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All Journal Jurnal Edukasi Elektro JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Eduscience (JES)
Adha, Hanif Rifai
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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DEVELOPMENT OF FLIPBOOK-INTERACTIVE MODULES: IMPROVING UNDERSTANDING OF BASIC ELECTRICAL CONCEPTS Haryudo, Subuh Isnur; Fransisca, Yulia; Suryaman, Heri; Adha, Hanif Rifai
JURNAL EDUSCIENCE Vol 12, No 5 (2025): Jurnal Eduscience (JES), (Authors from Malaysia and Indonesia)
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jes.v12i5.7511

Abstract

Purpose – This research aims to develop an interactive e-module based on Flipbook to improve the conceptual understanding of basic electricity Methodology – The methodological approach in this study uses the Research and Development (R&D) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. The methods used include needs analysis, design, and evaluation, with a focus on improving student interactivity and learning outcomes through the use of an attractive Flipbook application. The sample of this study is 80 students of Electrical Engineering Education, State University of Surabaya, who were obtained through purposive sampling techniques. The data collection procedure is in the form of a questionnaire to find out the response of validators and students to the interactive e-module, and provides multiple-choice questions to measure learning outcomes.Findings – The results of the study showed that the flipbook-based e-modules developed had very high validity, with assessments from subject matter experts and media experts achieving an average score of 88.7%, with a very valid category. In addition, this e-module has also proven to be practical and effective in improving students' understanding of basic electrical concepts. The results of the assessment of student responses in the large group trial obtained an average percentage of 90% in the practical category. The results of the trial showed an increase in student learning outcomes, with an average of 82.6 in the effective category.Contribution – This research makes a significant contribution to the development of learning media that is in accordance with the current development of educational technology. The use of this e-module can increase students' interest and motivation to learn, as well as provide alternative learning media that are more interesting and interactive.
DRE!: A RULE-BASED SOFTWARE REQUIREMENT EXTRACTION FRAMEWORK FOR INDONESIAN DOCUMENTS Maulana, Moh. Zulfiqar Naufal; Adrian, Ahmad Reza; Adhyaksa, Fathan Alfariel; Prasetya, Didik Dwi; Ardiansyah, Jevri Tri; Adha, Hanif Rifai
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.9357

Abstract

Extracting software requirements from descriptive documents is a crucial yet challenging phase in software engineering, par-ticularly when performed manually. This research proposes DRE!, a framework for automatically extracting functional requirements from Indonesian-language system descriptions. The employed methodology applies a concise workflow that begins with data acquisition, involving a system description and a predefined list of actors. The process continues with preprocessing, word dependency parsing for grammatical analysis, actor detection featuring a previous-sentence refer-ence mechanism, and requirement construction using an ac-tor-centric template. The workflow concludes with a similarity check (cosine similarity) for redundancy elimination. The framework was evaluated on eight software description da-tasets. The evaluation results demonstrate promising perfor-mance, with F1-Scores on seven of the eight datasets ranging from 0.76 to 0.88. Peak performance was recorded on the "EduLearn" dataset (F1-Score 0.88). However, an anomaly was identified in the "LogiWare" dataset (F1-Score 0.52), which was attributed to a high rate of False Positives. This finding indicates that DRE! is effective in extracting require-ments, but its performance is highly influenced by the clarity and linguistic style of the source documents.
Immersive Technology-Based Adaptive Learning to Improve Academic Achievement and Interpersonal Skills in Electrical Engineering Education Adha, Hanif Rifai; Rahmawati, Yuni; Wibowo, Danang Arengga; Masyfa, Faiz Hilmawan
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.88937

Abstract

The Development of digital technology creates significant opportunities to improve the learning experience in the engineering education sector. This study investigates and analyses the impact of Augmented Reality as an immersive learning technology to improve academic achievement and interpersonal skills (collaboration and communication). A quasi-experimental design was used to compare the influence of AR-based learning with conventional learning systems in two classes of 60 students. Pre-test and post-test results showed significant improvement in the experimental class, with paired t-tests showing mean differences of -31.20 (t = -20.75, p < 0.001) and -18.76 (t = -13.67, p < 0.001) for the control class. A greater improvement in collaboration and communication skills was observed in the experimental class compared to the control class. The t-test independently revealed significant differences in collaboration skills (t = 4.92, p < 0.000) and communication skills (t = 2.71, p < 0.000). AR provides a more interactive learning experience, improving teamwork and effective communication. These results demonstrate that AR has significant potential in enhancing academic capabilities and 21st-century skills in engineering education.
Co-Authors Adhyaksa, Fathan Alfariel Adrian, Ahmad Reza Ardiansyah, Jevri Tri Didik Dwi Prasetya Fransisca, Yulia Masyfa, Faiz Hilmawan Moh. Zulfiqar Naufal Maulana Subuh Isnur Haryudo Suryaman, Heri Wibowo, Danang Arengga Yuni Rahmawati