Dynamics of Arabic-to-Indonesian Machine Translation on Social Media: A Content Analysis of Al Jazeera Channel

Afif Al Habib; Muhammad Azhar

doi:10.58737/jpled.v6i3.1654

Authors

Afif Al Habib Institut Imam Syafii Indonesia
Muhammad Azhar Institut Imam Syafii Indonesia

DOI:

https://doi.org/10.58737/jpled.v6i3.1654

Keywords:

Machine Translation, Facebook, Arabic-Indonesian, Al Jazeera, Translation Quality

Abstract

In the current era of globalization, translation plays a pivotal role in bridging cross-linguistic and cross-cultural communication across all sectors. The essence of translation lies in conveying the meaning and intent of the source language into the target language using equivalents that are accurate, clear, and natural. This research offers both theoretical and practical benefits. Theoretically, it is expected to enhance insights and scholarly discourse regarding the quality of Arabic-Indonesian machine translation on social media platforms. A descriptive qualitative method was employed in this study to collect and analyze descriptive data in the form of linguistic phenomena. By utilizing documentation and content analysis techniques on five news posts from the "Al Jazeera Channel" Facebook account, this study successfully interpreted the quality of machine translation as it occurs naturally. Based on the analysis of the machine-translated texts, the results indicate that the translation quality is categorized as less accurate with an average score of 2.2, less acceptable with a score of 2.0, and possesses a moderate level of readability with a score of 2.4. These issues stem from fatal lexical errors, contextually inappropriate word choices, and deviations from standard Indonesian grammatical rules. The conclusion of the analysis of machine translation on the "Al Jazeera Channel" Facebook account shows that the quality is less accurate, less acceptable, and moderately readable, necessitating a profound evaluation, particularly regarding diction selection and conformity with linguistic standards.

Downloads

Download data is not yet available.

References

Anggi Pramudika. (2023). Penerjemahan Otomatis Pada Facebook Dan Instagram : Sebuah Analisis Penerjemahan Otomatis Pada Facebook Dan Instagram : Sebuah Analisis.

Badriyah, L., Magister, P., Agama, I., Islam, U., & Walisongo, N. (2023). Kesalahan Linguistik Pada Penerjemahan Teks ( Arab-Indonesia ) Melalui Google Translate Dan Bing Translator.

Badan Pengembangan dan Pembinaan Bahasa. (2016). Kamus Besar Bahasa Indonesia (KBBI) Daring. Jakarta: Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia.

Badan Pengembangan dan Pembinaan Bahasa. (2016). Pedoman Umum Ejaan Bahasa Indonesia (PUEBI). Jakarta: Kementerian Pendidikan dan Kebudayaan.

Hansen, D. (2020). Automated News Translation: Challenges and Opportunities in Neural Machine Translation. Journal of Specialized Translation.

Hartono, R. (2017). Pengantar Ilmu Menerjemah ( Teori dan Praktek penerjemahan ).

Islahiyah, S., & Juhriyah, I. (2022). Analisis Kesepadanan Makna Pada Fitur Terjemah Arab-Indonesia Di Instagram (Teori Newmark). 1, 1–10.

Kurniawan, A., Yusuf, T., & Tantowi, A. (2024). Intensitas Penggunaan Google Translate Dalam Penerjemahan Dikalangan Mahasiswa. 5, 16–24.

Marhamah, A., Marliana, I., Ibrahim, H., & Nasution, S. (2025). Analisis Kesalahan Linguistik Dalam Penerjemahan Teks Bahasa Arab Pada Google Translate. 07(01), 122–136.

Munawwir, A. W. (1997). Kamus Al-Munawwir Arab-Indonesia Terlengkap. Pustaka Progressif

Nababan, M. R., Nuraeni, A., & Sumardiono. (2012). Pengembangan Model Penilaian Kualitas Terjemahan. Kajian Linguistik dan Sastra.

Patriarca, M., & Magnusson, B. (2014). Understanding the meaning of accuracy , trueness and precision. October 2007. https://doi.org/10.1007/s00769-006-0191-z

Pratama, R., & Fitria, T. N. (2024). Kualitas Keberterimaan Bahasa pada Mesin Penerjemah Neural: Tantangan dan Solusi. Jurnal Bahasa dan Sastra Indonesia

Rahmah, D. (2016). Penilaian Kualitas Terjemahan dari Aspek Keterbacaan dalam Al Qur ’ an Al Karim Terjemahan Bebas Bersajak dalam Bahasa Aceh.

Randa, R. (2022). Adapun kajian analisisnya hanya memfokuskan pada kajian morfologis Kata Kunci : google translate, syair ilaika, morfologis. 3(1), 1–11.

Riza, N. (2024). Akurasi Hasil Terjemah Novel “Imra’ah 'Inda Nuqṭati Aṣ-Ṣifr” Dengan Website “Deepl Translator.” 2, 173–177.

Riza, M. (2024). Dampak Kesalahan Terjemahan Istilah Politik terhadap Persepsi Publik. Jurnal Ilmu Komunikasi dan Media.

Ruhmadi, A., Zaka, M., & Farisi, A. (2023). Analisis Kesalahan Morfologi Penerjemahan Arab – Indonesia pada ChatGPT. 4(1), 56–75. https://doi.org/10.37680/aphorisme.v4i1.3148

Sobari, D. (2020). Analisis Penerjemahan Teks Berbahasa Arab dalam Buku Mahfuzhat : 20(2), 97–112.

Suryani, E. (2023). Sintaksis dan Rasa Bahasa: Evaluasi Keberterimaan Teks Hasil Terjemahan Mesin. Jurnal Pendidikan Bahasa

Umbar, K., Adilah, A., Romadona, R. R., & Rafli, M. (2023). Analisis Akurasi Penerjemahan Bahasa Arab Lewat Fitur Auto Translate pada Aplikasi Twitter. 5(1), 21–33. https://doi.org/10.47435/naskhi.v5i1.1460

Wisnu Setya Budi, F. A. S. (2020). Analisis Kualitas Terjemahan Teks Bahasa Jepang Ke Bahasa Indonesia Dengan Bing Translator. 4.

Zahara, R., Nurhuda, Z., Tarjamah, P., Adab, F., Humaniora, D., & Hidayatullah, U. I. N. S. (2024). Analisis Kualitas Terjemahan Otomatis Subtitle Pada Channel Youtube ( Indo4arab Khalid Nahdi ). 1(4).