Sistem Suggestion dengan Metode TOPSIS untuk Meningkatkan Keberhasilan Serious Game Greenlife Town

Edward Manhattan Prasetio(1*), Gregorius Satia Budhi(2), Hans Juwiantho(3),


(1) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(2) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(3) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(*) Corresponding Author

Abstract


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.

Keywords


renewable energy; serious game; suggestion system; TOPSIS

Full Text:

PDF

References


Adjikri, F. (2017). Strategi pengembangan energi terbarukan

di Indonesia. Jurnal Online Mahasiswa (JOM) Bidang

Teknik Elektro, 1(1).

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

Dörner, R., Göbel, S., Effelsberg, W., & Wiemeyer, J.

(2016). Serious games. Basel, Switzerland: Springer

International Publishing. https://doi.org/10.1007/978-3-319-

-1

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-

-5225-5198-0.ch001

Haryanto, A. (2017). Energi Terbarukan.

Kaltschmitt, M., Streicher, W., & Wiese, A. (Eds.). (2007).

Renewable energy: technology, economics and environment.

Springer Science & Business Media.

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

Michael, D. R., & Chen, S. L. (2005). Serious games: Games

that educate, train, and inform. Muska & Lipman/PremierTrade.

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

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

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

Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute

decision making: an introduction. Sage publications.


Refbacks

  • There are currently no refbacks.


Jurnal telah terindeks oleh :