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All Journal Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Gudang Jurnal Multidisiplin Ilmu Jurnal Imiah Pengabdian Pada Masyarakat (JIPM)
Anggraeni Ramadhani
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Religion Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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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.
Penerapan Literasi Keuangan Syariah Untuk Anak Panti Asuhan Sebagai Pondasi Ekonomi Masa Depan Mustamin, Sitti Walida; Nurul Izmi Muhajir; Afifah Adliah; Arini; Anggraeni Ramadhani; M. Ridwan Syafruddin; Sri Ayu Ainun; Muhammad Aldi Naufal Saputra; Aidil Marzuki; Riski Aulia; Arjuna Amrum Amir
Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Vol 2 No 4 (2025): April - Juni
Publisher : CV. ITTC INDONESIA

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Abstract

This community service activity aims to improve Islamic financial literacy among orphanage children as an effort to equip them with the knowledge and skills needed to manage their finances wisely. In this context, Islamic financial literacy includes an understanding of the basic principles of finance in accordance with Islamic law, including savings management, investment, and avoidance of usury. This program is implemented through a series of socialization of material delivery, interactive training, and financial management simulations designed to make learning interesting and easy to understand. By improving Islamic financial literacy, it is hoped that orphanage children can build a strong economic foundation, which will not only benefit themselves, but also the community around them. Through this activity, we hope to create a generation that is more aware of the importance of good and ethical financial management, and is able to contribute to sustainable economic development in the future.
THE ROLE OF CHUNKING IN ENHANCING INTERPRETING PERFORMANCE Anggraeni Ramadhani; Dzil Fikris Shamad; Bintang Ryan Ananta; Dimas Rakhmat Sasmita; Agischa Putri Agil; Anggoro Cahyo Wicaksono; Rommel Utungga Pasopati
Seminar Nasional Hasil Riset dan Pengabdian Vol. 8 (2026): Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Ke 8 Tahun 2026
Publisher : LPPM Universitas PGRI Adi Buana

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Abstract

This study examines the role of chunking in enhancing interpreting performance through a library-based research approach. Chunking, defined as the cognitive process of grouping linguistic input into meaningful units, has been widely discussed in psycholinguistics and translation studies as a key strategy for managing working memory limitations. By reviewing existing literature on interpreting theory, cognitive processing, and language comprehension, this research highlights how chunking facilitates more efficient information processing during interpreting tasks. The findings suggest that chunking enables interpreters to segment continuous speech into manageable units, thereby improving accuracy, fluency, and retention. It is also allowing them to anticipate meaning and reduce cognitive overload. This paper synthesizes insights from books, journal articles, and previous empirical studies to demonstrate that chunking is not only a fundamental cognitive mechanism but also a trainable skill in interpreter education. In conclusion, the research underscores the importance of incorporating chunking strategies into interpreting training programs to enhance overall performance and comprehension.
Co-Authors Afifah Adliah Agischa Putri Agil Aidil Marzuki Anggoro Cahyo Wicaksono Anindya Thalita Salsabila Arini Arjuna Amrum Amir Bintang Ryan Ananta Devito Andharu Dimas Rakhmat Sasmita Dzil Fikris Shamad Kusuma Wijaya M Reza Ishadi Fadillah M. Ridwan Syafruddin Muhammad Aldi Naufal Saputra Mustamin, Siti Walidah Nurul Izmi Muhajir Pasopati, Rommel Utungga Riski Aulia Sri Ayu Ainun