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All Journal English Language and Literature IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature ELS Journal on Interdisciplinary Studies in Humanities CALL Journal of English Language and Education Saksama: Jurnal Sastra Journal of Pragmatics Research
Ice Sariyati
Indonesia University of Education
Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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The Translation of Introduction Part of Academy’s Genius Swordmaster’s Comic Using Machine Translation Syifa, Arya Nurusy; Ruminda; Sariyati, Ice
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 2 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i2.7444

Abstract

This study examined the accuracy and clarity of machine translation in the context of fictional texts, with a specific focus on the comic Academy’s Genius Swordmaster. Using Google Translate as the primary tool, a qualitative analysis was conducted to evaluate how effectively the machine translated the comic’s content. The results revealed that 63% of the translated text contained errors, with many issues related to accuracy such as overly literal translations, incorrect word choices, and loss of intended meaning. Problems with clarity were also frequent, as many sentences sounded unnatural, too formal, or awkward in Indonesian, disrupting the flow and making them harder to read. These shortcomings were particularly noticeable in emotional storytelling, where tone, character expression, and cultural nuance play a key role in delivering the intended message. The findings highlight that despite recent advancements, current MT systems still face significant challenges in rendering creative and context-sensitive texts. Future research could expand this work by testing multiple MT systems or exploring post-editing approaches to improve translation quality in fictional narratives.
NARRATIVES OF AFFECTION IN FIVE FEET APARTWRITTEN BY RACHEL LIPPINCOTT, TOBIAS IACONIS, AND MIKKI DAUGHTRY Mutmainah, Siti Faudziana; Priyawan, Pepen; Sariyati, Ice
Saksama: Jurnal Sastra Vol. 2 No. 2 (2023): Saksama
Publisher : Fakultas Adab dan Humaniora UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/sksm.v2i2.28888

Abstract

Five Feet Apart is a romance novel written by Rachel Lippincott, Tobias Iaconis, and Mikki Daughtry about the love of two teenagers who are unable to be close to each other due to illness. This study aims to describe and explain the various types of love language and figurative love language found in the novel Five Feet Apart. This research is based on library resources. This research takes a qualitative approach. The issue in this study is the novel Five Feet Apart's various types of love languages and figurative language of love language. This investigation is divided into three stages. The first step is to gather information. Reading notes is the technique employed. Data analysis is the stage that comes after data collection. The data is analyzed descriptively. The results of the data analysis are then presented in the form of a presentation that includes an explanation of the novel Five Feet Apart. The theoretical triangulation validation method was used, which included document reading, recording, and analysis stages. According to the findings of this study, the expressions in the novel Five Feet Apart use a variety of love languages, including words of affirmation, quality time, physical touch, receiving gifts, and acts of service. Furthermore, in the novel Five Feet Apart, hyperbole, metaphor, simile, and personification are examples of figurative language of love language. 
Artificial Intelligence on ELT for Literature Studies Shafarini, Rizkia; Sariyati, Ice; Saehu, Andang
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 11 No. 2 (2023): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v11i2.4333

Abstract

Technology has advanced at a rate never before seen in the 21st century, with artificial intelligence (AI) emerging as one of the most significant developments of our time. This rapid integration of AI into various aspects of our lives has not spared the realm of education, particularly English Language Teaching (ELT). Literature studies have traditionally been characterized by the human-centric approach, where educators and scholars engage in close readings, discussions, and interpretations of literary works. However, the advent of AI technologies has introduced a paradigm shift, redefining how literature is taught, analyzed, and appreciated. The intersection of Artificial Intelligence (AI) and English Language Teaching (ELT) within the context of literature studies is a dynamic and evolving field that has garnered increasing attention in recent years. The research is conducted to investigate and understand how artificial intelligence (AI) impacts English language teaching (ELT) in the context of literature studies. The researcher employed a qualitative research approach for this investigation. A naturalistic setting is used in qualitative research, which focuses on analyzing contemporary phenomena using diverse techniques like interviews, observations, and literature studies. The result of this study that artificial intelligence's (AI) influence on English language instruction (ELT) in the context of literary studies reveals a complicated and dynamic terrain. 
Slang Words in Comments From People on Elon Musk's X Account Husnul Khotimah, Shafira; Sariyati, Ice; Muhammad Fauzi, Erfan
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 12 No. 2 (2024): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v12i2.5606

Abstract

Slang is an informal type of language often used in everyday communication, especially on social media. Meanwhile, X, a popular social media platform, features many comments that frequently use slang words in its threads. Thus, this study aimed to classify the types of slang word formation and the functions of slang words found in comments on X. The theoretical framework for this study included Yule's (2010) theory on types of slang words and Zhou and Fan's (2013) theory on the functions of slang expressions. The research employed a descriptive qualitative method. The data were taken from comments by users on Elon Musk's X account, uploaded by Elon Musk from July to August 2023. The findings identified several types of word formation: 1) clipping (7 data), 2) derivation (6 data), 3) acronyms (4 data), 4) borrowing (4 data), 5) coinage (2 data), 6) compounding (1 data), and 7) multiple processes (1 data). Among the types of word formation analyzed, clipping was the most common type of slang word formation found, with 7 examples identified. The main function of slang words in these comments was to express user’s feelings, especially their disappointment with the rebranding of Twitter to X. This suggests that users use slang and word creation techniques in a variety of ways, demonstrating linguistic innovation and originality in online communication. Keywords: Comments, Elon Musk, Functions, People, Slang Words, Types, X
Co-Authors Andang Saehu, Andang Dian Budiarti Firdaus, Dadan Hkikmat, Mahi M Husnul Khotimah, Shafira Maharani, Frevy Maylinda, Cindy Muhammad Fauzi, Erfan Mutmainah, Siti Faudziana Nurhapitudin, Irman Nurholis Nurholis, Nurholis pramita, agry Priyawan, Pepen Reziana, Salsabila Rosya Ruminda Ruminda Saputra, Septian Bimo Sari Wulandari Shafarini, Rizkia Syach Bustami Harahap, Raihan Syifa, Arya Nurusy Vierra Trirenata, Erlita Yatmikasari, Ika