ISSN: 2222-6990
Open access
A traditional game like checker or dam is often played by people in the past during their free time. Despite their leisurely and compelling activities, the games stimulate the cognitive, social and emotional well-being of players, to plan the right strategy to win the game. However, moving along with the difference in time, traditional games that used to be often played by all sections of society are increasingly being marginalized by the younger generation. Due to the development of technology, the younger generation appears to be more inclined to play mobile games than traditional ones. The proposed solution to this problem is to create a traditional game in digital form; and this paper aims to develop a digital checkers game application using machine learning and to test the functionality and effectiveness of the game. The development of this digital checkers game applies agile model, combined with game design strategy. The Alpha-Beta Pruning algorithm will be used to produce a computer capable of playing checkers. Based on the game competition result, the player's winning rate decreases along with the chosen difficulty level. Once the difficulty level increase, players need to demonstrate their mastery to play against computer. The computer has gained increased information to defeat the opponent using various strategies using "alpha-beta pruning" technique. This digital checkers game is expected to increase awareness and passion among generation young towards the local traditional games. Expected game play experience from the application include entertainment and easy access especially using smart telephone device.
Ariffin, S. N. A. N., & Tiun, S. (2022). Improved POS Tagging Model for Malay Twitter Data based on Machine Learning Algorithm. International Journal of Advanced Computer Science and Applications, 13(7), 229–234. https://doi.org/10.14569/IJACSA.2022.0130730
Damayanti, N. R., & Ali, N. M. (2022). EMOGAME: Digital Games Therapy for Older Adults. International Journal of Advanced Computer Science and Applications, 13(3), 183–191. https://doi.org/10.14569/IJACSA.2022.0130324
Damayanti, N. R., Ali, N. M., & Lee, H. (2022). Exploring Positive Emotions and Games Technology Among Older Adults With Mild Cognitive Impairment. Journal of Theoretical and Applied Information Technology, 100(8), 2438–2449.
Dyulicheva, Y. Y., & Glazieva, A. O. (2022). Game based learning with artificial intelligence and immersive technologies: an overview. CEUR Workshop Proceedings, 146–159.
Fabricatore, C. (2007). Gameplay and Game Mechanics Design: A Key to Quality in Videogames. Expert Meeting on Videogames and Education, 147–151. https://doi.org/10.1016/0030-4018(90)90425-S
Fadly, M., Zulhilmy, M., & Bazilah, N. (2016). Box of Traditional Game: A Matching of Tourism and Malaysian Cultures. Asia Tourism Forum 2016 – The 12th Biennial Conference of Hospitality and Tourism Industry in Asia, August, 419–422. https://doi.org/10.2991/atf-16.2016.63
Felstiner, C. (2019). Alpha-Beta Pruning.
https://www.whitman.edu/documents/Academics/Mathematics/2019/Felstiner-Guichard.pdf
Galway, L., Charles, D., & Black, M. (2008). Machine learning in digital games: A survey. Artificial Intelligence Review, 29(2), 123–161. https://doi.org/10.1007/s10462-009-9112-y
Jamil, I. B., & Kadir, Z. Bin. (2015). The Invention of Malaysian Traditional Game into Mobile Game Apps?: A Case Study of Tarik Upih. ICOMHAC Proceeding, 405–412.
Johannes Funkranz. (2017). Machine Learning and Game Playing. In C. Sammut, G.I. Webb (eds) Encyclopedia of Machine Learning and Data Mining (pp. 783–788). https://doi.org/10.1007/978-1-4899-7687-1
Kortmann, R., & Harteveld, C. (2009). Agile game development: lessons learned from software engineering. Learn to Game, Game to Learn, September. http://www.isaga2009.org/
Lamrani, R., & Abdelwahed, E. H. (2020). Game-based learning and gamification to improve skills in early years education. Computer Science and Information Systems, 17(1), 339–356. https://doi.org/10.2298/CSIS190511043L
Lei, X., Mohamad, U. H., Sarlan, A., Shutaywi, M., Daradkeh, Y. I., & Mohammed, H. O. (2022). Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms. Information Processing and Management, 59(5), 103036. https://doi.org/10.1016/j.ipm.2022.103036
Nursyahida, M., Ismail, A., & Muda, Z. (2018). Preliminary Study: Flood Awareness Training Preparation Using Serious Games. Asia-Pacific Journal of Information Technology and Multimedia, 7(2–2), 13–26.
Ramli, I. S. M., Maat, S. M., & Khalid, F. (2022). The design of game-based learning and learning analytics. Cypriot Journal of Educational Sciences, 17(5), 1742–1759. https://doi.org/10.18844/cjes.v17i5.7326
Razali, N. E. M., Ramli, R. Z., Mohamed, H., Mat Zin, N. A., Rosdi, F., & Mat Diah, N. (2022). Identifying and validating game design elements in serious game guideline for climate change. Heliyon, 8(1), e08773. https://doi.org/10.1016/j.heliyon.2022.e08773
Ruonala, H.-R. (2016). Agile Game Development: A Systematic Literature Review.
Saffidine, A., Finnsson, H., & Buro, M. (2012). Alpha-beta pruning for games with simultaneous moves. Proceedings of the National Conference on Artificial Intelligence, 1, 556–562. https://doi.org/10.1609/aaai.v26i1.8148
Shamshiri, H. (2021). Supporting sustainability design through agile software development. ACM International Conference Proceeding Series, June, 300–304. https://doi.org/10.1145/3463274.3463347
Voulgari, I., Zammit, M., Stouraitis, E., Liapis, A., & Yannakakis, G. (2021). Learn to Machine Learn: Designing a Game Based Approach for Teaching Machine Learning to Primary and Secondary Education Students. Proceedings of Interaction Design and Children, IDC 2021, June, 593–598. https://doi.org/10.1145/3459990.3465176
Noor, W. M. R. F. H. A. R., & Ahmad, M. A. (2019). “TRADISIX” - Selected Traditional Games In A Box: A New Approach in Raising Awareness and Interest On Traditional Games Towards Children. Simposium Warisan Bangsa-.
Yusoff, N., Kuay, H. S., Salleh, R. M., Ismail, R., Ahmad, R., & Antoine, A. (2020). Malay traditional games are never a loss: An emotional reflection of Malaysians and immigrants in Malaysia. Geojournal of Tourism and Geosites, 31(3), 1004–1009. https://doi.org/10.30892/gtg.31311-534
In-Text Citation: (Abdullah & Judi, 2023)
To Cite this Article: Abdullah, M. A. A., & Judi, H. M. (2023). Try Dam: Digital Checkers Game Application Based on Machine Learning. International Journal of Academic Research in Business and Social Sciences, 13(1), 817 – 826.
Copyright: © 2023 The Author(s)
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