Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Journal of English Language and Education TOFEDU: The Future of Education Journal
Andang Saehu
UIN Sunan Gunung Djati
Education Languange, Linguistic, Communication & Media Mathematics Other

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

Found 4 Documents
Search

 1 
Artificial Intelligence on ELT for Literature Studies Rizkia Shafarini; Ice Sariyati; Andang Saehu
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.v11i2.4333

Abstract

Technology has advanced at a rate never before seen in the 21st century, with artificial intelligence (AI) emerging as one of the most significant developments of our time. This rapid integration of AI into various aspects of our lives has not spared the realm of education, particularly English Language Teaching (ELT). Literature studies have traditionally been characterized by the human-centric approach, where educators and scholars engage in close readings, discussions, and interpretations of literary works. However, the advent of AI technologies has introduced a paradigm shift, redefining how literature is taught, analyzed, and appreciated. The intersection of Artificial Intelligence (AI) and English Language Teaching (ELT) within the context of literature studies is a dynamic and evolving field that has garnered increasing attention in recent years. The research is conducted to investigate and understand how artificial intelligence (AI) impacts English language teaching (ELT) in the context of literature studies. The researcher employed a qualitative research approach for this investigation. A naturalistic setting is used in qualitative research, which focuses on analyzing contemporary phenomena using diverse techniques like interviews, observations, and literature studies. The result of this study that artificial intelligence's (AI) influence on English language instruction (ELT) in the context of literary studies reveals a complicated and dynamic terrain. 
The Translation Variations and Quality of Wh-Question in Daily Routines Expressions Azis Abdul Gofur; andang saehu; Ujang Suyatman
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 12 No. 1 (2024): 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.v12i1.5088

Abstract

This study aims at reporting the translation variations and qualities provided to wh-questions of daily routine expressions. The study employed descriptive qualitative research method to reveal translation methods and accuracy level produced by 10 students in resulting the translation variations of wh-questions in daily routine expressions. 10 data were collected from Anwarsyah’s book (2019) consisting of what-question (02), who-question (01), when-question (03), where-question (01), why-question (01), and how-question (02).  The findings of study show that the majority of students (06) applied transposition mixed with modulation translation techniques. Meanwhile, the rests (04) used literal and free translation methods. Although they have demonstrated their ability to apply various translation strategies, the quality of their translations remains at a moderate level. This is evidenced by the analysis results, which show that their translations are lacking in accuracy, acceptability, and readability.
AI as a Speaking Partner: Exploring Students’ Experiences of Practicing English Conversations with Stimuler Raden Viranty Kamilatul Fasa; Gisna Auliya; Andang Saehu; Cipto Wardoyo
The Future of Education Journal Vol 5 No 2 (2026): Continued
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v5i2.1912

Abstract

Aimed to explore students' experience in using Artificial Intelligence (AI), particularly Stimuler, as a speaking partner in practicing conversation using English. The study is grounded in the limited opportunities for speaking practice, such as the low confidence and anxiety commonly experienced by EFL students. This study employed a qualitative descriptive method involving four students who were selected through purposive sampling from various majors. The data from this study were collected through semi-structured interviews and analyzed using thematic analysis. The study shows that using AI, specifically Stimuler, as a speaking partner offers several benefits, as reflected in the themes: AI as a Safe and Low-Anxiety Speaking Environment, Enhancing Students' Speaking Development, and Flexibility and Accessibility of AI-Based Learning. However, there are also limitations, especially in natural interaction and its limitations in replacing humans in conversation. All in all, it shows that Stimuler can be an effective speaking partner for some students to improve their speaking skills, by creating a practice space that is flexible and less pressurizing.
Code Mixing as Fashion Discourse: The Use of English Fashion Registers in Aquinaldo Adrian’s Tiktok Content Naufaldi Athallah; Andang Saehu; Hasbi Assiddiqi
Journal of English Language and Education Vol 11, No 4 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i4.3015

Abstract

The increasing use of English in Indonesian digital media has contributed to the widespread practice of code mixing, particularly in fashion-related content on TikTok. One notable form of this phenomenon is the use of **English fashion registers**, which refer to specialized English vocabulary and expressions commonly used to describe fashion products, styling techniques, garment features, and trends within the fashion industry. This study aims to identify the types and reasons for code mixing involving English fashion registers in Aquinaldo Adrian’s TikTok review and styling videos. A descriptive qualitative method with a sociolinguistic approach was employed. Data were collected from twenty-four review and styling videos uploaded between March and May 2026 and analyzed using Hoffmann’s (1991) theory of code mixing. The findings identified 838 instances of code mixing, comprising intra-sentential code mixing (595 occurrences; 71%) and intra-lexical code mixing (243 occurrences; 29%). Two primary reasons for code mixing were identified: talking about a particular topic and expressing group identity. The findings demonstrate that English fashion registers function not only as specialized terminology but also as linguistic resources through which Indonesian fashion content creators communicate domain-specific concepts and construct professional and social identities within contemporary digital fashion discourse.
Co-Authors Azis Abdul Gofur Cipto Wardoyo Gisna Auliya Hasbi Assiddiqi Ice Sariyati Naufaldi Athallah Raden Viranty Kamilatul Fasa Rizkia Shafarini Ujang Suyatman