User Interface Design Analysis of Android-Based Sign Language Recognition Learning Media at Special Schools

This research aims to conduct an in-depth analysis of the user interface (UI) design of Android-based sign language recognition learning media used in special schools. In the context of educational inclusion, sign language learning plays an important role in facilitating effective communication for individuals with hearing loss. The use of mobile technology, such as Android applications, has offered an attractive solution to enhance sign language learning by providing flexible and affordable access.

However, the UI design of sign language learning apps does not always adequately consider the special needs of users, especially students with hearing impairment. Therefore, this research aims to analyze the UI design of existing Android-based sign language learning apps, focusing on accessibility, intuitiveness, and effectiveness in delivering learning content.

This research uses the Research and Development (R&D) method with the Waterfall model approach. This research method involves analyzing various aspects of UI design, including layout, navigation, use of symbols, and interactivity. Data was collected through direct observation of student use of the application and interviews with educators in special schools. Data analysis was conducted using qualitative and quantitative approaches to identify strengths and weaknesses in the app's UI design.

The results showed that of the four instruments used in analyzing the UI design of this "AkuBisa" learning media application, using a Likert scale and a Guttman scale, the following results were obtained: needs analysis instrument with an average value of 3.45; media development storyboard instrument with an average value of 3.37; media display design instrument with an average value of 3.31; and Blackbox testing instrument with a percentage level of functionality reaching 100%. The results of testing and assessment of the four instruments show that the user interface design of android-based sign language recognition learning media is declared very valid in fulfilling the elements of accessibility, intuitiveness, and effectiveness as a learning media application and is very feasible to use as an alternative learning media for sign language recognition in special schools.