Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Didaktik : Jurnal Ilmiah PGSD STKIP Subang Lingua Technica: Journal of Digital Literary Studies Lingua Technica: Journal of Digital Literary Studies
Devita Septian Dwi Hidayati
Universitas Pembangunan Nasional "Veteran" Jawa Timur
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Makna Aktivitas Leksem Sapaan Orang dalam Bahasa Jawa Dialek Kemantren, Mojokerto: Analisis Kompenensial Devita Septian Dwi Hidayati
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 04 (2025): Volume 11 No. 04 Desember 2025 Published
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to explore the definitive meanings of forms of address used by the community of Kemantren Village, Mojokerto, and to analyse the differences and similarities in the meanings of each lexeme of address using compositional analysis methods. This study uses data in the form of 16 lexemes of address obtained from researchers who are native speakers of Javanese. Data collection was conducted introspective based on the instincts of native speakers who had lived in the environment. The data was then corroborated through interviews with the researcher's mother and sister. The results of this study are 16 definitions of greeting lexemes in the Kemantren dialect of Mojokerto.
Reading synthetic fiction: narrative coherence, aesthetic judgment, and reader trust in AI-generated literature Devita Septian Dwi Hidayati
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 2 (2026): Meta-literature: between authorship and machine-mediated literary creativity
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/yhrhqe47

Abstract

Background: AI-generated fiction has become increasingly readable, yet its literary acceptance depends on more than fluency, because readers must also perceive coherent organization, aesthetic purpose, and trustworthy narrative agency across platforms, classrooms, publishing experiments, and increasingly ordinary digital reading environments worldwide today. Objective: This study investigates how narrative coherence, aesthetic judgment, and reader trust interact in the reception of synthetic fiction. Method: This study applies a qualitative-dominant comparative design to twelve English-language AI-generated short stories, combining a six-dimensional coherence matrix, a six-dimensional aesthetic rubric, and a six-dimensional trust framework with preserved reader-ranking metadata. Results: Most narratives sustained event sequence, temporal continuity, entity stability, and closure, although causal linkage remained comparatively uneven. Aesthetic evaluation was weaker than coherence, particularly in emotional resonance, interpretive depth, and imagery, while originality and stylistic control varied across models. Reader trust was strongest at the level of narrative reliability but declined when authenticity, intentionality, literary legitimacy, continuation, and recommendation were considered. Implication: These findings indicate that readable synthetic fiction may remain only conditionally literary when formal coherence is not accompanied by aesthetic distinction and perceived purpose. Novelty: This study advances an integrated reader-centered framework that separates intelligibility, literary valuation, and trust while preserving their analytical interdependence.
Reading synthetic fiction: narrative coherence, aesthetic judgment, and reader trust in AI-generated literature Devita Septian Dwi Hidayati
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 2 (2026): Meta-literature: between authorship and machine-mediated literary creativity
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/yhrhqe47

Abstract

Background: AI-generated fiction has become increasingly readable, yet its literary acceptance depends on more than fluency, because readers must also perceive coherent organization, aesthetic purpose, and trustworthy narrative agency across platforms, classrooms, publishing experiments, and increasingly ordinary digital reading environments worldwide today. Objective: This study investigates how narrative coherence, aesthetic judgment, and reader trust interact in the reception of synthetic fiction. Method: This study applies a qualitative-dominant comparative design to twelve English-language AI-generated short stories, combining a six-dimensional coherence matrix, a six-dimensional aesthetic rubric, and a six-dimensional trust framework with preserved reader-ranking metadata. Results: Most narratives sustained event sequence, temporal continuity, entity stability, and closure, although causal linkage remained comparatively uneven. Aesthetic evaluation was weaker than coherence, particularly in emotional resonance, interpretive depth, and imagery, while originality and stylistic control varied across models. Reader trust was strongest at the level of narrative reliability but declined when authenticity, intentionality, literary legitimacy, continuation, and recommendation were considered. Implication: These findings indicate that readable synthetic fiction may remain only conditionally literary when formal coherence is not accompanied by aesthetic distinction and perceived purpose. Novelty: This study advances an integrated reader-centered framework that separates intelligibility, literary valuation, and trust while preserving their analytical interdependence.
Co-Authors