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All Journal Jurnal Komunikasi OKARA: Jurnal Bahasa dan Sastra IJoLE: International Journal of Language Education Linguistik Indonesia Jurnal bahasa, sastra, seni, dan pengajarannya
Puspitasari, Devi Ambarwati
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Arts Humanities Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Gender Patterns in Indonesian: A Corpus Study of Personal Pronoun References “Ia” and “Dia” Hernina; Karlina, Yenny; Puspitasari, Devi Ambarwati
OKARA: Jurnal Bahasa dan Sastra Vol. 18 No. 1 (2024): OKARA: Jurnal Bahasa dan Sastra
Publisher : Center of Language Development, Institut Agama Islam Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/ojbs.v18i1.12491

Abstract

Indonesian is a language that does not have a grammatical gender feature, and this absence extends to the third-person singular pronouns. In English and many European languages, there are distinct second-person for addressing genders: male and female. The grammatical structure of Indonesian remains unchanged despite temporal shifts and the absence of gender-specific distinctions. The official Indonesian dictionary (Kamus Besar Bahasa Indonesia or KBBI) does not designate ia and dia with explicit gender distinctions, such as masculine and feminine. This research aims to discuss the masculine and feminine contextual patterns of the pronouns ia and dia within the Indonesian Corpus (Korpus Bahasa Indonesia or KOIN). The study used a dataset comprising 121.098 tokens selected from literature, national, and social categories. Identifying gender patterns in using the second-person pronouns gets the research focus on the data of 19.697 concordances of the word ia and 10.031 concordances of dia. The findings indicate that dia has a reasonably equal association with both genders, but the word ia prefers feminine references more. It clarifies the nuances of gender expression in Indonesian and explains how linguistic decisions communicate gender information.
Language Choices and Digital Identity of High School Student Text Messages in the New Capital City of Indonesia: Implication for Language Education Puspitasari, Devi Ambarwati; Karlina, Yenny; Hernina, Hernina; Kurniawan, Kurniawan; Sutejo, Sutejo; Danardana, Agus Sri
International Journal of Language Education Vol. 8, No. 1, 2024
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ijole.v8i1.63833

Abstract

This research investigates the language choices and digital identities represented in text messages exchanged by high school students in the New Capital City of Indonesia (Ibu Kota Nusantara/IKN) and the implications of these linguistic practices for language teaching. Using a corpus of messages transmitted via WhatsApp collected from 100 high school students, this study produced 2.1 million tokens of 83,414 word types. This study uses corpus linguistic analysis to investigate the distinctive features of language usage, lexical changes, and communication trends in the digital discourse of IKN high school students. Data analysis utilizes features from AntConc corpus tools, including word lists, collocations, concordances, and N-grams. Concerning the features uncovered the subtle nuances that contribute to the unique linguistic identity of the student authors. This research highlights how digital language patterns attribute individual identity within the context of IKN high school students. The data analysis discovers three linguistic patterns in the electronic texts produced by IKN High School students, reflecting their general digital identity as language users in IKN, namely (1) lexical choice, (2) orthographic selection, and (3) lexical bundles. Furthermore, the study reveals the complex construction of digital identity through language, with students negotiating social positions, connections, and personal identities via their linguistic choices in electronic texts. The research findings contribute to the implications of language teaching in the IKN area and a deeper understanding of how students within the IKN area express themselves through language in the virtual realm, thus shaping their digital identities. 
AUTHORSHIP ANALYSIS IN ELECTRONIC TEXTS USING SIMILARITY COMPARISON METHOD Puspitasari, Devi Ambarwati; Fakhrurroja, Hanif; Sutrisno, Adi
Linguistik Indonesia Vol. 42 No. 1 (2024): Linguistik Indonesia
Publisher : Masyarakat Linguistik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/li.v42i1.544

Abstract

The most recent changes to the criteria in legal process for scientific evidence have emphasized scientific methods of authorship analysis. This study examined the authorship of electronic texts using a quantitative method based on forensic stylistics and computer technologies. This study uses 300 digital texts produced by 100 authors, including 100 questioned texts (Q-text) and 200 known texts (K-text). Personal texts of WhatsApp messages are used in this study as electronic texts. Authorship analysis was conducted by tracing the n-gram and testing all the text sets using the Similarity Comparison Method (SCM). Based on the results of the word 1-gram test, the SCM accuracy was found to be quite high, ranging from 85% to 96%. The findings of employing the tiny set are promising, with the various stylistic traits offering dependable accuracy ranging from 92% to 98.5%. The character-level n-gram tracing indicates a key feature of authorship attribution.
Pola tuturan perundungan siber (cyberbullying) di kalangan pelajar Indonesia Sukma, Bayu Permana; Puspitasari, Devi Ambarwati; Afiyani, Siti Afni; Okitasari, Indah; Palupi, Dian; Kusumawardani, Fani; Khatimah, Husnul; Prayoga, Reza Amarta
Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya Vol. 49, No. 2
Publisher : citeus

