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All Journal Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris Sintaksis: Publikasi Para Ahli Bahasa dan Sastra Inggris Jurnal Intelek Insan Cendikia International Journal of Education and Literature
Indi Azizah Nailah
Unknown Affiliation
Religion Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Sarcasm in Anthony and Joe Russo’s Movie Avengers: Endgame Syamsul Bahri; Dio Manik; Fadillah Fauziah Putri; Indi Azizah Nailah
Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris Vol. 3 No. 2 (2025): June: Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/fonologi.v3i2.1740

Abstract

Sarcasm is often used in movies to create humor, but it can also show deeper emotions like anger, disappointment, or hidden criticism. In the movie Avengers: Endgame, sarcasm is used by many characters to express their feelings and relationships in a funny but meaningful way. This research aims to analyze how sarcasm is used in the movie and to identify which types of sarcasm appear the most. The researcher used Elisabeth Camp’s theory, which divides sarcasm into four types: propositional, lexical, like prefixed, and illocutionary sarcasm. The method used is descriptive qualitative, by watching the movie, collecting sarcastic dialogues, and analyzing them based on the theory. The result shows that propositional sarcasm is the most used (43%), followed by lexical sarcasm (36%), illocutionary sarcasm (14%), and like-prefixed sarcasm (7%). From these findings, it can be concluded that sarcasm in Avengers: Endgame is not only for jokes but also helps to express the characters’ emotions, conflicts, and closeness, making the dialogue more interesting and meaningful for the audience.
THE ROLE OF LITERATURE IN ENHANCING ENGLISH LANGUAGE SKILLS Intan Nia Salsabila; Saralena Manik; Aditya Raffa Nanda; Naya Islah Nabila; Indi Azizah Nailah; Fitri Wiratama
Jurnal Intelek Insan Cendikia Vol. 1 No. 8 (2024): Oktober 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

This article's goal is to learn more about how literature might improve students' English language proficiency. They employ quantitative techniques. To all English literature majors, including new and older students received a questionnaire with fifteen questions. The findings demonstrate that reading literature while learning English has a major positive effect on language proficiency. When it comes to reading, writing, and speaking English, pupils who are actively immersed in the literary study of the language exhibit more growth than those who are not. The ways that literature can improve one's English-speaking abilities will be further discussed this article's goal is to learn more about how literature might improve students' English language proficiency. They employ quantitative techniques. To all English literature majors, including new and older students received a questionnaire with fifteen questions. The findings demonstrate that reading literature while learning English has a major positive effect on language proficiency. When it comes to reading, writing, and speaking English, pupils who are actively immersed in the literary study of the language exhibit more growth than those who are not. The ways that literature can improve one's English-speaking abilities will be further discussed in this conversation, along with the ramifications for real-world English language instruction.
AI Tools for Academic Integrity: A Student Response to Chat GPT and Jenni AI in Citation Accuracy Fitra Aulia Simatupang; Indi Azizah Nailah; Rita Hartati
Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris Vol. 4 No. 2 (2026): Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/sintaksis.v4i2.2607

Abstract

This study investigates the role of Artificial Intelligence (AI) tools, specifically ChatGPT and Jenni AI, in supporting academic integrity through accurate citation generation. Employing a descriptive qualitative method, the research involved 30 undergraduate students who evaluated AI-generated citations using Fishman’s (2014) Academic Integrity Theory and Smith’s (2020) Citation Accuracy Framework. Data were collected through questionnaires assessing students’ perceptions of reliability, ethical responsibility, and accuracy in AI-assisted citation practices. Quantitative analysis revealed that Honesty and Accountability were the most dominant values (22.58% each), followed by Fairness and Respect (19.35% each), Trust (12.90%), and Courage (3.23%). Qualitative findings showed that students recognized AI’s potential to enhance writing efficiency but emphasized the need for human verification to ensure factual correctness and ethical compliance. Comparatively, Jenni AI demonstrated greater consistency and citation verification than ChatGPT, which exhibited more frequent fabrication and inaccuracy. The study concludes that while AI tools can enhance academic productivity, maintaining academic integrity still requires critical human oversight, ethical awareness, and adherence to scholarly honesty and accountability.
Critical Discourse Analysis of International Media Framing of the Iran–United States Conflict Nabila Shaini Putri; Farid Rizaldi; Fitra Aulia Simatupang; Indi Azizah Nailah; Muhammad Natsir
International Journal of Education and Literature Vol. 5 No. 1 (2026): International Journal of Education and Literature
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijel.v5i1.362

Abstract

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object of research, (2) problems, and research objectives, (3) proposed methods, (4) main findings and results and synthesis of main ideas, and (5) conclusions. In recent years, the Iran–United States conflict has not only unfolded within the geopolitical arena but has also been intensively constructed through international media framing that shapes how global audiences understand this reality. In the context of the digital information overflow, media no longer function merely as conveyors of facts; rather, they act as agents that construct meaning, evoke emotions, and shape the social perceptions of audiences. This study aims to analyze how international media framing constructs representations of the Iran–United States conflict and how audiences interpret such discourse within their social experiences. This research adopts a qualitative approach with a Critical Discourse Analysis (CDA) design. Data were collected through document analysis of 25 news articles from both Western and non-Western media, as well as exploratory interviews with nine participants from academic backgrounds. Data analysis was conducted using a thematic approach based on Norman Fairclough’s three-dimensional model. The findings reveal three main patterns: the construction of threat through media language, moral polarization that produces a dichotomy of “us versus them,” and the negotiation of meaning by audiences, which is reflective and not always linear. These findings indicate that audiences are not entirely passive; rather, they actively interpret and, at times, question media framing. Theoretically, this study extends Critical Discourse Analysis by incorporating the dimension of audience experience into the discursive process. Practically, it underscores the importance of critical media literacy in navigating the complexity of global information and opens avenues for further exploration of the relationship between discourse, power, and social experience.
Co-Authors Aditya Raffa Nanda Dio Manik Fadillah Fauziah Putri Farid Rizaldi Fitra Aulia Simatupang Fitri Wiratama Intan Nia Salsabila Muhammad Natsir Nabila Shaini Putri Naya Islah Nabila Rita Hartati Saralena Manik Syamsul Bahri