Sistem Suggestion dengan Metode TOPSIS untuk Meningkatkan Keberhasilan Serious Game Greenlife Town
Keywords:
Website, Android Application, Museum, Interactive MapAbstract
Indonesia has a huge potential for renewable energy sources. However, this potential has not been fully utilized. One of the reasons is that the Indonesian people still do not understand renewable energy sources properly. Due to a lack of understanding and education, very few people are motivated to advance renewable energy sources in Indonesia. The solution to this problem is to create a platform for education to encourage. The platform is in the form of Serious Game. However, in practice, players often find it difficult to complete the game, so that the player's focus is more on solving problems than receiving information. Therefore, this thesis also utilizes the suggestion system to provide assistance options to players using the TOPSIS method. The test results show that the suggestion system is not able to increase the success of players in completing the game. The resulting effect is the opposite, where players increasingly have a worse final score even touching the number 88%. This failure is not solely caused by the method used, but also the way the method is implemented, the user convenience in playing, and the form of testing that is less flexible.References
[1] Adjikri, F. (2017). Strategi pengembangan energi terbarukan
di Indonesia. Jurnal Online Mahasiswa (JOM) Bidang
Teknik Elektro, 1(1).
[2] Arif, Y. M., Harini, S., Nugroho, S. M. S., & Hariadi, M.
(2021). An Automatic Scenario Control in Serious Game to
Visualize Tourism Destinations Recommendation. IEEE
Access, 9, 89941-89957.
https://doi.org/10.1109/ACCESS.2021.3091425
[3] Dörner, R., Göbel, S., Effelsberg, W., & Wiemeyer, J.
(2016). Serious games. Basel, Switzerland: Springer
International Publishing. https://doi.org/10.1007/978-3-319-
40612-1
[4] Ge, X., & Ifenthaler, D. (2018). Designing Engaging
Educational Games and Assessing Engagement in GameBased Learning. In I. Management Association (Ed.),
Gamification in Education: Breakthroughs in Research and
Practice (pp. 1-19). IGI Global. https://doi.org/10.4018/978-
1-5225-5198-0.ch001
[5] Haryanto, A. (2017). Energi Terbarukan.
[6] Kaltschmitt, M., Streicher, W., & Wiese, A. (Eds.). (2007).
Renewable energy: technology, economics and environment.
Springer Science & Business Media.
[7] Majumder, M. (2015). Multi criteria decision making. In
Impact of urbanization on water shortage in face of climatic
aberrations (pp. 35-47). Springer, Singapore.
https://doi.org/10.1007/978-981-4560-73-3_2
[8] Michael, D. R., & Chen, S. L. (2005). Serious games: Games
that educate, train, and inform. Muska & Lipman/PremierTrade.
[9] Ouariachi, T., Elving, W. J., & Pierie, F. (2018). Playing for
a sustainable future: The case of We Energy Game as an
educational practice. Sustainability, 10(10), 3639.
https://doi.org/10.3390/su10103639
[10] Su, C. H., Chen, K. T. K., & Fan, K. K. (2013). Rough set
theory based fuzzy TOPSIS on serious game design
evaluation framework. Mathematical Problems in
Engineering, 2013. https://doi.org/10.1155/2013/407395
[11] Wang, J. J., Jing, Y. Y., Zhang, C. F., & Zhao, J. H. (2009).
Review on multi-criteria decision analysis aid in sustainable
energy decision-making. Renewable and sustainable energy
reviews, 13(9), 2263-2278.
https://doi.org/10.1016/j.rser.2009.06.021
[12] Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute
decision making: an introduction. Sage publications.