Analisis Akurasi I‘rab Struktur Kalimat Bahasa Arab pada Output Artificial Intelligence ChatGPT: Studi Mixed Methods
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Abstract
The increasing use of ChatGPT as a source for learning Arabic requires a critical evaluation of the accuracy of the grammatical analysis it produces. This study aims to analyze the accuracy and precision of i‘rab in Arabic sentences generated by ChatGPT. This research employed a mixed methods approach with a sequential exploratory design. The data consisted of 12 sentences with variations in syntactic structure, collected purposively and analyzed through content analysis. The qualitative analysis revealed errors in complex structures, such as al-bina’ lil-majhul, multi-maf‘ul, uslub syarṭ, istifham, as well as taqdim–ta’khir and i‘rab taqdir. The errors also included incorrect identification of fa’il, inaccuracies in i‘rab markers, and inconsistencies in wording. The quantitative results showed an accuracy rate of 46.81% (44/94), indicating that ChatGPT is fairly capable of recognizing basic nahwu patterns. However, these findings indicate that the use of ChatGPT at the basic level may actually risk instilling conceptual errors. Therefore, ChatGPT cannot replace classical nahwu references and must be used critically and verified with authoritative sources.
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References
Abdul Hamid, M. M. (2010). At-Tuhfah As-Saniyyah Syarh Al-Muqoddimah Al-Ajurrumiyyah (1st ed.). Dar Al-Musthofa.
Abdurrohman, R., & Sopian, A. (2023). Peran Madzhab Basrah dalam Pengembangan Ilmu Nahwu: Tinjauan pada Kitab al-Muyassar karya Aceng Zakaria. Ukazh: Journal of Arabic Studies, 4(1), 119–131.
Ahmad, J. (2018). Desain penelitian analisis isi (Content analysis). Jurnal Analisis Isi.
Anas, I., & Zakir, S. (2024). Artificial intelligence: Solusi pembelajaran era digital 5.0. J-SAKTI (Jurnal Sains Komputer Dan Informatika), 8(1), 35–46.
Azhar, M., Yolanda, D., Frananda, A., Saputra, M. R., Mulyani, R., & Nurdinah, S. (2025). Revolusi pembelajaran bahasa Arab di era digital: Analisis peran Artificial Intelligence dalam pengembangan kompetensi berbahasa. Al-Ma’Lumat: Jurnal Ilmu-Ilmu Keislaman, 3(2), 58–81.
Ibn Muhammad Al-Khatib, A. (2008). Mukhtashor Al-Khatib Fi Ilmi Al-Tashrif (1st ed.). Maktabah Dar Al-Urubah Li Al-Nasyr Wa Al-Tawzi’.
Ibnu Aqil, B. A. (2018). Syarh Ibnu ’Aqil ’Ala Alfiyah Ibnu Malik (1st ed.). Dar An-Nafais Li An-Nasyr Wa At-Tawzi’.
Ibnu Hisyam, A. M. A. J. (2024). Syarh Qotrunnada Wa Balla Ash-Shoda (1st ed.). Al-Busholah Li An-Nasyr Wa At-Tawzi’.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications.
Lutfiyatun, E., Kurniati, D., & Fajriah, N. (2023). Pemanfaatan Artificial Intelligence (AI) Dalam Meningkatkan Kompetensi Pembelajaran Gramatikal, Tarjamah dan Muhadatsah Di Perguruan Tinggi. Seulanga, 2(2), 93–105.
Machali, I. (2021). Metode penelitian kuantitatif (panduan praktis merencanakan, melaksanakan, dan analisis dalam penelitian kuantitatif). Fakultas Ilmu Tarbiyah dan Keguruan Universitas Islam Negeri (UIN) Sunan ….
Majid, M. N., Akmaliyah, A., & Hermawan, M. B. (2024). Perbandingan Hasil Terjemah Arab–Indonesia Antara ChatGPT dan Gemini AI. Ihtimam: Jurnal Pendidikan Bahasa Arab, 7(02), 1–21.
Maulidiya, A. R., Abdurrahman, M., & Saleh, N. (2024). Exploring AI Capabilities in Arabic Grammar: Comparative Analysis of ChatGPT and Gemini. Arabiyat: Journal of Arabic Education & Arabic Studies/Jurnal Pendidikan Bahasa Arab Dan Kebahasaaraban, 11(2).
