Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Computing and Smart Ecosystems
Teuku Zaine Abror Attolok
Department of Information Technology, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang, Indonesia
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Enhancing Conceptual Understanding of the Solar System Through 3D Augmented Reality in Primary Education Eva Febyliana; Teuku Zaine Abror Attolok; Diaz Aditya; Raina Artika Ramadlonia; Taufik Ismail; Muhammad Zainudin Al Amin
Journal of Computing and Smart Ecosystems Vol. 1 No. 1 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The advancement of digital technologies has introduced new methods in science education, including the use of Augmented Reality (AR). Traditional astronomy instruction often relies on two-dimensional media, which limits students’ ability to visualize and interact with celestial phenomena. This paper presents EduPlanet, a 3D AR-based educational application designed to enhance students’ understanding of the solar system. The application allows users to explore planets interactively, visualize orbital movements, and access informative content in real time. Developed using Unity and Vuforia SDK, EduPlanet consists of three main modules: learning content, marker-based AR visualization, and a quiz system with instant feedback. Functional testing using the Black Box method confirmed that all features performed as intended. Informal usability testing with elementary school students showed high levels of engagement, particularly in the AR and quiz components. The findings suggest that EduPlanet offers an effective and accessible tool to support astronomy learning in primary education, with potential for broader application in digital science pedagogy.
WebGIS-Based Diagnosis of Economic Vulnerability: Implementing the Inflation Risk-Burden Matrix via a Spiral Development Framework Eva Febyliana; Teuku Zaine Abror Attolok; Auliya Rohman Riquelme Al Ubaidah; Kilala Mahadewi
Journal of Computing and Smart Ecosystems Vol. 1 No. 2 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study develops a WebGIS application to diagnose regional economic vulnerability using the Inflation Risk–Burden Matrix supported by a Spiral Development Framework. Monthly inflation data from 150 Indonesian cities for 2021–2024 are transformed into two indicators: long-term inflation burden and annual volatility risk. These indicators classify each city into four vulnerability quadrants. Findings show that more than half of the cities fall into the High-Burden & High-Risk category, indicating strong structural pressures and unstable price dynamics. The WebGIS system visualizes these classifications through thematic layers, spatial interaction tools, and automatic diagnostic pop-ups, allowing users to interpret inflation conditions more easily. The study concludes that integrating analytical metrics with spatial visualization enhances diagnostic accuracy and supports more effective, evidence-based decision-making for regional inflation control.
Co-Authors Al Amin, Muhammad Zainudin Auliya Rohman Riquelme Al Ubaidah Diaz Aditya Eva Febyliana Kilala Mahadewi Raina Artika Ramadlonia Taufik Ismail