Developing Edu-Game “Ulun Smart-Kid” Learning Media of Banjar Language and Game Agent with Finite State Machine Model
Автор: Reza Andrea, Asep Nurhuda
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 5 vol.10, 2020 года.
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The research entitled edu-game "Ulun Smart-Kid" is a research development of puzzle game type designed to hone memory in the form of language. In this game player must arrange letters in random and create a word in Banjar language. AI technology (artificial intelligence) will also be applied to this research. Using the finite state machine model method game that is built will have game agent character that will accompany a child to play like a teacher. The results of this study make this entitled educational become more interesting and interactive to children. Game agent in the form of teachers can give a sad and happy expression accordingly from the game environment. It accompanies child like a teacher.
Ulun Smart-Kid, puzzle game, educational game, finite state machine
Короткий адрес: https://sciup.org/15017269
IDR: 15017269 | DOI: 10.5815/ijeme.2020.05.02
Список литературы Developing Edu-Game “Ulun Smart-Kid” Learning Media of Banjar Language and Game Agent with Finite State Machine Model
- Fouberg, E. H., & Murphy, A. B. (2020). Human geography: people, place, and culture. John Wiley & Sons.
- Basari, A. (2014). Penguatan Kurikulum Muatan Lokal dalam Pembelajaran di Sekolah Dasar. Prosiding Ilmu Pendidikan, 1(1).
- Sunarto, E., Mukarto, F. X., Bismoko, J., & Dewi, N. (2018). Trilingual Textualization to Deliver Indonesian Local Cultures to High School Students. LLT Journal: A Journal on Language and Language Teaching, 21(1), 82-93.
- Zein, S. (2020). Language policy in superdiverse Indonesia. Routledge.
- Syahidi, A., Supianto, A., & Tolle, H. (2019). Design and Implementation of Bekantan Educational Game (BEG) as a Banjar Language Learning Media.
- Grimm, C. M., Lee, H., Smith, K. G., & Smith, K. G. (Eds.). (2006). Strategy as action: Competitive dynamics and competitive advantage. Oxford University Press.
- Pukeng, A. F., Fauzi, R. R., Andrea, R., Yulsilviana, E., & Mallala, S. (2019, October). An intelligent agent of finite state machine in educational game “Flora the Explorer”. In Journal of Physics: Conference Series (Vol. 1341, No. 4, p. 042006). IOP Publishing.
- Mandziuk, J. (2010). Knowledge-free and learning-based methods in intelligent game playing (Vol. 276). Heidelberg: Springer.
- Gerber, A., & Götz, U. (Eds.). (2020). Architectonics of Game Spaces: The Spatial Logic of the Virtual and Its Meaning for the Real (Vol. 50). transcript Verlag.
- Rabin, S. (2019). Game AI Pro 360: Guide to Architecture. CRC Press.
- Rachman, A. Suhartono, V. dan Purwanto,Y. 2010. Intelligent Agent Animation Face For Guess Game of Word with Finite State Machine method. Jurnal Teknologi Informasi. 6 (1): 9-17.
- Andrea, R. 2013. Object Position Randomization Technique “Find Me! – The Game. Proceeding SENAIK. 1 November 2013, Samarinda, Indonesia. pp. 301-303.
- Andrea, R. 2015. Game Arena Randomization Technique “Find Me! – Bumi Etam” with the technique of Shuffle Random. Proceeding SENATKOM. 23 September 2015, Padang, Indonesia. pp. 823-827.
- Savov, S. A., Antonova, R., & Spassov, K. (2019). Multimedia applications in education. In Smart Technologies and Innovation for a Sustainable Future (pp. 263-271). Springer, Cham.
- Aleem, S., Capretz, L. F., & Ahmed, F. (2016). Game development software engineering process life cycle: a systematic review. Journal of Software Engineering Research and Development, 4(1), 6.
- Savov, S. A., Antonova, R., & Spassov, K. (2019). Multimedia applications in education. In Smart Technologies and Innovation for a Sustainable Future (pp. 263-271). Springer, Cham.
- Jarzabek, S., Poniszewska-Marańda, A., & Madeyski, L. (Eds.). (2020). Integrating Research and Practice in Software Engineering. Springer.
- Bécares, J. H., Valero, L. C., & Martín, P. P. G. (2017). An approach to automated videogame beta testing. Entertainment Computing, 18, 79-92.
