Aug 2026· Jurnal Media Elektrik· Vol 23, pp. 387-404· 0 citations
TL;DR
The findings indicate that the developed application is valid, practical, and capable of supporting SIBI learning in preliminary classroom implementation, and should be interpreted within the scope of a limited trial involving a small sample size and the absence of a control group.
Abstract
This study aimed to develop and evaluate an Android-based learning application that integrates Augmented Reality (AR) and artificial intelligence to support Indonesian Sign Language System (SIBI) learning for deaf students. The study employed the Research and Development (R&D) method using the Four-D (4D) model consisting of Define, Design, Develop, and Disseminate stages. The gesture recognition module combined MediaPipe for hand landmark detection with MobileNetV2 for gesture classification, achieving an approximate recognition accuracy of 89 %. The model was trained using 80% of the training data and 20% of the testing data. Expert validation involved two content experts and two media experts, while practicality testing involved 12 respondents (nine deaf students and three teachers). Effectiveness was evaluated using a one-group pretest-posttest design involving nine deaf students across four learning sessions. Data were collected through observations, interviews, documentation, questionnaires, and learning achievement assessments. The developed application obtained an overall expert validation score of 4.67 (Very Valid). The software quality evaluation based on the selected ISO/IEC 25010 characteristics showed 100% functional suitability, 80% portability, and 100% compatibility. The practicality testing produced an average score of 4.63 (Very Practical). The effectiveness evaluation indicated a significant improvement in learning outcomes (p = 0.001), with a moderate N-gain (0.56) and 77.78% classical learning mastery. These findings indicate that the developed application is valid, practical, and capable of supporting SIBI learning in preliminary classroom implementation. Nevertheless, the findings should be interpreted within the scope of a limited trial involving a small sample size and the absence of a control group.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.