EFEKTIVITAS E-LEARNING BERBASIS (POQE) PREDICTION-OBSERVATION-QUIZ-EXPLANATION PADA KONSEP GLOBAL WARMING

EVA AULIA, . (2023) EFEKTIVITAS E-LEARNING BERBASIS (POQE) PREDICTION-OBSERVATION-QUIZ-EXPLANATION PADA KONSEP GLOBAL WARMING. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Salah satu model pembelajaran berbasis internet yang digunakan untuk memudahkan dalam menerima pengetahuan serta meningkatkan keterampilan siswa adalah e-learning. Berdasarkan analisis kebutuhan yang telah dilakukan kepada sejumlah siswa, sebanyak 92% siswa menyatakan penggunaan media pembelajaran membantu dalam memahami materi dan 77,3% memilih internet sebagai sumber belajar yang efektif dan paling sering digunakan. Penelitian ini bertujuan untuk menghasilkan e-learning berbasis POQE berbantuan Microsoft sway pada konsep global warming sebagai media pembelajaran yang efektif serta dapat diterapkan dalam pembelajaran fisika. Penelitian ini menggunakan metode penelitian Research and Development (RnD) dengan model pengembangan 4D. Penelitian ini menggunakan 2 kelas besar yaitu kelas kontrol dan kelas eksperimen yang masing-masing terdiri dari kelas XI dan XII SMA. Dalam penelitian ini menggunakan reliabilitas media Model rasch dengan pengolahan data berbantuan aplikasi Ministep, serta D’Cohen Formula untuk mengukur efektifitas dari e-learning yang dikembangkan. Uji reliabilitas penelitian ini menggunakan Rasch Model yang berasal dari data responden pengguna e-learning, didapatkan hasil 0,97 untuk kategori bagus sekali. Hasil penelitian diperoleh dengan melakukan uji effect-size dari data 2 kelas menggunakan D’Cohen Formula, didapatkan hasil 1,202 termasuk dalam kategori besar. Dengan demikian, dapat disimpulkan bahwa efektivitas e-learning berbasis (POQE) Prediction-Observation-Quiz-Explanation Pada Konsep Global warming yang telah dikembangan berbantuan Microsoft sway reliabel untuk digunakan sebagai media pembelajaran dengan hasil efektivitas besar. ***** One of the internet-based learning models that is used to make it easier to receive knowledge and improve student skills is e-learning. Based on the needs analysis that was carried out on a number of students, as many as 92% of students stated that the use of learning media helped in understanding the material and 77.3% chose the internet as an effective and most frequently used learning resource. This study aims to produce POQE-based e-learning assisted by Microsoft sway on the concept of global warming as an effective learning medium that can be applied in physics learning. This study uses the Research and Development (RnD) research method with the 4D development model. This study used 2 large classes, namely the control class and the experimental class, each consisting of class XI and XII SMA. In this study, the reliability of the Rasch Model media was used with data processing assisted by the Ministep application, as well as the D'Cohen Formula to measure the effectiveness of the developed e-learning. The reliability test of this study used the Rasch Model, which was derived from e-learning user respondent data. The result was 0.97 for the very good category. The research results were obtained by conducting an effect-size test from 2 class data using the D'Cohen Formula, the results obtained were 1.202 included in the large category. Thus, it can be concluded that the effectiveness of e-learning based on (POQE) Prediction-Observation-Quiz-Explanation on the Global warming Concept which has been developed with the help of Microsoft sway is reliable to be used as a learning medium with great effectiveness results.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Firmanul Catur Wibowo, M.Pd. ; 2). Dr. Hadi Nasbey, S.Pd., M.Si.
Subjects:	Pendidikan > Pendidikan Pendidikan > Teori, Penelitian Pendidikan Pendidikan > Media Pembelajaran Sains > Sains, Ilmu Pengetahuan Alam Sains > Fisika
Divisions:	FMIPA > S1 Pendidikan Fisika
Depositing User:	Users 19921 not found.
Date Deposited:	11 Sep 2023 04:36
Last Modified:	11 Sep 2023 04:36
URI:	http://repository.unj.ac.id/id/eprint/41238

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