Design and Validity of Local-Wisdom-Based Reading Apps Using Adobe Animate CC 2022

Manuscript received May 31, 2023; revised June 29, 2023; accepted July 24, 2023; published January 2, 2024

Abstract—Reading activity can be carried out by utilizing various media such as textbooks, digital books, and applications. This study aims to investigate how are the design and validity of local-wisdom-based reading application which is developed using Adobe Animate CC 2022 apps. This study is a stage in developmental research. Research samples are 270 students. The data in designing and validating the application is collected using observation, interview, and questionnaire techniques. It is analyzed using content analysis which is validated using Aiken’s V index. Results of this study in designing and validating a reading app are started from the first step of finding problems. There are three main problems in teaching early reading. The second step is to compile and distribute questionnaire. The questionnaire consists of five questions to investigate students’ needs. The third step is to develop the design and prototype of local-wisdom-based early reading apps which implements Adobe Animate CC 2022 Apps. The fourth step is to conduct evaluation. It involves two material experts of early reading and two learning media experts. Validators’ suggestions have been used to improve the developed application. The conclusion of this study is that the materials of early reading application implement Indonesian local wisdoms which have not implemented in other reading applications.

Keywords—Adobe Animate CC 2022, local wisdom, reading application

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Cite: Cahyo Hasanudin, Ayu Fitrianingsih, Nofia Fitriyana, and Nabila Ulfaida, "Design and Validity of Local-Wisdom-Based Reading Apps Using Adobe Animate CC 2022," International Journal of Information and Education Technology vol. 14, no. 1, pp. 1-11, 2024.