Tomi Wahyu Septarianto
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Analisis Tindak Tutur Lokusi pada Video Bertema Mental Health dalam Saluran Youtube Satu Persen Indonesia Life School Choirunnisa Aprilia; Fathiya Salama; Haula Inayatul Ilahiyah; Natasya Intan Maharani; Surya Maulana; Yesica Mai Tuwanti Br Purba; Asep Purwo Yudi Utomo; Tomi Wahyu Septarianto
Perspektif : Jurnal Pendidikan dan Ilmu Bahasa Vol. 3 No. 1 (2025): Jurnal Pendidikan dan Ilmu Bahasa
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/perspektif.v3i1.2097

Abstract

Every human being must have interactions between individuals, so a means of communication is needed by using language and various tools used to convey information. The purpose of this study is to analyze speech acts that contain locution in the YouTube channel One Percent - Indonesia Life School which discusses mental health issues or Mental Health. This method is used to describe a group of speech acts among the content writers of Satu Persen Indonesia Life School. This analysis is carried out by looking at the video properly, correctly, and carefully so as to produce accurate data in accordance with the creator's speech in the learning video. Locution speech act is a speech act that functions as an utterance that states something without the intention of doing something or influencing its partners. The results revealed three categories of locutionary speech acts, namely news locution, command locution, and question locution, with a total of 20 locutions identified. News locution is the most dominant categorinterak 13 speech acts, while command locution and question locution are 13 each. This research makes a theoretical contribution to the development of linguistics, especially in the field of pragmatics. The method used is the pragmatic approach, this approach focuses on how language and literary texts are used in certain social and cultural situations, as well as how the meaning of the text is understood.
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.