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Analisis Tindak Tutur Ekspresif dalam Novel Laut Bercerita Karya Leila S. Chudori Nadia Alfi Hidayah; Ciara Friska Sudrajat; Vina Salma; Sri Maulidiya Ardiyanti; Dyah Prabaningrum; Asep Purwo Yudi Utomo; Rossi Galih Kesuma
Journal of Student Research Vol. 2 No. 4 (2024): Juli: Journal of Student Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jsr.v2i4.3203

Abstract

One of the goals of speech in communication is an effort to achieve the desired results of the speaker with the speech partner, speech is not only in oral communication but also in written communication such as novels .The method used is qualitative because the analysis in it explains the meaning of the characters' dialogue. As well as the use of data analysis techniques that use qualitative descriptive. Expressive speech acts in the novel Laut Bercerita based on the results of data analysis found 6 expressive speech acts in the novel Laut Bercerita, namely criticizing, praising, complaining, saying thank you, blaming. Expressive speech is a speech act intended by the speaker so that the speech can be interpreted as an evaluation of the things mentioned in the speech and has several functions in it. By using expressive speech the author is able to give messages and meaning to the reader about what he wants to convey through dialogue.
CyberbulIying pada Kolom Komentar Penyandang Disabilitas di Media Sosial TikTok Sri Maulidiya Ardiyanti; Subyantoro Subyantoro
Bhinneka: Jurnal Bintang Pendidikan dan Bahasa Vol. 4 No. 2 (2026): Bhinneka
Publisher : Universitas Palan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/bhinneka.v4i2.1716

Abstract

This study examines the phenomenon of cyberbullying against people with disabilities in the comment column of the TikTok platform through a forensic linguistic perspective. The focus of the research is directed at the form of speech used by the perpetrator in carrying out verbal attacks. The research method uses a qualitative descriptive approach based on John Searle's speech action theory. Data was collected from comments that contained indications of cyberbullying and analyzed based on speech categories. The results showed that cyberbullying was dominated by assertive (22 findings) and expressive (14 data) speech, with the category of insults as the main instrument of verbal attack. The dominance of assertive speech and expressive insults proves that the perpetrator consciously uses statements to demean people with disabilities, either through derogatory jokes or with explicit intent to insult. These findings confirm that language in the digital space not only serves as a means of communication, but can also be an instrument of symbolic violence that impacts the dignity of the individual. This research is expected to contribute to the development of forensic linguistic studies and become the basis for efforts to prevent and handle cyberbullying against vulnerable groups on social media.