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All Journal JLA (Jurnal Lingua Applicata) Jurnal Vokasi Indonesia
Yuanti, Erlin Estiana
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Humanities Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Other

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PENYUSUNAN KURIKULUM BLOK BAHASA INGGRIS VOKASIONAL Yuanti, Erlin Estiana; Vardhani, Nabilla Kusuma
Jurnal Vokasi Indonesia Vol. 9, No. 1
Publisher : UI Scholars Hub

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Abstract

This research aims at designing vocational block curriculum for Bachelor of Applied English Vocational College (BAE SV) UGM to assure the achievement of the study program’s competences based on the Independent Campus policy (MBKM) and to produce English Specialists in Public Relations as its graduate profile. The research employs qualitative method, using Research and Development approach in the three stages done, such as: (1) library study, (2) designing the block curriculum, and (3) validating the curriculum design by holding FGD with stakeholder users. The research produces a vocational English block curriculum based on CEFR Level C1 and SKKNI No.629/ 2016 on Public Relations (PR). There are four (4) blocks focusing on the skills of English for specific purposes in the first year, and four (4) blocks on the skills of English for public relation skills in the second year. In the third year, there is one (1) block of Interdisciplinary Skills, one (1) block of Research Skill and Academic English Writing skill. In the fourth year, there is one (1) block for Internship as a form of Independent Campus scheme and one (1) block for Final Project Writing as the requirement for graduation.
The Use of Code-Mixing in Instagram Captions of a B2B Logistics Company Di Jogjana, Najla Aprilia; Yuanti, Erlin Estiana
JLA (Jurnal Lingua Applicata) Vol 9, No 1 (2025)
Publisher : DBSMB, Vocational College of Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jla.114156

Abstract

This research investigates the use of code-mixing in the Instagram captions of Brand X, a B2B logistics company, focusing on its posts from August 2023 to March 2024. The study aims to identify the types and forms of code-mixing, determine the most frequently used types, and analyze their functions within Brand X's social media strategy. Using a descriptive qualitative approach, the study employed AntConc as a corpus analysis tool analyzing the frequency of the occurrence of the code-mixing, both in word and phrase levels. An in-depth interview with Brand X's digital content strategist was also conducted to support the analysis. The research is grounded on Muysken's (2000) theory of code-mixing classification and Hoffmann's (1991) theory of code-mixing functions. The findings reveal that single-word insertion is the most dominant type  of code-mixing, accounting for 56.59% of occurrences, followed by phrase insertion at 42.93%, while alternation is the least frequent at only 0.49%. The identified functions of code-mixing align with the  content strategist’s statement, which are to address specific topics and express group identity. This study concludes that even B2B companies utilize code-mixing in copywriting and social media marketing to engage audiences and reinforce brand identity.
Co-Authors Di Jogjana, Najla Aprilia Vardhani, Nabilla Kusuma