Interaction Analysis Application of Arduino Industrial Automation Trainer Based on Project to Improve Cognitive Ability and The Bodily-Kinesthetic Ability

This research aims to determine the interaction/influence of the application of Arduino Industrial Automation trainer based on projects to enhance cognitive abilities and The Bodily-Kinesthetic abilities. college student This research is in the form of quantitative descriptive research. The sample used in this study is one class taken using Saturated Sampling techniques. The research class was treated by using a project-based Arduino Industrial Automation trainer. The independent variables in this study are project-based Arduino Industrial Automation trainer, while the dependent variable is cognitive abilities and The Bodily-Kinesthetic abilities.. There are 3 kinds of analysis techniques, namely instrument analysis techniques, prerequisite analysis techniques, and hypothesis analysis techniques. The measured research data are cognitive ability data and The Bodily-Kinesthetic ability data. The analysis of the hypothesis test of this study used the T-Test with a significance level of 5%. T-Test Criteria are as follows, Ho is accepted / H1 is rejected if T count is smaller than T table and Ho is rejected / H1 is accepted if T count is greater than T table. From the results of the instrumenT-test, namely the validation test, there are 75% questions stated valid. For the prerequisite test for the normality of cognitive abilities and The Bodily-Kinesthetic abilities on the pretest and posttest obtained L count < L table means the sample is normally distributed. For the prerequisite test for homogeneity of cognitive abilities and The Bodily-Kinesthetic abilities obtained F count < F table means the sample is homogeneous. The results of the T-test for the first dependent variable cognitive ability obtained T count = 24.41 and T table = 1.697, because T count is greater than T table then Ho1 is rejected, meaning that there is an interaction/influence of the implementation of the Arduino Industrial Automation trainer based on projects in improving cognitive abilities. While the results of the T-test for the dependent variable The Bodily-Kinesthetic ability obtained T count = 18.33 with T table = 1.697, because T count is greater than T table then Ho2 is rejected, it means that there is an interaction/influence of the application of the Arduino Industrial Automation trainer based on the project in increasing The Bodily-Kinesthetic abilities. So that it can be concluded that there is an interaction/influence of the application of the Arduino Industrial Automation trainer based on projects in improving cognitive abilities and The Bodily-Kinesthetic abilities.