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Shifting Public Perception in the Jessica Mirna Cyanide-Infused Coffee Case: A Discourse Analysis Engkis, Dede; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 9 No 1 (2024): Edisi April 2024
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v9i1.1965

Abstract

This study aims to investigate the impact of social media on changing public perceptions in the Jessica Mirna Cyanide-Infused Coffee Case. The research method employed is descriptive, with the primary data source from TikTok, the official account @Netflix Indonesia, which released a documentary trailer titled 'Ice Cold: Murder, Coffee, and Jessica Wongso' in September 2023. The study applies Ruth Wodak's Critical Discourse Analysis (CDA) theory along with other social media theories. The utilization of hashtags, trends, and algorithms on social media significantly impacts the broader dissemination of the case, leading to its resurgence in public discourse. Initially, social media was dominated by the hashtag #JusticeForMirna, which later transitioned to #JusticeForJessica following the release of the aforementioned documentary. This analysis also involves understanding language, framing, comments, and public responses, which influence the shaping of public opinion on the case. The research findings highlight shifts in public perception due to the influence of the aforementioned factors and public distrust in the case's transparency, attributed to insufficient evidence in court and newly revealed facts. This has sparked debates and positioned Jessica in two possibilities, either as the perpetrator or as a victim of the justice system. These factors have proven to be crucial in shaping diverse perspectives and generating opinion shifts among the public. Academically, this study provides in-depth insights into the complexity of social media's role in shaping public opinions on controversial issues. This is important given the rapid development of social media and online interactions, emphasizing the transformative power of discourse, narrative framing, and the dynamic nature of public perception
Positive Politeness Strategies At Google Review Post Caption Dwi, Natalia; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 9 No 1 (2024): Edisi April 2024
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v9i1.2153

Abstract

In the digital age, online platforms like Google Reviews have become significant spaces for individuals to express opinions and feedback. This study aims to investigate the linguistic and pragmatic aspects of positive politeness strategies utilized in the captions of these reviews. Positive politeness, a concept from politeness theory, involves linguistic strategies aimed at enhancing rapport and mitigating potential face-threatening acts. The research employs a qualitative approach, analyzing a diverse set of Google review post captions to identify prevalent positive politeness strategies. Through a detailed examination of linguistic features, such as lexical choices, syntactic structures, and discursive elements, the study seeks to unveil patterns and variations in the use of positive politeness. Additionally, the research delves into the socio-cultural context surrounding the reviews, considering factors that may influence language choices in this digital communication medium. By shedding light on the positive politeness strategies within Google review post captions, this study contributes to the broader field of pragmatics, offering insights into how individuals navigate politeness norms in the online domain. The findings may have implications for understanding online communication dynamics, customer feedback practices, and the role of positive politeness in shaping digital interactions within the context of review platforms like Google.
Hate Speech in Youtube Comments on Will Smith’s Oscars Speech 2022: A Pragmatic Study Anindya, Renita Raisya; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 10 No 2 (2025): November 2025
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v10i2.2496

Abstract

The title of this research is "Hate Speech in YouTube Comments on Will Smith's Oscar Speech 2022: A Pragmatic Study." The purpose of this research is to identify the types of speech acts focusing on illocutionary acts, types of hate speech, and to describe the functions of illocutionary speech acts in YouTube comments about Will Smith's Oscar speech in 2022. In analyzing the data, the method used is descriptive qualitative method. The theory used in this research is the theory stated by Austin and further developed by Searle to identify the types of illocutionary speech acts and to identify the functions of illocutionary speech acts. This study analyzes 6 data points from YouTube comments about Will Smith's 2022 Oscar speech. The research shows that: 2 Assertives, 1 Commissives, 1 Expressives, 1 Directives, and 1 Declaration types and functions of illocutionary acts. Additionally, this research identifies 4 types of hate speech in the form of insults, 1 type of unpleasant action, and 1 type of provocation. These findings help reveal how hate speech is constructed linguistically and how illocutionary acts contribute to shaping negative narratives online. This analysis is expected to provide insights into the relationship between speech acts and digital communication, especially in the context of viral or controversial matters.
“EL” As Compounding in Extra Time Indonesia’s X Posts: A Morphological Study Darussalam, Nauval Muhammad; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 10 No 2 (2025): November 2025
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v10i2.2502

Abstract

This research investigates the usage of compounding in social media, specifically the utilization of “EL” as a morphological part of posts by Extra Time Indonesia on X (previously Twitter). This research aims to categorize the types and meanings of compounds formed with “EL” by analyzing data through the framework of morphological theory by Katamba and Plag. Qualitative descriptive methodology, which Creswell defines, is applied in this research to analyze language utilization within the social media setting. 10 data samples were analyzed based on the presence of “EL” as a compound part. The results indicate that 6 data are Exocentric compounds (60%), and 4 data are Endocentric compounds (40%), with no data of Copulative compounds identified (0%). Regarding the meanings, 4 data are Transparent meaning (40%), while 6 data are non-transparent meaning (60%), indicating that the interpretation does not always rely on contextual or cultural knowledge. Ultimately, this research demonstrates how social media users create meaning and identity through morphological creativity, especially on X. The term “EL” conveys the compound pattern in informal digital communication, providing insight into language adaptation within online communities and communication patterns. Keywords: Compounding, Social Media, Morphology
The Language Of Women Used in The Podcast Everything Goes With Emma Chamberlain a Talk With Kendall Jenner: A Sociolinguistic Study Aini, Mutiara Qurrota; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 10 No 2 (2025): November 2025
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v10i2.2503

Abstract

Studi ini menyelidiki hubungan antara fungsi bahasa dan fitur linguistik wanita dalam komunikasi, dengan fokus pada interaksi dalam episode podcast yang menampilkan Emma Chamberlain dan Kendall Jenner. Data dikumpulkan dengan mentranskripsi episode secara verbatim dan membandingkannya dengan audio asli untuk memastikan akurasi. Dengan menggunakan teknik pengkodean kualitatif, fitur linguistik kunci diidentifikasi dan dikategorikan secara sistematis, termasuk kata – kata penghalus (27%), pertanyaan penutup (10%), kenaikan intonasi (5%), kata sifat kosong (7%), kata-kata warna (5%), penekanan (12%), tata bahasa berlebihan (15%), formula sangat sopan (19%), dan penghindaran kata kasar (7%). Analisis data menekankan pemahaman fungsi-fungsi fitur ini dalam dialog. Validasi dicapai melalui proses tinjauan sejawat dan triangulasi dengan literatur yang ada, memastikan temuan yang dapat diandalkan. Hasilnya menunjukkan prevalensi yang signifikan dari fitur-fitur ini, yang menggambarkan bagaimana kedua pembicara mengarahkan identitas mereka dan mendorong interaksi kolaboratif. Pada akhirnya, studi ini menyoroti peran penting bahasa dalam membentuk hubungan antarpribadi dan mempromosikan pemahaman timbal balik khususnya komunikasi antara perempuan, menunjukkan bahwa pemilihan kata dan strategi linguistik yang dipilih dengan cermat dapat memfasilitasi percakapan yang lebih bermakna dan memperkuat ikatan sosial dalam konteks sosial yang beragam.
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.