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p-Index From 2021 - 2026
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All Journal International Journal of Information Technology and Computer Science Applications (IJITCSA)
Antonius Rachmat Christmanto
Universitas Kristen Duta Wacana
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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Design and Evaluation of Task-Based Waste Sorting Mechanics in Virtual Reality Learning Application Matahari Bhakti Nendya; Vito Gautama; I Kadek Dendy Senapartha; Antonius Rachmat Christmanto; Dan Daniel Pandapotan
International Journal of Information Technology and Computer Science Applications Vol. 4 No. 3 (2026): September - December 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v4i3.266

Abstract

Virtual Reality (VR) can support environmental learning through embodied interaction, task-based activity, and immediate feedback. This study presents the design and evaluation of task-based waste-sorting mechanics in a virtual beach application developed in Unity and deployed on a PICO 4 headset. Thirty high-school and university students completed a 10–15-minute session and responded to the Game Experience Questionnaire (GEQ). The revised analysis follows the official GEQ procedure by scoring each component separately on a 0–4 scale and by avoiding an overall score across constructs with different directions. The experience profile was mixed. In the In-Game Module, positive affect (M = 3.05) and sensory and imaginative immersion (M = 2.85) were relatively strong, but tension (M = 3.05) and negative affect (M = 2.83) were also elevated. Post-game positive experience (M = 2.77) co-occurred with negative experience (M = 2.83), tiredness (M = 2.00), and difficulty returning to reality (M = 1.97). These findings indicate that the mechanics supported engagement in some aspects of play but also introduced interaction strain or discomfort. Because the study did not include pre-test/post-test measures or objective task logs, it does not establish learning gains or technical task effectiveness.
Co-Authors Dan Daniel Pandapotan I Kadek Dendy Senapartha Matahari Bhakti Nendya Vito Gautama