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Abstract

Language evidence is consulted in dealing with cyberbullying cases. Linguistic analysis is used to reveal the nature of speech and cyberbullying expressions that have legal implications. This study aimed to find the speech patterns used by students in cyberbullying, identify the features of insults in cyberbullying speech, and identify the legal implications of cyberbullying speech on social media. 504 speech data were collected from Facebook and Twitter from January to April 2020. They were all written in social media accounts of Indonesian high school students. The cyberbullying speech data was analyzed qualitatively using forensic linguistics analysis, i.e., analyzing the linguistic aspects of social media speech data with linguistic theory, particularly speech act theory. Results of the linguistic analysis were then linked to the legal implication of the social media speech. The analysis shows that four general patterns of cyberbullying speech are found, Head Act, Head Act - Supportive Move, Supportive Move - Head Act, and Supportive Move - Head Act - Supportive Move. In addition, three features of insults in cyberbullying are found: the use of pejorative words or phrases, the use of words or phrases with negative connotations, and the use of 'reply' or 'mention' features. The patterns of cyberbullying speech found in this study indicate that the insulting effects of different word or phrase formulation vary. However, they all may have legal implications, especially the violations of Law of Information and Electronic Transaction (UU ITE), particularly Article 27 Paragraph (3) regarding insults and defamation. Alat bukti kebahasaan sangat diperlukan dalam penangangan kasus perundungan siber. Pembuktian tuturan perundungan siber dilakukan melalui hasil analisis linguistik yang mampu menunjukkan hakikat pertuturan dan ekspresi perundungan yang berimplikasi hukum. Tujuan penelitian ini adalah menemukan pola tuturan yang digunakan oleh pelajar dalam melakukan perundungan siber, mengidentifikasi fitur ekpresi penghinaan yang terkandung dalam tuturan perundungan siber, dan mengidentifikasi implikasi hukum tuturan pada perundungan siber di media sosial. 504 data tuturan yang berasal Instagram dan Twitter diambil pada rentang waktu Januari hingga April 2020. Seluruh data tuturan tersebut ditulis oleh akun pelajar sekolah menengah di Indonesia. Analisis data kualitatif dilakukan untuk mengkonfirmasi data tuturan perundungan siber dengan telaah linguistik forensik, yakni menganalisis aspek kebahasaan data tuturan media sosial dengan teori linguistik, khususnya teori tindak tutur. Hasil analisis linguistik kemudian dihubungkan dengan aspek implikasi hukum dari tuturan media sosial tersebut. Berdasarkan hasil analisis, ditemukan empat pola umum tuturan perundungan siber, yaitu head act, head act - supportive move, supportive move - head act, dan supportive move - head act - supportive move. Selain itu ditemukan pula tiga fitur ekspresi penghinaan dalam tuturan perundungan siber, yaitu penggunaan kata atau frasa peyoratif, penggunaan kata atau frasa berkonotasi negatif, dan penggunaan fitur membalas (reply/mention). Pola tuturan perundungan siber yang telah ditemukan dalam penelitian ini menunjukkan perbedaan efek penghinaan yang ditimbulkan dari formulasi kata atau frasa, namun semua tuturan tersebut memiliki potensi implikasi hukum, khususnya pelanggaran UU ITE, utamanya pasal 27 ayat (3) tentang penghinaan dan pencemaran nama baik.
Introducing CILLCO: A corpus model of vernacular Indonesian as a cultural capital Puspitasari, Devi Ambarwati; Pradita, Intan; Sukma, Bayu Permana; Karlina, Yenny
Jurnal Komunikasi Vol. 20 No. 1 (2026): VOLUME 20 NO 1 APRIL 2026
Publisher : Program Studi Ilmu Komunikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/komunikasi.vol20.iss1.art10

Abstract

Despite Indonesia's extraordinary linguistic diversity, the communicative realities of vernacular Indonesian remain significantly underrepresented in existing corpus resources, most of which privilege formal and written registers. This study introduces CILLCO (Corpus of Indonesian Language, Linguistics, and Communities), a multimodal digital corpus jointly developed by the Research Center for Language, Literature, and Community at the National Research and Innovation Agency (BRIN) and the English Department of Universitas Islam Indonesia (UII), with the objective of documenting and analyzing vernacular language varieties as they occur in everyday spoken, digital, and community contexts. CILLCO was constructed using a multi-component design grounded in the Lancaster corpus methodology. CILLCO integrates three primary data streams such as spoken vernacular, digital vernacular, and community narrative texts that were collected through field recording, web scraping, and community collaboration across five macro-regions of Indonesia. As of 2025, the corpus comprises approximately 2 million tokens annotated through a layered framework that includes tokenization, part-of-speech tagging, morphological analysis, sociolinguistic metadata, and pragmatic discourse marking. Results reveal that vernacular Indonesian is characterized by systematic morphosyntactic simplification, a rich inventory of pragmatic particles showing regional variation, orthographic play in digital communication, and extensive code-mixing with English and regional languages. These findings demonstrate that colloquial Indonesian constitutes a coherent, rule-governed linguistic system rather than a deviation from standard norms. The implications of this study extend across corpus linguistics, communication studies, and digital humanities, offering an empirical foundation for investigating language use, identity, and sociocultural change in Indonesia and, more broadly, for decentered, corpus-driven communication research in Southeast Asia.
Co-Authors Adi Sutrisno Afiyani, Siti Afni Bayu Permana Sukma Danardana, Agus Sri Fakhrurroja, Hanif Hernina Hernina, Hernina Husnul Khatimah Intan Pradita Karlina, Yenny Kurniawan Kurniawan Kusumawardani, Fani okitasari, indah Palupi, Dian Reza Amarta Prayoga Sutejo Sutejo