Wiyaka Wiyaka
Universitas Persatuan Guru Republik Indonesia Semarang

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Populist Language in the Political Linguistic Landscape of the 2024 Regional Election Campaign in Central Java Nanik Setyawati; Slamet Setiawan; Widyastuti Widyastuti; Eko Satriyo Hermawan; Khazaila Zaini; Wiyaka Wiyaka
Alinea: Jurnal Bahasa, Sastra dan Pengajaran Vol. 6 No. 2 (2026): Alinea: Jurnal Bahasa, Sastra, dan Pengajaran
Publisher : Bale Literasi: Lembaga Riset, Pelatihan & Edukasi, Sosial, Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/alinea.v6i2.3379

Abstract

Populist language is increasingly employed in political communication, not only thru speeches and digital media but also in visual campaign media displayed in public spaces. This phenomenon indicates that public spaces have become arenas for the construction of political identity, the legitimation of power, and the representation of local culture. However, studies on populist language within the political linguistic landscape, particularly in visual campaign media in Central Java, remain limited. This study aims to describe the forms of populist language, identify political language strategies, and explain cultural representations in the political linguistic landscape of the 2024 regional election campaign in Central Java. This study employs a descriptive-interpretative qualitative approach based on the perspectives of linguistic landscape, populism theory, and critical discourse analysis. The data consist of 39 campaign texts purposively selected from 150 visual campaign media documented across eleven regencies and municipalities in Central Java. Data were collected thru observation and documentation and analyzed using the interactive model of Miles, Huberman, and Saldaña. The findings reveal that populist language is realized thru the use of local languages, short slogans, repetition, religious diction, popular expressions, development narratives, and populist programs closely related to the needs of local communities. The identified political language strategies include political branding, local and religious legitimation, electoral mobilization, moral imaging, and the promotion of concrete programs, while cultural representations reflect a combination of Javanese cultural values, religiosity, social solidarity, and modern orientation. This study concludes that campaign language in Central Java localizes political legitimacy thru cultural proximity, religious identity, and modern communication styles. The findings contribute to the development of language education and political literacy by enhancing understanding of the relationship between language, culture, ideology, and political communication in public spaces.
Replika-AI-Assisted English Flipped Learning: Enhancing EFL Learners’ Willingness to Communicate, Self-Regulation, and Higher-Order Thinking Skills Shella Nabilla; Lusia Maryani Silitonga; Wiyaka Wiyaka
JOLLT Journal of Languages and Language Teaching Vol. 14 No. 3 (2026): July
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v14i3.20043

Abstract

The integration of artificial intelligence (AI) in language learning has created new opportunities to enhance students’ communicative competence and cognitive skills. This study investigated the effectiveness of integrating a flipped classroom approach with a conversational agent (Replika-AI) in improving students’ willingness to communicate (WTC), self-regulation (SR), and higher-order thinking skills (HOTS) in English-speaking learning. This research employed a mixed-method approach with a quasi-experimental design involving two groups of students from the English Language Education Study Program at Universitas PGRI Semarang. The control group implemented a traditional flipped classroom model, whereas the experimental group used a flipped classroom integrated with Replika-AI. Quantitative data were collected using Likert-scale questionnaires measuring WTC, SR, and HOTS and were analyzed using analysis of variance (ANOVA) through SPSS. Qualitative data on students’ speaking performance were analyzed using Brown’s speaking assessment framework and processed with MAXQDA software. The results indicated that students in the experimental group achieved significantly higher scores in all three variables compared to those in the control group. The integration of Replika-AI had a significant impact on students’ willingness to communicate, self-regulation, and higher-order thinking skills. Qualitative findings also revealed improvements in speaking components, including comprehension, vocabulary, fluency, pronunciation, and grammar. Overall, the findings showed that combining a flipped classroom with an AI conversational agent created a more interactive and independent learning environment, which contributed to the improvement in students’ English speaking skills.