Claim Missing Document
Check
Articles

Found 23 Documents
Search

MEN’S LANGUAGE FEATURES USED IN THE NETFLIX SERIES “SEX EDUCATION”: SOCIOLINGUISTICS STUDY Agustina, Winda; Simatupang, Ervina CM
Jurnal Penelitian Humaniora Vol 25, No 1: Februari 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/humaniora.v25i1.23668

Abstract

This research aims to explore the language features employed by male characters in the Netflix series "Sex Education" and to uncover the underlying purposes associated with each linguistic feature utilized by these characters. Adopting a descriptive qualitative approach supported by quantitative data analysis, the study focuses on the verbal expressions of male characters within the series, encompassing words, phrases, clauses, and sentences within dialogues. Through meticulous analysis, the researcher identifies 249 instances of men's language features within the series. These instances were categorized into distinct types, with swear words or taboo language accounting for 30.5%, minimal responses or backchanneling comprising 27.7%, direct questions representing 20.7%, compliments based on skills at 11%, and explicit commands making up 10.1% of the total. The study delves into the various purposes associated with men's language features. These purposes encompass expressions of masculinity, establishment of dominance, facilitation of rapport, concealment of vulnerability, and negotiation of social hierarchies within diverse cultural contexts. In contrast, women's language features typically serve to express uncertainty, convey emotions, elicit responses, soften utterances, and emphasize points. The distinctiveness of men's language features lies in their inclination towards asserting dominance, taking specific actions, offering compliments, and gathering specific details, reflecting the multifaceted nature of gendered communication dynamics within the series.
INTEGRATING ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY TO IMPROVE TOEFL SCORES FOR STUDENTS OF SMAN 19 BANDUNG Nugraha, Deden Novan Setiawan; Gunawan, Hero; Dianita, Dianita; Sari, Puspita; Rusyan, Susiyanti; Simatupang, Ervina CM
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3048

Abstract

This community service program aimed to provide training on the integration of Artificial Intelligence (AI) technology to improve TOEFL scores among twelfth-grade students at SMAN 19 Bandung. The method employed in this program involved training and mentoring, which consisted of two main stages: the implementation stage (preparation and training) and the evaluation stage. During the preparation stage, the team coordinated with the school, developed training materials, and set up AI-based learning tools. In the implementation stage, students were trained to use various AI applications and platforms, such as interactive chatbots, automated grammar correction tools, and AI-driven TOEFL simulations. Through intensive mentoring, participants were encouraged to practice their reading, listening, speaking, and writing skills with the assistance of AI technologies. The evaluation results indicated that students gained significant knowledge of TOEFL learning strategies as well as the ability to effectively utilize AI to enhance their English proficiency. Furthermore, the program fostered greater motivation and self-confidence among students in preparing for the actual TOEFL test. Therefore, this community service initiative is expected to make a meaningful contribution to improving the quality of English language education at the high school level.
The Deixis Analysis Of Donald Trump’s Victory Speech Purwandhi, Dwi; Simatupang, Ervina CM
SAMPURASUN Vol 11 No 2 (2025): Sampurasun Vol. 11 No. 2 - 2025
Publisher : Lembaga Penelitian Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/sampurasun.v11i2.22758

Abstract

This study aims to describe the use of deixis in Donald Trump’s 2024 Victory Speech. Employing a descriptive qualitative method, the research focuses on analyzing the types and frequency of deixis found within the speech text. The primary data source is the official transcript of the speech. The research process involved collecting, selecting, and reducing relevant data, particularly sentences or words containing deixis. The data were then displayed and analyzed to identify the types of deixis used. The study concludes by interpreting the findings and determining the most dominant type of deixis in the speech delivered by Donald Trump. Based on the analysis, five types of deixis were identified: person deixis, spatial or place deixis, temporal or time deixis, discourse deixis, and social deixis. A total of 344 deictic expressions were found in the speech. Among these, person deixis was the most frequently used, with 279 occurrences, representing 81.10% of the total. This suggests that Donald Trump heavily relied on personal references, such as pronouns like “I,” “we,” “you,” and “they,” to engage his audience and emphasize personal and collective identity. The dominance of person deixis indicates a rhetorical strategy aimed at establishing a strong connection with listeners, reinforcing solidarity, and asserting leadership. The findings highlight the importance of deixis as a linguistic tool in political discourse, particularly in persuasive and emotionally charged speeches. This study contributes to the broader understanding of how linguistic features like deixis function in political communication to influence public perception and audience response.