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All Journal JMM (Jurnal Masyarakat Mandiri) Jurnal JOEPALLT (Journal of English Pedagogy, Linguistics, Literature, and Teaching) Jurnal Review Pendidikan dan Pengajaran (JRPP) Majalah Ilmiah Warta Dharmawangsa Reswara: Jurnal Pengabdian Kepada Masyarakat Continuous Education : Journal of Science and Research PEDAGOGI: Jurnal Ilmiah Pendidikan Excellence PUBLIDIMAS
Amaniarsih, Dwi Suci
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Excellence

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The Function of Code Mixing and Code Switching Uttered by Cinta Laura at Nebeng Boy William Youtube Channel Amaniarsih, Dwi Suci; Juliana2, Juliana; Asrul, Nurmahyuni; Ginting, Erwin
EXCELLENCE: Journal of English and English Education Vol 4 No 1 (2024): EXCELLENCE
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v4i1.824

Abstract

Code mixing and code switching prove effective in navigating communication complexities arising from participant’ diverse linguistic proficiency levels. This article assesss the role of code mixing and code switching in the dialogue featuring Cinta Laura Kiehl on Boy William’s Youtube Channel, dated 6th September 2021, the titled is “#Nebeng Boy eps 42”. Employing a qualitative descriptive approach, the study gathers written data from Cinta Laura’s interview on Boy William Youtube Channel and analyzes it using explanatory samples. Cinta Laura, a proficient bilingual communicator, demonstrates the absence of language dominance. Specifically, the dominant function of code mixing relates to linguistic challenges, while code switching primarily involves the ability to articulate in a specific language. These findings aim to contribute to students’ English lecturers, and sociolinguistic researchers, encouraging a deeper exploration of the purpose behind code mixing and code switching in conversations.
A The Function of Code Mixing and Code Switching Uttered by Cinta Laura ata Nebeng Boy William YouTube Channel: The Function of Code Mixing and Code Switching Uttered by Cinta Laura ata Nebeng Boy William YouTube Channel M. Hum, Juliana; Amaniarsih, Dwi Suci; Asrul, Nurmahyuni; Ginting, Erwin
EXCELLENCE: Journal of English and English Education Vol 4 No 1 (2024): EXCELLENCE
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v4i1.764

Abstract

Code mixing and code switcing prove effective in navigating communication complexities arising from participant’ diverse linguistic proficiency levels. This article assesss the role of code mixing and code switching in the dialogue featuring Cinta Laura Kiehl on Boy William’s Youtube Channel, dated 6th September 2021, the titled is “#Nebeng Boy eps 42”. Employing a qualitative descriptive approach, the study gathers written data from Cinta Laura’s interview on Boy William Youtube Channel and analyzes it using explanatory samples. Cinta Laura, a proficient bilingual communicator, demonstrates the absence of language dominance. Specifically, the dominant function of code mixing relates to linguistic challenges, while code switching primarily involves the ability to articulate in a specific language. These findings aim to contribute to students’ English lecturers, and sociolinguistic researchers, encouraging a deeper exploration of the purpose behind code mixing and code switching in conversations. Keywords: Sociolinguistics, Code Mixing, Code Switching
The Use of Contextual Teaching and Learning (CTL) in the Reading Course for English Education Students at Universitas Potensi Utama Medan Amaniarsih, Dwi Suci; Meisuri, Meisuri
EXCELLENCE: Journal of English and English Education Vol 4 No 2 (2024): EXCELLENCE
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v4i2.918

Abstract

This study aims to explore the use of the Contextual Teaching and Learning (CTL) approach in teaching the reading course among English Education students at Universitas Potensi Utama Medan. CTL emphasizes the connection between learning materials and real-life contexts, which is expected to enhance students' motivation and understanding of reading texts. The research method employed is descriptive qualitative, involving students and lecturers as respondents. Data were collected through interviews, classroom observations, and document analysis. The findings indicate that the implementation of CTL in reading instruction significantly increases student engagement, conceptual understanding, and their ability to analyze texts. Additionally, students reported feeling more motivated and capable of relating the material to their personal experiences. This study recommends a broader implementation of CTL within the English. Education curriculum to improve the quality of teaching and student learning outcomes.
A Comparative Study of Google Translate and DeepL in Translating Indonesian to English Among Informatics Engineering Students at Universitas Potensi Utama Medan Amaniarsih, Dwi Suci
EXCELLENCE: Journal of English and English Education Vol 5 No 1 (2025): EXCELLENCE
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v5i1.1192

Abstract

This study aims to compare the accuracy and effectiveness of Google Translate and DeepL in translating Indonesian texts into English, focusing on Informatics Engineering students at Universitas Potensi Utama. In an era where machine translation tools have become essential in academic and professional settings, understanding their strengths and limitations is crucial. Grounded in Newmark’s translation theory and supported by insights from neural machine translation research, this study employs a mixed-method approach, combining quantitative scoring of translation outputs and qualitative analysis of linguistic accuracy, context retention, and semantic coherence. The research findings reveal that DeepL generally outperforms Google Translate in preserving contextual meaning and producing grammatically accurate sentences, although Google Translate remains more familiar and accessible to students. The statistical analysis shows a significant difference in translation quality between the two tools (p < 0.05), while student interviews highlight DeepL's advantage in handling nuanced or academic texts. This research provides valuable insights for educators and learners in choosing appropriate translation tools, and offers implications for the integration of machine translation in language learning and academic writing.
Co-Authors Aprilia, Sarah Aritonang, Romaito asrul, nurmahyuni Damayanti, Erni Darmayanti, Erni Ginting, Erwin Ilvira, Muhsin Lambok Juliana Juliana Juliana2, Juliana Kartika, Fani Budi KHADAFI, MUHAMMAD Larasati Larasati M. Hum, Juliana Meisuri Revita Sari Sijabat, Erni Darmayanti Simatupang, Boby Daniel Siti Jubaidah, Siti Tarigan, Edi Kristianta Yunanda, Fachri