The Implementation of Hybrid Neuro Fuzzy Membership Function Analysis for Predicting Player Emotional Intelligence of Balinese Game Model
Abstract
This paper aims to examine the application of Neuro fuzzy membership function analysis to predict the emotions of children who like to play games. The game that has been developed is a type of game based on Balinese local wisdom, which innovates the Balinese culture-based legend I Rajapala. Rajapala who married an angel had a son named Durma. Rajapala and Durma are used as game characters that can be played on behalf of game players. Game-factor and emotional variable data were collected using a questionnaire integrated into the game system, as well as motivational data from points achieved and the use of time recorded in the game system. The data were analyzed by Sugeno Neuro Fuzzy system with hybrid and backpropagation methods. The results obtained are as follows: (1) Emotional Balinese game players can be predicted from game-factors and motivations of game players. This was shown from the FIS output (Eo) of the neuro fuzzy training analysis and the RMSE (Eo=36.8; RMSE=4.6610), the testing analysis was (Eo=33.0; RMSE=4.4528), and the checking analysis was (Eo=37.8; RMSE=4.7479) with a difference of less than 13% (training=2.72%; testing=3.0%, and checking=12.77%). In other words, if it is analyzed descriptively was (M=37.83; SD=5.3573), the output of neuro fuzzy is obtained more than 87.23%. (2) The emotional level of the child was categorized as a positive, the child's motivation was moderate and the response to the game was positive. These findings can be taken into consideration in choosing the type of game to be played in order to increase motivation and control children's emotions. Besides that, innovating games based on local wisdom is expected to preserve local Balinese culture.
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References
[2] Arbamedia, "Reason Behind the Growth in Mobile Game in Indonesia," http://www.arbamedia.com/2015/04/pertumbuhan-dan-perkembangan-game-mobile.html, (2015).
[3] D. P. Suwindra, Sudarma, Putra Sastra, "Developing Balinese Culture-Based Serious Game Model: I Rajapala as a Hunter."
[4] Y.-R. S. Shi, J-L, "Game Factors and Game-Based Learning Design Model," International Journal of Computer Games Technology, 2015, pp. 1-11.
[5] U. Murad, and M. Malkawi, "Artificial neuro fuzzy logic system for detecting human emotions."
[6] C. D. Darina Dicheva, “Gamification in Education: Where Are We in 2015?,” in World Conference on E-Learning, Kona, Hawaii, October 19-22, 2015, 2016.
[7] J. H. Bae, “Development of Smart Game Based on Multi-Platform Game Engine,” International Journal of Multimedia and Ubiquitous Engineering, vol. 11. No.3 (2016), pp. 345-350, , 2016, http://dx.doi.org/10.14257/ijmue.2016.11.3.32.
[1] J. C, Tarasuik, o. Ciorciari et al., “Understanding the Neurobiology of Emotional Intelligence: A Review,” Assessing Emotional Intelligence, pp. pp 307-320, 2009, http://doi.org/10.1007/978-0-387-88370-0_16.
[2] Arbamedia, "Reason Behind the Growth in Mobile Game in Indonesia," http://www.arbamedia.com/2015/04/pertumbuhan-dan-perkembangan-game-mobile.html, (2015).
[3] D. P. Suwindra, Sudarma, Putra Sastra, "Developing Balinese Culture-Based Serious Game Model: I Rajapala as a Hunter."
[4] Y.-R. S. Shi, J-L, "Game Factors and Game-Based Learning Design Model," International Journal of Computer Games Technology, 2015, pp. 1-11.
[5] U. Murad, and M. Malkawi, "Artificial neuro fuzzy logic system for detecting human emotions."
[6] C. D. Darina Dicheva, “Gamification in Education: Where Are We in 2015?,” in World Conference on E-Learning, Kona, Hawaii, October 19-22, 2015, 2016.
