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All Journal Indonesian Journal of English Language Teaching and Applied Linguistics Jurnal Algoritma
Risma Liyana Ulfa
Institut Teknologi Garut
Computer Science & IT Languange, Linguistic, Communication & Media

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Rancang Bangun Sistem Informasi Tracer Study Alumni Institut Teknologi Garut Berbasis Website Yosep Septiana; Leni Fitriani; Fakhrul Hawariyan; Rina Kurniawati; Risma Liyana Ulfa
Jurnal Algoritma Vol 20 No 1 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-1.1197

Abstract

Alumni tracer study is a method of tracking or surveying alumni by tertiary institutions as well as private universities, the tracer study is used as a source of information and to find out the absorption process, and the position of graduates in the world of work. The Garut Institute of Technology is a tertiary institution located in Garut Regency which always produces the best undergraduate graduates from year to year the number of students continues to increase. The Garut Institute of Technology already has an alumni tracer study system, due to the limitations of the system in terms of adding variables to add question items, the tracer study alumni still use the Google form, and for questionnaires as the number of students at the Garut Institute of Technology requires a separate database and applications in its management . The purpose of this research is to design and build a tracer study information system to accelerate tracer study alumni management, and facilitate alumni data processing. This study uses the Rational Unified Process methodology with the stages of inception, elaboration, construction, and transition. Application testing uses the alpha test and beta test with the black box testing method. The results of this research are: the website-based information system for tracer study alumni of the Garut Institute of Technology makes it easy to recap the results of the tracer study questionnaire and manage alumni data, as well as access information on job vacancies for alumni.
Readability of Reading Texts as Authentic Materials Issued by ChatGPT: A Systemic Functional Perspective Reski Ramadhani; Hilmi Aulawi; Risma Liyana Ulfa
IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) Vol 8, No 2 (2023): Indonesian Journal of English Language Teaching and Applied Linguistics
Publisher : Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/ijeltal.v8i2.1546

Abstract

Selecting the appropriate texts as the authentic material for English teaching, particularly at the university level, matched with students’ mastery level is still challenging. This study attempts to investigate the readability level of reading texts through the framework of Systemic Functional Linguistics (SFL) issued by ChatGPT, focused on whether the complexity level of the texts matches the standard level of the Common European Framework of Reference (CEFR) by proposed British Council. Through the qualitative design with content analysis, this study examines eighteen texts classified following CEFR levels issued by ChatGPT. It analyzes their lexical density, grammatical intricacy, and lexical variation to know the complexity of the texts. The analysis revealed that the complexity level of the texts issued by ChatGPT has not thoroughly followed the standard level of the texts used by the British Council on the CEFR level, indicating that several texts are inappropriate with their complexity levels. It is found that the complexity level of the texts issued by ChatGPT is determined by the length of the texts that increase from the basic level to the proficient level seen from the number of words in each text, not by their lexical density, grammatical intricacy, and lexical variation indexes. The study provides implications for the lecturer to carefully select the text used as teaching material issued by ChatGPT by relying on the lexico-grammatical analysis of the text to help students achieve the comprehension stage.
Co-Authors Fakhrul Hawariyan Hilmi Aulawi Leni Fitriani Reski Ramadhani Rina Kurniawati Yosep Septiana