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Analisis Model Bisnis EduverseXR sebagai Layanan Edutech Berbasis Extended Reality Yoseph Satria Praka; Candi Rahayu Tri Prameswari; Nurul Wahyuni; Ananda Maria; Fitria Nugrahani
Seminar Nasional Riset Terapan Vol. 15 No. 01 (2026): SNRT XV TAHUN 2026
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/snrtbisnis.v15i01.6906

Abstract

The development of Extended Reality (XR) technology in education provides significant opportunities for creating more interactive and immersive learning media. However, the implementation of XR in the education sector still faces challenges such as limited resources, high implementation costs, and the lack of optimal XR-based edutech service models. This study aims to analyze the business model of EduverseXR as an XR-based edutech service using the Business Model Canvas (BMC) approach and SWOT analysis to formulate sustainable business development strategies. This research employs a descriptive qualitative method using a literature review approach. Data were collected from secondary sources such as scientific articles, books, and relevant previous studies. The analysis was conducted by mapping the business model using BMC and identifying internal and external factors through SWOT analysis. The results show that EduverseXR has strong potential in developing AR and VR-based learning media supported by technological capabilities, innovative products, and significant opportunities in the digital education sector. The proposed development strategies include strengthening product differentiation, improving human resource competencies, and expanding partnerships with educational institutions to support sustainable XR implementation.
An Exploratory Analysis of Blender Scripting Activities and 3D Model Performance Yoseph Satria Praka; Ade Rahma Yuly
Journal of Engineering and Applied Technology Vol. 7 No. 02 (2026): (August)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v7i02.101651

Abstract

This study explores Blender scripting for 3D modelling through an activity-based analysis of a simple 3D object, complemented by performance testing of the resulting scene. The research employed an exploratory descriptive approach in which individual Blender Python operations were recorded and analysed based on their functions, object types, transformation parameters, and activity outcomes. The resulting scripting log contained 413 recorded activities, with 50 representative records presented for analysis. The findings document a sequence of modelling operations, including scene initialisation, primitive object creation, transformations, and modifier application. Performance testing further characterised the generated scene, which was produced in 0.9778 seconds and comprised 149 objects, 21,464 vertices, 42,352 edges, 21,168 faces, and 42,368 triangles. The scene was configured to use the Cycles rendering engine at a resolution of 1920 × 1080 pixels. These results demonstrate how activity logging and performance measurements can be combined to describe the modelling process and the characteristics of the resulting 3D object. Rather than proposing a new modelling method or optimisation technique, this study provides an exploratory account of Blender scripting activities and their associated scene characteristics. Future research may extend this approach to more complex objects, compare scripted and manual modelling workflows, and examine performance across different modelling tasks.