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Visual Communication In English Short Stories Using Artificial Intelligence (AI) M Reza Ishadi Fadillah; Devito Andharu; Rommel Utungga Pasopati; Kusuma Wijaya; Anggraeni Ramadhani; Anindya Thalita Salsabila
Gudang Jurnal Multidisiplin Ilmu Vol. 2 No. 12 (2024): GJMI - DESEMBER
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v2i12.1130

Abstract

The use of Artificial Intelligence (AI) technology to visualize the narrative of English-language short stories offers a novel approach to enriching the interpretive and aesthetic dimensions of storytelling. Utilizing BingImage.com as an AI-based image generator, textual narratives are transformed into prompts that create visual depictions of each scene. The visuals effectively reflect the mood, emotions, and settings of the story, albeit with some inconsistencies in character depictions across scenes. This exploratory approach examines correlations between narrative and visuals, scene continuity, and aesthetic accuracy. The findings indicate that AI-based visualization can create a more immersive reading experience, enhancing the reader's comprehension through relevant illustrations. This technology also provides creative interpretations that expand the artistic dimensions of short stories. Despite its potential, challenges such as maintaining visual consistency across scenes remain. These findings provide new insights into the integration of digital technology in literary transformation, paving the way for innovative future methodologies.
Code-Mixing Analysis in the Song Lyrics of “Korban Janji” by Guyon Waton: A Sociolinguistic Study Khusnul Irma; Citra Dewi Sangdia Pitaloka; Nabila Nur Ardella; Devito Andharu
Ethical Lingua: Journal of Language Teaching and Literature Vol. 13 No. 2 (2026): Volume 13 No. 2 (2026): Volume 13 No 2 Oktober 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/25409190.966

Abstract

Music is an art form that adds color to life through melody and sound. The song “Korban Janji” by Guyon Waton belongs to the dangdut genre, which has gained popularity among young people because its lyrics often relate to the listeners’ personal experiences. The researcher found a unique feature in this song—namely, the use of two languages in its lyrics: Indonesian and Javanese. This study is a descriptive qualitative research, which interprets and explains the data in detail. The lyrics of “Korban Janji” by Guyon Waton serve as the main object of the study. The sampling technique used is purposive sampling, while the triangulation method applied includes both data triangulation and theory triangulation. The data analysis technique employed is descriptive analysis, and the data were collected using two techniques: reading and note-taking. The purpose of this study is to identify the types of code-mixing found in the lyrics of “Korban Janji”, determine which languages are used, and interpret the messages conveyed through the song. The results of this study show that there is code-mixing in the lyrics, consisting of inner code-mixing (Javanese and Indonesia)