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All Journal Takuana: Jurnal Pendidikan, Sains, dan Humaniora
Anantaputri, Fatikha Akfini
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Profil Kesiapan AI Guru SD di Kabupaten Magelang: Analisis Gaussian Mixture Model dan Efektivitas Pelatihan Anantaputri, Fatikha Akfini; Karunianingsih, Diyah Ayu; Desi, Yolanda Presiana; Utomo, Ardian Setio
Takuana: Jurnal Pendidikan, Sains, dan Humaniora Vol. 4 No. 4 (2026): Takuana (January-March)
Publisher : MAN 4 Kota Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56113/takuana.v4i4.427

Abstract

This research aims to map teacher readiness profiles in integrating Artificial Intelligence (AI) and evaluate the impact of formal training on these profiles. Using the Gaussian Mixture Model (GMM) as a soft clustering approach to identify natural and flexible groupings of teacher characteristics, data were analyzed from a convenience sample of 67 primary school teachers in Magelang Regency. Three distinct profiles were identified: Low Readiness, Moderate Enthusiast, and High-Adaptive Readiness. The results show that the majority of teachers (80.6%) belong to the High-Adaptive profile, characterized by high literacy and positive attitudes. Furthermore, Chi-Square analysis and Cramer’s V (V=0.1120) revealed no significant relationship between training history and readiness profiles (p=0.6567). This suggests that current formal training has a marginal practical effect. Policy recommendations emphasize the need for differentiated training and structural support to enhance AI integration effectively.
Co-Authors Desi, Yolanda Presiana Karunianingsih, Diyah Ayu Utomo, Ardian Setio