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All Journal Ar Rosyad : Jurnal Keislaman dan sosial humaniora Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK)
Abas, Adzrah Dwi Sunarty
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Religion Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Engineering Social Sciences

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Perbandingan Hasil Terjemahan Bahasa Arab Ke Bahasa Indonesia Dalam Penggunaan Chatgpt Dan Deepl Translator Abas, Adzrah Dwi Sunarty; Saniyah, Bahjatun; Azalia Yusri Filza, Luna; Aliyyah Salsabilah, Yasmin
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 2 No. 6 (2025): IDENTIK - November
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v2i6.844

Abstract

This research is motivated by the fact that developments in artificial intelligence technology have brought significant progress in the field of language translation, particularly from Arabic to Indonesian. However, the quality of translation results across platforms remains an interesting topic for study, particularly between ChatGPT and DeepL Translator, which both use AI-based models but with different approaches. The purpose of this study was to compare the quality of Arabic-to-Indonesian translations between ChatGPT and DeepL Translator. This research used a descriptive qualitative approach with a comparative study. Data were obtained through the translation of a number of Arabic texts selected through purposive sampling, consisting of common sentences, idioms, and cultural expressions. Translations were evaluated based on accuracy of meaning, readability, and contextual appropriateness. The results show that ChatGPT tends to produce translations that are communicative, contextual, and easily understood by Indonesian readers, while DeepL Translator is more literal and maintains the structure of the source language. ChatGPT excels in texts containing idioms and cultural nuances because it can adapt meaning to the context, while DeepL Translator is better suited for official documents or formal texts that require consistent sentence structure.
Relevansi Hadis tentang Ghibah terhadap Fenomena Ujaran Kebencian di Media Sosial: Analisis Tematik dan Etika Digital Muslim Abas, Adzrah Dwi Sunarty; Nasrulloh
AR ROSYAD: Jurnal Keislaman dan Sosial Humaniora Vol. 4 No. 1 (2025): Hadis and Philosophy
Publisher : LPPM IAI Hasanuddin Pare-Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55148/8j2dh169

Abstract

This study examines the relevance of prophetic teachings on ghibah or backbiting in addressing the rising phenomenon of hate speech on social media. The research uses a qualitative library based design supported by thematic analysis to examine primary hadith sources and contemporary scholarly discussions. The findings show that ghibah in the digital age appears in new forms such as public shaming, mocking comments, cyberbullying, and the rapid circulation of unverified information, all of which correspond to the moral concerns presented in hadith literature. The study also reveals that integrating hadith based ethics with digital literacy, particularly the principle of tabayyun or information verification, provides a constructive moral framework for reducing harmful online behavior. In conclusion, this research emphasizes that prophetic ethics offer conceptual insight as well as practical guidance for fostering responsible, respectful, and ethical digital conduct among Muslim users.
Co-Authors Aliyyah Salsabilah, Yasmin Azalia Yusri Filza, Luna Nasrulloh Saniyah, Bahjatun