R
Roy Setiawan
Researcher at Petra Christian University
Publications - 22
Citations - 141
Roy Setiawan is an academic researcher from Petra Christian University. The author has contributed to research in topics: Computer science & Organizational performance. The author has an hindex of 3, co-authored 18 publications receiving 19 citations.
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Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial.
TL;DR: The results suggest that AI-powered writing tools could be an efficient tool to promote learning behavior and attitudinal technology acceptance through formative feedback and assessment for non-native postgraduate students in English academic writing.
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Migrating from traditional grid to smart grid in smart cities promoted in developing country
Omnia Saidani Neffati,Sudhakar Sengan,Kalavathi Devi Thangavelu,Sharma Dilip Kumar,Roy Setiawan,Mohanraj Elangovan,Devi Mani,Priya Velayutham +7 more
TL;DR: This article reviews the conceptual model, goals, architecture, potential benefits, and power grid issues with a complete and accurate understanding of the different defenders and people involved in the worldwide region scenario.
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Closed-loop supply chain network design with sustainability and resiliency criteria.
Muhammad Salman Shabbir,Arshad Mahmood,Roy Setiawan,Chairun Nasirin,Rusdiyanto Rusdiyanto,Gazali Gazali,Mohd Anuar Arshad,Shahid Khan,Fatima Batool +8 more
TL;DR: In this article, a two-stage stochastic programming approach is used to model the closed-loop supply chain under uncertainty with the use of resiliency, sustainability, and reliability dimensions.
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An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality
Omnia Saidani Neffati,Roy Setiawan,P. Jayanthi,S. Vanithamani,Dilip Kumar Sharma,R. Regin,Devi Mani,Sudhakar Sengan +7 more
TL;DR: The proposed MeL app planned to create the learning practice easier, focusing on e-learner's requirements by encouraging e-learners and instructor relationships to maintain communicative development-based e-learning for Technical Higher Education (THE).
Journal ArticleDOI
A Secure Recommendation System for Providing Context-Aware Physical Activity Classification for Users
Sudhakar Sengan,Subramaniyaswamy,Rutvij H. Jhaveri,Vijayakumar Varadarajan,Roy Setiawan,Logesh Ravi +5 more
TL;DR: In this paper, the authors proposed a privacy-preserving recommendation system (PRIPRO) that employs HE for securing private user data by collecting accelerometer data and synchronizing with its calendar.