Wall Object Design in Maze Game Using Cellular Automata Algorithm

Authors

  • Furqan Malem Telkom University

DOI:

https://doi.org/10.25124/cepat.v2i01.5781

Keywords:

Educational Games, Game-based learning, wall object, Maze Game, Cellular Automata

Abstract

Games can be an excellent learning tool for kindergarten students considering that children are happy to play at that age. For this reason, this research tries to create a maze-type educational game with the theme "Environmental Cleanliness," which teaches children to clean up garbage and trains them in awareness of the importance of environmental cleanliness.

The maze game uses the Cellular Automata Algorithm for designing wall objects so that the difficulty level of the maze can be increased at each level. The maze will change if it meets certain conditions, creating a more exciting and fun educational game for children. This implemented algorithm aims to provide challenges, improve strategy skills, and train directional and spatial awareness by knowing the spaces and paths that must be passed, pointing their location in the maze game.

The result of this research is that all features in the game design developed have been successfully implemented and functioned properly. Especially ensuring the algorithm used to generate the maze wall can work according to the design.

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References

R. A. Rahman and D. Tresnawati, “Pengembangan Game Edukasi Pengenalan Nama Hewan dan Habitatnya dalam 3 Bahasa Sebagai Media Pembelajaran Berbasis Multimedia,” Jurnal Algoritma Sekolah Tinggi Teknologi Garut, vol. 13, no. 1, pp. 184–190, 2016.

E. J. Hutagaluh, “Game kebersihan Lingkungan Menggunakan Metode Finite State Machine,” Jurnal Mahasiswa Teknik Informatika), vol. 1, no. 2, 2017.

P. W. Wijayanto and Y. Siradj, “The Educational Game ‘Indonesian Tribes’ for the Kindergarten Students,” IJPTE?: International Journal of Pedagogy and Teacher Education, vol. 1, no. 1, pp. 27–36, 2017, doi: 10.20961/ijpte.v1i1.8456.

S. H. K. Dafalla, “The Impact of Educational Games on the Academic Achievement of Fifth Grade Students in Science. (An Experimental Study on the Elementary Level, Afif Province),” International Journal of Education and Research, vol. 4, no. 12, pp. 173–188, 2016.

M. Pivec, O. Dziabenko, and I. Schinnerl, “Aspect of Game-Based Learning,” in Proceedings of I-KNOW ’03, Jul. 2003, pp. 216–225.

P. Sarkar, “A Brief History of Cellular Automata,” ACM Comput Surv, vol. 32, no. 1, pp. 80–107, 2000, [Online]. Available: http://alife.santafe.edu/alife/topics/

J. Kari, “Theory of cellular automata: A survey,” Theor Comput Sci, vol. 334, no. 1–3, pp. 3–33, Apr. 2005, doi: 10.1016/j.tcs.2004.11.021.

S. N. Kudrat, Y. Sibaroni, and E. B. Setiawan, “Traffic Light Control Simulation Using Cellular Automata and Fuzzy Inference System,” in e-Proceeding of Engineering, Apr. 2015, pp. 1884–1891.

B. Hassani and M. Tavakkoli, “A multi-objective structural optimization using optimality criteria and cellular automata Isogeometric Topology Optimization for Stress, Material and Structures Via Level-Set Method.,” Asian Journal of Civil Engineering (Building and Housing), vol. 8, no. 1, 2007, [Online]. Available: https://www.researchgate.net/publication/228522976

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Published

2023-02-26