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Panel Modelling to Analyze Financial Performance On Islamic Commercial Banks Fuad Hasyim; Ningrum, Andini Dwi Kusuma; Robbani, Jundi Fikri
JIMEBIS: Scientific Journal of Students Islamic Economics and Business Vol. 4 No. 1 (2023): JIMEBIS
Publisher : Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jimebis.v4i1.279

Abstract

This research was conducted to determine the influence of CAR, NOM, OCR, FDR on Islamic Commercial Banks for the 2016-2020 period. The population of this study was all Sharia Commercial Banks in Indonesia registered with the Financial Services Authority (OJK) in 2016-2020 and obtained 12 samples that met the criteria using purposive sampling techniques. The data analysis technique uses multiple linear regression techniques of panel data with the selection of a Fixed Effect Model (FEM). The results showed that: (1) CAR has a positive effect on ROA in Islamic Commercial Banks. (2) NOM has a positive effect on ROA in Islamic Commercial Banks. (3) OCR has a positive effect on ROA. (4) FDR has a positive effect on the ROA of Islamic Commercial Banks.
Strategic bilingualism and symbolic prestige: English in Starbucks Indonesia’s Instagram marketing Fuad Hasyim
Tefla Journal (Teaching English as Foreign Language and Applied Linguistics Journal) Vol. 8 No. 2 (2026)
Publisher : Universitas Muhammadiyah Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35747/tefla.v8i2.1773

Abstract

This study examines how Starbucks Indonesia deploys English in its Instagram marketing, revealing mechanisms by which global brands sustain prestige hierarchies in multilingual digital spaces. Using mixed quantitative–qualitative discourse analysis of 60 purposively sampled posts (January 2024–December 2025), coded across Linguistic Landscape Theory, Foreign Consumer Culture Positioning, Digital Acculturation, and Symbolic Capital, the analysis identifies a hierarchical bilingual system rather than balanced code-switching. Findings show English dominates visual positions (76.7%), captions (75%), and transactional communication (56.7% CTAs), while “Indoglish” remains rare (1.7%). An inventory of 40 untranslated English terms serves as symbolic capital, with strategic exclusions (e.g., Venti) strengthening the maintenance of prestige. English density varies contextually, 86.7% in transactional content versus 51.1% in community campaigns, indicating acculturation as a tactical repertoire. The study contributes four theoretical advances: extending Linguistic Landscape Theory to digital platforms; providing empirical evidence of hierarchical language distribution; demonstrating acculturation as a context-dependent strategy; and integrating four theoretical domains into a unified model showing that prestige emerges through spatial positioning, repetition, exclusion, and contextual modulation, independent of comprehension. For global brands, the findings suggest hierarchical bilingualism is an effective strategy for balancing global prestige with local cultural competence.