Article Per Year (5 Year)
p-Index From 2021 - 2026
3.237
P-Index
This Author published in this journals
All Journal Lingua Didaktika: Jurnal Bahasa dan Pembelajaran Bahasa IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik Universitas Medan Area JOURNAL OF APPLIED LINGUISTICS AND LITERATURE Jurnal Sains Sosio Humaniora JETL (Journal Of Education, Teaching and Learning) Journal of English Language Teaching and Linguistics Stilistika: Jurnal Pendidikan Bahasa dan Sastra JALL (Journal of Applied Linguistics and Literacy) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Arus Jurnal Psikologi dan Pendidikan LingPoet: Journal of Linguistics and Literary Research ELITERATE : Journal of English Linguistics and Literature Studies Studies in English Language and Education Priviet Social Sciences Journal JALC : Journal of Applied Linguistics and Studies of Cultural
Nurlela
Fakultas Ilmu Budaya Universitas Sumatera Utara
Religion Aerospace Engineering Arts Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Register features in TikTok shop’s posts and comments Nurlela Nurlela; Putri Annisa Zulhantiar; Mutiara Zein; Krisna Weny
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.1567

Abstract

This study investigates the linguistic register used in TikTok Shop, focusing on how language varies in online commerce compared to everyday communication. This study aims to identify both the linguistic forms and meanings of registers commonly used in this context. Using a descriptive qualitative approach, data were collected from TikTok Shop interactions, including product listings, status updates, and comments. The analysis revealed various linguistic forms, such as nouns (eight items), verbs (five items), adjectives (two items), compound words (five items), abbreviations (five items), and phrases (five items). In terms of semantics, this study identified 11 examples of lexical meaning and 19 examples of contextual meaning. The findings highlight how specific linguistic features of online shop discourse reflect the dynamic and adaptive nature of language on digital marketing platforms.
Kompas Digital News Kesatuan Dan Keterpaduan Komdigi Peringatan Kepada Tiktok Dan Roblox Untuk Membatasi Akun Anak-Anak Astri Rahmah Aulia; Nurlela; T. Thyrhaya.Zein
Stilistika: Jurnal Pendidikan Bahasa dan Sastra Vol 19 No 2 (2026)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/st.v19i2.31209

Abstract

Discourse analysis of popular news is a crucial step in understanding the comprehensibility of information in mass media. This study analyzes the formal and semantic aspects of a news article titled "Komdigi Peringatkan TikTok dan Roblox untuk Segera Batasi Akun Anak di Bawah 16 Tahun" (Komdigi Warns TikTok and Roblox to Immediately Limit Accounts for Children Under 16) published on Kompas.com. Utilizing the theories of Halliday and Hasan as well as Renkema, this research identifies various lingual units that function as discourse markers. The research findings reveal a dominance of grammatical cohesion, specifically references and conjunctions, which serve to connect sentences. Furthermore, the use of collocation and hyponymy was found to strengthen the lexical aspects of the text. The presence of contrastive and additive semantic relationships ensures that the discourse remains coherent. The study concludes that the appropriate use of linguistic devices significantly determines the readability of public policy news. Keywords: discourse analysis, grammatical cohesion, lexical cohesion, Kompas.com
A Case Study of Cohesion in Academic Texts trough Systemic Functional Linguistics Dwi Putri Lestari; Nurlela Nurlela
JALL (Journal of Applied Linguistics and Literacy) Vol 10, No 1 (2026)
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jall.v10i1.22946

Abstract

This study aims to analyze the use of cohesive devices in undergraduate thesis abstracts by English Department students in Indonesia through the Systemic Functional Linguistics (SFL) approach. The data consist of 20 thesis abstracts selected from three public and private universities and were analyzed qualitatively focusing on grammatical cohesion (reference, substitution, ellipsis, conjunction) and lexical cohesion (repetition, synonym, antonym, collocation). The findings reveal that reference and conjunction are the most dominant grammatical cohesive devices; however, errors such as ambiguous references and illogical conjunction usage are frequently found. On the lexical level, repetition serves as the main strategy, while the use of synonyms and collocations remains limited, reducing lexical variety and the clarity of arguments. These findings underscore the importance of integrating SFL into academic writing instruction to improve students’ cohesion competence.
Co-Authors Aditiya Mulya Syarif Aisyah Inka Putri Lubis Alemina Alemina Amrin Saragih Anisah Putri Aqshal Alifa Mahmud Arifin, Adil Astri Rahmah Aulia Chesya Purba Cut Fitrah Ashyfa Cut Nadia Muji Rahmah Dalilah Fathma Deliana Diah Mutiara Isnaeni Dwi Putri Lestari Eddy Setia Eddy Setia Elvi Syahrin Ely Hayati Nasution Erikson Saragih Faninsky Aryanti La Ajina Hasibuan Fernanda Putra Adela Fikry Syahputra Giovanni Goh Good Sumbayak Lingga Grace Chelvia Ginting Icha Mawarni Br Ginting Kevindo Silalahi Khairina Nasution Khairunnisa Wintara Krisna Weny Lubis, Tasnim Meriyanti Mitha Arfiana Muhammad Hamzah Muhammad Yusuf Muhammad Yusuf Mutiara Zein Nidiya Mawarni Putri Annisa Zulhantiar Rohani Ganie Rudy Sofyan Rusdi Noor Rosa Rusdi Noor Rosa Siti Meutia Sari Stephani Anastasia T. Silvana Sinar T. Silvana Sinar T. Thyrhaya Zein T. Thyrhaya.Zein Tengku Silvana Sinar Vivi Heryanti Damanik Yuri Widiantho Zakaria Zakaria