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All Journal Lingua Susastra Jurnal Pembelajaran Bahasa dan Sastra
Nazifa, Farah
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Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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Sarana Pengaitan Kalimat dalam Teks Wacana Berita Kompas Nazifa, Farah; Wardiana, Wardiana; Fadilla, Nur Aulia; Rahmadiana, Nisa; Lutfia, Haula; Sundana, Lina
Lingua Susastra Vol 5, No 3 (2024): Special Issue: Proceedings for ICLLE-2024
Publisher : Departemen Bahasa dan Sastra Indonesia dan Daerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ls.v5i3.370

Abstract

The purpose of this study is to describe the means of linking sentences in discourse texts on Kompas daily news, as well as analyze its impact on readers' understanding. The type of research used is descriptive qualitative, with data collection techniques through thorough reading of news texts, rewriting relevant texts, classification, and analysis. The researcher obtained data from three news discourse texts. The first news contains six data: 3 pronouns, 1 word equivalent, 1 conjunction, and 1 common theme. The second news has ten data: 1 pronoun, 2 word equivalents, 4 conjunctions, 1 common theme, 1 designation, and 1 opposite word. The third news story includes three data: 1 pronoun and 2 conjunctions. Based on the analysis, the discourse text in Kompas news shows a good and correct use of linking means, thus structuring the discourse text to be more structured and easy to understand.
Analysis of Genetic Structuralism in the Novel Egosentris by Syahid Muhammad Nazifa, Farah; Sundana, Lina
Jurnal Pembelajaran Bahasa dan Sastra Vol. 5 No. 2 (2026): Maret 2026 in progress
Publisher : Raja Zulkarnain Education Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55909/jpbs.v5i2.1171

Abstract

This study aims to analyze genetic structuralism in the novel Egosentris by Syahid Muhammad by focusing on structural elements, human facts, and the author’s worldview. The research employs a descriptive qualitative method, with the novel Egosentris serving as the primary data source. The research population consists of the entire content of the novel, while the sample comprises selected textual excerpts relevant to the genetic structuralism approach. The data are in the form of quotations that represent structural elements, human facts, and the author’s worldview, which were collected through intensive reading and systematic note-taking techniques. The researcher acts as the main research instrument, supported by data classification tables. The collected data were analyzed using descriptive qualitative analysis by relating the structure of the literary work to its social context, the author’s background, and the worldview underlying the creation of the novel. The results indicate that 67 relevant excerpts were identified, consisting of 60 excerpts related to structural elements such as theme, plot, characters and characterization, setting, point of view, and moral values that dominate the narrative development, 3 excerpts reflecting human facts in the form of psychological conflicts, social relations, and social pressures experienced by the characters, and 4 excerpts representing the author’s worldview that convey criticism of egocentric attitudes, a lack of empathy, and the search for personal identity in social life. These findings confirm that the novel Egosentris demonstrates a close relationship between literary structure and the author’s social reality as examined through the genetic structuralism approach.
The Use of Language Variation on the Social Media Twitter: Rahmadiana, Nisa; Rahmawati, Yeni; Nazifa, Farah; Fazrayana, Fuan; Rahmi, Hidayatur; Rizki, Daini; Istiqamah
Jurnal Pembelajaran Bahasa dan Sastra Vol. 5 No. 2 (2026): Maret 2026 in progress
Publisher : Raja Zulkarnain Education Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55909/jpbs.v5i2.1293

Abstract

Language variation is the variety of language used by society. Talking about language variation, it cannot be separated from the aspect of communication, both verbally and in writing. In this study, researchers will examine the use of language variation from the perspective of speakers on social media Twitter. Types of language variation from the perspective of speakers are divided into four, one of which is sociolect. Sociolect is further divided into eight, namely acrolect, basilect, vulgar, slang, colloquial, jargon, argot, and ken. Acrolect is a type of language variation that has a higher status. Basilect is a type of language variation that is considered to have a lower status or the opposite of acrolect. Vulgar is a type of language variation that contains rude or dirty words. Slang is a type of language variation that is specific and commonly used by teenagers and often changes. Colloquial is a type of spoken language variation that is commonly used daily. Jargon is a type of language variation that is limited in nature and is used only in certain groups or fields but is not closed. Argot is a type of language variation that is used in certain fields and is secretive, the opposite of jargon. Ken is a type of language variation used to request or influence and is full of falsehood. The purpose of this study is to analyze sociolect language variations based on the speaker’s perspective on Twitter social media, including posts, tweets, comments, and others. The research method used was qualitative to produce descriptive data, namely data that is in accordance with the results of the analysis. The data found a total of 20 data. There are 2 data for the type of acrolect, 3 data for the type of basilek, 6 data for vulgarity, 3 data for slang, 1 data for colloquial, 2 data for jargon, 2 data for argot and 1 data for ken. Thus, it can be concluded that there are many variations of language used on Twitter social media, both from teenagers and adults to the elderly, which are very diverse.
Co-Authors Fadilla, Nur Aulia Fazrayana, Fuan Istiqamah Lutfia, Haula Rahmadiana, Nisa Rahmi, Hidayatur Rizki, Daini Sundana, Lina Wardiana, Wardiana Yeni Rahmawati, Yeni