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Penerjemahan Adaptasi Zahratu Al-Birsim Karya Kamil Kailani Rasyidah, Rifat; Saehudin, Akhmad; Ismail, Achmad Satori; Suparno, Darsita; al-Rawafi, Abdulkhaleq
`A Jamiy : Jurnal Bahasa dan Sastra Arab Vol 13, No 2 (2024): Kajian Bahasa dan Sastra Arab
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/ajamiy.13.2.657-670.2024

Penelitian ini bertujuan untuk mendeskripsikan penerjemahan karya sastra anak bergenre cerita binatang (fabel), metode penerjemahan yang digunakan, dan kualitas terjemahan cerita fabel tersebut ke dalam bahasa Indonesia. Metode penelitian yang digunakan adalah metode penelitian deskriptif kualitatif. Objek penelitian yang digunakan adalah cerita anak Zahratu Al-Birsim Karya Kamil Kailani. Hasilnya menunjukkan bahwa cerita anak Zahratu Al-Birsim memiliki banyak amanat pada setiap bagian dalam ceritanya. Beberapa strategi penerjemahan yang digunakan pada cerita anak tersebut meliputi strategi menambahkan, menghapus, mengganti, dan mengedepankan dan mengakhirkan. Strategi yang digunakan tersebut dapat mempertahankan gaya bahasa cerita anak dalam bahasa asal dan menghasilkan terjemahan dapat berterima oleh pembaca sasaran.

Enhancing the Translation Quality of ChatGPT in Educational News: A Technique-Based Study on Adengad.Net Widowati, Dewi; Mubarak, Muhammad Zacky; Saehudin, Akhmad; Abshar, Ulil; Suparno, Darsita
Langkawi: Journal of The Association for Arabic and English Vol. 11 No. 1 (2025)
Publisher : Institut Agama Islam Negeri (IAIN) Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/lkw.v11i1.10684

The purpose of this study is to describe the translation techniques used in translating educational news on Adengad.Net as an effort to improve the quality of ChatGPT translation results. Along with the development of technology and the increasing need for accurate and efficient translation. The method used is qualitative method by using the theory of translation techniques by Molina Albir and the theory of translation quality by Nababan. This study evaluates the improvement of translation quality, context accuracy, as well as text readability and acceptability. The analysis of 10 education news on Adengad.Net channel found 8 out of 18 translation techniques classified by Molina and Albir, with literal equivalence and modulation being the most frequently used techniques at 31 and 22 times respectively. The evaluation of translation quality involving three students of the Tarjamah study program recorded an accuracy score of 2.53, acceptability of 2.37, and readability of 2.47, with a final weighted average of 2.47. The findings show that the translations produced by ChatGPT are generally accurate, acceptable and comprehensible. This study can broaden the knowledge of the application of translation techniques in visual media and provide practical guidance for translation practitioners and enthusiasts.

The Dynamics of Communication in Ruqyah Sharia on Youtube: A Pragmatics Analysis of Interactions between Ustadz and the Patients Suparno, Darsita; Saehudin, Akhmad; Nurhuda, Zam Zam; Lutfi, Mukhamamd; Maharani, Sabrina; Mahfudhoh, Vina Ulva
Muslim English Literature Vol. 2 No. 1 (2023): Muslim English Literature
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mel.v2i1.28519

This study aims to identify linguistic expressions on utterances used in communication during ruqyah sharia happening. It is conducted using a pragmatic perspective and the descriptive qualitative method in analyzing data. Data from this research got from Youtube during the treatment of ruqyah sharia. This study used maxim theory to test the use of the cooperative principles among them during ruqyah sharia so we can get a system of the cooperative principle which is violated or obeyed by them. Based on findings and discussion, it can be seen the following. There are some conversations which violated by Ustadz and the patient conversation. There are about 2% violated the maxim of manner, 8% violated the maxim of relation, 5% violated the maxim of quality, and 3% violated the maxim of quantity. Some conversations are obeyed, namely 40 % obeyed the maxim of manner, 16 % obeyed the maxim of relation, 34% obeyed the maxim of quality, and 10 % obeyed the maxim of quantity. Based on these findings, it can be concluded that in ruqyah sharia, the theory of Grice (1975) about the cooperative principle can be tested in the use of the cooperative principle between ustadz and patients in the Indonesian context. Although the patient did not aware of his conversation, he can make good cooperative principles with Ustadz so the conversation can go smoothly and both speakers understand their conversation.

