Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal ELINVO (Electronics, Informatics, and Vocational Education)
Ema Utami
Dept. of Informatics Doctorate Universitas Amikom Yogyakarta
Computer Science & IT Education Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Conceptual Ontology Framework for Culturally-Adaptive Mobile Learning Interfaces: Integrating the Indonesian Wellbeing Scale Bhanu Sri Nugraha; Muhammad Suyanto; Kusrini; Ema Utami
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i1.83437

Abstract

This research addresses the lack of cultural sensitivity in existing Adaptive User Interface (AUI) frameworks, which predominantly rely on Western-centric paradigms and often overlook the collective and spiritual dimensions of student well-being. To bridge this gap, this study proposes a conceptual ontology framework that operationalizes the Indonesian Wellbeing Scale (IWS) into computational adaptation logic for mobile learning applications. Adopting a Design Science Research approach utilizing the NeOn methodology, we formally modeled multidimensional context factors—specifically spiritual observances, social relations, and self-acceptance—into a machine-readable semantic taxonomy. The proposed ontology was rigorously validated using a two-tiered verification strategy: logical consistency checking via the HermiT reasoner and functional validation through Competency Questions (CQs) mapped to SPARQL queries. The results demonstrate that the framework successfully infers complex user needs and triggers appropriate interface adaptations, such as prioritizing community interactions during social isolation or scheduling spiritual alerts, without logical conflicts. This study contributes a validated computational model for Culturally-Adaptive User Interfaces, providing a robust semantic foundation for future physical implementation and empirical user evaluation.
Co-Authors Bhanu Sri Nugraha Kusrini Muhammad Suyanto