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Analysis of Digital Competence of Teachers of Leading Schools Based on TPACK: A Case Study at SD Negeri 3 Cakul Bambang Eko Basuki; Dian Septi Nur Afifah; Fajar Hendro Utomo; Muhammad Anasrulloh
SAGA: Journal of Technology and Information System Vol. 3 No. 4 (2025): November 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v3i4.566

Abstract

This study investigates the digital competence of Penggerak School teachers at SD Negeri 3 Cakul, Trenggalek Regency, through the Technological Pedagogical Content Knowledge (TPACK) framework, focusing on Technological Knowledge (TK), Pedagogical Knowledge (PK), and Content Knowledge (CK). Using a qualitative case study approach, data were gathered through in-depth interviews, classroom observations, and documentation analysis involving eight teachers. Results indicate that TK scores ranged from 84% to 92%, reflecting good to excellent command of digital devices and applications, despite unstable internet connectivity in this rural setting. PK competence was demonstrated through varied instructional strategies, technology-integrated class management, and holistic assessment approaches. CK competence showed comprehensive mastery of curriculum-aligned subject matter, contextualised with students' daily lives, and enriched through validated digital sources. Collectively, these three foundational domains underpin effective TPACK integration. The findings validate the TPACK framework in the Indonesian primary school context and suggest that digital competence development depends not only on infrastructure but also on collaborative learning culture and instructional leadership.
Building Smart Learners: AI-Deep Learning, Digital Literacy, and Self-Regulation as Predictors of IPAS Outcomes Anang Subiantoro; K Kadeni; Muhammad Anasrulloh; Hikmah Eva Trisnantari
SAGA: Journal of Technology and Information System Vol. 3 No. 3 (2025): August 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v3i3.569

Abstract

The rapid advancement of digital technology has made it imperative to adopt innovative instructional approaches in elementary-level IPAS (Natural and Social Science) education in Indonesia. Baseline data from Cluster 2, Pule District revealed that only 40.19% of Grade VI students met the minimum mastery criterion (KKM) in 2024/2025. This study examines the effects of AI-based IPAS learning through deep learning (X1), digital literacy (X2), and learning independence (X3) on student learning outcomes (Y) using a quantitative correlational non-experimental design. A proportional random sample of 129 students was drawn from 190 Grade VI students across 12 elementary schools. Data were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 4.0. The measurement model confirmed satisfactory convergent validity (all AVE > 0.50), discriminant validity (Fornell–Larcker criterion), and composite reliability (all CR > 0.90). The structural model yielded R² = 0.784, indicating that the three variables jointly explain 78.4% of the variance in learning outcomes (GoF = 0.752, very high). All four hypotheses were accepted: AI-Deep Learning (β = 0.324, t = 4.872, p < 0.05), Digital Literacy (β = 0.287, t = 4.215, p < 0.05), Learning Independence (β = 0.412, t = 6.134, p < 0.05), and their simultaneous effect (F = 124.567, p < 0.05). Learning independence emerged as the dominant predictor (f² = 0.892). These findings advocate for an integrated digital-autonomous learning ecosystem as a systemic response to persistent IPAS underachievement in Indonesian elementary schools.