Formulating a Group Decision Support Systems (GDSS) Model for Accreditation: An Early Childhood Institution Perspective

This research introduces an innovative approach to accrediting early childhood education institutions in South Kalimantan, Indonesia, aiming to address the labour-intensive nature of traditional accreditation processes. By integrating PCA-AHP-TOPSIS-VIKOR algorithms, the study proposes a hybrid model that streamlines accreditation, overcoming existing limitations and ensuring a more precise assessment of institution quality. Emphasizing the necessity of a comprehensive approach to accreditation, the study underscores the need for improved methodologies. Through the amalgamation of multiple algorithms, the hybrid model enhances the evaluation process, offering a robust means of assessing early childhood education institutions. Two models are presented: one without PCA and another incorporating PCA. The PCA method aids in summarizing assessment criteria, thereby enhancing the efficiency of the evaluation process.