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All Journal JIHAD : Jurnal Ilmu Hukum dan Administrasi Journal of Educational Studies
Nurfidah
Akademi Bisnis Lombok
Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Integrating Artificial Intelligence and Educational Evaluation for Improving Teacher Professional Competence Syahrir; A. Fandir; Nurfidah
Journal of Educational Studies Vol. 4 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/jes.v4i1.2413

Abstract

The integration of digital technology in education has significantly transformed evaluation practices and teacher professional development. However, many educational institutions still rely on conventional evaluation systems that emphasize administrative reporting rather than providing meaningful feedback for improving instructional quality. This study examines the integration of artificial intelligence (AI) in educational evaluation to support reflective teaching and data-driven professional development. A mixed-method sequential explanatory design was employed, involving 120 teachers and school administrators from junior high schools in West Nusa Tenggara, Indonesia. Quantitative data were collected through structured questionnaires and analyzed using descriptive statistics, while qualitative data from interviews and document analysis were examined using thematic analysis. The findings reveal a high level of teacher acceptance of AI-based evaluation systems, with an overall mean score of 4.28 (very positive category). The highest-rated aspect was continuous feedback provision (M = 4.36), followed by comprehensive evaluation data (M = 4.32). Qualitative findings indicate that AI-based evaluation enhances teachers’ understanding of classroom interaction patterns, student engagement, and instructional effectiveness. These findings demonstrate that AI-assisted evaluation systems contribute to more effective monitoring of teaching performance and strengthen evidence-based instructional decision-making. This study provides empirical evidence for the development of AI-integrated evaluation frameworks that support sustainable improvement in teaching quality and teacher professional competence.
Digital Transformation of Academic Administration Servicesto Improve Student Satisfaction Evi Rosdiyanti; A. Fandir; Noni Antika Khaerunnisah; Nurfidah
JIHAD : Jurnal Ilmu Hukum dan Administrasi Vol. 8 No. 3 (2026): JIHAD : Jurnal Ilmu Hukum dan Administrasi
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/65tcqa79

Abstract

This study analyzes the influence of digital transformation in academic administration services on student satisfaction at Akademi Bisnis Lombok (AKBIL). Digital transformation encompasses the Academic Information System (SIAKAD), online student admission, e-office, and electronic signatures, implemented since 2022. Using a quantitative explanatory survey with 212 respondents (N=450, proportionate stratified random sampling) and modified SERVQUAL dimensions—digital reliability, system responsiveness, information assurance, technology-based empathy, and digital tangibility—the multiple linear regression results show all five dimensions positively and significantly affect student satisfaction. Digital reliability (β=0.312; p<0.001) proved the most dominant predictor, followed by system responsiveness (β=0.241), information assurance (β=0.198), technology-based empathy (β=0.176), and digital tangibility (β=0.143). Collectively, the model explains 64.7% of student satisfaction variance (R²=0.647; F=71.34; p<0.001). Findings underscore the urgency of strengthening digital HR competency and IT infrastructure as key strategies for improving academic service quality at private vocational institutions. 
Co-Authors A. Fandir Evi Rosdiyanti Noni Antika Khaerunnisah Syahrir Syahrir