Optimizing Decision-Making in Higher Education Institutions through AI-Driven Business Intelligence in the Digital Era
| Penulis |
|---|
Dosen:
|
| Tanggal Terbit |
| 05 Agustus 2025 |
| Kategori |
| Seminar Internasional [Lainnya] |
| Penerbit |
| International Journal of Economics, Management and Accounting (IJEMA) |
| Kota / Negara |
| Kota Mataram, NTB / Indonesia |
| Volume |
| Vol. 3 No. 3 (2025) |
| Halaman |
| 221-229 |
| URL |
| https://ij.lafadzpublishing.com/index.php/IJEMA/article/view/328/273 |
| Abstrak |
| Digital transformation in higher education requires institutions to adopt intelligent technologies that support more accurate and data-driven decision-making. This study investigates the integration of Artificial Intelligence (AI) into Business Intelligence (BI) systems within Indonesian universities using the Technology Acceptance Model (TAM) as the theoretical framework. A mixed-methods approach was employed, involving surveys (n = 75) and interviews with academic leaders and information technology (IT) staff. The results show that AI- enhanced BI systems significantly improve decision-making effectiveness, particularly in academic planning and administrative efficiency. Regression analysis revealed that perceived usefulness and perceived ease of use explained 58% of the variance in decision effectiveness, while all variables combined (including management support and digital literacy) accounted for 69%. These findings validate the TAM in the context of AI-based decision systems in education. This study contributes both theoretically and practically by offering evidence-based recommendations for strengthening data-driven culture and institutional readiness for adopting intelligent information systems |
