Pembelajaran Berbasis Diskusi Sebagai Upaya Meningkatkan Hasil Belajar Siswa Kelas X dalam Materi Energi

Authors

  • Muhammad Ichsan Rafi Alimuddin Universitas Sebelas Maret
  • Revalina Zulfalhutfi Syafi'ah Universitas Sebelas Maret
  • Muhammad Lazuardi Oktario Nugraha Universitas Sebelas Maret
  • Raihan Muflikh Prabowo Universitas Sebelas Maret

DOI:

https://doi.org/10.47134/physics.v1i2.480

Keywords:

Metode Diskusi, Hasil Belajar, Minat Fisika

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas metode pembelajaran berbasis diskusi dalam meningkatkan pemahaman dan hasil belajar siswa pada materi energi dalam fisika. Dilakukan di MAN 1 Surakarta dengan subjek 4 siswa kelas X perempuan. Pre-test menunjukkan rata-rata nilai 40,25, meningkat menjadi 70,0 setelah penerapan metode diskusi. Respons siswa terhadap metode ini positif. Metode diskusi memungkinkan siswa untuk berbagi pengetahuan dan mengidentifikasi berbagai kemungkinan, serta mendorong keterlibatan aktif dalam pembelajaran. Hasil post-test menunjukkan peningkatan signifikan dalam pemahaman konsep. Metode ini memberikan solusi bagi siswa yang mengalami kesulitan belajar serta meningkatkan hasil belajar dalam fisika. Metode diskusi efektif dalam mengatasi tantangan dalam pembelajaran fisika, memungkinkan siswa untuk bertukar ide, memperdebatkan perspektif, dan membangun pemahaman yang mendalam tentang materi. Kesimpulannya, metode pembelajaran berbasis diskusi bermanfaat untuk meningkatkan hasil belajar siswa dan minat mereka terhadap fisika.

References

Alsoufi, A. (2020). Impact of the COVID-19 pandemic on medical education: Medical students’ knowledge, attitudes, and practices regarding electronic learning. PLoS ONE, 15(11). https://doi.org/10.1371/journal.pone.0242905 DOI: https://doi.org/10.1371/journal.pone.0242905

Andersson, G. (2019). Internet-delivered psychological treatments: from innovation to implementation. World Psychiatry, 18(1), 20–28. https://doi.org/10.1002/wps.20610 DOI: https://doi.org/10.1002/wps.20610

Angelopoulos, V. (2019). The Space Physics Environment Data Analysis System (SPEDAS). Space Science Reviews, 215(1). https://doi.org/10.1007/s11214-018-0576-4 DOI: https://doi.org/10.1007/s11214-018-0576-4

Antonopoulos, I. (2020). Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review. Renewable and Sustainable Energy Reviews, 130. https://doi.org/10.1016/j.rser.2020.109899 DOI: https://doi.org/10.1016/j.rser.2020.109899

Berg, S. (2019). ilastik: interactive machine learning for (bio)image analysis. Nature Methods, 16(12), 1226–1232. https://doi.org/10.1038/s41592-019-0582-9 DOI: https://doi.org/10.1038/s41592-019-0582-9

Deta, U. A., & Suprapto, N. (2012). Pembelajaran Fisika Model Diskusi Ditinjau dari Kecerdasan Intrapersonal Siswa. Jurnal Penelitian Fisika Dan Aplikasinya (JPFA), 2(1), 30–36. DOI: https://doi.org/10.26740/jpfa.v2n1.p30-36

Ferri, F. (2020). Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, 10(4). https://doi.org/10.3390/soc10040086 DOI: https://doi.org/10.3390/soc10040086

Gari, A. (2023). PENERAPAN METODE PEMBELAJARAN DISKUSI DALAM MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN PPKn DI SMA SWASTA KAMPUS TELUKDALAM KELAS XI MIA-B. CIVIC SOCIETY RESEARCH and EDUCATION: Jurnal Pendidikan Pancasila Dan Kewarganegaraan, 4(1), 42–51.

Hadija, H., Kapile, C., & Juraid, J. (2017). Penerapan Metode Diskusi Untuk Meningkatkan Hasil Belajar Murid Kelas IV Pada Mata Pelajaran IPS di SDN No. 2 Tamarenja Kecamatan Sindue Tobata. Jurnal Kreatif Tadulako, 4(8), 108273.

