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Morfosintaksis Konstruksi Verba Bahasa Jawa: Kajian Tipologi Herpindo, Herpindo; Wulandari, Sri; Ariefian, Maftukhin; Shohibul Ghoni, Ahmad; Aulia Rahman, Fandi
Deskripsi Bahasa Vol 8 No 2 (2025): 2025 - Issue 2
Publisher : Department of Languages and Literature, Faculty of Cultural Sciences, UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/db.18337

Abstract

This research is motivated by the structural form of the Javanese language, particularly its agglutinative morphology, which has the potential to exhibit morphosyntactically dynamic behavior, especially in verb constructions that serve as the core of a constituent. The method used in this research is a descriptive qualitative approach to examine the phenomenon as it exists in Javanese grammatical construction (Morphosyntactic Verb Construction). Exemplary and Distributional methods are used to analyse the data. The findings in this study show that verb construction in Javanese has the following pattern dynamics; (i) transitive active verb construction with morphological marker prefix {meN} with allomorphs {m-}, {n-}, {ng-}, and {ny-} and passive patterns into {di-}, {di-i}, {kok-}, and {tak-}; (ii) intransitive verb constructions with zero {Ø} morphemes; (iii) anti-passive ergative constructions with {ke-} and {ke-an} morphemes; and (iv) ergative with zero {Ø} constructions. The findings in this study also show that the dynamics of verb construction in Javanese are not limited to one type of grammatical behavior (typology); moreover, ergative typology appears to be a new tendency.
Deixis in Hate Speech in the 2024 Presidential Election Campaign on Social Media X: A Cyber Pragmatic Study Herpindo, Herpindo; Astuty, Astuty; Khoirul Huda, Muhammad; Shohibul Ghoni, Ahmad; Aulia Rahman, Fandi
Paramasastra : Jurnal Ilmiah Bahasa Sastra dan Pembelajarannya Vol. 13 No. 1 (2026): Paramasastra : Jurnal Ilmiah Bahasa Sastra dan Pembelajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/paramasastra.v13n1.p179-202

Abstract

The purpose of this study is to analyze the systematic use of deictic expressions in hate speech targeting presidential candidates on platform X during Indonesia's 2024 election campaign period. This research seeks to understand how linguistic mechanisms, particularly deixis, function as strategic tools for constructing power relationships, facilitating dehumanization, and undermining democratic discourse in digital political communication. The study employs a descriptive qualitative design using a cyber-pragmatic approach to analyze hate speech on social media platform X during Indonesia's 2024 presidential election campaign, with data collected through observation and screenshot documentation of linguistic phenomena containing deictic expressions, followed by analysis using note-taking techniques to identify hate speech components and their linguistic patterns. Based on the analysis of 45 hate speech incidents targeting Indonesian presidential candidates on social media platform X during the 2024 election campaign, the study reveals that Prabowo Subianto-Gibran Rakabuming Raka received the highest targeting (44.4%), followed by Anies Baswedan-Muhaimin Iskandar (37.8%), with insults and profanity comprising the dominant category (34.8%) of hate speech. The deictic analysis demonstrates that social deixis shows the strongest correlation with ethnic attacks and stereotyping, while systematic dehumanizing language patterns vary distinctly across candidate pairs, reflecting deep political polarization facilitated through strategic linguistic positioning mechanisms. The systematic distribution of hate speech through deictic linguistic strategies during Indonesia's 2024 presidential election campaign, which disproportionately targeted certain candidates through social deixis-facilitated ethnic attacks and dehumanization, necessitates the immediate implementation of AI-powered pattern recognition systems, real-time monitoring protocols, and comprehensive digital literacy programs to protect democratic discourse integrity and safeguard future electoral processes.