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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

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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/lingtech.v2i2.156

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/lingtech.v2i2.156

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.

Visual piety in public space: Islamic aesthetics, moral messaging, and spatial authority in Indonesian streetscapes Devita Septian Dwi Hidayati
Indonesian Journal of Language, Space, and Visual Arts Vol. 1 No. 3 (2026): Vernacular spaces, visual cultures, and everyday semiotics in Indonesia
Publisher : CV Narasi Khatulistiwa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67490/ijls.v1i3.1063

Background: Indonesian streetscapes increasingly display Islamic calligraphy, Ramadan banners, halal-oriented signs, sacred symbols, and public moral warnings, yet these visual forms remain insufficiently examined as spatial practices through which piety, authority, and belonging become publicly legible. Objective: This study investigates how Islamic aesthetics, moral messaging, and spatial authority are constructed through visual-textual signs in Indonesian public streetscapes. Method: This study applies qualitative multimodal discourse analysis, linguistic landscape analysis, and geosemiotic coding to a 40-item corpus, with closer analysis of 18 primary visual-text items from publicly verifiable institutional and media sources. Results: Islamic public aesthetics appear mainly through processional Ramadan visibility, regulatory banners, sacred lettering, seasonal greetings, symbolic objects, and civic-religious event branding. Moral messaging operates through invitation, prohibition, remembrance, welcome, symbolic evocation, and civic celebration, showing that public piety is both affective and disciplinary. Spatial authority is produced through layered communal, police, religious-textual, governmental, symbolic, and civic-event voices rather than through a single institutional source. Implication: These findings show that Indonesian streetscapes function as negotiated moral-visual environments where ordinary public space is temporarily and materially reorganized by religious signs. Novelty: This study advances visual piety research by integrating multimodal-geosemiotic mapping, moral-message typology, and spatial-authority analysis within Indonesian linguistic landscape scholarship.

Code-switching as a computational problem: modeling Indonesian–English digital talk beyond monolingual assumptions Devita Septian Dwi Hidayati
Indonesian Journal of Computational Language Studies Vol. 1 No. 3 (2026): Computational sociolinguistics, speech, and digital discourse in Indonesia
Publisher : CV Narasi Khatulistiwa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67490/ijcl.v1i3.1027

Background: Indonesian–English digital talk increasingly exposes the limits of language technologies that assume stable monolingual input, because switch-points often carry stance, affect, technical meaning, platform practice, and identity across compact social media utterances. Objective: This study examines how Indonesian–English code-switching can be modeled as a computational problem without reducing mixed-language digital utterances to noise, error, or preprocessing residue. Method: Using a corpus-based qualitative-computational design, this study analyzes 15 coded public digital text records through token-level language identification, switch-point mapping, normalization–translation alignment, and pragmatic-computational risk coding. Results: Code-switching appears as structured multilingual practice, with English segments functioning as evaluative phrases, technical labels, platform commands, fandom markers, and discourse-sequence devices within Indonesian frames. Normalization and translation are shown to be interpretive operations, because full correction or translation may flatten sentiment scope, register, and locally meaningful hybrid forms. Monolingual processing risks forced single-language labeling, technical mistranslation, discourse-sequence loss, and representational distortion for multilingual users. Implication: These findings reposition computational adequacy as a question of meaning preservation, not merely model accuracy or benchmark coverage in a low-resource Indonesian digital context for language technologies. Novelty: This study offers an integrated framework that links linguistic switching structure, preprocessing risk, and accountable multilingual NLP representation.

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