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The Difference between Standard American English Pronunciation and the Interlanguage of English Department Students of the Class of 2015 at Andalas University Rinjani Kusuma Putri; Zulfakhri Dt. Majo Datuk
Vivid: Journal of Language and Literature Vol 9, No 2 (2020)
Publisher : English Department, Faculty of Humanities, Andalas University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/vj.9.2.80-85.2020

Abstract

This study discusses (1) the differences between the students’ interlanguage and standard American English pronunciation, and (2) the patterns of phonetic shift from the Standard American English into the students’ Interlanguage Pronunciation. The participants of this research were English Department students, the year of 2015, at Andalas University and were selected by using stratified random sampling with academic achievement as the criteria in choosing the sample. The data were collected by using picture description task and analyzed by using Markedness Differential Hypothesis (MDH) by Eckman (1977) where the markedness relation among the sounds were found by using Markedness Hierarchy by Lombardi (1995, 1998). The result of the analysis showed that the most frequent errors that the participants made were the pronunciation of [ð], [θ], and [v] where the participants replaced  [ð] with [d],[θ] with [t], and [v] with [f]. The difficulties of the participants were mostly in line with Eckman’s MDH.
Emoticons Unveiled: A Multifaceted Analysis of Their Linguistic Impact Ike Revita; Farah Anindya Zalfikhe; Helen Boholano; Nguyen Thanh Tuan; Balazs Huszka; Zulfakhri Dt. Majo Datuk
JURNAL ARBITRER Vol. 10 No. 3 (2023)
Publisher : Masyarakat Linguistik Indonesia Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ar.10.3.260-274.2023

Abstract

This study aims to thoroughly investigate the linguistic impact of emojis and emoticons in modern written communication. This work attempts to shed light on these digital symbols’ linguistic structure, social implications, and evolution through a multidisciplinary research method. A mixed-methods approach was used in the research, integrating interdisciplinary viewpoints with quantitative and qualitative analyses. A vast amount of data was gathered from various digital communication channels, such as email exchanges, messaging apps, and social media. A sizable collection of text messages with emojis and emoticons was assembled. Emotional cons and emojis were categorized using linguistic analysis, breaking down their structure into visual components and repeating patterns. Their grammatical and syntactic effects on written language were also evaluated in this investigation. The findings indicate that using emojis in writing positively correlates with emotional expressiveness. This implies that when people wish to express emotions and subtlety in their messages, they typically utilize more emoticons. They enhance digital etiquette, reduce misunderstandings, improve emotional connection, and foster cross-cultural understanding. Emoticons are a global visual language that helps people communicate, create empathy, and navigate digital communication.
Interpersonal Meanings in Nike's “Winning Isn’t for Everyone” Instagram Campaign Ilma Alfi Rahmi; Zulprianto Zulprianto; Eva Najma; Zulfakhri Dt. Majo Datuk
Andalas International Journal of Socio-Humanities Vol. 8 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijosh.v8i1.95

Abstract

This study examines how mood structure in Nike’s Winning Isn’t for Everyone campaign constructs interpersonal meaning between the brand and its audience. Drawing on Systemic Functional Linguistics (SFL) as proposed by Halliday and Matthiessen (2014), the study employs a qualitative descriptive approach. The data consist of 72 clauses derived from 53 Instagram captions posted on Nike’s official account under the hashtag #WinningIsntForEveryone. The captions were selected through clause segmentation, focusing on the primary caption content while excluding tagging elements. The findings reveal that declarative clauses are dominant (70.9%), followed by imperative clauses (27.7%), with interrogative clauses occurring minimally (1.4%). In terms of polarity, positive clauses account for 90.3% of the data, whereas negative clauses represent 9.7%. These patterns indicate that the campaign primarily relies on declarative mood and positive polarity to construct an encouraging and engaging interpersonal relationship with its audience.