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Journal of Education Technology
Published by Universitas Pendidikan Ganesha
ISSN : 25494856     EISSN : 25498290     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education
Journal of Education Technology p-ISSN : 2549-4856, e-ISSN : 2549-8290 is a publication of research results and scientific thoughts in the fields of education, learning, evaluation, innovation including the development and implementation of new technologies in education and learning.
Arjuna Subject : -
Articles 888 Documents
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Enhancing Students' Higher-Order Thinking Skills Through Accounting Game-Based Learning: A Development and Evaluation Study Nurdian Susilowati; Amir Mahmud; Ida Nur Aeni; Puji Novita Sari
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.97005

Abstract

The low ability of students to understand the journal material is adjustment, which requires high-level thinking skills (HOTS). Based on the results of the initial survey, as many as 88% of students stated that adjustment journals are very difficult to understand, and conventional media such as PowerPoint and videos have not been able to improve students' learning outcomes and analytical skills. Therefore, this study aims to design, develop, and test the effectiveness of an educational game-based learning media called Edu-Adjustment Journal to improve students' HOTS abilities in adjustment journal materials. The subjects of the study were 48 grade XII students at one of the public high schools in Semarang who were divided into two groups, namely the experimental group using the Edu-Adjustment Journal and the control group using PowerPoint media. This research uses a Research and Development (R&D) approach with the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. Data collection techniques include observation, questionnaires, and documentation to assess the feasibility, attractiveness, and effectiveness of learning media. The data was analyzed quantitatively using validity, reliability, difficulty analysis of question items, and independent sample t-test, and qualitatively through reduction, classification, and data presentation. The results showed that all instruments were valid and reliable with an average validation value of 92%, and there was a significant difference between the experimental and control groups with a significance value of p = 0.004. The average learning outcomes of students who use Edu-Adjustment Journal (78.42) are higher than students who use PowerPoint (71.08). Thus, the Edu-Adjustment Journal learning media has proven to be effective in improving students' high-level thinking skills, motivation, and understanding of adjustment journal materials.
Implementation of Deep Learning using Convolutional Neural Network Method and Yolo Algorithm in Rupiah Banknote Detection System Neni Mulyani; Ganefri; Sukardi; Muhammad Sabir Ramadhan; Muhammad Amin
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98189

Abstract

The application of deep learning has rapidly advanced across various sectors due to its ability to enhance effectiveness and efficiency in solving complex tasks. One promising implementation is in object detection, particularly in recognizing and identifying banknotes. This innovation is highly beneficial for individuals with visual impairments who often struggle to distinguish between currency denominations. Currently, people with vision loss still rely on manual techniques such as sorting by size or folding bills in specific patterns—methods that are inefficient and prone to error. This study developed a real-time banknote detection system using moving image input through a combination of Convolutional Neural Network (CNN) and the YOLOv4-tiny algorithm. The research employed a quantitative approach with software engineering methods and a Research and Development (R&D) design. The research subjects consisted of annotated digital images of the 2016 Indonesian Rupiah banknotes, comprising seven denominations and two image classes (front and back). A total of 1,260 images were used for training over 7,000 iterations, yielding a mean Average Precision (mAP) of 97.65%. Validation was conducted on 140 test images using cross-validation, resulting in an mAP of 97.5%. Additional evaluation was performed on banknotes in imperfect physical conditions (e.g., crumpled or folded), achieving an mAP of 88%. These findings indicate that the model demonstrates strong robustness under real-world conditions. Overall, the integration of CNN and YOLO in this system provides a practical solution for individuals with low vision to independently recognize Indonesian Rupiah banknotes, thereby enhancing financial accessibility and inclusion.
Machine Learning Implementation for Computer Network Performance Optimization Muhammad Sabir Ramadhan; Neni Mulyani; Muhammad Amin; Nizwardi Jalinus; Refdinal
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98191

Abstract

Increasingly evolving digital era, optimizing computer network performance has become a critical priority to support the demands of high-speed, reliable, and adaptive connectivity. This study explores the application of Machine Learning (ML) techniques as a strategic approach to enhancing network performance, with a focus on three key algorithms: Random Forest for detecting anomalies, Long Short-Term Memory (LSTM) for predicting network traffic patterns, and Deep Reinforcement Learning (DRL) for optimizing routing decisions. These algorithms were selected based on their respective strengths in handling complex, high-dimensional network data and their ability to adapt to dynamic conditions. The experimental results demonstrate that the implementation of ML can significantly improve key network performance metrics. Specifically, network throughput increased by up to 21.7%, latency was reduced by 27.1%, and the packet loss rate decreased by 62.2%. These improvements suggest that ML-based approaches offer a promising direction for achieving more intelligent and efficient network management. However, the study also highlights several challenges that must be addressed for broader adoption. These include the dependency on high-quality, real-time data; the computational overhead required for model training and deployment; and potential vulnerabilities related to cybersecurity threats. In addition, the interpretability and transparency of complex ML models remain areas requiring further exploration. Overall, this research contributes to the growing field of ML-driven network optimization and provides a foundation for future advancements in autonomous, adaptive, and secure networking systems. It opens up new possibilities for the development of next-generation communication infrastructures that are smarter, more resilient, and performance-oriented.
Gender Based Analysis of Critical Thinking in Multicultural Islamic Education among Science and Technology Students Wawan Purnama; Rachanda Ambya; Uus Ruswandi; Yulia Kuraesin Ila Rohima; Tatang Muh Nasir
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98306

