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Analisis Semiotika Roland Barthes dan Nilai Moral dalam Geguritan Tandur Karya Widodo Basuki Pramudiyanto, Ahmad; Dhamina, Serdaniar Ita; Setyanto, Suroto Rosyd; Sari, Fitriana Kartika
DIWANGKARA: Jurnal Pendidikan, Bahasa, Sastra dan Budaya Jawa Vol 4 No 2 (2025): Februari
Publisher : STKIP PGRI Ponorogo Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60155/dwk.v4i2.511

Abstract

This research examines the moral values contained in the geguritan entitled Tandur by Widodo Basuki in 2022. Geguritan is a literarature that uses many figurative words and diction with connotative meanings, so semiotic analysis is needed to find out the meaning in it. The analysis of moral values in this Tandur geguritan uses semiotic theory according to Roland Barthes. Barthes divides meaning in semiotics into three, namely denotative, connotative and mythical meanings. The data in this study are the meaning and moral values in the Tandur geguritan. Data source is the Tandur geguritan published in the geguritan anthology entitled Guritan Wah Kumpulan Guritan Gagrak Anyar which was published in May 2022. The data collection technique uses the reading and note technique, while the analysis uses content analysis. The results of the analysis using semiotic theory are the denotative, connotative and mythical meanings found in the Tandur geguritan by Widodo Basuki. Then the second result is that there are four moral values referring to the results of the meaning analysis using semiotic theory.
Needs Analysis of AI-based Smart English Conversation Application for EFL and Students with Disabilities Sari, Fitriana Kartika; Kurniawan, Prasetyo Yuli; Savitri, Andini Syita
Jurnal Pendidikan Kebutuhan Khusus Vol. 9 No. 2 (2025): JPKK
Publisher : Jurusan Pendidikan Luar Biasa Fakultas Ilmu Pendidikan Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpkk.v9i2.1391

Abstract

This study aimed to analyze the needs of EFL students and students with disabilities for the development of a Smart English Conversation application based on AI. Using a descriptive qualitative approach, data were collected through interviews with three English lecturers teaching inclusive classes and 60 of EFL students and 20 students of disabilities. he results revealed that lecturers acknowledged the potential of AI-based media to enhance speaking skills but had limited experience integrating them due to access restrictions and reliance on conventional materials such as textbooks and slides. Students reported several challenges in conventional learning, including lack of confidence, limited practice opportunities, insufficient disability-friendly media, and restricted lecturer time for individual feedback. Needs analysis indicated a very high demand for AI-based applications supporting speaking skills. Key features identified included adaptive speech recognition, real-time automatic feedback, inclusive accessibility features, real-life conversational simulations, and personalized learning materials. The findings highlight the urgency of developing an AI-based Smart English Conversation application that prioritizes inclusivity, interactivity, adaptability, and real-time feedback, while also integrating gamification and compatibility with existing online learning platforms.