Sampah Sebagai Energi Terbarukan Berbasis Aplikasi Game Edukasi

Authors

  • Ida Betanursanti Jurusan Teknik Industri, Universitas Muhammadiyah Gombong, Jawa Tengah Author
  • Galih Mahardika Munandar Jurusan Teknik Industri, Universitas Muhammadiyah Gombong, Jawa Tengah Author
  • Alifta Dicasani Jurusan Teknik Industri, Universitas Muhammadiyah Gombong, Jawa Tengah Author

Keywords:

classical statistical tests, educational game application, renewable energy, usability, waste

Abstract

Litter is a very disturbing object in the environment. Public awareness of waste management is still minimal. The government, together with several communities, has tried to utilise it, but waste accumulation remains a significant problem. Entertaining educational efforts are needed to help the public understand proper waste management. In line with the government's programme to promote the use of new and renewable energy, waste can be used as renewable energy, depending on its classification. This research aims to create an entertaining and accessible educational model application in the digital age that utilises waste as renewable energy based on educational games. Tests were carried out using classical statistical tests, including validity tests, reliability tests and Spearman correlation tests. The results obtained from the questionnaires given to the users who completed the trial showed that 4 items were not valid: Q4, Q18, Q29 and Q31. The results of the reliability test showed that out of 28 data tested, the value was very high at 0.946. The correlation test concluded that learnability is correlated with memorability and satisfaction, while satisfaction is correlated with errors

Downloads

Published

15/07/2024

Issue

Section

Articles

How to Cite

[1]
“Sampah Sebagai Energi Terbarukan Berbasis Aplikasi Game Edukasi”, jse, vol. 9, no. 3, pp. 10056–10061, Jul. 2024, Accessed: Nov. 24, 2024. [Online]. Available: https://jse.serambimekkah.id/index.php/jse/article/view/384

Similar Articles

1-10 of 226

You may also start an advanced similarity search for this article.