Abstract

Critical thinking skills, particularly among university students, play a vital role in problem-solving and serve as essential preparation for entering the workforce. However, in practice, many students still struggle to develop critical thinking skills, especially in understanding complex issues they encounter. The purpose of this study is to examine how effectively students can think critically in understanding multicultural education from an Islamic perspective and to analyze variations in opinions based on gender. Using a descriptive quantitative methodology, the study involved 40 students, equally representing male and female participants selected through purposive sampling. Data were collected using a critical thinking assessment rubric covering aspects such as problem understanding, information analysis, argument preparation, evidence evaluation, logical conclusion, self-reflection, and problem-solving. The findings revealed that students generally demonstrated strong critical thinking abilities, with an average score of 478.4 out of 595 (80.4%). However, score distribution varied, with male students showing a more heterogeneous range, while female students exhibited a more homogeneous and balanced pattern. This study provides new insights by integrating gender aspects into the analysis of critical thinking within the framework of Islamic education. The practical implications include recommendations for developing multicultural curricula and learning strategies that are more responsive to gender differences and cultural diversity within Islamic educational settings.
Effect of Instructional Animation on Pupils’ Academic Performance in Literacy Azeez Arisekola SALMAN
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98340

Abstract

This study was motivated by the persistent problem of low literacy performance among primary school pupils in Nigeria, which is often attributed to teacher-centered instructional methods and limited use of technology in classrooms. The purpose of the research was to examine the effect of instructional animation on pupils’ academic performance in literacy, with specific attention to gender and school type. The study involved 95 pupils from four selected public and private primary schools in Ilorin West Local Government Area of Kwara State, consisting of 53 pupils from public schools and 42 from private schools. A pre-test, post-test, non-equivalent control group quasi-experimental design with a 2×2×2 factorial structure was adopted for the study. Data were collected using the Pupils’ Literacy Performance Test (PLPT), the Instructional Guide for Instructional Animation (IGIA), and the Instructional Guide for Conventional Method (IGCM). The instruments were validated by experts and the PLPT yielded a reliability coefficient of 0.74. Data obtained were analyzed using Analysis of Variance (ANOVA) to test the main and interaction effects of instructional animation, gender, and school type on pupils’ literacy performance. The findings revealed that instructional animation had a significant positive effect on pupils’ academic performance in literacy, as those taught with animation outperformed their peers taught with the conventional method. However, there were no significant interaction effects among instructional animation, gender, and school type, indicating that the strategy was effective and inclusive across different learner groups. The study concludes that integrating instructional animation into literacy instruction can enhance pupils’ learning outcomes and promote equitable, technology-based education in primary schools.
SiMeti's Innovative Digital Media Strategy (Interactive Metamorphosis Simulation) to Improve Students' Engagement and Conceptual Understanding in Elementary Schools Almaratus; Eges Triwahyuni; Hariyanto
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98531

Abstract

Low student engagement and conceptual understanding in Natural and Social Science (IPAS) learning, particularly on the topic of animal metamorphosis, remain a significant challenge. This condition is influenced by the use of conventional, teacher-centered learning methods that limit student participation and lead to suboptimal learning outcomes. This study aims to develop and evaluate interactive digital media called SiMeti (Interactive Simulation of Metamorphosis) to enhance elementary school students’ learning engagement and conceptual understanding. The research subjects consisted of 10 third-grade elementary school students as the trial group. The research method used was Research and Development (R&D) with the ADDIE model, including the stages of analysis, design, development, implementation, and evaluation. Data collection techniques included expert validation of content and media, student response questionnaires using a Likert scale, and cognitive tests in the form of pretests and posttests. Data were analyzed using descriptive statistics, N-Gain calculation, the Shapiro–Wilk normality test, the Wilcoxon Signed-Rank test, and Cohen’s d effect size analysis. The results showed that the media had a very high level of validity (content 91.1% and media 92%), student responses were in the high to very high category (85.27%), and there was a significant improvement in conceptual understanding (N-Gain = 0.76; p = 0.00195) with an effect size of 1.57, categorized as very large. Therefore, the SiMeti digital media is proven effective in improving elementary students’ engagement and conceptual understanding of the metamorphosis topic.
Teacher Ethics in Coding and Artificial Intelligence (AI) Learning in Primary and Secondary Education Lilik Binti Mirnawati; Aswin Rosadi
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98752

