Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Journal of Applied Business and Technology Al-Irsyad: Journal of Education Science Reflection: Education and Pedagogical Insights
Rahma Widi
Institut Az Zuhra, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
ANALYSIS OF THE EFFECTIVENESS OF THE DUOLINGO APPLICATION IN ENGLISH PRONUNCIATION LEARNING Rahma Widi; Annisa Tasyakurna M; Hafni Hafsah
Al-Irsyad: Journal of Education Science Vol 4 No 2 (2025): Al-Irsyad: Journal of Education Science
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan Darud Da'wah Wal Irsyad Pinrang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58917/aijes.v4i2.257

Abstract

This research aimed to analyze the effectiveness of using the Duolingo application in learning English pronunciation. This was descriptive qualitative research. The participants consisted of 24 undergraduate students at Institut Az Zuhra. Interviews and observations were conducted to collect data. They were chosen due to lacking at pronouncing the words. It was because they did not get activity about pronunciation when they were in school. After conducting the research, it was found that the Duolingo application used in pronunciation class was effective to be applied. It was fun, enjoyable, interesting, and motivating for the students. It improved their confidence and reduced their pronunciation anxiety. Additionally, there are some limitations of using the Duolingo application, such as annoying advertisements, and it cannot be accessed offline.
The Role of Artificial Intelegensia Technology in Improving the Quality of Education Wilda Susanti; Rahma Widi; Torkis Nasution; Johan Johan; Unung Verawardina
Journal of Applied Business and Technology Vol. 6 No. 1 (2025): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v6i1.178

Abstract

The future of education is aligned with advances in artificial intelligence (AI) technology that significantly change how we learn, teach, and manage educational systems. This article reviews the critical role of AI technology in improving the quality of education in the digital era. AI technology allows for better personalization of education according to each student's needs and interests and changes how teachers teach and students learn. By using machine learning algorithms and data analysis learning algorithms and data analysis, education systems can identify patterns in student learning behavior, predict individual needs, and provide timely interventions. The article also highlights the challenges and opportunities in implementing AI technology in schools, including data privacy concerns, digital divides, and new skills required by educators. By understanding AI technology's role in improving education quality, we can design a more inclusive, responsive, and effective education system for a better future.
Developing Social Accounting Competencies through IoT-Based Goat Farming Learning Systems Suhardjo Suhardjo; Nicholas Renaldo; Achmad Tavip Junaedi; Kristy Veronica; Harry Patuan Panjaitan; Onny Setyawan; Wilda Susanti; Rahma Widi; Umar Faruq; Jahrizal Jahrizal
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.142

Abstract

The digital transformation of agriculture has created new opportunities and challenges for accounting education, particularly in developing social accounting competencies related to sustainability and social responsibility. This study aims to examine the effect of an IoT-based goat farming learning system on the development of social accounting competencies in vocational and applied accounting education. Using a quantitative explanatory research design, this study integrates a technology-enhanced learning approach supported by real-time data generated from IoT-enabled goat farming systems. Data were collected from students participating in IoT-based learning activities and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that the IoT-based goat farming learning system has a positive and significant effect on social accounting competencies, including the ability to identify, measure, interpret, and report social and environmental impacts. The findings demonstrate that real-time livestock data provide an effective experiential learning environment that bridges the gap between abstract social accounting concepts and practical applications. This study contributes to accounting education literature by repositioning IoT-based livestock systems as pedagogical platforms rather than purely operational tools. The study also offers practical implications for educators, curriculum designers, and policymakers seeking to strengthen sustainability-oriented accounting education in digitally transformed agribusiness contexts.
Co-Authors Achmad Tavip Junaedi Annisa Tasyakurna M Hafni Hafsah Harry Patuan Panjaitan Jahrizal Johan Johan Kristy Veronica Nicholas Renaldo Onny Setyawan Suhardjo Suhardjo Torkis Nasution Umar Faruq Unung Verawardina Wilda Susanti