Pengembangan Modul Elektronik Fisika Berbasis Web dengan Pendekatan Computational Thinking pada Materi Momentum dan Impuls Kelas X SMA

Atina Rahmawati, Ahmad Fauzi, Elvin Yusliana Ekawati


This study aims to: explain the development procedure, feasibility, and characteristics of a web-based electronic module with a computational thinking approach on momentum and impulse material for class X SMA. The research method used is RnD (Research and Development) with a modified Borg and Gall development model until the seventh stage, namely the revision of the main product. Sources of research data were obtained from two experts, three reviewers, three peer reviewers, and 84 students. Qualitative data were taken through interviews and open questionnaires and then analyzed using the Miles and Huberman model. Quantitative data was taken through a closed questionnaire and then analyzed by descriptive analysis. Conclusions from this study: (1) the module development procedure was carried out with research and information gathering, planning, initial product development, initial field trials, initial product revisions, main field trials, and main field trial product revisions; (2) the feasibility of expert validation, reviewer and peer reviewer assessment, and field trials show that the developed electronic module meets the criteria very well; (3) the characteristics of the electronic module developed are using computational thinking learning flow which is equipped with picture and video illustrations, reflections, virtual labs, and practice questions with automatic feedback.


computational thinking; electronic module; momentum and impulse; development; web


Bebras. Tanpa tahun. Sejarah bebras indonesia. Diakses 21 Januari 2021 Pukul 22.40 WIB.

Borg, W.R., Gall, M.D. (1989). Educational research: an introduction. New York: Pitman Publishing Inc.

CSTA. (2011). Computational thinking teacher resources. National Science Foundation.

Dyne, MV., Braun, J. (2014). Effectiveness of a computational thinking (CS0) course on student analytical skills. SIGCSE ’14. Association for Computing Machinery, New York, NY, USA, 133-138.

Haines, S., dkk. (2019). The effects of computational thinking professional development on STEM teachers’ perceptions and pedagogical practices. Athens Journal of Science. 6(2): 97-122.

Ince, Elif. (2018). An Overview of problem solving studies in physics education. Journal of Education and Learning. 7(4): 191-200.

Lasry, N., dkk. (2009). Are most people too dumb for physics?. Journal The Physics Teacher. 47(10): 418-422.

Mesan, Tracy., dkk. (2020). Development and validation of unplugged activity of computational thinking in science module to integrate computational thinking in primary science education. Science Education International. 31(2): 142-149.

Ornek, F., dkk. (2007). What makes physics difficult?. Inernational Journal of Environment and Science Education. 18(3): 165-172.

Schwab, Klaus. (2016). The fourth industrial revolution: what it means, how to respond. Diakses 13 Januari 2020 pukul 16.43 WIB.

Solihudin JH, T. (2018). Pengembangan e-modul berbasis web untuk meningkatkan penccapatian kompetensi pengetahuan fisika pada materi listrik statis dan dinamis SMA. Jurnal Wahana Pendidikan Fisika. 3(2): 51-61.

Sobel, M. (2009). Physics for The non-scientist: a middle way. Journal The Physics Teacher. 47(6): 346-349.

Suroyoso., Nurrohman, S. (2014). Pengembangan modul elektronik berbasis web sebagai media pembelajaran fisika. Jurnal Kependidikan. 44(1): 73-82.

The United Nations Development Programme. (2018). Development 4.0: opportunities and challenges for accelerating progress towards the sustainable development goals in asia and the pacific. › sustainable-development. Diakses 13 Januari 2020 pukul 14.32 WIB.

Wing, J. M. (2006). Computational thinking. Journal Cominication of ACM 49(3): 33-35.


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