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All Journal Litera Khazanah Pendidikan Al Ishlah Jurnal Pendidikan Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat RETORIKA: Jurnal Bahasa, Sastra, dan Pengajarannya Resona : Jurnal Ilmiah Pengabdian Masyarakat Journal on Education SASTRANESIA: Jurnal Program Studi Pendidikan Bahasa dan Sastra Indonesia KOMPUTIKA - Jurnal Sistem Komputer Jambura Journal of Community Empowerment JP-BSI (Jurnal Pendidikan Bahasa dan Sastra Indonesia) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Literasi : Jurnal Bahasa dan Sastra Indonesia serta Pembelajarannya Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Multilingual Didaktik : Jurnal Ilmiah PGSD STKIP Subang INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia Madaniya Rambideun : Jurnal Pengabdian Kepada Masyarakat Jurnal Sinestesia Jurnal Riset dan Inovasi Pembelajaran Edu Cendikia: Jurnal Ilmiah Kependidikan Alinea: Jurnal Bahasa, Sastra dan Pengajaran Tamaddun J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Innovative: Journal Of Social Science Research DIDAKTIS: Jurnal Pendidikan Bahasa dan Sastra Indonesia JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Intisari: Jurnal Inovasi Pengabdian Masyarakat KOPEMAS
Umar Mansyur
Universitas Muslim Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Conceptual operation strategies of artificial intelligence metaphors in Indonesian mass media: A cognitive linguistic study Mansyur, Umar; Jufri
LITERA Vol. 24 No. 3: LITERA (NOVEMBER 2025)
Publisher : Faculty of Languages, Arts, and Culture Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/ltr.v24i3.83275

Abstract

This study aims to analyze the conceptual operation strategy of artificial intelligence (AI) metaphors in Indonesian mass media using cognitive linguistic studies. This research uses a qualitative approach with Christopher Hart’s Cognitive Linguistic–Critical Discourse Studies (CL-CDS) analysis method. Data sources came from online mass media articles that have a major influence on public opinion in Indonesia. Data were collected using documentation study techniques and analyzed using four CL-CDS strategies, namely structural configuration, framing, identification, and positioning. The results indicate that AI metaphors in mass media not only frame the way humans perceive AI capabilities and functions but also reflect the ideology and power behind current technological developments. This demonstrates the use of technological ideologies to support an agenda that enlarges society’s dependence on technological systems controlled by large corporations or the state while reinforcing existing power structures. This research contributes to providing insights for media practitioners, policymakers, and academics on the effective use of metaphors in conveying information about AI while considering its ideological and social impacts. Future research recommendations include analyzing the role of social media in framing AI, as well as investigating the ethics and social impact of AI discourse in the mass media.
PENGARUH BAHASA DAERAH TERHADAP POLA KOMUNIKASI MAHASISWA FAKULTAS SASTRA UNIVERSITAS MUSLIM INDONESIA Rahmat Rahmat; Umar Mansyur
INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia Volume 1 Number 3 October 2020
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/indonesia.v1i3.15189

Abstract

The Influence of Regional Language on Communication Patterns of Students of the Faculty of Letters, Muslim University of Indonesia. This study aims to examine the description of regional language and its effect on student communication patterns. This type of research is quantitative research with regression techniques using a questionnaire instrument. The research data was sourced from students of the 2019 Indonesian Language and Literature Study Program. The number of samples was 59 people using descriptive statistical data analysis techniques and inferential statistics. The results showed that the local language had a significant influence on student communication patterns.
Deep Learning Approach in Argumentative Writing to Improve Critical Thinking and Rhetorical Structure Anita Candra Dewi; Umar Mansyur; Baharman Baharman; Usman Usman
DIDAKTIS : Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol 4 No 1 (2026): DIDAKTIS: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Publisher : Fakultas Sastra, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/didaktis.v4i1.1071

Abstract

This study aims to analyze the effect of the application of a deep learning approach in a argumentative writing instruction on the critical thinking skills and the quality of the rhetorical structure of students' writing in the Indonesian Language and Literature Education Study Program at Universitas Negeri Makassar. This study used a quantitative approach with a quasi-experimental design involving two groups, namely the experimental class and the control class. The research sample consisted of 70 students consisting of 35 students in the experimental class and 35 students in the control class. Data collection techniques were carried out through argumentative writing tests and critical thinking ability tests carried out at the pretest and posttest stages. The data obtained were analyzed using inferential statistical analysis through an independent sample t-test. The results of the study showed that the application of the deep learning approach had a significant effect on improving students' argumentative writing skills. This was indicated by an increase in the average score in the experimental class which was higher than the control class. In addition, students in the experimental class showed better abilities in compiling the rhetorical structure of the text, which includes claims, reasons, evidence, and conclusions more systematically. The findings of this study indicate that the deep learning approach can encourage students to think more critically and develop arguments more logically and structured in academic writing. Thus, this approach can be an effective learning strategy to improve the quality of writing learning in higher education.
Co-Authors Abd Majid Agusriyanto, Agusriyanto Ahmad Fuad Ansyari* Akmal Hamsa Andi Hudriati Andi Puspitasari Anita Candra Dewi As'ad, Ihwana Asman Asman Aulia Annisa Awaluddin Syamsu Ayinun Mardhiati Baharman Baharman Daris, Mega Asfirawati Dewi Gita Dolly Indra Hesti Tahir Ihramsari Akidah Ihramsari Akidah Ihramsari Akidah Akidah Indah Sari, Nurul Juanda*, Juanda Jufri Julfahnur Kasma F. Amin lilis nurhayati Lutfi Budi Ilmawan, Lutfi Budi Marhani Muhajir Muhajir Muhammad Syahril Sabirin Muin, Nurmiah Muli Umiaty Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Nisdayanti Nisdayanti Nofitasari Nurfadia Nurfathana Mazhud Nurmiah Muin Nurul Istiqamah R., Mantasiah Rabiah, Sitti Rahmat Rahmat Rahmat Rahmat Ramdan Satra Rizkariani Sulaiman Rusdiah Rusdiah Sari, Nurul Indah Sitti Rahmawati Sitti Rahmawati Sulaiman, Rizkariani Sulastri Sulastri Taufik Hidayat Usman Usman Waode Fitriyan Suri