تطبيق استخدام موقع الترجمة الالكترونية في كتاب كاشفة السجا لطلبة قسم تعليم اللغة العربية

Authors

  • Rezzi Arasid Universitas Islam Negeri Sumatera Utara Medan, Indonesia
  • Zulheddi Zulheddi Universitas Islam Negeri Sumatera Utara Medan, Indonesia

DOI:

https://doi.org/10.59548/hbr.v3i2.817

Keywords:

Web-Based Translator, Machine Translation, Arabic Language Learning

Abstract

The development of digital technology has encouraged the use of web-based translation tools in Arabic language learning. This study aims to analyze the use of web-based translators by 2024 cohort students of the Arabic Language Education Study Program at UIN Sumatera Utara and to assess the quality of their translation outputs. This study employed a descriptive qualitative approach using interviews, observation, and documentation for data collection. The data were analyzed using the Miles, Huberman, and Saldaña model, while translation quality was assessed based on Nababan’s model through the aspects of accuracy, acceptability, and readability. The findings show that students use web-based translators to search for vocabulary, understand Arabic texts, complete assignments, and verify translations. ChatGPT produced the translation closest to the reference text, followed by Copilot Search and Bing Microsoft Translator, while Yandex Translate showed several meaning errors. The use of web-based translators is beneficial for Arabic language learning, but it should be accompanied by proficiency in Nahwu, Sharaf, and translation skills.

References

AbdulmalikAli, M. (2020). Quality and Machine Translation: An Evaluation of Online Machine Translation of English into Arabic Texts. Open Journal of Modern Linguistics, 10. https://doi.org/10.4236/ojml.2020.105030

Abidah, N. K. K., Hikmawati, R., & Erawanto, V. (2024). ChatGPT in Indonesia-Arabic Translation: A Quality Analysis. Al-Arabi: Journal of Teaching Arabic as AForeign Language. https://doi.org/http://dx.doi.org/10.17977/um056v8i1p33-52

Afrinal, H. (2025). Interview Mahasiswa Stambuk 2024.

Al-Haidar, F. (2025). Interview Mahasiswa Stambuk 2024.

AlAfnan, M. A. (2025). Large Language Models as Computational Linguistics Tools: A Comparative Analysis of ChatGPT and Google Machine Translations. Journal of Artificial Intelligence and Technology. https://doi.org/https://doi.org/10.37965/jait.2024.0549

Alfitri, A., Zakaria, G. A. N., Misran, M., & Nurdianto, T. (2025). Indonesian–Arabic Academic Translation Quality: A Comparative Content Analysis of ChatGPT and Google Translate. Ta’lim Al-’Arabiyyah: Jurnal Pendidikan Bahasa Arab & Kebahasaaraban, 9. https://doi.org/https://doi.org/10.15575/jta.v9i2.51510

Almusharraf, A., & Bailey, D. (2023). Machine translation in language acquisition: A study on EFL students’ perceptions and practices in Saudi Arabia and South Korea. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.1285

Alzain, E., Nagi, K. A., & AlGobaei, F. (2024). The Quality of Google Translate and ChatGPT English to Arabic Translation The Case of Scientific Text Translation. Forum for Linguistic Studies, 06(03). https://doi.org/https://doi.org/10.30564/fls.v6i3.6799

Dinata, R. S., Mizan, A. N., Budiarti, M., & Husna, I. (2024). Web-Based Google Translate Inconsistencies in Bahasa-Arabic Translations from the ‎Arabic Thesis Writer’s Perspective. Asalibuna, 7. https://doi.org/10.30762/asalibuna.v7i02.2634

Fawwaz Aqib. (2025). Interview Mahasiswa Stambuk 2024.

Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative Data Analysis: An Expanded Sourcebook (2nd ed.). SAGE Publications (H. Salmon (ed.); 3rd ed.). SAGE Publications, Inc. https://ia803100.us.archive.org/0/items/spradleyanalisisdatakualitatifmodeletnografi/Matthew_Miles%2C_Michael_Hberman%2C_Johnny_Sdana-Qualitative_Data_Analysis__A_Methods_Sourcebook-Sage_%282014%29%5B1%5D.pdf

Morin, K. H., Barbin, F., Moreau, F., Toudic, D., & Phuez-Favris, G. (2017). Translation in Transition Between cognition, computing and technology. john benjamins publishing company. https://doi.org/10.1075/btl.133

Nababan, M., Nuraeni, A., & Sumardiono. (2012). PENGEMBANGAN MODEL PENILAIAN KUALITAS TERJEMAHAN. Kajian Lingistik Dan Sastra, 24. https://www.academia.edu/79181073/Pengembangan_Model_Penilaian_Kualitas_Terjemahan

Omar, L. I. (2021). The Use and Abuse of Machine Translation in Vocabulary Acquisition among L2 Arabic-Speaking Learners. AWEJ for Translation & Literary Studies, 5(1). https://doi.org/http://dx.doi.org/10.24093/awejtls/vol5no1.6

Rizky, M. (2025). Interview Mahasiswa Stambuk 2024.

Sidiq, U., & Miftachul Choiri, M. (2019). Metode Penelitian Kualitatif di Bidang Pendidikan (A. Mujahidin (ed.); 1st ed.). CV. Nata Karya. https://repository.iainponorogo.ac.id/484/1/METODE PENELITIAN KUALITATIF DI BIDANG PENDIDIKAN.pdf

Sugiyono. (2023). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Sutopo (ed.); 5th ed.). ALFABETA BANDUNG. https://online.fliphtml5.com/cyqfr/jppo/#p=2

Syaikh Muhammad Nawawi bin Umar Al-Jawi Al-Bantani. (n.d.). كَاشِفَةُ الشَّجَا شَرْحُ سَفِيْنَةِ النَّجا. https://www.alkhoirot.org/2022/08/terjemah-kitab-kasyifatus-saja.html

Zuhri, M. I. I. (2022). Terjemah Kasyifatus Saja Syarah Safinatun Naja. Al-Khoirot.org. https://www.alkhoirot.org/2022/08/terjemah-kitab-kasyifatus-saja.html#dl

Downloads

Published

2026-08-24

How to Cite

Arasid, R., & Zulheddi, Z. (2026). تطبيق استخدام موقع الترجمة الالكترونية في كتاب كاشفة السجا لطلبة قسم تعليم اللغة العربية. Jurnal Al-Hibru, 3(2), 188–206. https://doi.org/10.59548/hbr.v3i2.817