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All Journal ELT Worldwide: Journal of English Language Teaching Humano: Research Journal International Journal of Humanities and Innovation (IJHI) Khidmatuna : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Komunikasi dan Bahasa Seminar Nasional Pengabdian Kepada Masyarakat Dedikasi: Jurnal Pengabdian Kepada Masyarakat PERFORMANCE: JOURNAL OF ENGLSH EDUCATION AND LITERATURE PEDAMAS (Pengabdian Kepada Masyarakat) Journal of Humanities and Social Studies
Indrawaty Asfah
English Department, Faculty Of Languages And Literature, Universitas Negeri Makassar, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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PENGALAMAN MAHASISWA MENGGUNAKAN DEEPL AI DALAM MENERJEMAHKAN PROPOSAL PENELITIAN SERTA MANFAAT DAN TANTANGANNYA A. Aulia Nur Ilham; Lely Novia; Indrawaty Asfah
Humano: Jurnal Penelitian Vol 17 No 2 (2026): PERIODE NOVEMBER (ARTICLE IN PRESS)
Publisher : LPPM Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/humano.v17i2.13059

Abstract

This study examines students’ experiences of using DeepL AI for academic translation, particularly in relation to translating research proposals from Indonesian into English, with a focus on perceived benefits and challenges. A descriptive qualitative approach was employed, involving 22 students from the English Department, Faculty of Languages and Literature, Universitas Negeri Makassar, who had experience using DeepL for academic translation. Data were collected through an online questionnaire administered via Microsoft Forms, consisting of closed- and open-ended questions. Responses to the open-ended questions were analyzed using the interactive model of Miles, Huberman, and Saldaña through data condensation, data display, and conclusion drawing and verification. The findings show that DeepL helped students translate more efficiently, produce language they perceived as relatively natural, use academic vocabulary and style, understand English-language literature, and support academic writing and revision. However, students still encountered difficulties with specialized terminology and context-dependent meanings, requiring them to review and edit the translations. Technical limitations and the risk of overreliance on AI were also concerns. These findings highlight the need to develop students’ post-editing skills so that machine translation can be used critically and responsibly in academic work.
Co-Authors A. Aulia Nur Ilham A. Patimah Ramarh Apdy Andi Armawajidah Marzuki Dea Tonapa Demeter Janna Sabatini Fatimah Hidayahni Amin Fatmawati Akhmad Fitriyani Fitriyani Hanafie, Nurharsya Khaer Legiyo Legiyo Lely Novia Muhammad Asfah Rahman Nurdin Noni Riny Jefri Seny Luhriani Sri Rezky Arif Yunitari Mustikawati