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All Journal Lingua Technica: Journal of Digital Literary Studies Jurnal Abdimas Ilmiah Citra Bakti Lingua Technica: Journal of Digital Literary Studies
Kun Andyan Anindita
Universitas PGRI Yogyakarta
Arts Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Other

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Mapping thematic patterns in Indonesian novels through concept mining and computational linguistics Kun Andyan Anindita; Susan Hockey; Tomi Wahyu Septarianto
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.128

Abstract

Background: The expansion of Indonesian novels across historical periods has produced complex and overlapping thematic formations that remain difficult to map systematically using conventional close-reading approaches. Objective: This study aims to identify dominant themes, trace their temporal shifts, and examine conceptual overlap among Indonesian novels through a computational framework. Method: Employing a digital humanities approach, the study analyzes a corpus of 30 Indonesian novels (1920-2022) using concept mining, CF-IDF weighting, semantic similarity measurement, and network analysis. Results: The findings reveal dominant thematic clusters centered on social inequality, nationalism, gender, religion, and modernization; clear temporal shifts in thematic emphasis across literary periods; and dense conceptual overlap, with social inequality functioning as a central thematic hub. Theme–theme projection and betweenness centrality analysis further demonstrate that thematic meaning emerges through relational structures rather than isolated categories. Implication: These results strengthen empirical literary analysis by integrating computational rigor with interpretive criticism. Novelty: This study introduces a replicable, network-based thematic mapping model for Indonesian novels, advancing computational literary studies in the Indonesian context.
Mapping thematic patterns in Indonesian novels through concept mining and computational linguistics Kun Andyan Anindita; Susan Hockey; Tomi Wahyu Septarianto
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.128

Abstract

Background: The expansion of Indonesian novels across historical periods has produced complex and overlapping thematic formations that remain difficult to map systematically using conventional close-reading approaches. Objective: This study aims to identify dominant themes, trace their temporal shifts, and examine conceptual overlap among Indonesian novels through a computational framework. Method: Employing a digital humanities approach, the study analyzes a corpus of 30 Indonesian novels (1920-2022) using concept mining, CF-IDF weighting, semantic similarity measurement, and network analysis. Results: The findings reveal dominant thematic clusters centered on social inequality, nationalism, gender, religion, and modernization; clear temporal shifts in thematic emphasis across literary periods; and dense conceptual overlap, with social inequality functioning as a central thematic hub. Theme–theme projection and betweenness centrality analysis further demonstrate that thematic meaning emerges through relational structures rather than isolated categories. Implication: These results strengthen empirical literary analysis by integrating computational rigor with interpretive criticism. Novelty: This study introduces a replicable, network-based thematic mapping model for Indonesian novels, advancing computational literary studies in the Indonesian context.
Mapping thematic patterns in Indonesian novels through concept mining and computational linguistics Kun Andyan Anindita; Susan Hockey; Tomi Wahyu Septarianto
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.128

Abstract

Background: The expansion of Indonesian novels across historical periods has produced complex and overlapping thematic formations that remain difficult to map systematically using conventional close-reading approaches. Objective: This study aims to identify dominant themes, trace their temporal shifts, and examine conceptual overlap among Indonesian novels through a computational framework. Method: Employing a digital humanities approach, the study analyzes a corpus of 30 Indonesian novels (1920-2022) using concept mining, CF-IDF weighting, semantic similarity measurement, and network analysis. Results: The findings reveal dominant thematic clusters centered on social inequality, nationalism, gender, religion, and modernization; clear temporal shifts in thematic emphasis across literary periods; and dense conceptual overlap, with social inequality functioning as a central thematic hub. Theme–theme projection and betweenness centrality analysis further demonstrate that thematic meaning emerges through relational structures rather than isolated categories. Implication: These results strengthen empirical literary analysis by integrating computational rigor with interpretive criticism. Novelty: This study introduces a replicable, network-based thematic mapping model for Indonesian novels, advancing computational literary studies in the Indonesian context.
PELATIHAN PRONUNCIATION BAHASA INGGRIS BAGI SISWA SMA PGRI KASIHAN YOGYAKARTA SEBAGAI UPAYA PENINGKATAN KOMPETENSI KOMUNIKASI LISAN Laser Romios; Kun Andyan Anindita; Julia Safitri
Jurnal Abdimas Ilmiah Citra Bakti Vol. 7 No. 2 (2026)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v7i2.6307

Abstract

Pengucapan (pronunciation) merupakan salah satu aspek penting dalam komunikasi bahasa Inggris yang sering menjadi tantangan bagi siswa sekolah menengah. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan pronunciation dan kepercayaan diri siswa SMA PGRI Kasihan Yogyakarta dalam berkomunikasi menggunakan bahasa Inggris. Kegiatan dilaksanakan pada Oktober 2025 melalui empat sesi pelatihan yang mencakup pengenalan bunyi vokal bahasa Inggris, latihan pelafalan, praktik berbicara, diskusi kelompok, dan pemberian umpan balik. Metode yang digunakan meliputi ceramah, demonstrasi, drilling, diskusi, dan praktik langsung. Evaluasi dilakukan melalui pretest dan posttest untuk mengukur perkembangan kemampuan peserta. Hasil kegiatan menunjukkan adanya peningkatan kemampuan siswa dalam membedakan dan melafalkan bunyi vokal bahasa Inggris secara lebih tepat, meningkatkan kelancaran berbicara, serta menumbuhkan rasa percaya diri dalam komunikasi lisan. Selain itu, peserta menunjukkan antusiasme dan partisipasi aktif selama pelatihan berlangsung. Program ini memberikan kontribusi positif dalam mendukung pengembangan kompetensi komunikasi bahasa Inggris siswa dan mendukung implementasi Kurikulum Merdeka yang berorientasi pada keterampilan komunikasi global.
Co-Authors Julia Safitri Laser Romios Susan Hockey Tomi Wahyu Septarianto