Toleransi Beragama Melalui Dalil Al-Qur’an Dan Hadis
Keywords:
Hadith, Islamic Education, Qur’an, Religious ToleranceAbstract
This study is motivated by the importance of instilling religious tolerance values through understanding the Qur’an and Hadith in students’ daily lives. The purpose of this research is to analyze the implementation of religious tolerance values based on the Qur’an and Hadith. This study uses a qualitative method with a descriptive approach through observation, interviews, and documentation. The results show that religious tolerance values can be developed through understanding Qur’anic verses and Hadith that emphasize mutual respect, acceptance of differences, and peaceful coexistence. This implementation is reflected in students’ attitudes that become more open and respectful toward diversity. The conclusion indicates that understanding the Qur’an and Hadith plays an important role in shaping moderate and harmonious religious tolerance.
Abstrak
Penelitian ini dilatarbelakangi oleh pentingnya penanaman nilai toleransi beragama melalui pemahaman dalil Al-Qur’an dan Hadis dalam kehidupan peserta didik. Tujuan penelitian ini adalah untuk menganalisis implementasi nilai-nilai toleransi beragama berdasarkan dalil Al-Qur’an dan Hadis. Metode yang digunakan adalah penelitian kualitatif dengan pendekatan deskriptif melalui teknik observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa nilai toleransi beragama dapat ditanamkan melalui pemahaman ayat-ayat Al-Qur’an dan Hadis yang menekankan sikap saling menghargai, menghormati perbedaan, dan hidup berdampingan secara damai. Implementasi tersebut tercermin dalam sikap peserta didik yang lebih terbuka dan menghargai keberagaman. Simpulan penelitian ini adalah bahwa pemahaman dalil Al-Qur’an dan Hadis berperan penting dalam membentuk sikap toleransi beragama yang moderat dan harmonis.
References
Baden, L. R., El Sahly, H. M., Essink, B., Kotloff, K., Frey, S., Novak, R., Diemert, D., Spector, S. A., Rouphael, N., Creech, C. B., McGettigan, J., Khetan, S., Segall, N., Solis, J., Brosz, A., Fierro, C., Schwartz, H., Neuzil, K., Corey, L., … Zaks, T. (2021). Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine. New England Journal of Medicine, 384(5), 403–416. https://doi.org/10.1056/NEJMoa2035389
Buhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, 104724. https://doi.org/10.1016/j.tourman.2023.104724
Danecek, P., Bonfield, J. K., Liddle, J., Marshall, J., Ohan, V., Pollard, M. O., Whitwham, A., Keane, T., McCarthy, S. A., Davies, R. M., & Li, H. (2021). Twelve years of SAMtools and BCFtools. GigaScience, 10(2), giab008. https://doi.org/10.1093/gigascience/giab008
Feng, D.-C., Liu, Z.-T., Wang, X.-D., Chen, Y., Chang, J.-Q., Wei, D.-F., & Jiang, Z.-M. (2020). Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach. Construction and Building Materials, 230, 117000. https://doi.org/10.1016/j.conbuildmat.2019.117000
Fishell, G., & Kepecs, A. (2020). Interneuron Types as Attractors and Controllers. Annual Review of Neuroscience, 43(1), 1–30. https://doi.org/10.1146/annurev-neuro-070918-050421
Leach, M., Nisbett, N., Cabral, L., Harris, J., Hossain, N., & Thompson, J. (2020). Food politics and development. World Development, 134, 105024. https://doi.org/10.1016/j.worlddev.2020.105024
Levitt, P. (2023). The Transnational Villagers (1 ed.). University of California Press. https://doi.org/10.2307/jj.2711652
Niu, J., Liu, H., Jin, Y., Fan, B., Qi, W., & Ran, J. (2022). Comprehensive review of Cu-based CO2 hydrogenation to CH3OH: Insights from experimental work and theoretical analysis. International Journal of Hydrogen Energy, 47(15), 9183–9200. https://doi.org/10.1016/j.ijhydene.2022.01.021
Raya, Moch. K. F. (2025). Digital Islam: New space for authority and religious commodification among Islamic preachers in contemporary Indonesia. Contemporary Islam, 19(1), 161–194. https://doi.org/10.1007/s11562-024-00570-z
Tubishat, M., Ja’afar, S., Alswaitti, M., Mirjalili, S., Idris, N., Ismail, M. A., & Omar, M. S. (2021). Dynamic Salp swarm algorithm for feature selection. Expert Systems with Applications, 164, 113873. https://doi.org/10.1016/j.eswa.2020.113873
Whitehead, A. L., & Perry, S. L. (2020). Taking America Back for God: Christian Nationalism in the United States (1 ed.). Oxford University PressNew York. https://doi.org/10.1093/oso/9780190057886.001.0001
Wu, Q., Zhang, S., Zheng, B., You, C., & Zhang, R. (2021). Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial. IEEE Transactions on Communications, 69(5), 3313– 3351. https://doi.org/10.1109/TCOMM.2021.3051897
Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2021). Understanding deep learning (still) requires rethinking generalization. Communications of the ACM, 64(3), 107–115. https://doi.org/10.1145/3446776
Zonta, T., Da Costa, C. A., Da Rosa Righi, R., De Lima, M. J., Da Trindade, E. S., & Li, G. P. (2020). Predictive maintenance in the Industry 4.0: A systematic literature review. Computers & Industrial Engineering, 150, 106889. https://doi.org/10.1016/j.cie.2020.106889
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Nailul Husni, Nining Desriwanti, Nita Permata Sari, Muhamad Yahya

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.





