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All Journal Jurnal Riset Rumpun Ilmu Bahasa (JURRIBAH) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Blaze: Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Octavia Amelia
Unknown Affiliation
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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ANALYSIS OF THE USE OF CODE MIXING IN INSTAGRAM POSTS AS A BRAND IMAGE STRATEGY FOR LOCAL BRANDS Lira Mey Nisa; Octavia Amelia; Nijmal Adawiyah; Yolanda Marchella
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 7 (2024): July
Publisher : Adisam Publisher

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Abstract

Through Critical Discourse analysis, the research aims to analyze the use of code-mixing in Instagram posts by Indonesian local brands and its impact on brand image. The use of code-mixing in a local brand's Instagram post is the main concern of the researcher. Using Fairclough's Critical Discourse Analysis theory, which consists of text dimensions, discourse practices, and social practices, data in the form of captions of local brands' Instagram posts from the @erigostore Instagram account were analyzed to identify patterns of code-mix use and evaluate its impact on brand image. The total data analyzed was 10 Instagram posts through Erigo's official account. The results show that code-mixing enhances Erigo's sense of modernity and practicality, proximity to Audience, professionalism, and reflects openness to global influences. This strategy reinforces Erigo's image as a brand that follows trends, is familiar with its bilingual audience, and is competitive in the international market. This research adds to the understanding of the influence of code-mixing in social media on brand image in a multicultural society.
Analyzing Speech Act on Public Sentiment in Responses to President Prabowo’s New Policies Post on Instagram Selly Sitompul; Octavia Amelia; Albert Zebua; Elyana Manurung; Meisuri Meisuri
BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan Vol. 3 No. 3 (2025): BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/blaze.v3i3.2822

Abstract

In the digital era, social media platforms like Instagram have become critical arenas for public discourse, especially in political communication. This study investigates public sentiment and expressive speech acts in Instagram comments responding to two of President Prabowo’s key policy announcements: the Free Nutritious Meal Program and the policy of direct bank transfers for regional ASN teacher allowances. Guided by Searle’s theory of speech acts, particularly expressive acts such as thanking, complementing, congratulating, deploring, condoling, apologizing, and welcoming, the study analyzes 60 purposively selected comments, 30 for each policy. The findings show that deploring dominates the discourse, with 67% in the meal program post and 73% in the ASN allowance post, indicating prevailing negative sentiment marked by criticism, disappointment, and frustration. Positive speech acts such as complimenting and thanking were present but marginal. These results highlight the importance of transparent policy implementation and the need for improved public communication strategies to address citizen concerns more effectively on digital platforms.
Analysis of the Application of Politeness Maxims and Cost-benefit in Comment Section LinkedIn Lira Mey Nisa; Tiodame Layupa Simanullang; Nijmal adawiyah; Octavia Amelia; Nabilah Siti Haniyah; Muhammad Natsir
Jurnal Riset Rumpun Ilmu Bahasa Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Bahasa
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurribah.v4i3.7014

Abstract

This study explores the use of Leech's politeness maxims and the cost-benefit principle in LinkedIn comments about job postings, aiming to understand how job seekers maintain politeness when pursuing job opportunities in a professional digital environment. The research objects used were comments in 5 job postings. Using a descriptive qualitative approach, the comments on the LinkedIn platform were analysis and classified based on the 6 maxims proposed by Leech: Tact Maxim, Generosity maxim, Approbation Maxim, Modesty Maxim, Agreement Maxim and Sympathy Maxim. The findings showed that out of a total of 31 data found, the Tact Maxim (32%) was the most common, followed by Approbation Maxim (16%), Generosity maxim (13%), Modesty Maxim (13%), Agreement Maxim (3,2%) and Sympathy Maxim (3,2%). Further cost-benefit analysis revealed that most of the comments showed a lack of politeness, focusing only on personal benefits without providing benefits to the interlocutor.
Co-Authors Albert Zebua Elyana Manurung Lira Mey Nisa Meisuri Meisuri Muhammad Natsir Nabilah Siti Haniyah Nijmal Adawiyah Selly Sitompul Tiodame Layupa Simanullang Yolanda Marchella