EVALUATION OF ARDUINO-BASED ASSISTIVE TECHNOLOGY FOR THE BLIND: IMPLICATIONS FOR INCLUSIVE TECHNICAL EDUCATION
Abstract
Visually impaired individuals often face mobility challenges due to the limitations of conventional canes, which are unable to detect obstacles automatically. This study aims to develop and evaluate an assistive technology based on Arduino Uno R3 and an HC-SR04 ultrasonic sensor as a navigation aid. The system is designed to detect surrounding objects and provide warnings through a buzzer and a vibration motor as multimodal feedback. The research employed the Waterfall model, consisting of requirements analysis, design, construction, implementation, and evaluation stages. Testing was conducted on four visually impaired students from the Department of Special Education at Universitas Sultan Ageng Tirtayasa using a Likert scale to assess comfort, effectiveness, and ease of use. The results show an average score of 0.8075, categorized as “fairly high,” indicating good user acceptance and usability of the device. The developed technology is considered sufficiently feasible and effective as a mobility aid, although further improvement is still required. In addition, this study demonstrates that integrating microcontroller-based assistive technology can serve as a contextual learning medium in vocational education, particularly in electronics and embedded systems. The findings also imply that this approach supports the enhancement of engineering competencies through project-based learning oriented toward real-world inclusive solutions.
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DOI: https://doi.org/10.17509/jmee.v13i1.95594
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