Penerapan metode box muller of Gaussian distribution untuk menentukan tingkat kesulitan pada game pembelajaran mitigasi bencana gunung api

Ihsan, Afif Nuril, Nugroho, Fresy ORCID: https://orcid.org/0000-0001-9448-316X and Arif, Yunifa Miftachul (2020) Penerapan metode box muller of Gaussian distribution untuk menentukan tingkat kesulitan pada game pembelajaran mitigasi bencana gunung api. Matics : Jurnal Ilmu Komputer dan Teknologi Informasi, 12 (1). pp. 36-43. ISSN 1978-161X(p); 2477-2550(e)

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Abstract

The difficulty level scenario in a game is an important component in making a game. In order for the game difficulty level scenario to be more challenging and not monotonous, the difficulty level scenario must be determined automatically or dynamically. In this study, the determination of the difficulty level scenario will be built with the Box Muller Of Gaussian Distribution method so that the difficulty level scenario can run automatically or dynamically so that the scenario can be chosen randomly and cannot be predicted by the player. In this study, the difficulty level scenario is used in the Volcano Disaster Mitigation Learning game to manage the difficulty of science problems that will appear at each level. In the testing phase, two tests will be conducted between the game of Volcano Disaster Mitigation Learning with the Box Muller Of Gaussian Distribution method and without the method. From this testing phase, it was found that the game using more varied methods in determining the level of difficult scenarios. In this testing phase, the ideal mean for the 4th-grade students is µ = 5.5. Then the validation stage will be used behavior validation by finding 5 students of 4th-grade elementary school to play the game. Of the 5 students who tried the game Volcano Disaster Mitigation Learning, the results showed that the first student had an average success of 71.11111%, the second student got 81.48148148%, the third student 79.16666667%, the fourth student 73.61111111%, and the fifth student 87.5%. From this study, it was concluded that the Box Muller of Gaussian Distribution managed to manage the difficulty level scenario dynamically or automatically.

Item Type:	Journal Article
Keywords:	behavior validation; box muller; dynamic difficulty level; game; Gaussian distribution
Subjects:	10 TECHNOLOGY > 1099 Other Technology > 109999 Technology not elsewhere classified
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Fresy Nugroho
Date Deposited:	23 Nov 2020 09:28

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