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This Author published in this journals
All Journal Indonesian Journal of Integrated English Language Teaching JALL (Journal of Applied Linguistics and Literacy) EPIGRAM (e-journal)
Andi Rizki Fauzi
STIPARY Tourism Academy
Religion Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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Building the Students' English Vocabulary for Tourism through Computer-Based Corpus Approach Andi Rizki Fauzi; S. Suradi
Indonesian Journal of Integrated English Language Teaching Vol 4, No 2 (2018): IJIELT Vol. No. 2, 2018
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.316 KB) | DOI: 10.24014/ijielt.v4i2.6659

Abstract

The use of computer as one of the technological advancement products  gives many benefits in the process of teaching and learning and there is no doubt of its contribution in learning English language. However, the use of Computer-Based Corpus Approach is not yet widely used in teaching English in higher education level especially in tourism major. Mostly, the teachers only focus on the use of source books and dictionary when they are teaching. That is why the students only learn limited vocabulary with little expossures and the vocabulary is learnt in isolation as the students attempt to get the meaning of  certain word list from the dictionary. Therefore, the purpose of this research was to investigate whether the students who were taught by using Computer-Based Corpus Approach could build their English vocabulary for tourism  better than  those who were taught without Computer-Based Corpus Approach. This research was an experimental research. The population of the research was all the  fouths semester students from Diploma III majoring in Hospitality consisting of 151 students and they were divided into 5 classes in which class A and B have chosen as the samples. However, the stuedents who administered pre-test were 56 students and when the post-test was held the students who attended the tes were only 53 students. After Computer-corpus Based approach was carried out in the experimental class, this did not have a  significant difference assisting the students building their English vocabulary for Tourism than those who did not employ it. It can be seen from the result of independent sample t-test which showed that Sig. (2-tailed) score was 0,431 which is more than 0,05 meaning that Ho was rejected. This approach was considered  time consuming and required big effort to understand the corpus data due to many unfamiliar words in the real texts found. However, overall the students had positive attitude with this approach.
Integrating Online Corpus and Online Dictionary to Expand Student's English Vocabulary for Tourism andi rizki fauzi; s suradi
Indonesian Journal of Integrated English Language Teaching Vol 5, No 1 (2019): Vol. 5 No.1, 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.186 KB) | DOI: 10.24014/ijielt.v5i1.7749

Abstract

This study was aimed to know the contribution of online corpus integrated with an online dictionary to take part in learning English vocabulary for tourism. An experimental research was conducted toward the fourth semester of Diploma III students at STIPARY Tourism Academy majoring in Hospitality. The population consists of 118 students and they were divided into 4 classes in which class A and B were randomly chosen as the samples. 100 words from the corpus created from articles in the tourism field were listed through the corpus data and the level of familiarity rated by the students. Based on the analysis result, it could be seen that Asymp. Sig (2-tailed) value was 0,000, which was less than the probability value of 0,05. It means that integrating online corpus and online dictionary could be significantly expand the students' English Vocabulary for tourism.
BASE FORM OF LEXICAL VERBS IN COOKING ARTICLES AND HOW THE HOSPITALITY STUDENTS ARE FAMILIAR WITH THEM Andi Rizki Fauzi
JALL (Journal of Applied Linguistics and Literacy) Vol 4, No 2 (2020)
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jall.v4i2.3783

Abstract

The present study aims to draw up  the list of base form of lexical verbs in selected cooking articles and to know whether the fourth semester students majoring in Hospitality have already been familiar with them or not. AntConc, a corpus software, is used to identify the most common verbs in 50 cooking articles taken from Wiki How Web and the quistionnaire were distributed to all the students to give assessment based on the scaling rate provided related to each verbs found in the corpus data. Based on the data analysis, the result showed that from 394 base form of lexical verbs found, there are 174 words got the rating below 5 meaning that the students have ever seen or heard the words but the meanings are vague.It indicates that although the students are in hospitality major, it does not guarantee that they have already known the essential verbs usually used in authentic text. Keywords: Base form of Lexical Verbs, Cooking, Corpus Based Study
STUDENTS' AWARENESS AND UTILIZATION OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE LEARNING Andi Rizki Fauzi; Daniel Ginting
Epigram Vol 23 No 1 (2026): Vol. 23 No. 1 Tahun 2026
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/epi.v23i1.8082

Abstract

This study explores students' awareness, perceptions, and utilization of AI tools in English language learning at STIPARY Tourism Academy Yogyakarta. Using a mixed-method approach with a concurrent triangulation design, quantitative data were collected through surveys (n=32), while qualitative insights were gathered from semi-structured interviews (n=10). Findings reveal generally positive attitudes toward AI tools such as ChatGPT, Duolingo, and Grammarly, particularly for vocabulary acquisition, pronunciation practice, and grammar improvement. Students appreciated AI’s accessibility and real-time feedback but expressed concerns about over-reliance, potential impacts on critical thinking, and the inability of AI to replicate human interaction. Frequent AI users exhibited greater confidence, autonomy in self-correction, and engagement in language learning. However, challenges such as adapting to AI, content reliability concerns, and financial constraints were noted. While AI enhances language learning experiences, its effectiveness depends on structured implementation, guided integration with traditional instruction, and institutional support. The study’s limitations include its small, context-specific sample, reliance on self-reported data, and cross-sectional design. Future research should explore AI’s long-term effects on language proficiency and address external factors influencing AI adoption in education
Co-Authors Daniel Ginting s suradi S. Suradi