Penerapan Metode Quiz untuk Meningkatkan Pemahaman Konsep dan Hasil Belajar Peserta Didik pada Mata Pelajaran Fiqih di MTs Tanwirul Qulub

Authors

  • Ilal Hilaliah Universitas Islam Jakarta
  • Rohiman Rohiman Universitas Islam Jakarta
  • Sudirman Rudiansyah Universitas Islam Jakarta
  • M. Calvin Habibin Universitas Islam Jakarta
  • Sayid Qutub Universitas Islam Jakarta

DOI:

https://doi.org/10.55849/attasyrih.v11i1.304

Keywords:

Metode Quiz, Fiqih, Hasil Belajar

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya pemahaman konsep dan hasil belajar peserta didik dalam mata pelajaran fiqih yang disebabkan oleh pendekatan pembelajaran konvensional dan minimnya keterlibatan aktif siswa. Guru sering kali berperan dominan dalam pembelajaran, sementara siswa menjadi pasif dalam memahami materi keagamaan yang kompleks. Dibutuhkan metode pembelajaran yang lebih menarik, interaktif, dan efektif untuk meningkatkan pemahaman siswa terhadap materi fiqih. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penerapan metode quiz terhadap peningkatan pemahaman konsep dan hasil belajar peserta didik pada mata pelajaran fiqih di MTs Tanwirul Qulub. Penelitian ini juga bertujuan untuk melihat efektivitas metode quiz sebagai bagian dari strategi pembelajaran aktif yang menyenangkan dan membangun pemahaman secara bertahap. Penelitian ini menggunakan metode kuantitatif dengan desain quasi eksperimen. Populasi penelitian adalah siswa kelas VIII, dengan sampel dibagi menjadi kelompok eksperimen dan kelompok kontrol. Instrumen yang digunakan berupa soal pre-test dan post-test. Teknik analisis data dilakukan melalui uji-t dan perhitungan gain score untuk melihat peningkatan yang signifikan. Hasil penelitian menunjukkan bahwa metode quiz mampu meningkatkan pemahaman konsep dan hasil belajar siswa secara signifikan dibandingkan dengan metode pembelajaran konvensional. Perbedaan rata-rata nilai post-test dan gain score antara kelompok eksperimen dan kontrol mengindikasikan efektivitas metode ini dalam pembelajaran fiqih. Kesimpulan dari penelitian ini adalah bahwa metode quiz efektif diterapkan untuk memperkuat proses pembelajaran fiqih. Metode ini memberikan pengalaman belajar yang lebih aktif, reflektif, dan menyenangkan. Temuan ini memperluas pendekatan pembelajaran pendidikan agama Islam ke arah yang lebih inovatif dan partisipatif.

References

Alam, A. (2022). Employing Adaptive Learning and Intelligent Tutoring Robots for Virtual Classrooms and Smart Campuses: Reforming Education in the Age of Artificial Intelligence. Dalam R. N. Shaw, S. Das, V. Piuri, & M. Bianchini (Ed.), Advanced Computing and Intelligent Technologies (Vol. 914, hlm. 395–406). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-2980-9_32

Askin, S., Burkhalter, D., Calado, G., & El Dakrouni, S. (2023). Artificial Intelligence Applied to clinical trials: Opportunities and challenges. Health and Technology, 13(2), 203–213. https://doi.org/10.1007/s12553-023-00738-2

Gabajiwala, E., Mehta, P., Singh, R., & Koshy, R. (2022). Quiz Maker: Automatic Quiz Generation from Text Using NLP. Dalam P. K. Singh, S. T. Wierzcho?, J. K. Chhabra, & S. Tanwar (Ed.), Futuristic Trends in Networks and Computing Technologies (Vol. 936, hlm. 523–533). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5037-7_37

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216

Hanif, A., . H., Mudinillah, A., & Rahmi, P. W. L. (2023). Development of the QUIZIZZ Platform as an Interactive Quiz-Based Learning Media for Arabic Language Lessons at Madrasah IBTIDAIYAH. International Journal of Membrane Science and Technology, 10(2), 372–384. https://doi.org/10.15379/ijmst.v10i2.1207

Hasbiyallah, H., Duran, B. N., & Suhendi, S. (2024). Indonesian Fiqh in Higher Education: A Pathway to Moderate and Inclusive Islamic Values. Jurnal Pendidikan Islam, 10(1), 149–162. https://doi.org/10.15575/jpi.v10i1.26151

Heitmann, S., Grund, A., Fries, S., Berthold, K., & Roelle, J. (2022). The quizzing effect depends on hope of success and can be optimized by cognitive load-based adaptation. Learning and Instruction, 77, 101526. https://doi.org/10.1016/j.learninstruc.2021.101526

Hoch, C. C., Wollenberg, B., Lüers, J.-C., Knoedler, S., Knoedler, L., Frank, K., Cotofana, S., & Alfertshofer, M. (2023). ChatGPT’s quiz skills in different otolaryngology subspecialties: An analysis of 2576 single-choice and multiple-choice board certification preparation questions. European Archives of Oto-Rhino-Laryngology, 280(9), 4271–4278. https://doi.org/10.1007/s00405-023-08051-4

Huang, H.-Y., Broughton, M., Cotler, J., Chen, S., Li, J., Mohseni, M., Neven, H., Babbush, R., Kueng, R., Preskill, J., & McClean, J. R. (2022). Quantum advantage in learning from experiments. Science, 376(6598), 1182–1186. https://doi.org/10.1126/science.abn7293

