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PERSEPSI RISIKO PRODUK DAN NIAT BELI KONSUMEN MELALUI TEKNOLOGI AUGMENTED REALITY (AR) PADA APLIKASI MOBILE SHOPPING Ai Rukmini; Edi Firdaus
Majalah Ilmiah UNIKOM Vol. 24 No. 1 (2026): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v24i1.19281

Abstract

The development of digital technology has encouraged various innovations in product marketing strategies, one of which is through the application of Augmented Reality (AR). This technology is an important part of e-commerce to visualize products in the real world before consumers buy the products they need. This study aims to analyze the mechanism of how Augmented Reality (AR) technology in mobile shopping applications affects product risk perception and consumer purchase intention by integrating the Technology Acceptance Model (TAM) and Trust-based models. The study used a qualitative descriptive approach with in-depth interviews involving informants consisting of students, lecturers, and educational staff at UNIKOM who had active experience using the AR feature. Data were analyzed using thematic analysis. The results showed that the use of AR significantly provides perceived usefulness and hedonic value, which in turn builds consumer trust. This trust mechanism effectively reduces product risk perception, ultimately driving purchase intention. This finding indicates that the application of AR not only functions as a visual diagnostic tool but also as a crucial trust-building instrument in virtual product evaluation.  
A Data Literacy and AI Readiness-Based Maturity Model For Managerial Information Systems: Evidence From A University Executive Information System Edi Firdaus; Hadi Purnomo; Ai Rukmini; Risa Marselina
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/5w114s27

Abstract

The research seeks to come up with a model for MIS maturity based on data literacy and AI readiness in the implementation of an executive information system (EIS) in the university. It applies a quantitative method involving PLS-SEM for analyzing data collected from users of the executive information system in university. From the results, it is evident that data literacy and AI readiness are positively and significantly associated with the maturity of the management information system. Data literacy appears to be more powerful as the ability of users to interpret data is crucial for achieving information system maturity. AI readiness serves as a supportive factor since it facilitates the successful implementation of technology in information systems but cannot enhance system maturity on its own. This work offers practical suggestions for the university regarding how it should improve information system maturity through AI readiness and data literacy.