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All Journal KLAUSA (Kajian Linguistik, Pembelajaran Bahasa, dan Sastra) Journal of English Language and Education Excellence
Afandi, Fahri
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Arts Humanities Education Languange, Linguistic, Communication & Media Other

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Feminist Stylistics Analysis of the Movie “Gangubai Kathiawadi”: The Queen of Kamathipura who Defied Gender Inequality Afandi, Fahri; Salim, Fahri; Nabila, Kanaya Nur; Meisya, Shalsa Billa; Rangkuti, Rahmadsyah
Journal of English Language and Education Vol 10, No 3 (2025)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v10i3.1049

Abstract

This research was aimed at analyzing gender inequality and social discrimination in the movie “Gangubai Kathiawadi” describing how women and gender roles presented in texts by applying a feminist approach. Through a qualitative descriptive approach, this study explores the dialogue in the movie at three different levels; words level, phrase/sentence level, and discourse level. The primary objective of this research is to see how gender bias is depicted through texts. One of the main findings of this study is that women in brothels are often treated as lawbreakers, even though they are often in oppressive situations and how the main character in this movie tries to fight for the rights and integrity of women. The dialogue in the movie successfully depicts the injustice experienced by women. Reinforcing the idea that justice, security, and a decent life are the rights of all women, regardless of their jobs.
FLAMING AS VERBAL CYBERBULLYING ON TIKTOK COMMENTS TOWARDS RACHEL ZEGLER AS SNOW WHITE Simanjuntak, Juni Santa; Afandi, Fahri; Trifena, Atalya; Salim, Fahri; Putri, Dian Marisha
KLAUSA (Kajian Linguistik, Pembelajaran Bahasa, dan Sastra) Vol 9 No 2 (2025): KLAUSA Vol 9 No 2 (2025)
Publisher : Ma Chung Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/klausa.v9i2.1344

Abstract

This study applied the Speech Act Theory by Austin and Searle to analyze verbal cyberbullying on TikTok comments toward Rachel Zegler, who took a role as Snow White and classified it into several categories and subcategories of illocutionary acts. This study utilised a descriptive qualitative approach to analyze linguistic forms of verbal cyberbullying in the data. The data collected through documentation and observation of several contents related to Rachel Zegler. The analysis result shows that the domination of expressive (insulting) acts occurred in the verbal cyberbullying data collected, with a total of 25 utterances (50%). Assertive (stating) acts became the second most dominant with a total of 7 utterances (14%), followed by assertive (asserting) with 4 utterances (8%), assertive (complaining) with 3 utterances (6%) and assertive (criticizing) with 2 utterances (4%). While the least dominant acts were assertive (predicting) and (comparing), directive (requesting/demanding) and commissive (committing), with each having a single utterance (2%). This study reveals that most people used expressive (insulting) acts in doing flaming as a form of verbal cyberbullying on TikTok. This research contributes to raising awareness among digital media users about the importance of the use of appropriate language in fostering constructive criticism and promoting healthier online interactions.
When Sadness Speaks in Two Tongues: English Code-Switching in Indonesian TikTok Sad Post Captions Afandi, Fahri; Nabila, Kanaya Nur; Meisya, Shalsa Billa; Rangkuti, Rahmadsyah
EXCELLENCE: Journal of English and English Education Vol 5 No 2 (2025): EXCELLENCE (In Press)
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v5i2.1342

Abstract

This study investigates the phenomenon of code-switching in sad post captions on TikTok, focusing on its types, contexts, and communicative functions. Although code switching on digital platforms has been widely studied, the switching context remains underexplored. Using a qualitative descriptive approach with content analysis, this study examines 29 sad-related TikTok captions collected between 2022 and 2025. The analysis is guided by Muysken’s typology, Blom and Gumperz’s contextual categorization, and the functional frameworks of Gumperz and Wardhaugh. The findings show that alternation is the most frequent type of code-switching, indicating frequent shifts between Indonesian and English across clauses. Contextually, metaphorical switching predominates, suggesting that code switching is strongly driven by emotional emphasis. Functionally, message qualification and affective expression dominate, indicating that code switching primarily serves to intensify emotional meaning rather than to convey informational content. This study contributes to sociolinguistics, highlighting how Indonesian bilingual users perform code-switching on TikTok as a strategic medium for emotional expression, identity performance, and digital self-representation.
Co-Authors Meisya, Shalsa Billa Nabila, Kanaya Nur PUTRI, DIAN MARISHA Rangkuti, Rahmadsyah Salim, Fahri Simanjuntak, Juni Santa Trifena, Atalya