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All Journal International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) TRANSFORMATIONAL LANGUAGE, LITERATURE, AND TECHNOLOGY OVERVIEW IN LEARNING (TRANSTOOL)
Dja’far, Veri Hardinansyah
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Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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IMPLEMENTATION OF THE BEAUTIFUL MALANG PROGRAM THROUGH THE “MALANG MENYAPA” APPLICATION Aminah, Laila Siti; Dja’far, Veri Hardinansyah; Arifin, Wahyu Eko
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 1 No. 1 (2022): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4833.202 KB) | DOI: 10.55047/ijateis.v1i1.119

Abstract

The objective of this study is to identify and analyze the Malang Menyapa application's implementation as the Beautiful Malang Program of the Malang City Culture and Tourism Office. The research method employed is descriptive research using a qualitative approach to ascertain the subject's description. The library research was used to collect data for this study. If the observations of field researchers on the implementation of smart city policies in the city of Malang are compared to a theory confirmed by Edward III, numerous variables must be considered, particularly communication, resources, disposition, and organizational structure. The Department of Culture and Tourism of the city of Malang developed an application, namely “Malang Menyapa”, in order to develop a beautiful Malang program in the city of Malang that is based on a smart city, particularly in the culture and tourism sector, to be implemented in the city of Malang. Hopefully, by the presence of this application will result in an increase in tourists, which will help to accelerate the inflation rate of regional economic growth.
AI-Based English Module for Accounting Students Kurnia, Lely Indah; Setyawan, Bimo; Khoirunisa, Rizqi; Mustofa, Ahmad; Dja’far, Veri Hardinansyah; Purnomo, Subekhi Hadi
TRANSFORMATIONAL LANGUAGE, LITERATURE, AND TECHNOLOGY OVERVIEW IN LEARNING Vol. 5 No. 1 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transtool.v5i1.1983

Abstract

Artificial Intelligence (AI) has significantly transformed education and language learning by creating more interactive, personalized, and adaptive learning environments. Within the field of English for Specific Purposes (ESP), especially for accounting students, there is an increasing need for learning modules that combine discipline-based content with advanced educational technology. However, existing resources remain limited and often fail to meet the specific linguistic and professional demands of vocational learners. This study aimed to design and evaluate an AI-based English module tailored to the needs of accounting students. Employing a Research and Development (R&D) approach using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the research involved need analysis, expert validation, small-group testing, and field implementation. The findings revealed that the module achieved a high feasibility rating from experts (87.2%), significantly improved students’ English achievement (from a pre-test mean of 62.4 to a post-test mean of 80.7, p < 0.05), and received positive responses from users. Most students reported improved comprehension of accounting terms, enhanced confidence in professional communication, and satisfaction with AI-integrated features such as chatbot interaction and speech recognition. These results indicate that the AI-based module is pedagogically effective, technologically interactive, and contextually relevant to vocational English education. Theoretically, this study contributes to ESP pedagogy, while practically, it offers a model for integrating AI-assisted learning in higher education contexts.
Co-Authors Ahmad Mustofa Aminah, Laila Siti Arifin, Wahyu Eko Khoirunisa, Rizqi Lely Indah Kurnia, Lely Indah Purnomo, Subekhi Hadi Setyawan, Bimo