[7] J. H. Bae, “Development of Smart Game Based on Multi-Platform Game Engine,” International Journal of Multimedia and Ubiquitous Engineering, vol. 11. No.3 (2016), pp. 345-350, , 2016, http://dx.doi.org/10.14257/ijmue.2016.11.3.32.
[8] M. J. E. Marjorie A. Zielke, Frank Dufour, et.al “Serious games for immersive cultural training: creating a living world,” IEEE Computer Graphics and Applications, vol. 29, no. 2, pp. 49–60, 2009, http://doi.org/10.1109/MCG.2009.30.
[9] F. G. M. S. A.F.S. Barbosa, "Serious games design and development of oxyblood." pp. 15:1–15:8.
[10] P. N. M. P. André F. S. Barbosa, João A. F. F. Dias, and Frutuoso G. M. Silva, “A New Methodology of Design and Development of Serious Games,” International Journal of Computer Games Technology vol. 2014, ID 817167, pp. 8 pages, 2014, http://doi.org/10.1155/2014/817167.
[11] Zaheeruddin, and Garima, “A neuro-fuzzy approach for prediction of human work efficiency in noisy environment,” Applied Soft Computing, vol. Volume 6, Issue 3, March 2006, pp. Pages 283-294, 2016, http://doi.org/10.1016/j.asoc.2005.02.001.
[12] M. R. K. Ehsan Lotfi, “OPEC Oil Price Prediction Using ANFIS,” Journal of mathematics and computer science, vol. 10 (2014), pp. 286-296, 2014.
[13] M. A. Raharja, I. B. A. Darmawan, D. P. E. Nilakusumawat et al., “Analysis of membership function in implementation of adaptive neuro fuzzy inference system (ANFIS) method for inflation prediction,” Journal of Physics: Conference Series, ICW-HDDA-X 2020, vol. Vol.1722 (2021) 012005, 2021, http://doi.org/10.1088/1742-6596/1722/1/012005.
[14] G. G. Tiruneha, A. R. Fayekb, and V. Sumati, “Neuro-fuzzy systems in construction engineering and management research,” Automation in Construction, vol. Volume 119, November 2020, 103348, 2020, http://doi.org/10.1016/j.autcon.2020.103348.
[15] N. S. S. Riksa Faisal, Setiono, “Prediksi Stabilitas Lereng Menggunakan Adaptif Neuro Fuzzy Metode Hybrid,” e-Jurnal Matriks Teknik Sipil Universitas Sebelas Maret, vol. September 2018, pp. 439-450, 2018.
[16] H.Fattahi, “Prediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods,” Journal of Mining & Environment, vol. Vol.8, No.2, 2017, pp. 163-177, 2017, http://doi.org/10.22044/jme.2016.637.
[17] Mathworks, "Matlab User Gaide Fuzzy Logic Toolbox," Matlab, Hill Drive Natick: The MathWorks, Inc, 2015.
[18] I.-K. L. Kwon, S.-Y, “An Emotional Space Modeling for the Adaptive Emotional Model Design Based on Sugeno Fuzzy Inference,” International Journal of Software Engineering and Its Applications, Vol.8, No.6 (2014), pp.109-120., vol. 8 No.6, 2014.
[19] T. Lickona, “Do Parents Make a Difference in Children's Character Development?,” in Fourth Annual Fall Character Education Seminar November 20, 1998.
[20] T. Lickona, Educating For Character, Jakarta: PT Bumi Bersama, 1991.
[21] N. Sukajaya, Purnama, K. E. & Purnomo, M. H, “Intelligent Classification of Learner's Cognitive Domain using Bayes Net, Naïve Bayes, and J48 Utilizing Bloom's Taxonomy-based Serious Game,” International Journal of Emerging Technologies in Learning (IJET), vol. 10, 46, 2015, http://dx.doi.org/10.3991/ijet.v10i2.4451.
[22] S. Winton, “Character Education: Implications for Critical Democracy,” International Critical Childhood Policy Studies, vol. 1 (1), pp. 12 pages, 2008.
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