Pemakaian Metafora dalam Teks Terjemahan Novel Chicago Karya Alaa aL-Aswany Mahfudhoh, Vina Ulfa; S, Darsita; Abdullah, Abdullah; Saehudin, Akhmad; Fathalah, Fathalah Mohammed
JILSA (Jurnal Ilmu Linguistik dan Sastra Arab) Vol. 8 No. 1 (2024): April
Publisher : Fakultas Adab dan Humaniora UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jilsa.2024.8.1.18-30

Metafora termasuk gaya bahasa yang sering digunakan oleh pengarang dalam karya sastranya, tak terkecuali dalam novel. Metafora menjadi gaya bahasa yang menarik dikaji dalam bidang kajian linguistik. Penelitian ini bertujuan menelaah gaya bahasa metafora dalam novel Chicago karya Alaa al-Aswany melalui keterkaitan antara unsur struktural dalam novel tersebut. Penelitian ini termasuk dalam penelitian deskriptif kualitatif. Sumber data yang digunakan dalam penelitian ini ialah teks terjemahan novel Chicago. Metode pengumpulan data dalam penelitian ini menggunakan metode simak dengan teknik kepustakaan. Sementara metode analisis data dalam penelitian ini menggunakan metode deskriptif dengan mendeskripsikan data temyan yang terdapat dalam novel Chicago karya Alaa al-Aswany. Fokus kajian dalam penelitian ini ialah gaya bahasa metafora yang ditinjau dari teori Koveces. Hasil penelitian menemukan tujuh tipe perbandingan, empat tipe metafora konseptual, tiga tipe visual tentang fisik manusia,visual alam dan visual benda dan tiga tipe perbandingan makna.

Digital Religious Discourse: Constructing Legitimacy and Counter-Narratives in Islami.co Ats Tsaqofi, Waki; Satori, Achmad; Mahmudah, Sarah Hajar; Saehudin, Akhmad; Abshar, Ulil; Li, Wenhua
Mimbar Agama Budaya Vol. 42 No. 1 (2025)
Publisher : Center for Research and Publication (PUSLITPEN), UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mimbar.v42i1.48924

Digital controversies around Al-Māʾidah 5:51 and the Ahok case have sharpened struggles over Qur’anic authority in Indonesia’s public sphere. This article examines how the progressive portal Islami.co constructs religious legitimacy and counter-narratives in this context. Using qualitative critical discourse analysis, it analyzes fourteen opinion and expository articles on verse politicization, Qur’an translation, and digital daʿwah, applying Fairclough’s three-dimensional model and van Leeuwen’s legitimation categories. The study finds three mechanisms of legitimation: (1) semantic reframing of key terms such as awliyāʾ/wali; (2) intertextual authority through selective use of classical tafsīr, fiqh, and contemporary scholarship; and (3) moral evaluation foregrounding justice, maṣlaḥah, and plural coexistence. These strategies underwrite counter-narratives that decouple voting for non-Muslim leaders from accusations of betrayal, critique terjemahisme and post-truth uses of state translations, and oppose Islam marah with an ethic of Islam ramah. The findings show how progressive Islamic counter-publics linguistically contest conservative monopolies over Qur’anic discourse.

