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All Journal Journal of Information System, Technology and Engineering Jurnal Ar Ro'is Mandalika (Armada)
Saleh, Sahlan M.
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Religion Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics

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Analysis of the Influence of Effort Expectancy, Perceived Usefulness, and Digital Literacy on Intention to Use Retail Shopping Applications Yanti, Jumianis; Sari, Titis Nistia; Lesmini, Lis; Robo, Salahudin; Saleh, Sahlan M.; Nugraha, Jefri Putri
Journal of Information System, Technology and Engineering Vol. 3 No. 2 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i2.153

Abstract

The digital transformation in the retail sector has led to the emergence of various online shopping applications that facilitate consumer transactions. However, the successful adoption of these applications is highly influenced by user perceptions. This study aims to analyze the impact of effort expectancy, perceived usefulness, and digital literacy on the intention to use retail shopping applications. Using a quantitative approach with a survey method, data were collected from 200 respondents who are users of shopping applications in urban areas. The analysis technique used was multiple linear regression. The results indicate that all three independent variables significantly affect the intention to use. Effort expectancy has a positive effect, meaning that the easier the application is to use, the higher the user's intention to use it. Perceived usefulness also shows a strong impact, indicating that perceptions of the application's benefits play a crucial role in shaping the intention to use. Additionally, digital literacy proves to be an important supporting factor that enables users to understand and maximize the application's features optimally. This study provides contributions to application developers and retail industry players in formulating digital marketing strategies and enhancing user experience.
Exploring Multimodal AI Frameworks for Real‑Time Decision Making in Edge Devices Darmin, Darmin; Taufik, Imam; Miswadi, Miswadi; Kustiyono, Kustiyono; Saleh, Sahlan M.
Jurnal Ar Ro'is Mandalika (Armada) Vol. 6 No. 2 (2026): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v6i2.6057

Abstract

The rapid advancement of Artificial Intelligence (AI) and edge computing has driven the demand for intelligent systems capable of real-time decision making under limited computational resources. In particular, multimodal AI, which integrates heterogeneous data sources such as visual, audio, and sensor signals, plays a crucial role in enhancing contextual awareness and decision accuracy at the edge. This study aims to explore and conceptualize a multimodal AI framework that supports real-time decision making on edge devices while addressing challenges related to resource constraints, data privacy, and decision transparency. The research adopts a qualitative literature review approach, employing a Systematic Literature Review (SLR) method to analyze relevant studies published between 2018 and 2025. Data were collected from reputable academic databases and analyzed using thematic content analysis to identify key architectural components, fusion strategies, optimization techniques, and privacy-preserving mechanisms. The findings indicate that hybrid multimodal fusion, combined with model compression, dynamic inference, and federated learning, significantly improves efficiency, privacy protection, and explainability in edge-based AI systems. This study contributes a comprehensive conceptual framework that can guide future development and deployment of adaptive, efficient, and trustworthy multimodal AI solutions for real-time edge intelligence applications.
Co-Authors Darmin Darmin, Darmin Imam Taufik Jefri Putri Nugraha Kustiyono Kustiyono Lis Lesmini Miswadi Miswadi Robo, Salahudin Sari, Titis Nistia Yanti, Jumianis