@phdthesis{repoupi134451,
           month = {April},
          school = {Universitas Pendidikan Indonesia},
            year = {2025},
            note = {ID SINTA Dosen Pembimbing
Maman Abdurahman: 257947
Nalahuddin Saleh: 6746413},
           title = {Exploring AI Capabilities in Arabic Grammar: 
Comparative Analysis of ChatGPT and Gemini},
          author = {Amanda Resti Maulidiya, - and Maman Abdurahman, - and Nalahuddin Saleh, -},
        abstract = {This study aims to compare the performance of ChatGPT and Gemini in 
analyzing i'r{\=a}b Marf{\^u}'{\^a}t al-Asm{\^a}'', a critical aspect of Arabic grammar for 
determining the grammatical roles of words in sentences. The analysis uses 11 
examples from the book Mulakhash Qaw{\^a}'id al-Lugah al-'Arabiyyah by Fuad 
Ni'mah, focusing on identifying grammatical components such as mubtada', 
khabar, isim ashbah, isim k{\=a}da, khabar inna, f{\=a}'il, n{\=a}'ib al-f{\=a}'il, na'at, 'atf, tawkid, and 
badal. The study employs the Mann-Whitney test to assess statistical 
significance and the Cosine Similarity Index (CSI) to measure semantic 
similarity. Results show that ChatGPT outperforms Gemini with a significant 
value of 0.019, while the CSI score of 0.800 indicates high similarity between 
the models' outputs. ChatGPT excels in providing detailed and accurate 
analyses, while Gemini is more suitable for concise answers but may lack 
precision. These findings highlight the unique strengths of each model and 
underscore the necessity of manual correction to ensure the accuracy and 
relevance of results, particularly in technology-based Arabic grammar learning.},
        keywords = {ChatGPT, Gemini, Generative AI, I'r{\^a}b analyzing},
             url = {https://repository.upi.edu/}
}