Pemanfaatan Natural Language Processing (NLP) untuk Analisis Kesalahan Tata Bahasa Arab Nahwu dan Sharaf pada Skripsi Mahasiswa
DOI:
https://doi.org/10.62730/qismularab.v5i01.318Abstract
This study explores the use of Natural Language Processing (NLP) to analyze Arabic grammar errors (Nahwu and Sharaf) in undergraduate theses at STAI Syaichona Moh. Cholil Bangkalan. Employing a qualitative approach, the research identifies errors using NLP algorithms such as MADAMIRA and Farasa. Findings reveal a high frequency of fundamental errors in i'rab, subject-predicate agreement, and morphological word changes (fi'il). The application of NLP proved to be more efficient, consistent, and objective than time-consuming manual evaluations. While effective, the technology still faces limitations in processing highly complex sentence contexts. This research recommends integrating NLP tools into the curriculum to improve students' academic writing quality.
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