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Submitted
July 23, 2023
Accepted
November 15, 2023
Published
December 31, 2023
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Abstract

Research developing Edu-game ”Pesut Adventure – Borneo Animal Educational Game” is a research develop Match-Up type game. In this type game, player must find match 2 images of the Borneo animals in the same time, the player must remember the position of the image to be matched. The shuffling-random algorithm used to make images position always scrambled and player never get bored playing. AI technology (artificial intelligence) is also applied on this research. Using the Finite State Machine (FSM) model, the game agent was created in funny-animals form. It will mentoring the children to play this game like a teacher

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How to Cite
Khoirunnita, A., Harpad, B. ., Ikhsan, N. ., Andrea, R., Beze, H., & Rudito, R. (2023). Development Intelligent Agent in Educational Game “Pesut Adventure – Borneo Animal Match-Up” with Shuffle Random Algorithm . TEPIAN, 4(4), 183–188. https://doi.org/10.51967/tepian.v4i4.2891
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References

  1. Andrea, R. Teknik Pengacakan Posisi Objek “Find Me! – The Game. Prosiding Seminar Nasional Ilmu Komputer. hal. 301-303, November 2013
  2. Andrea, R. Teknik Pengacakan Arena Permainan “Find Me! – Bumi Etam” dengan Teknik Shuffle Random. Prosiding Seminar Nasional Teknologi Kompututer. hal. 823-827, September 2015.
  3. Andrea, R. Teknik Pengacakan Posisi Objek Permainan Match-Up “Find Me!-Bumi Etam”. Prosiding Seminar Nasional Teknologi Informasi dan Multimedia. hal. 205-209, Februari 2015
  4. Andrea, R., & Palupi, S. (2018). Membangun Edugame “Boni Kids–Borneo Animal Kids” Permainan Match-up dengan Teknik Pengacakan Shuffle dan Pengembangan Agen Cerdas dengan Model Finite State Machine (Fsm). Sebatik, 19(1), 6-10.
  5. Andrea, R., & Wijayanti, S. (2021). Finite State Machine Model in Jungle Adventure Game an Introduction to Survival Skills. International Journal of Information Engineering & Electronic Business, 13(4).
  6. Aversa, D. (2022). Unity Artificial Intelligence Programming: Add powerful, believable, and fun AI entities in your game with the power of Unity. Packt Publishing Ltd.
  7. Bainbridge, K., Shute, V., Rahimi, S., Liu, Z., Slater, S., Baker, R. S., & D'Mello, S. K. (2022). Does embedding learning supports enhance transfer during game-based learning?. Learning and Instruction, 77, 101547.
  8. Courgeon, M., Clavel, C., & Martin, J. C. Appraising emotional events during a real-time interactive game. In Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots (hal. 7). ACM.2009.
  9. Hajji, B., Mellit, A., & Bouselham, L. (2022). Finite State Machines. In A Practical Guide for Simulation and FPGA Implementation of Digital Design (pp. 175-205). Springer, Singapore.
  10. Herder, T., & Rau, M. (2022). Representational-competency supports in an educational video game for undergraduate astronomy. Computers & Education, 104602.
  11. Hocking, J. (2022). Unity in Action: Multiplatform game development in C. Simon and Schuster.
  12. Kalmpourtzis, G. (2018). Educational Game Design Fundamentals: A journey to creating intrinsically motivating learning experiences. AK Peters/CRC Press.
  13. Lanham, M. (2017). Augmented reality game development. Packt Publishing Ltd.
  14. Loiacono, T., Trabucchi, M., Messina, N., Matarazzo, V., Garzotto, F., & Beccaluva, E. A. (2018, April). Social MatchUP- a Memory-like Virtual Reality Game for the Enhancement of Social Skills in Children with Neurodevelopmental Disorders. In Extended Abstracts of the 2018 CHI conference on human factors in computing systems (pp. 1-6).
  15. Rachman, A., Suhartono, V., & Purwanto, Y. Agen Cerdas Animasi Wajah untuk Game Tebak Kata. Jurnal Teknologi Informasi, 6(1), hal. 1-8, 2010.
  16. Schöbel, S., Saqr, M., & Janson, A. (2021). Two decades of game concepts in digital learning environments–A bibliometric study and research agenda. Computers & Education, 173, 104296.
  17. Shi, Y. R., & Shih, J. L. (2015). Game factors and game-based learning design model. International Journal of Computer Games Technology, 2015.
  18. Sindhu, R. M., Annabel, L. S. P., & Monisha, G. (2022, April). Development of a 2D Game using Artificial Intelligence in Unity. In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1031-1037). IEEE.
  19. Sungkaew, K., Lungban, P., & Lamhya, S. (2022). Game development software engineering: digital educational game promoting algorithmic thinking. International Journal of Electrical & Computer Engineering (2088-8708), 12(5).
  20. Singh, R. K., Singh, P., & Singh, G. (2021). Software Reliability with Jumping Finite Automata. BFC Publications.
  21. Schultz, C. P., & Bryant, R. D. (2016). Game testing: All in one. Mercury Learning and Information.
  22. Sirakoulis, G. C., & Adamatzky, A. (Eds.). (2015). Robots and lattice automata (Vol. 1). Cham: Springer International Publishing.
  23. Tyagi, A. K., Abraham, A., & Kaklauskas, A. (2022). Intelligent interactive multimedia systems for e-healthcare applications. Springer.
  24. Thampi, A. (2022). Interpretable ai. Simon and Schuster.
  25. Yang, S., Lee, J. W., Kim, H. J., Kang, M., Chong, E., & Kim, E. M. (2021). Can an online educational game contribute to developing information literate citizens?. Computers & Education, 161, 104057.
  26. Yusnita, A., Wijayanti, S., & Felita, P. A Implementasi Algoritma Shuffle Random Pada Edugame Magic Time Berbasis Universal Windows Platform (UWP). Prosiding SNITT POLTEKBA, 2(1), hal. 203-208, 2017.