Mufid, M., & Muassomah, M. (2025). Integrating artificial intelligence in speaking skill development: Teachers’ perceptions at an Indonesian Islamic university. Alsinatuna: Journal of Arabic Linguistics and Education, 10(2), 223–237.
Nasaruddin, N. (2024). Using ChatGPT in Teaching Arabic as a Foreign Language. Arabiyatuna: Jurnal Bahasa Arab, 8(1 May), 1–24.
Ni’mah, F. (n.d.). Mulakhos Qowaid Al-Lughah Al-Arabiyyah. Al-Alamiyah Li Ats-Tsaqofah Ad-Dauliyah.
Nirwanto, R., & Wahdah, N. (2025). Metode Inovatif Dalam Pembelajaran Bahasa ArabSystematic Literature Review. Ukazh: Journal of Arabic Studies, 6(3), 386–403.
Qudsiyah, M., Sofa, A. R., & Sugianto, M. (2025). Analisis Konseptual dan Aplikatif I ‘rab dalam Sintaksis Bahasa Arab: Studi Komparatif antara Teori Nahwu Klasik dan Pendekatan Linguistik Modern. Pragmatik: Jurnal Rumpun Ilmu Bahasa Dan Pendidikan, 3(3), 175–187.
Rahmadani, N. S., Asyah, N., azmi Saragih, N., & Hutasuhut, D. H. (2025). Pengaruh Layanan Bimbingan Kelompok Teknik Assertive Training Terhadap Interaksi Sosial Siswa Smk Nur Azizi Tanjung Morawa TA 2024/2025. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(03), 290–297.
Rahman, N. F., Yasiron, A. M., Roziqi, M. A., & Ilmiani, A. M. (2025). Minat Mahasiswa Menggunakan ChatGPT dalam Pembelajaran Bahasa Arab: Studi pada Mahasiswa PBA UINSI Samarinda. Borneo Journal of Language and Education, 5(1), 155–168.
Rahmawati, S. U., Aisyah, S. N., Mufidza, S., & Umbar, K. (2024). Analisis Konten Instagram@ alazharcenterpare dalam Pembelajaran Bahasa Arab Online. Ukazh: Journal of Arabic Studies, 5(1), 20–30.
Saimin, A. A., Supriadi, R., & Al Farisi, M. Z. (2024). Analisis Kesalahan Penerjemahan Teks Bahasa Indonesia ke dalam Bahasa Arab pada ChatGPT (Studi Analisis Morfologi dan Sintaksis). Jurnal Naskhi Jurnal Kajian Pendidikan Dan Bahasa Arab, 6(2), 1–12.
Saleh, Z., Murtadlo, N., Rosyidi, A. W., & Hidayah, E. Z. (2024). The Analysis of Arabic Learning Error in Student of Madrasah Tsanawiyah. AL-ISHLAH: Jurnal Pendidikan, 16(3), 4096–4107.
Saputra, Y. S., & Ghofur, A. (2025). Keakuratan Claude Dalam Mengidentifikasi Kedudukan Dan I’râb Studi Komparatif Dengan Kitab Syarh Al-Kafrâwî. EL-FUSHA: Jurnal Bahasa Arab Dan Pendidikan, 6(1), 42–67.
Siyam, F. F., Hidayat, R., Rochmat, C. S., Maulaya, R. D., Avilya, A., & Maulidi, M. B. (2024). Accuracy Analysis of Artificial Intelligence in Arabic Language Translation and Grammatical Rule Mapping. Jurnal Al Bayan: Jurnal Jurusan Pendidikan Bahasa Arab, 16(2), 558–576.
Sulaikho, S., Hudatullah, R., & Amalia, D. R. (2023). Kesalahan Chatgpt dalam Interpretasi Mubtada’dan Khabar pada Struktur Bahasa Arab. Cordova Journal Language and Culture Studies, 13(2), 25–38.
Tabone, W., & De Winter, J. (2023). Using ChatGPT for human–computer interaction research: a primer. Royal Society Open Science, 10(9), 231053.