Development of Physics E-Module Based on Deep Learning Approach on Alternative Energy.

This study aims to develop a physics e-module based on deep learning approach on alternative energy that is valid, practical, and effective for senior high school. The type of research used was research and development (R&D) with four-D model research procedures, namely define, design, develop, and, disseminate. In this study, the initial analysis was conducted through questionnaires and interviews with the physics teacher. The data obtained were then analyzed to determine the validity, practicality, and effectiveness of the e-module develop. To asses the validity of the module two material experts and one media expert were involved, while to find out the practicality level, 34 students and one physics teacher were given their evaluation. Futhermore, the effectiveness of the modul was assessed using the N-Gain calculation. The results show that the validation score was 87,75 % (very valid category), while the practicality test scored 93,66 % (very practical category). Meanwhile, the effect of the physics e-module is also quite significant, with the results of the t-test 17,84>2,04 and the N-Gain Calculation producing a score of 0,714. Therefore, the use of the deep learning approach-based physics e module is appropriate to improve student’s learning outcomes.