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Journal International of Lingua and Technology
Published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
ISSN : 2830487     EISSN : 2830456X     DOI : https://doi.org/10.55849/jiltech
Core Subject : Education,
Education Languange, Linguistic, Communication & Media
Journal International of Lingua and Technology is published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia. is an international peer reviewed and open access journal in language education. The aim is to publish conceptual and research articles that explore the application of any language in teaching and the everyday experience of language in education. Its scope is international in that it welcomes articles from academics, researchers, graduate students and policy makers. All articles should be in English. The scope of journal: assessment and testing in language learning and education; technology in language learning; language learning media; applied linguistics methodologies and issues; classroom language teaching issues; all language -related learning technologies; culture and power in language education; language curriculum development and implementation; effective methods for language teaching; diversity, multiculturalism and language education; gender, language and higher education; language skills, development, and issues; language learning and identity; literacy, bilingualism and bilingual education; and teacher training, gender and equality in language education.
Arjuna Subject : Umum - Umum
Articles 13 Documents
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Search results for , issue "Vol. 4 No. 1 (2025)" : 13 Documents clear
The Influence of Natural Language-Based Chatbot Usage on User Experience in Online Customer Service Jumriyah, Jumriyah; Nizam, Zain; Idris, Haziq
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.821

Abstract

The rapid development of artificial intelligence has led to an increased use of natural language-based chatbots in various industries, particularly in online customer service. These chatbots have become essential tools for improving customer engagement, providing timely support, and enhancing the overall user experience. However, despite their growing popularity, the impact of chatbot usage on user experience in online customer service remains underexplored. This study investigates the influence of natural language-based chatbot usage on user experience in online customer service settings. The research aims to evaluate how chatbot interactions affect customer satisfaction, ease of use, and perceived efficiency in addressing customer queries. A mixed-methods approach was employed, utilizing quantitative surveys and qualitative interviews with users who interacted with a natural language-based chatbot on an e-commerce platform. The data collected were analyzed to assess the correlation between chatbot usage and user experience. The results revealed that users who interacted with the chatbot reported higher levels of satisfaction and perceived efficiency compared to those who used traditional customer service methods. The ease of use and quick response times contributed to positive user experiences, although some users expressed concerns about the chatbot’s ability to handle complex queries. The study concludes that natural language-based chatbots can significantly improve user experience in online customer service, but further improvements are needed to enhance their capabilities in addressing more complex issues.
Multimodal Sentiment Analysis in Indonesian: A Comparative Study of Deep Learning Models for Hate Speech Detection on Social Media Muhammadiyah, Mas’ud; Xiang, Yang; Na, Li; Nishida, Daiki; Prayudani, Santi
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.824

Abstract

With the rapid expansion of social media, the prevalence of hate speech has become a critical issue, particularly in the context of Indonesian language and culture. The detection of hate speech in social media platforms is a complex task due to the multimodal nature of online communication, where text, images, and videos are often combined to express sentiments. This study aims to explore and compare deep learning models for multimodal sentiment analysis, focusing on their effectiveness in detecting hate speech in Indonesian social media content. By analyzing both textual and visual data, the study seeks to enhance the accuracy of sentiment classification, specifically identifying instances of hate speech. The research employs several state-of-the-art deep learning models, including Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Transformer-based models, to perform sentiment analysis on a multimodal dataset. The dataset includes text and images from Indonesian social media posts, labeled for hate speech detection. The results show that multimodal models outperform text-only models, with the Transformer-based model yielding the highest accuracy and F1-score in detecting hate speech. The inclusion of visual data significantly improved the model’s ability to classify complex and subtle expressions of hate speech. This study concludes that multimodal deep learning models offer a promising solution for detecting hate speech in Indonesian social media, with implications for better content moderation and online safety.
Language in the Metaverse: A Study on Social Interaction, Identity Formation, and Reality Construction in Immersive Virtual Environments Khoiriyah, Khoiriyah; Costa, Bruna; Rocha, Thiago
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.827

Abstract

The metaverse, an immersive virtual environment that blends augmented and virtual reality, is rapidly gaining popularity as a space for social interaction and digital identity formation. As users engage in these virtual spaces, language plays a critical role in shaping interactions, constructing identities, and influencing perceptions of reality. This study explores how language is used in the metaverse to facilitate social interactions, contribute to the formation of virtual identities, and impact users’ construction of reality in these immersive environments. The primary objective of this research is to examine how language functions in the metaverse, focusing on the role of communication in virtual spaces for socializing, self-representation, and the construction of a shared virtual reality. Using a mixed-methods approach, this study combines qualitative interviews with metaverse users and quantitative analysis of language use in virtual environments. The results indicate that language in the metaverse plays a fundamental role in building social connections, creating and negotiating identities, and constructing a sense of reality in the virtual world. Users reported that the language used in the metaverse helps them define their virtual selves, interact with others, and navigate the complexities of the virtual space. This study concludes that language is not only a tool for communication but also a powerful medium for shaping both virtual identities and perceptions of reality in immersive environments.  

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