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S-Know Microlearning: Integral Part of Knowledge Management for Employee Training in the Indonesian Banking Industry Fauzi, Indah Resti; Siregar, Herbert; Hambali, Yudi Ahmad; Nusratullo, Samialloi; Rasim, Rasim
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 2 (2025): Agustus 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i2.2025.118-127

Abstract

The lack of integrated and easily accessible knowledge-sharing platforms within organizations, especially in the banking industry, has led to challenges in preserving institutional expertise and supporting effective employee training. S-Know (Smart Knowledge) is a web-based knowledge management system developed to address this issue by facilitating the storage, management, and distribution of organizational information. It offers features such as learning paths, learning modules, quizzes, and discussion forums to promote structured collaboration and self-directed learning among employees. The content is designed using a microlearning approach to ensure better comprehension and relevance to new staff training. The development of S-Know followed the Knowledge Management System Life Cycle (KMSLC), encompassing stages of knowledge capture, system design, implementation, and evaluation, each tailored to align with real organizational needs. Technically, S-Know leverages the Laravel framework for scalability and flexibility, with black box testing used to evaluate system functionality against user requirements. Test results and user interviews confirmed that all core features performed effectively and supported the intended goals. Overall, S-Know shows strong potential as a strategic and adaptive platform for knowledge management that can enhance human resource development and support sustainable organizational knowledge. To further support its growth and long-term value, future development may focus on encouraging greater user participation in knowledge sharing and improving accessibility, especially through integration with mobile platforms.
Mediating Role of Artificial Intelligence in Linking Self-Efficacy and Learner Performance Siregar, Herbert; Munir, Munir; Sobandi, Ade; Riza, Lala Septem; Nusratullo, Samialloi
JURNAL PENDIDIKAN DAN PENGEMBANGAN MANUSIA Vol 10 No 2 (2025): Education and Human Development Journal
Publisher : Universitas Nahdatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ehdj.v10i2.7936

Abstract

The integration of Artificial Intelligence (AI) into education continues to expand, yet its effectiveness in improving learning outcomes requires further examination, particularly with regard to the role of self-efficacy in digital learning in Indonesia. This study extends Bandura’s self-efficacy construct by conceptualizing AI as a latent mediating variable functioning as an adaptive educational mechanism through feedback, personalized resources, and dynamic scaffolding. A quantitative approach was employed via an online survey conducted between February and May 2024, yielding 279 valid responses from secondary and higher education students across several Indonesian provinces. Data were analyzed using SEM-PLS with SmartPLS 3.0. The results show that self-efficacy moderately predicts AI adoption (β = 0.373), AI integration strongly predicts learning behavior and performance (β = 0.649), while the direct pathway from self-efficacy is relatively weak (β = 0.144), with the indirect pathway mediated by AI substantially stronger (mediation effect = 0.242). Theoretically, these findings enrich Bandura’s framework of self-efficacy in the context of digital learning by highlighting AI as a central mediating construct, while practically they provide implications for adaptive learning strategies, digital education policy, and technology-driven pedagogical innovation.