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

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Information Systems and Technologies (WorldCIST 2023)

Abstract

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.

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Correspondence to Syed Nasirin .

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Kadir, A., Nasirin, S., Seman, E.A.A., Amboala, T., Lada, S., Kinjawan, A.A.P. (2024). Formulating a Group Decision Support Systems (GDSS) Model for Accreditation: An Early Childhood Institution Perspective. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_31

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