<![CDATA[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.]]>
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