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All Journal Studi Ilmu Manajemen dan Organisasi Educia Journal
Akhmadi Waridyanto
Universitas Ekuitas Indonesia, Bandung, Indonesia
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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Determinants of Employee Performance in Law Enforcement Organizations Andre Febrian; Dinurrahman Dinurrahman; Akhmadi Waridyanto; Rizqi Muhamad Fazri
Studi Ilmu Manajemen dan Organisasi Vol 7 No 1 (2026): April
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v7i1.6005

Abstract

Purpose: This study aims to examine the determinants of employee performance in the Criminal Investigation Unit of the Bandung City Police Resort, focusing on the roles of work environment, work competency, and workload. Research Methodology: This study employed a quantitative survey design. Data were collected using structured questionnaires administered to employees of the Criminal Investigation Unit. Data were analyzed using multiple linear regression as a predictive analytical model to identify patterns of association among the variables without implying causal relationships. Results: The results indicate that a supportive work environment is positively associated with employee performance. Work competency also showed a significant and relatively stronger association with employee performance than other variables. In contrast, workload was not significantly associated with employee performance when examined alongside the work environment and work competency. Conclusions: The findings suggest that employee performance in law enforcement organizations is more closely associated with qualitative organizational and individual factors, particularly the work environment and work competency, than with workload intensity alone. Limitations: This study is limited to a single police unit and examines only a specific set of variables. Employee performance may also be associated with other factors not included in this study. Contributions: This study contributes to the public sector human resource management literature by providing empirical evidence of the factors associated with employee performance in law enforcement institutions, offering practical insights for organizational development through workplace support and competency enhancement.
Student Learning Autonomy Transformation through the ‘Source-Grounded AI’ Feature of NotebookLM in the Basic Japanese Course I (A Case Study of International Relations Students at Universitas Jenderal Achmad Yani) Electra Septarani; Dasim Budimansyah; Encep Syarief Nurdin; Warlim Warlim; Yuliani Hermaningsih; Akhmadi Waridyanto
Educia Journal Vol. 4 No. 1 (2026): Educia Journal
Publisher : Educia Journal

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Abstract

The increasing use of artificial intelligence in higher education has raised concerns about misinformation, overdependence, and the weakening of learner agency. This qualitative case study explores how NotebookLM, as a source-grounded AI tool, supports learner autonomy in Basic Japanese learning among International Relations students at Universitas Jenderal Achmad Yani. The study was conducted in a Basic Japanese 1 course, where lecturer-curated materials were uploaded to the Learning Management System and used by students as the main knowledge base for NotebookLM-assisted learning. Data were collected through digital engagement observations, student reflective logs, and document analysis of Japanese curriculum vitae assignments. The findings show that NotebookLM supported students in verifying basic Japanese vocabulary, reviewing unfamiliar writing forms, revisiting course materials, and applying source-based expressions to personalized learning outputs. Evidence of learner autonomy appeared in students’ source consultation, independent vocabulary selection, self-monitoring, draft revision, and task-based decision-making. However, the study also found uneven patterns of AI use. Some students used NotebookLM critically as a learning support tool, while others tended to rely on it mainly for information retrieval. The findings suggest that NotebookLM does not automatically guarantee accuracy, eliminate AI hallucinations, or produce autonomous learners. Its pedagogical value depends on curated materials, clear task design, lecturer guidance, students’ digital literacy, and reflective learning practices. The study concludes that source-grounded AI can strengthen scaffolded autonomy when integrated responsibly into foreign language education, especially for beginner learners from non-language-major backgrounds. It offers a model for AI-assisted language learning that balances innovation, verification, and learner responsibility.
Co-Authors Andre Febrian Dasim Budimansyah Dinurrahman Dinurrahman Electra Septarani Encep Syarief Nurdin Rizqi Muhamad Fazri Warlim Warlim Yuliani Hermaningsih