Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia Jurnal Gramatika: Jurnal Penelitian Pendidikan Bahasa dan Sastra Indonesia WIDYANTARA Ranah: Jurnal Kajian Bahasa
Veni Nurpadillah
Universitas Islam Negeri Siber Syekh Nurjati Cirebon
Humanities Education Languange, Linguistic, Communication & Media

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
KONSTRUKSI WACANA KEKERASAN SIMBOLIK TERHADAP POLITIKUS PEREMPUAN INDONESIA DI MEDIA SOSIAL Ixsir Eliya; Ulfah Mey Lida; Veni Nurpadillah; Muhammad Taufiqurrahman; Wini Ranti
INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia Volume 7 Number 2 June 2026
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/indonesia.v7i2.84581

Abstract

This study explores the forms of language and mechanisms of symbolic violence against Indonesian female politicians on social media. It employs a qualitative approach with a critical linguistics framework by analyzing Instagram comments on the accounts of Puan Maharani, Zita Anjani, Widiyanti Putri Wardhana, and Mulan Jameela. Data were collected through documentation, observation, and note-taking techniques and analyzed from Bourdieu’s perspective. The findings reveal that symbolic violence manifests in three main forms: negative labeling, sexist language, and degrading or dismissive expressions. These practices operate through euphemization and censorship, which normalize violence within public discourse. The study highlights that language on social media functions as an instrument of power that perpetuates patriarchal dominance, undermines women’s professional legitimacy, and potentially hinders their political participation.
CONSTRUCTING CULTURAL IDENTITY IN BIPA PEDAGOGY: A CRITICAL DISCOURSE ANALYSIS OF AR-ENHANCED LEARNING MATERIALS BASED ON CIREBON HERITAGE Indrya Mulyaningsih; Tiwaporn Jan-Kaew; Tatik Ekawati; Veni Nurpadillah; Muhammad Arif Rahman
Jurnal Gramatika Vol 12, No 1 (2026): Spring Issue (April-September)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jg.2026.v12i1.10607

Abstract

Integrating cultural identity into Bahasa Indonesia for Penutur Asing (BIPA) pedagogy often prioritizes content enrichment over discursive and ideological engagement. This study addresses this limitation by investigating how cultural identity is constructed, depicted, and facilitated through Augmented Reality (AR) within learning materials derived from Cirebon's historical landscape for Thai learners. Employing Critical Discourse Analysis (CDA) alongside design-based research, the study scrutinizes pedagogical designs, instructional texts, visual representations, and learner feedback to identify prevailing identity discourses embedded within the technology. Results indicate that Cirebon's cultural identity is predominantly portrayed through harmonious, heritage-focused narratives emphasizing tradition and historical continuity, whereas alternative or contested identities receive minimal representation. Consequently, AR functions not merely as a technological tool but also as a semiotic mechanism that validates specific cultural interpretations and pedagogical ideologies. The study argues that AR-enhanced BIPA materials function as ideological frameworks that significantly shape learners' perceptions of Indonesian cultural identity. This research advances BIPA instruction beyond technological augmentation, advocating for critical language education that acknowledges technology's role in perpetuating cultural ideologies. It highlights the need for educators to examine how digital media shapes learners' cultural understanding critically. Future research should conduct comparative discourse analyses across diverse cultural contexts and investigate learner resistance and reinterpretation of these narratives. By examining the intersection of technology, discourse, and identity, this study contributes to a nuanced understanding of digital pedagogy in language learning, ensuring that cultural representation remains critical rather than superficial.
Makna Denotasi dan Konotasi pada Lirik Lagu dalam Album Nadin Amizah Untuk Dunia, Cinta, dan Kotornya Mayang Fakhrunnisa; Itaristanti; Veni Nurpadillah
Widyantara Vol 4 No 1 (2026)
Publisher : Ikaprobsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63629/widyantara.v4i1.202

