The implementation of the depth-first search algorithm on learning computer assembly 3D simulations in vocational education

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Abstract

Games and simulations have become one of the most effective learning models. This study aims to implement the Depth-first Search Algorithm on 3D simulation learning models on computer assembly skills. The development framework uses Luther's multimedia development model. The object of this study was 40 vocational high school teachers in West Java. Technology acceptance model (TAM) is used as a framework to measure attitudes towards teacher acceptance of the learning model developed. The measurement results, Perceived Ease of Use (PEOU) has a significant effect on Perceived Usefulness (PU) of 68.2%, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) have a significant effect on Attitude Towards Using Technology (ATUT) of 86.5%, Perceived Usefulness (PU) and Attitude Towards Using Technology (ATUT) significantly influence Behavioural Intention to Use (BITU) of 86.7%. Perceived Usefulness (PU) and Attitude Towards Using Technology (ATUT) significantly influence Behavioural Intention to Use (BITU) of 81.2%.

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APA

Trinadi, A., Gerhana, Y. A., & Syaripudin, U. (2019). The implementation of the depth-first search algorithm on learning computer assembly 3D simulations in vocational education. In Journal of Physics: Conference Series (Vol. 1402). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1402/7/077002

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