Measuring the Technique and Quality of Instagram Caption Auto-Translation to Improve @alarabiya Account Translation Results Serinastity, Gelsya; Mubarok, M. Zacky; Saehudin, Akhmad; Suparno, Darsita; Fathalah, Fathalah Mohamed
AL-TA'RIB : Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya Vol 13 No 2 (2025)
Publisher : Institut Agama Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/altarib.v13i2.10410

The increasing use of machine translation (MT) on social media poses challenges for cross-linguistic and cross-cultural understanding, as these systems often fail to capture contextual meaning and cultural nuances. This study analyzes the techniques and quality of MT in social media content, an area with limited prior research. Using a qualitative-descriptive method, the study evaluates captions from Instagram @alarabiya by applying Molina & Albir's (2002) translation technique theory and Nababan's (2012) translation quality assessment scale. Analysis of 18 data samples revealed the dominance of the literal translation technique (27.27%). The quality assessment yielded average scores below the 'adequate' category in readability (μ=2.24), acceptability (μ=2.43), and accuracy (μ=2.50) on a 1-5 scale. These findings confirm the limitations of MT in processing informative texts rich in cultural context, resulting in outputs that tend to be difficult to understand, less acceptable, and inaccurate. This study highlights the urgency of enhancing cultural sensitivity in MT development and the importance of user literacy in critically engaging with automated translation outputs on digital platforms.

Measuring the Technique and Quality of Instagram Caption Auto-Translation to Improve @alarabiya Account Translation Results Gelsya Serinastity; M. Zacky Mubarok; Akhmad Saehudin; Darsita Suparno; Fathalah Mohamed Fathalah
AL-TA'RIB : Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya Vol 13 No 2 (2025)
Publisher : Universitas Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/altarib.v13i2.10410

The increasing use of machine translation (MT) on social media poses challenges for cross-linguistic and cross-cultural understanding, as these systems often fail to capture contextual meaning and cultural nuances. This study analyzes the techniques and quality of MT in social media content, an area with limited prior research. Using a qualitative-descriptive method, the study evaluates captions from Instagram @alarabiya by applying Molina & Albir's (2002) translation technique theory and Nababan's (2012) translation quality assessment scale. Analysis of 18 data samples revealed the dominance of the literal translation technique (27.27%). The quality assessment yielded average scores below the 'adequate' category in readability (μ=2.24), acceptability (μ=2.43), and accuracy (μ=2.50) on a 1-5 scale. These findings confirm the limitations of MT in processing informative texts rich in cultural context, resulting in outputs that tend to be difficult to understand, less acceptable, and inaccurate. This study highlights the urgency of enhancing cultural sensitivity in MT development and the importance of user literacy in critically engaging with automated translation outputs on digital platforms.

Kualitas Terjemahan Artificial Intelligence: Studi Komparatif Keberterimaan Terjemahan Deepseek AI dan Claude AI pada Teks Akademik Berbahasa Arab Akhmad Saehudin; Adira Syahputri; Anjani Aulia Maharani; Dinda Julia
Vol. 3 No. 2 (2025): Special Issue: Cultural Resilience and Digital Literacy for a Diverse Society 349-368
Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to test the quality of Artificial Intelligence translation by comparing the translation results of DeepSeek AI and Claude AI on Arabic academic texts. The selected academic document is an abstract text as the core of a scientific work that concisely explains the main topic, purpose or focus, methods, main findings, and conclusions. This research uses a qualitative descriptive approach with the data corpus sourced from the International Journal for Scientific Research entitled “الفرق بين معاني مترادف القرآن الكريم بين المعانين والغالين” by Abdul Mohsen Zaben Mutab al-Matiri and Mujahid Mustafa Bahjat. The theory used in this study is Mangatur Nababan's translation quality theory. The results of this study show that DeepSeek AI is superior in translating Arabic scientific terms into Indonesian with an acceptability rate of 2.8 compared to Claude AI which has an acceptability rate of 2.2. This study contributes to showing how well artificial intelligence, especially Claude AI and DeepSeek AI can produce translations of academic texts that are acceptable to the target audience, with strict scientific language standards

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