Abstract

Penelitian ini bertujuan mendeskripsikan makna denotasi dan konotasi dalam lirik lagu pada album Untuk Dunia, Cinta, dan Kotornya karya Nadin Amizah. Metode yang digunakan adalah deskriptif kualitatif dengan data berupa lirik lagu yang diperoleh dari aplikasi Spotify. Teknik pengumpulan data meliputi simak bebas libat cakap dan teknik catat, dengan kartu data sebagai instrumen. Keabsahan data diperoleh melalui triangulasi sumber. Teknik analisis yang digunakan adalah metode padan referensial dengan teknik Pilah Unsur Penentu (PUP) dan teknik lanjutan Hubung Banding Memperbedakan (HBB). Penyajian hasil dilakukan secara informal. Hasil analisis menemukan 150 data: 46 bermakna denotasi, 48 konotasi positif, 38 konotasi negatif, dan 18 konotasi netral. Hal ini menunjukkan bahwa lirik lagu Nadin Amizah memiliki kekayaan makna, dengan dominasi makna konotatif. Dominasi ini mengindikasikan bahwa lirik tidak hanya menyampaikan makna secara langsung, tetapi juga sarat dengan nuansa emosional dan interpretatif. Hasil ini dapat dimanfaatkan sebagai bahan ajar yang relevan untuk pembelajaran puisi, karena memperlihatkan keindahan bahasa dan kekuatan makna dalam karya musik. This study aims to describe the denotative and connotative meanings found in the lyrics of the album “Untuk Dunia, Cinta dan Kotornya” by Nadin Amizah. The research employs a descriptive qualitative method, with data consisting of song lyrics obtained from the Spotify music platform. Data collection techniques include passive observation and note-taking, using data cards as the instrument. Data validity is ensured through source triangulation. The analysis uses the referential matching method with the Determining Element Sorting Technique and the comparative contrasting technique. Results are presented in an informal descriptive format.The analysis identified 150 data points: 46 denotative meanings, 48 positive connotative meanings, 38 negative connotative meanings, and 18 neutral connotative meanings. These findings indicate that Nadin Amizah’s lyrics are rich in diverse meanings, with a dominance of connotative language. This dominance suggests that the lyrics convey not only direct messages but also deep emotional and interpretative nuances. The results of this study can serve as relevant teaching materials in poetry learning, demonstrating the beauty of language and the depth of meaning found in musical works.
Gejala Hiperkorek Pada Tugas Mahasiswa yang Berbantukan Artificial Intelligence: Kajian Semantik Emah Khuzaemah; Veni Nurpadillah; Dima Azharul Fahira; Muhammad Arif Rahman
Ranah: Jurnal Kajian Bahasa Vol 14, No 2 (2025): Ranah: jurnal Kajian Bahasa
Publisher : Badan Pengembangan dan Pembinaan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/rnh.v14i2.8019

Abstract

This study aims to analyze the phenomenon of hypercorrection in students’ assignments written with the assistance of Artificial Intelligence (AI). This research employs a descriptive qualitative method. The data sources are students’ assignments produced with the help of AI applications. The data consist of text excerpts in the form of words, phrases, clauses, and sentences containing semantic errors. The research was conducted at three universities UIN Siber Syekh Nurjati, Universitas Kuningan, and Universitas Darul Ma’arif specifically in the Indonesian Language Education study program, from May to September 2024. Data were collected using the non-participatory observation method (Simak Bebas Libat Cakap) and note-taking technique. The data were analyzed using the distributional method (Metode Agih) with the Immediate Constituent Analysis technique (Bagi Unsur Langsung/BUL) and the translational equivalent method (Metode Padan Translasional) with the Determining Element Sorting technique (Pilah Unsur Penentu/PUP). The results show that from the essays produced by students across the three universities in the Ciayumajakuning region, there were 27 cases of hypercorrection errors. These errors generally occurred due to the excessive or inappropriate use of words that altered the intended meaning. Overall, the findings indicate that the use of AI in academic writing has not yet fully supported linguistic accuracy, particularly in the semantic aspect. Abstrak Penelitian ini bertujuan untuk menganalisis gejala hiperkorek dalam tugas mahasiswa yang disusun dengan bantuan kecerdasan buatan (Artificial Intelligence/AI). Penelitian ini menggunakan metode deskriptif kualitatif. Sumber data penelitian berasal dari tugas mahasiswa yang menggunakan bantuan AI dalam proses penulisannya. Data penelitian berupa penggalan teks berupa kata, frasa, klausa, dan kalimat yang mengandung kesalahan berbahasa pada tataran semantik. Penelitian dilaksanakan di tiga universitas, yaitu UIN Siber Syekh Nurjati, Universitas Kuningan, dan Universitas Darul Ma’arif pada program studi Pendidikan Bahasa Indonesia, dengan waktu pelaksanaan mulai Mei hingga September 2024. Teknik pengumpulan data menggunakan metode simak bebas libat cakap (SBLC) dan teknik catat, sedangkan analisis data dilakukan dengan metode agih menggunakan teknik Bagi Unsur Langsung (BUL) serta metode padan translasional dengan teknik Pilah Unsur Penentu (PUP). Hasil penelitian menunjukkan bahwa dari teks esai mahasiswa di tiga universitas wilayah Ciayumajakuning ditemukan sebanyak 27 data kesalahan berbahasa yang tergolong gejala hiperkorek. Kesalahan tersebut umumnya berupa penggunaan kata berlebihan atau bentuk koreksi berlebihan yang tidak sesuai dengan konteks makna. Temuan ini menunjukkan bahwa penggunaan kecerdasan buatan dalam penyusunan tugas akademik belum sepenuhnya mampu mendukung ketepatan berbahasa, khususnya pada aspek semantik.
Co-Authors Dima Azharul Fahira Emah Khuzaemah Indrya Mulyaningsih Itaristanti Ixsir Eliya Mayang Fakhrunnisa Muhammad Arif Rahman Muhammad Taufiqurrahman Tatik Ekawati Tiwaporn Jan-Kaew Ulfah Mey Lida Wini Ranti