Searching for Animal Names Through Games

  • Dicky Reza Edina Permana Departemen Sistem Informasi, Universitas Komputer Indonesia, Indonesia
  • Nurkhalis Suazi Departemen Sistem Informasi, Universitas Komputer Indonesia, Indonesia
  • Teguh Cahya Wibawa Departemen Sistem Informasi, Universitas Komputer Indonesia, Indonesia
Keywords: Gamification, Animal Names, Games


Children are the next generation of the nation where children must have provisions in the form of knowledge. And knowledge can be obtained through learning. The basic nature of children is playing with the introduction of these animal names through games. The purpose of this research is to create a mobile game for children aged 5-7 years that simulates animal name recognition. The research method used in this research is descriptive with a quantitative approach. The results of the research conducted so that children recognize the names of animals. The main concept of this product is game. In the end this game was created to educate children. This simulation is made for children to know the names of existing animals. The game scheme is made in several levels. This research was conducted with the aim of developing games so that they can be a means of learning for children on Android-based mobile devices, to broaden children's horizons, and to determine the feasibility of Android-based learning. With this game can shape the character and development of children.


[1] Curby, T. W., Brown, C. A., Bassett, H. H., & Denham, S. A. (2015). Associations between preschoolers' social–emotional competence and preliteracy skills. Infant and Child Development, 24(5), 549-570.
[2] Gerde, H. K., Bingham, G. E., & Pendergast, M. L. (2015). Reliability and validity of the Writing Resources and Interactions in Teaching Environments (WRITE) for preschool classrooms. Early Childhood Research Quarterly, 31, 34-46.
[3] Pannu, A. (2015). Artificial intelligence and its application in different areas. Artificial Intelligence, 4(10), 79-84.
[4] Samek, W., & Müller, K. R. (2019). Towards explainable artificial intelligence. In Explainable AI: interpreting, explaining and visualizing deep learning (pp. 5-22). Springer, Cham.
[5] Iida, H., & Khalid, M. (2020). A Paradigm Shift from Optimal Play to Mental Comfort: A Perspective from the Game Refinement Theory. International Journal of Informatics, Information System and Computer Engineering (INJIISCOM), 1(1), 47-78.
[6] Harapan, A., Indriani, D., Rizkiya, N. F., & Azbi, R. M. (2021). Artificial Intelligence in Architectural Design. International Journal of Design (INJUDES), 1, 1-6.
[7] Aprilia, K., & Wantoro, W. (2021). Information on How to Interact and Love Dogs for Children Through Illustration Books. International Journal of Design (INJUDES), 1, 27-36.
[8] Lucitasari, D. R., & Khannan, M. S. A. (2019). Designing Mobile Alumni Tracer Study System Using Waterfall Method: an Android Based. International Journal of Computer Networks and Communications Security, 7(9), 196-202.
[9] Aleem, S., Capretz, L. F., & Ahmed, F. (2016). Critical success factors to improve the game development process from a developer’s perspective. Journal of Computer Science and Technology, 31(5), 925-950.
[10] Beard-Gunter, A., Ellis, D. G., & Found, P. A. (2019). TQM, games design and the implications of integration in Industry 4.0 systems. International journal of quality and service sciences.
How to Cite
Reza Edina Permana, D., Suazi, N., & Cahya Wibawa, T. (2022). Searching for Animal Names Through Games. International Journal of Research and Applied Technology (INJURATECH), 2(2), 14-18.