Huang, S.-C., Pareek, A., Jensen, M., Lungren, M. P., Yeung, S., & Chaudhari, A. S. (2023). Self-supervised learning for medical image classification: A systematic review and implementation guidelines. Npj Digital Medicine, 6(1), 74. https://doi.org/10.1038/s41746-023-00811-0

Javaid, M., Haleem, A., Pratap Singh, R., Suman, R., & Rab, S. (2022). Significance of machine learning in healthcare: Features, pillars and applications. International Journal of Intelligent Networks, 3, 58–73. https://doi.org/10.1016/j.ijin.2022.05.002

Kavitha, T., Mathai, P. P., Karthikeyan, C., Ashok, M., Kohar, R., Avanija, J., & Neelakandan, S. (2022). Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images. Interdisciplinary Sciences: Computational Life Sciences, 14(1), 113–129. https://doi.org/10.1007/s12539-021-00467-y

L?z?roiu, G., Andronie, M., Iatagan, M., Geam?nu, M., ?tef?nescu, R., & Dijm?rescu, I. (2022). Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things. ISPRS International Journal of Geo-Information, 11(5), 277. https://doi.org/10.3390/ijgi11050277

Lees, J., Banas, J. A., Linvill, D., Meirick, P. C., & Warren, P. (2023). The Spot the Troll Quiz game increases accuracy in discerning between real and inauthentic social media accounts. PNAS Nexus, 2(4), pgad094. https://doi.org/10.1093/pnasnexus/pgad094

Lu, X., Fan, S., Houghton, J., Wang, L., & Wang, X. (2023). ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–18. https://doi.org/10.1145/3544548.3580957

Maftuhin, A. (2024). Islamic Law, Disability, and Women in Indonesia: The Cases of Nahdlatul Ulama and Muhammadiyah. Journal of Disability & Religion, 28(1), 13–27. https://doi.org/10.1080/23312521.2023.2255860

Nogueira, A. R., Pugnana, A., Ruggieri, S., Pedreschi, D., & Gama, J. (2022). Methods and tools for causal discovery and causal inference. WIREs Data Mining and Knowledge Discovery, 12(2), e1449. https://doi.org/10.1002/widm.1449

Oktaviani, A. E., & Istikomah, I. (2023). Manajemen Pembelajaran Fiqih Dengan Media Youtube Untuk Meningkatkan Minat Belajar Siswa. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 4(3), 581–589. https://doi.org/10.31538/munaddhomah.v4i3.528

Oprea, S., Martinez-Gonzalez, P., Garcia-Garcia, A., Castro-Vargas, J. A., Orts-Escolano, S., Garcia-Rodriguez, J., & Argyros, A. (2022). A Review on Deep Learning Techniques for Video Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(6), 2806–2826. https://doi.org/10.1109/TPAMI.2020.3045007

Roganovi?, J. (2024). Familiarity with ChatGPT Features Modifies Expectations and Learning Outcomes of Dental Students. International Dental Journal, 74(6), 1456–1462. https://doi.org/10.1016/j.identj.2024.04.012

Sharma, S., Guleria, K., Tiwari, S., & Kumar, S. (2022). A deep learning based convolutional neural network model with VGG16 feature extractor for the detection of Alzheimer Disease using MRI scans. Measurement: Sensors, 24, 100506. https://doi.org/10.1016/j.measen.2022.100506

Tanjung, R. F., Ritonga, A. A., & Yahfizham, Y. (2022). The Effect of Using Edmodo Learning Media and Learning Motivation on Fiqih Learning Outcomes. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 3(2), 203–211. https://doi.org/10.31538/munaddhomah.v3i2.266

Wekerle, C., Daumiller, M., & Kollar, I. (2022). Using digital technology to promote higher education learning: The importance of different learning activities and their relations to learning outcomes. Journal of Research on Technology in Education, 54(1), 1–17. https://doi.org/10.1080/15391523.2020.1799455

Wulandari, W. (2024). Iddah of Women Who Had Abortus in The Book of Mughni al-Muhtaj and Mukhtashar Khalil in Perspective of Maqashid Shari’ah. Jurnal Ilmiah Mizani: Wacana Hukum, Ekonomi Dan Keagamaan, 8(1), 1. https://doi.org/10.29300/mzn.v8i1.2695

Yang, C., Li, J., Zhao, W., Luo, L., & Shanks, D. R. (2023). Do Practice Tests (Quizzes) Reduce or Provoke Test Anxiety? A Meta-Analytic Review. Educational Psychology Review, 35(3), 87. https://doi.org/10.1007/s10648-023-09801-w

Yoo, J. E., Rho, M., & Lee, Y. (2022). Online Students’ Learning Behaviors and Academic Success: An Analysis of LMS Log Data From Flipped Classrooms via Regularization. IEEE Access, 10, 10740–10753. https://doi.org/10.1109/ACCESS.2022.3144625

Zhang, B., Shi, H., & Wang, H. (2023). Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare, Volume 16, 1779–1791. https://doi.org/10.2147/JMDH.S410301

Zhang, Q., Guo, Z., Zhu, Y., Vijayakumar, P., Castiglione, A., & Gupta, B. B. (2023). A Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services. Pattern Recognition Letters, 168, 31–38. https://doi.org/10.1016/j.patrec.2023.02.026

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Published

2025-06-17

How to Cite

Hilaliah, I., Rohiman, R., Rudiansyah, S., Habibin, M. C., & Qutub, S. (2025). Penerapan Metode Quiz untuk Meningkatkan Pemahaman Konsep dan Hasil Belajar Peserta Didik pada Mata Pelajaran Fiqih di MTs Tanwirul Qulub. At-Tasyrih: Jurnal Pendidikan Dan Hukum Islam, 11(1), 284–297. https://doi.org/10.55849/attasyrih.v11i1.304