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All Journal Ekuitas: Jurnal Pendidikan Ekonomi Journal of Animation & Games Studies Computatio : Journal of Computer Science and Information Systems INTECOMS: Journal of Information Technology and Computer Science Indonesian Journal of Computing and Modeling JATI (Jurnal Mahasiswa Teknik Informatika) Infotech: Journal of Technology Information Jurnal Algoritma, Logika dan Komputasi Jurnal Sisfotek Global Ekuitas Jurnal Pnedidikan Ekonomi
Ginting, Jusia Amanda
Universitas Bunda Mulia
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences

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PENGEMBANGAN APLIKASI PEMBELAJARAN IMERSIF BERBASIS VIRTUAL REALITY MENGGUNAKAN METODE MDLC DAN EVALUASI EUQ Ginting, Jusia Amanda; Sembiring, Irwan; Suryantara, I Gusti Ngurah; Mulyana, Teady Matius Surya; Alamsyah, Ferry
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.426

Abstract

The advancement of technology in the field of Virtual Reality (VR) offers new opportunities for developing more interactive and immersive learning media. One of the main challenges in online learning is the low level of student engagement in the learning process, as well as the tendency for instructional methods to remain passive. Recognizing this gap and the need for a new technological approach that can encourage active participation, this study aims to develop a VR-based learning application called “FirstMetaClass”. This application is designed to simulate a virtual classroom environment to enhance students’ learning experiences. The application development process follows the Multimedia Development Life Cycle (MDLC) method. The quality of the user experience was evaluated using the Extended User Experience Questionnaire (EUQ). The respondents consisted of 42 university students who participated in the application trial and completed the evaluation questionnaire. The results of the study show that all EUQ dimensions achieved an average score above 4.0 on a 1–5 scale. These findings confirm that the “FirstMetaClass” application successfully provides a positive, engaging, and user-friendly learning experience, while creating a classroom atmosphere that closely resembles the real world and fosters a sense of presence for users.
Student Centric Model for Learning Analytics in Smart Campus Ecosystem: A Systematic Literature Review Suryantara, I Gusti Ngurah; Ginting, Jusia Amanda; Manuel, Raphael Benedict
JURNAL SISFOTEK GLOBAL Vol 16, No 2 (2026): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v16i2.16279

Abstract

The development of smart campuses has intensified the use of data-driven technologies to support institutional decision-making in higher education. However, many existing smart campus implementations remain system-oriented, with limited emphasis on learning processes and student needs. This study aims to formulate a student-centric model for learning analytics within digital twin–enabled smart campus ecosystems through a systematic literature review. The review follows the PRISMA 2020 guidelines and analyzes peer-reviewed articles indexed in the Scopus database, focusing on digital twins, smart campuses, learning analytics, and data governance. The findings indicate that digital twins have evolved from static digital representations into integrated platforms that combine real-time data, modeling, and analytics to support proactive decision-making. Nevertheless, the integration of learning analytics that explicitly centers on students is still fragmented. The concept of the student digital twin emerges as a promising approach for modeling learners as dynamic analytical entities, but it also raises critical concerns related to ethics, privacy, transparency, and governance. Based on the synthesis, this study proposes a conceptual student-centric model consisting of data sources, sensing mechanisms, student modeling, learning analytics, feedback and intervention pathways, and governance safeguards. The model provides a structured foundation for designing responsible and sustainable learning analytics in smart campus environments.
Co-Authors Adikara, Fransiskus Alamsyah, Ferry Alvaro, Giovanni Andry, Johannes Fernandes Ardy Mathias Jadera Destriana Widyaningrum Francka Sakti Lee Harry Setiawan Helen Leonora Henglie, Reycardo I Gede Wisnu Satria Chandra Putra Irwan Sembiring Johanes Fernandes Andry Lumba, Ester Manuel, Raphael Benedict Marvelino, Matthew Marvelino, Matthew Michael Michael Ngurah Suryantara, I Gusti Ngurah Suryantara, I Gusti Gusti Pangestu, Matias Indra Purnomo, Yunianto Putra, Yonathan Rahadi Rico Fernando sagaino Sagaino setiady, kevin wijaya Sinata, Frans Sulaiman, Dewi Candani Suryantara, I Gusti Ngurah Suryantara, I Gusti Ngurah Teady Matius Surya Mulyana, Teady Matius Thenata, Angelina Pramana Virginia, Maria Wijaya, Agustinus Frits Wijaya, Agustinus Fritz