Hamilton, W. L. (2020). Graph Representation Learning Hamilton. Synthesis Lectures on Artificial Intelligence and Machine Learning, 14(3), 1–159. https://doi.org/10.2200/S01045ED1V01Y202009AIM046 DOI: https://doi.org/10.2200/S01045ED1V01Y202009AIM046

Hasan, N. (2020). Impact of “e-Learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss.” Children and Youth Services Review, 118. https://doi.org/10.1016/j.childyouth.2020.105355 DOI: https://doi.org/10.1016/j.childyouth.2020.105355

Kumar, D. P. (2019). Machine learning algorithms for wireless sensor networks: A survey. Information Fusion, 49, 1–25. https://doi.org/10.1016/j.inffus.2018.09.013 DOI: https://doi.org/10.1016/j.inffus.2018.09.013

Latifah, L. (2013). Metode Diskusi Kelompok Berbasis Inkuiri Untuk Meningkatkan Hasil Belajar Fisika Di Sma. Jurnal Ilmiah Guru Caraka Olah Pikir Edukatif, 1.

Ma, J. (2021). Image Matching from Handcrafted to Deep Features: A Survey. International Journal of Computer Vision, 129(1), 23–79. https://doi.org/10.1007/s11263-020-01359-2 DOI: https://doi.org/10.1007/s11263-020-01359-2

Murdoch, W. J. (2019). Definitions, methods, and applications in interpretable machine learning. Proceedings of the National Academy of Sciences of the United States of America, 116(44), 22071–22080. https://doi.org/10.1073/pnas.1900654116 DOI: https://doi.org/10.1073/pnas.1900654116

Oztemel, E. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. https://doi.org/10.1007/s10845-018-1433-8 DOI: https://doi.org/10.1007/s10845-018-1433-8

Pollock, A. (2020). Interventions to support the resilience and mental health of frontline health and social care professionals during and after a disease outbreak, epidemic or pandemic: a mixed methods systematic review. Cochrane Database of Systematic Reviews, 2020(11). https://doi.org/10.1002/14651858.CD013779 DOI: https://doi.org/10.1002/14651858.CD013779

Sanga, L. D., & Wangdra, Y. (2023). Pendidikan Adalah Faktor Penentu Daya Saing Bangsa. Prosiding Seminar Nasional Ilmu Sosial Dan Teknologi (SNISTEK), 5, 84–90. DOI: https://doi.org/10.33884/psnistek.v5i.8067

Subiki, S., Hamidy, A. N., Istighfarini, E. T., Suharsono, F. Y. H., & Putri, S. F. D. (2022). Pengaruh Media Pembelajaran Phet Simulation Terhadap Hasil Belajar Siswa SMA Negeri Plus Sukowono Materi Usaha dan Energi Tahun Pelajaran 2021/2022. ORBITA: Jurnal Pendidikan Dan Ilmu Fisika, 8(2), 200–204. DOI: https://doi.org/10.31764/orbita.v8i2.9586

Tian, H. (2020). Computer vision technology in agricultural automation —A review. Information Processing in Agriculture, 7(1), 1–19. https://doi.org/10.1016/j.inpa.2019.09.006 DOI: https://doi.org/10.1016/j.inpa.2019.09.006

Unke, O. T. (2021). Machine Learning Force Fields. Chemical Reviews, 121(16), 10142–10186. https://doi.org/10.1021/acs.chemrev.0c01111 DOI: https://doi.org/10.1021/acs.chemrev.0c01111

Wang, H. (2019). A review of deep learning for renewable energy forecasting. Energy Conversion and Management, 198. https://doi.org/10.1016/j.enconman.2019.111799 DOI: https://doi.org/10.1016/j.enconman.2019.111799

Wang, X. (2020). Convergence of Edge Computing and Deep Learning: A Comprehensive Survey. IEEE Communications Surveys and Tutorials, 22(2), 869–904. https://doi.org/10.1109/COMST.2020.2970550 DOI: https://doi.org/10.1109/COMST.2020.2970550

Zappone, A. (2019). Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both? IEEE Transactions on Communications, 67(10), 7331–7376. https://doi.org/10.1109/TCOMM.2019.2924010 DOI: https://doi.org/10.1109/TCOMM.2019.2924010

Zhou, Z. H. (2019). Deep forest. National Science Review, 6(1), 74–86. https://doi.org/10.1093/nsr/nwy108 DOI: https://doi.org/10.1093/nsr/nwy108

Downloads

Published

2024-06-04

How to Cite

Alimuddin, M. I. R., Syafi’ah, R. Z., Nugraha, M. L. O., & Prabowo, R. M. (2024). Pembelajaran Berbasis Diskusi Sebagai Upaya Meningkatkan Hasil Belajar Siswa Kelas X dalam Materi Energi. Journal of Physics Education and Science, 1(2), 7. https://doi.org/10.47134/physics.v1i2.480

Issue

Section

Articles

Similar Articles

You may also start an advanced similarity search for this article.