BAU, Yeni Yohana (2026) Penerapan Pendekatan Deep Learning untuk Meningkatkan Aktivitas dan Hasil Belajar Peserta Didik pada Materi Getaran dan Gelombang. Undergraduate thesis, Universitas Katolik Widya Mandira.
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Abstract
This study aims to determine the improvement in students’ learning activities and learning outcomes through the implementation of a deep learning approach on vibrations and waves topics. This study employed a quantitative approach using a One-Group Pretest–Posttest research design. The research subjects were eighthgrade students of SMPK St. Agustinus Adisucipto Penfui. The instruments used were a learning activity questionnaire and a learning outcomes test. The data were analyzed using descriptive statistics and the N-Gain test to measure the improvement in learning outcomes. The results showed that the implementation of the deep learning approarch was able to improve student’s learning activities on the indicators of deep understanding, application, critical thinking, collaboration, communication, and reflection. Among the six indicators, collaboration Obtained the highest score, with 87,10 in the first meeting and 90,32 in the second meeting. In addition, student’s learning outcomes also inreased after the implementation of the deep learning approach, with an average pretest score of 37,20, which increased 82,36 in the posttest, resulting in an N-Gain value 0,71 in the high category. Therefore, it can be concluded that the deep learning approach can improve students’s learning activities and learning outcomes on vibration and wave topics
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Deep Learning Approach, Lerning Activies, Learning Outcomes, Vibrations and Waves |
| Subjects: | L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools Q Science > QC Physics |
| Divisions: | Fakultas Keguruan dan Ilmu Pendidikan > Program Studi Pendidikan Fisika |
| Depositing User: | Yeni Yohana Bau |
| Date Deposited: | 18 May 2026 00:16 |
| Last Modified: | 18 May 2026 00:16 |
| URI: | http://repositori.unwira.ac.id/id/eprint/24602 |
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