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Implementation of Random Shuffle Algorithm to Randomize Questions in Anti-Corruption Prevention Game

Authors

  • Askar Universitas Teknologi Akba Makassar
  • Pasnur Universitas Teknologi Akba Makassar
  • Asrul Universitas Teknologi Akba Makassar
  • Amran Amiruddin Universitas Teknologi Akba Makassar
  • Muhammad Resha Universitas Teknologi Akba Makassar
  • Andri Wijaya T Universitas Teknologi Akba Makassar

DOI:

10.47709/brilliance.v3i2.3126

Keywords:

Shuffle Algorithm, Anti-Corruption, MDLC

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Abstract

Socializing anti-corruption education in Indonesia is crucial to fostering public aversion towards corruption. Games are a highly effective medium for disseminating anti-corruption prevention during school years. This research aims to implement anti-corruption education within a game using the shuffle random algorithm to ensure the successful randomization of anti-corruption questions. This data was obtained through a literature review. The method used in this study is the Multimedia Development Life Cycle (MDLC). The results of this research indicate that the testing yielded a 100% accuracy rate for the shuffle random algorithm in randomizing the questions. The accuracy rate demonstrates that the shuffle random algorithm can effectively randomize the questions and is easy to implement.

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References

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ARTICLE Published HISTORY

Submitted Date: 2023-11-06
Accepted Date: 2023-11-09
Published Date: 2023-11-13

How to Cite

Askar, Pasnur, Asrul, Amiruddin, A., Resha, M. ., & Wijaya T, A. . (2023). Implementation of Random Shuffle Algorithm to Randomize Questions in Anti-Corruption Prevention Game. Brilliance: Research of Artificial Intelligence, 3(2), 244-251. https://doi.org/10.47709/brilliance.v3i2.3126