Digital Accessibility for Disabilities
Open access
Peer reviewed
Abstract
Abstract
Web-based electronic survey systems are widely used in higher education due to their efficiency and flexibility in data collection. However, many existing survey platforms still rely on conventional text-based input and provide limited accessibility support for users with disabilities. This study aims to develop a web-based E-Survey system integrated with a speech-to-text feature to improve accessibility and support inclusive participation in digital survey activities. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall method, covering requirements analysis, system design, implementation, and testing. Accessibility considerations were based on the Web Content Accessibility Guidelines (WCAG) 2.1, while speech-to-text functionality was implemented using Automatic Speech Recognition (ASR) technology. System evaluation included black box testing, WCAG-based accessibility assessment, and speech-to-text performance testing using Accuracy and Word Error Rate (WER) metrics. The results indicate that all selected accessibility criteria evaluated in this study were successfully implemented and were consistent with the selected WCAG 2.1 principles assessed through developer-based inspection. The speech-to-text feature achieved an accuracy rate of 85.71% and a Word Error Rate (WER) of 5.41%. These findings demonstrate that the proposed system provides a more accessible and inclusive survey environment by enabling respondents to complete surveys through text or voice input, while highlighting the potential of speech-to-text technology in supporting inclusive participation in higher education.
Direct answer
What can I do from this paper page?
Use this page to scan "Design and Development of a Web-Based E-Survey System with Speech-to-Text Feature Using the Waterfall Method" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Digital Accessibility for Disabilities research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Kurniawan2026Design,
title = {Design and Development of a Web-Based E-Survey System with Speech-to-Text Feature Using the Waterfall Method},
author = {M Aziz Kurniawan and Yumna Zahran Ramadhan and Muhammad Solehuddin and Deki Satria and Sasmi Hidayatul Yulianing Tyas},
journal = {SMATIKA JURNAL},
year = {2026},
doi = {10.32664/smatika.v16i02.2331},
url = {https://doi.org/10.32664/smatika.v16i02.2331}
}FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Digital Accessibility for Disabilities research papers?
Follow Digital Accessibility for Disabilities research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Design and Development of a Web-Based E-Survey System with Speech-to-Text Feature Using the Waterfall Method. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app