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Menampilkan 1–3 dari 3 artikel
User Experience and Interaction Design Evaluation of Immersive Virtual Reality Interfaces for 3D Data Visualization in Complex Information Environments
Bentar Priyopradono
; Jan W. Hatulesila
Digital Multimedia and Visualization Technology
Vol 1
, No 1
(2026)
The increasing volume and complexity of data have made traditional 2D visualization methods insufficient for effectively exploring and understanding high-dimensional datasets. Immersive Virtual Reality (VR) presents a promising solution by providing an interactive 3D environment that enhances spatial understanding, task efficiency, and user satisfaction. This research aims to evaluate the user experience (UX) and interaction design quality of immersive VR interfaces for 3D data visualization in...
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Development of a Digital Twin Based Smart Green Building Energy Management Model Integrating IoT Sensors and Predictive Sustainability Analytics
Asro Asro
; Solihin Solihin
; John Chaidir
; Febri Adi Prasetya
; Tuti Susilawati
; Muhamad Furqon
; Bentar Priyopradono
International Journal of Engineering and Applied Science
Vol 2
, No 2
(2025)
Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also...
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Design and Evaluation of Federated Deep Learning Framework for Privacy Preserving Healthcare Data Analytics Across Heterogeneous IoT Networks
Simon Simarmata
; Panser karo-karo
; Rino Ferdian Surakusumah
; Ahmad Budi Trisnawan
; Suyahman Suyahman
; Bentar Priyopradono
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction thr...
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DOI