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All Journal J-Com (Journal of Computer) JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Anton, Oey
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Computer Science & IT Decision Sciences, Operations Research & Management

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Predicting English Language Learners’ Proficiency Level Using EnglishScore Android Application Anton, Oey; Yodi
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.61

Abstract

Teaching and learning the English language need to focus on the learners; therefore, as teachers, giving the range of materials and creating the study programs must be based on learners' ability to receive the learning progress in accordance. So, by revealing learners' abilities, teachers can organize their syllabus, material levels, quizzes, and other programs properly. CEFR is a British Council assessment used to know learners' abilities in several languages, including English. In this paper, we use EnglishScore android application to assess the learners' abilities based on CEFR scales. There are five categories of CEFR level scales that the learners of Universitas Universal academic year 2021-2022 provided: C1, B2, B1, A2, A1- using EnglishScore android application for assessment. Most learners acquire A2 level and B1 level with 40 and 28 percentages for overall skills. A2 and B1 with 40 and 28 percentages for grammar achievement, while B1, B2, and A2 for vocabulary achievement with 33, 27, and 26 percentages. A2 and B1 levels for reading and listening skills, with 42 and 23 percentages for reading skills and 39 and 22 for listening practice.
PERANCANGAN VOICE-BASED QUIZ RESPONSE UNTUK MATA KULIAH BAHASA INGGRIS 2 DI PRODI TEKNIK INFORMATIKA UNIVERSITAS UNIVERSAL Ofgivia, Givi; Anton, Oey; Pernando, Yonky; KH, Musliadi
J-Com (Journal of Computer) Vol. 3 No. 2 (2023): Juli 2023
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v3i2.2305

Abstract

Abstract: This study aims to develop a web application that is able to facilitate teachers in providing exams with answer-type questions via voice using the speech recognition method and is able to display pictorial exam questions. The process of collecting research data was carried out through interviews and literature studies with case studies in the 4th semester English course in Informatics Engineering study program at Universal University. Web application development is carried out using the Extreme Programming method with testing through the Black Box Testing approach. In development, researchers used the Laravel framework with the PHP, Javascript, and MySQL programming languages as databases. The results of the Black Box test show that the web application is able to carry out the functionality according to the problems in this study. With this web application, it is hoped that teachers can easily provide exams with sound and image-based questions, provide a more interactive and effective learning experience for students, and enrich the use of technology in educational contexts. Keywords: laravel; javascript; MySQL; PHP; speech recognition  Abstrak: Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi web yang mampu memfasilitasi pengajar dalam menyediakan ujian dengan pertanyaan bertipe jawab melalui suara menggunakan metode speech recognition serta mampu menampilkan pertanyaan ujian yang bergambar. Proses pengumpulan data penelitian dilakukan melalui metode wawancara dan studi pustaka dengan studi kasus di mata kuliah Bahasa Inggris 2 program studi Teknik Informatika semester 4 Universitas Universal. Pengembangan aplikasi web dilakukan menggunakan metode Extreme Programming dengan pengujian melalui pendekatan Black Box Testing. Dalam pengembangan, peneliti menggunakan framework Laravel dengan bahasa pemrograman PHP, Javascript, dan MySQL sebagai basis data. Hasil pengujian Black Box menunjukkan bahwa aplikasi web mampu menjalankan fungsionalitas sesuai dengan masalah yang ada dalam penelitian ini. Dengan adanya aplikasi web ini, diharapkan pengajar dapat dengan mudah menyediakan ujian dengan pertanyaan berbasis suara dan gambar, memberikan pengalaman belajar yang lebih interaktif dan efektif bagi mahasiswa, serta memperkaya penggunaan teknologi dalam konteks pendidikan. Kata kunci: laravel; javascript; MySQL; PHP; speech recognition
Co-Authors Musliadi K H Ofgivia, Givi Pernando, Yonky Yodi