Abstract

Digital transformation in education has driven the integration of coding and artificial intelligence (AI) into learning at the primary and secondary levels. This integration presents complex ethical challenges, particularly in ensuring the teacher's role as a moral guide in technology-based instruction. This study aims to analyze the role of teacher professional ethics in coding and AI education and to evaluate emerging ethical issues, such as algorithmic bias, privacy violations, and digital access inequality. The research subjects include a collection of scientific literature obtained from academic journals, reference books, and relevant policy documents. This study employs a qualitative descriptive approach with a literature review method and thematic analysis techniques. The findings indicate that teachers are not only responsible for delivering technical content but also play a crucial ethical role in cultivating students’ social awareness regarding the moral implications of technology. The study concludes that strengthening teacher ethics through continuous training and integrating digital ethics into the curriculum is essential. The implications point to the urgency of adaptive educational policies in response to the ethical dynamics of AI-based learning.
Learning Using an Open Approach to Improve Creative Thinking Skills in Solving Mathematical Problems on Field Structure Materials Hari Sugiharto Setyaedhi; Fajar Arianto; Husni Mubarok
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.99296

Abstract

The main problem in mathematics learning is the low level of students’ creative thinking skills, as indicated by difficulties in understanding concepts, solving contextual problems, and the limited ability to generate various alternative solutions. This study aims to examine the effectiveness of the open-ended approach in improving students’ mathematical creative thinking skills, particularly in geometry. The subjects of the study were 50 secondary school students divided into experimental and control classes. The research method used was a quasi-experiment with a pretest-posttest control group design. Data collection techniques included open-ended essay tests developed based on creative thinking indicators, observation, and documentation. Data analysis was carried out using the N-Gain test to determine learning improvement and inferential statistical tests to examine the significance of differences between groups. The results showed that the experimental class using the open-ended approach obtained an average N-Gain score of 72.13 (high category), while the control class only achieved 20.52 (low category). These findings demonstrate that the open-ended approach is effective in enhancing students’ mathematical creative thinking skills, particularly in the aspects of fluency and flexibility, although originality and elaboration still require further attention.
The The Utilization of Augmented Reality Technology in Improving Conceptual Understanding in Economic Learning: English Oktavia Indriyani; Intan Fazryatun Khasanah; Endang Herawan; Yopi Nisa Febianti
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.99747

Abstract

The difficulty in concretely connecting theory with practice, compounded by the limited use of visual and interactive media, has resulted in low learning outcomes. The purpose of this study was to analyze the use of Augmented Reality (AR) technology in improving students’ conceptual understanding in economics learning at the senior high school level. This research employed a quantitative approach with a Pre-Experimental Design, specifically the One Group Pretest-Posttest Design model. The study population consisted of 66 tenth-grade students. The sample was selected using a non-probability sampling technique. The data were collected through tests, with test items serving as the main research instrument. The data were analyzed using the Paired Sample t-test. The results showed a significant improvement in students’ conceptual understanding after the implementation of Augmented Reality-based learning. The average conceptual understanding test score increased from 62.24 (pre-test) to 85.45 (post-test), with a significance value of p < 0.001. These findings indicate that Augmented Reality can bridge the gap between theoretical concepts and practical implementation in economics learning, while also creating a more immersive, collaborative, and participatory learning experience. The implication of this study is that the application of Augmented Reality technology can serve as an innovative alternative strategy in economics education to enhance students’ conceptual understanding more effectively.
Effectiveness of Case-Based and Project-Based Learning in Promoting Sustainability Awareness: A Comparative Study Khusnul Khotimah; Mochamad Kamil Budiarto; Arsyananda Rabbani; Leni Marpelina; Leo Andrew B. Biclar
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.100205

Abstract

History learning, which is still dominated by conventional methods, tends to focus only on the cognitive aspect and has not fully addressed the affective and conative dimensions that are crucial in fostering students’ ecological awareness. This study aims to analyze the effectiveness of case-based learning and project-based learning in enhancing students’ ecological awareness. The research employed a quantitative approach with a quasi-experimental design using a pretest-posttest control group design. The study involved 89 students divided into two experimental groups. The data collection instrument was a Likert scale constructed based on three dimensions of ecological awareness: cognitive, affective, and conative. Data analysis was conducted using parametric statistical tests. The findings indicate that both learning approaches significantly improved students’ ecological awareness (p < 0.05). The case-based learning group achieved an average increase of 7.11 points (20.5%), while the project-based learning group increased by 4.93 points (14.4%). The posttest difference between the two groups was also significant (t = 3.365; p = 0.001), demonstrating the superiority of case-based learning in strengthening ecological awareness. These results confirm that the integration of context-based learning approaches in history education has the potential to strengthen the role of higher education in shaping a generation that excels not only academically but also in terms of care and responsibility for environmental sustainability. The implications of this research suggest that lecturers need to adopt innovative learning models that balance cognitive, affective, and conative aspects to support sustainable education and encourage the emergence of more responsive pedagogical practices to global challenges.

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