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This Author published in this journals
All Journal Humanus: Jurnal ilmiah Ilmu-ilmu Humaniora IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Language Literacy: Journal of Linguistics, Literature, and Language Teaching
Dwi Kurnia Surya Ningrum
Universitas Sumatera Utara
Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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EXPLORING LINGUISTIC COMPETENCE IN ACADEMIC TEXT TRANSLATION BY PROFESSIONALS Dwi Kurnia Surya Ningrum; Rudy Sofyan; Erikson Saragih
Language Literacy: Journal of Linguistics, Literature, and Language Teaching Vol 8, No 1: June 2024
Publisher : Universitas Islam Sumatera Utara (UISU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/ll.v8i1.9277

Abstract

This study aimed to explore linguistic competence in academic text translation by professionals, focusing on their awareness, dominant linguistic competence and strategies, and the impact of Machine Translation (MT) and AI-driven software on their workflow. The research utilized the PACTE TC’s model (2003), which includes pragmatic, sociolinguistic, textual, grammatical, and lexical sub-competences. A qualitative research design by Creswell Creswell (2018) with a descriptive method was employed to delve deeply into the subjective experiences of professional translators.  The surveys were conducted via Google Form from March to April 2024. The results indicate that the respondents demonstrated high awareness of linguistic competence, particularly in pragmatic, sociolinguistic, textual, grammatical, and lexical aspects. Respondents identified linguistic challenges such as lexical, textual, and sociolinguistic issues. Strategies to overcome these challenges included using online resources, human checks, and continuous learning. The results also show varied attitudes towards MT and AI, with some translators embracing these tools for efficiency and others preferred manual methods. MT and AI were perceived to enhance translation quality, especially in grammar accuracy and efficiency. However, the study’s limitations highlight the need for future research on the effectiveness of different MT and AI tools, balancing technological assistance with human expertise, and the impact of training programs.
Basic Colors in Javanese and Indonesian Languages: Natural Semantic Metalanguage Theory Dwi Kurnia Surya Ningrum; Christanta Rejuna Phanes S Brahmana; Mulyadi Mulyadi
Humanus: Jurnal Ilmiah Ilmu-ilmu Humaniora Vol 23, No 1 (2024)
Publisher : Pusat Kajian Humaniora FBS Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/humanus.v23i1.126103

Abstract

This study explores the variety of basic colors in the Javanese language and aims to elucidate their meanings using the Natural Semantic Metalanguage Theory. Employing a qualitative research paradigm, data were collected from various sources, including Indonesian and Javanese dictionaries, LCC Indonesian 2022 and LCC Javanese corpus from CQPWeb. The study identifies 10 basic colors in Javanese, namely Ireng (black), Putih (white), Abang (red), Ijo (green), Kuning (yellow), Biru (blue), Soklat (brown), Wungu (purple), Jambon (pink), and Klawu (gray), while Indonesian has only six basic colors: Hitam (black), Putih (white), Merah (red), Kuning (yellow), Hijau (green), and Biru (blue). Utilizing the features of the Natural Semantic Metalanguage (NSM) theory and the Basic Color Term approach by Berlin and Kay, the study analyzes the Javanese colors. The research highlights differences in color explications between Javanese and Indonesian, stemming from variances in using semantic atoms to explain color meanings. For instance, in Javanese, the color black is explicated using a spice herb named "temuireng" and yam, while in Indonesian, it is explained using charcoal. Additionally, certain secondary colors in Indonesian, such as Brown, Purple, Pink, and Grey, are considered basic colors in Javanese. The findings contribute to the advancement of color studies in semantics.
Visualizing Personal Branding: A Multimodal Analysis of 'Flexing' in Instagram Christanta Rejuna Phanes S Brahmana; Dwi Kurnia Surya Ningrum; Alemina Br. Perangin-angin
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 11 No. 2 (2023): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v11i2.4236

Abstract

This study delves into the dynamic phenomenon of "flexing" in personal branding, focusing on online store owners and their strategic utilization of this behaviour on Instagram. This study employs qualitative research methods to analyze the multimodal elements that constitute "flexing" and its implications within online store owners. Findings reveal that "flexing" is not merely an exhibition of wealth but a powerful tool wielded by online store owners to strengthen their personal branding efforts. This strategic use of "flexing" has the potential to increase brand recognition, customer engagement, and sales. The study not only contributes to the understanding of this aspect of online entrepreneurship but also underscores the importance of multimodal analysis in deciphering the complexities of digital personal branding. These findings will inspire further exploration in this field and encourage online entrepreneurs to harness "flexing" for enhancing their online presence and business prosperity.
Co-Authors Alemina Alemina Christanta Rejuna Phanes S Brahmana Erikson Saragih Mulyadi Mulyadi Rudy Sofyan