data is utilized through the collection, processing, analysis, and evaluation of data as a basis for program planning, decision-making, and the formulation of educational policies at the elementary school level. This study employed a qualitative descriptive method with a field study and literature review approach. Data were obtained through interviews, observations, and documentation at several elementary schools in Serang City that have implemented a data-based quality assurance system. The results indicate that the implementation of a data-based quality assurance system can improve the effectiveness of education management, particularly in aspects of elementary school planning, learning quality monitoring, administrative management, and performance evaluation of teaching and education staff. In addition, the use of valid and integrated data helps elementary schools identify student needs, improve academic achievement, and support the creation of a culture of quality in the educational environment. However, the implementation of this policy still faces several obstacles, such as limited human resource capabilities in data management, less than optimal use of information technology, and minimal training related to data literacy for teaching staff. Therefore, improving human resource competency, strengthening digital infrastructure, and providing local government support are necessary to ensure the optimal and sustainable operation of the data-based quality assurance system. Therefore, data-based elementary school quality assurance can be a crucial tool in improving education management in Serang City.

Keywords


Data-Based, Education Management, Quality Assurance

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DOI: https://doi.org/10.17509/jppd.v13i2.100889

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