Abstract
Research on first aid educational game is a research development of Drag and Drop Game type games designed to provide learning how to deal with injured patients. In this game players must provide treatment to patients affected by various injuries. The shuffle-shuffling algorithm was applied in this study, with the aim of making the composition of injured patients invariably scrambled and the game not monotonous and boring. AI technology (artificial intelligence) is also applied to this research. Using the Decision Tree modeling method, games that are built will have game agent characters that will accompany the child to play like a patient, so the game feels more had a real interaction.
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Gunawan, Nurhuda, A., Andrea, R. (2020). Implementation of Decision Tree Algorithm on Game Agent of First Aid Educational Game. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_25
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