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All Journal International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Maulana Yusuf
University of Raharja
Computer Science & IT Control & Systems Engineering Library & Information Science Other

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Enhancing User Login Efficiency via Single Sign-On Integration in Internal Quality Assurance System (eSPMI) Maulana Yusuf; Muhamad Yusup; Reza Dani Pramudya; Ahmad Yadi Fauzi; Agung Rizky
International Transactions on Artificial Intelligence Vol. 2 No. 2 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i2.556

Abstract

In the continually evolving digital era, authentication system efficiency has become crucial for accelerating processes and enhancing user security. This research aims to analyze the integration of Single Sign-On (SSO) features in authentication systems and its impact on user login efficiency, incorporating Artificial Intelligence (AI) concepts. Using a comparative analysis between traditional authentication systems and those integrated with SSO, sample data from three major technology companies show that SSO integration reduces average login time by 60% and increases user satisfaction by 70%. Additionally, integrating AI in SSO systems enhances security by providing predictive analytics for potential security threats and optimizing the overall user experience. These findings suggest that broader adoption of AI-enhanced SSO can significantly strengthen security and efficiency in corporate authentication systems, making it a valuable strategy for organizations aiming to improve user satisfaction and data protection.
Analysis of User Perceptions on Interactive Learning Platforms Based on Artificial Intelligence Eirene Sana; Anandha Fitriani; Purwanti; Djoko Soetarno; Maulana Yusuf
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.12

Abstract

Education is one field that is increasingly adopting artificial intelligence (AI) technology in an effort to improve the learning experience. AI-based interactive learning platforms have become a significant trend in modern education. This research aims to analyze user perceptions of AI-based interactive learning platforms and identify factors that influence their acceptance of this technology. We conducted an analysis using the SmartPLS method to explore the relationship between variables that influence user perceptions of AI in education. Research data was collected through surveys given to educational participants using AI-based learning platforms. The results of this research include findings about the extent to which factors such as interaction quality, usability, and social factors influence user perceptions of AI-based learning platforms. The results of data analysis will provide valuable insight into how the educational community accepts and adopts AI technology in the learning process. It is hoped that this research will make a significant contribution to the understanding of the acceptance of AI technology in educational contexts, as well as provide guidance for the development of more effective interactive learning platforms. The findings of this research can also support decision making in implementing AI in educational settings.
Co-Authors Agung Rizky Ahmad Yadi Fauzi Anandha Fitriani Djoko Soetarno Eirene Sana Muhamad Yusup Purwanti Reza Dani Pramudya