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Journal of Educational Management and Learning
Published by PT. Heca Sentra Analitika
ISSN : -     EISSN : 30251117     DOI : https://doi.org/10.60084/jeml
Core Subject : Education,
Education Languange, Linguistic, Communication & Media Mathematics Other
Journal of Educational Management and Learning (JEML) is a prestigious peer-reviewed academic publication that focuses on original research articles and review articles in the field of education management and learning. JEML seeks to encourage interdisciplinary research that connects educational theories to practical applications and their impact on society. The scope of the Journal of Educational Management and Learning (JEML) may include, but is not limited to, the following areas: educational leadership and policy development, school governance and administration, curriculum development and assessment, educational technology and digital learning, teacher professional development, organizational behavior in educational institutions, educational innovation and entrepreneurship, quality assurance and accreditation in education, student engagement and motivation, education and social justice
Arjuna Subject : Umum - Umum
Articles 32 Documents
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Development of a Web-Based Educational Management System for a Technology Vocational High School in Banda Aceh, Indonesia Idroes, Rinaldi; Afidh, Razief Perucha Fauzie; Zahriah, Zahriah; Noviandy, Teuku Rizky; Sugara, Dimas Rendy; Ahsya, Yahdina; Amirah, Kelsy; Baihaqi, Baihaqi; Dharma, Aditia
Journal of Educational Management and Learning Vol. 2 No. 2 (2024): November 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i2.230

Abstract

This study explores developing and implementing a web-based Management Information System (MIS) tailored for SMK Negeri 2 Banda Aceh, a vocational school in Indonesia. To enhance administrative efficiency and address unique challenges in vocational education, the system centralizes tasks such as attendance tracking, academic record management, and internship coordination. Employing the waterfall model, this project proceeded through structured phases, including requirements analysis, system design, development, and usability testing. A sample of 50 users, comprising students, teachers, and school operators, evaluated the system based on usability, interface design, and information clarity through a questionnaire, yielding high satisfaction scores. Reliability testing and correlation analysis revealed strong internal consistency across questionnaire items and identified critical factors influencing user satisfaction, such as interface appeal and effective error resolution. The results indicate that the system meets core user needs and contributes to a streamlined, user-friendly school management process. With implementation planning, user training, and ongoing maintenance, this MIS offers a sustainable solution that can serve as a model for vocational schools across Indonesia, showcasing the potential of digital solutions in advancing educational administration and supporting career readiness in vocational education.
Embrace, Don’t Avoid: Reimagining Higher Education with Generative Artificial Intelligence Noviandy, Teuku Rizky; Maulana, Aga; Idroes, Ghazi Mauer; Zahriah, Zahriah; Paristiowati, Maria; Emran, Talha Bin; Ilyas, Mukhlisuddin; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 2 (2024): November 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i2.233

Abstract

This paper explores the potential of generative artificial intelligence (AI) to transform higher education. Generative AI is a technology that can create new content, like text, images, and code, by learning patterns from existing data. As generative AI tools become more popular, there is growing interest in how AI can improve teaching, learning, and research. Higher education faces many challenges, such as meeting diverse learning needs and preparing students for fast-changing careers. Generative AI offers solutions by personalizing learning experiences, making education more engaging, and supporting skill development through adaptive content. It can also help researchers by automating tasks like data analysis and hypothesis generation, making research faster and more efficient. Moreover, generative AI can streamline administrative tasks, improving efficiency across institutions. However, using AI also raises concerns about privacy, bias, academic integrity, and equal access. To address these issues, institutions must establish clear ethical guidelines, ensure data security, and promote fairness in AI use. Training for faculty and AI literacy for students are essential to maximize benefits while minimizing risks. The paper suggests a strategic framework for integrating AI in higher education, focusing on infrastructure, ethical practices, and continuous learning. By adopting AI responsibly, higher education can become more inclusive, engaging, and practical, preparing students for the demands of a technology-driven world.
How the Merdeka Curriculum Implementation and Teacher Motivation Shape High School Performance Outcomes in West Aceh, Indonesia Syukri, Shara; Ismail, Ismail; Sofyan, Hizir
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.252

Abstract

This study examines the effects of the Merdeka Curriculum implementation and teacher motivation on high school teacher performance in Aceh Barat Regency, Indonesia. The Merdeka Curriculum, a recent educational reform emphasizing flexibility and student-centered learning, aims to enhance teaching quality and student engagement. Using a quantitative approach, data were collected from 74 high school teachers through structured questionnaires. Statistical analyses, including t-tests and regression, were conducted to assess the impact of curriculum implementation and motivation on teacher performance. Findings reveal that the Merdeka Curriculum significantly improves teacher performance by promoting adaptive teaching practices. Teacher motivation, encompassing intrinsic and extrinsic factors, also positively influences performance, with high motivation levels associated with more extraordinary dedication and effectiveness. The combined analysis indicates that 80.2% of the variation in teacher performance is explained by these factors, suggesting that both curriculum flexibility and motivational support are essential in enhancing educational outcomes. These results offer practical insights for policymakers and educational stakeholders aiming to support teacher engagement and curriculum adaptability.
Empowering Teachers in the Digital Age: Leadership Strategies for Enhancing Pedagogic Competencies in High Schools Mushadi, Mushadi; Usman, Nasir; Bahrun, Bahrun
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.254

Abstract

This study examines the strategies employed by school principals to enhance the digital pedagogic competencies of teachers in three public high schools in Kluet Utara, Aceh, Indonesia. With the growing demand for digital integration in education, effective leadership is critical in preparing teachers to utilize digital tools in classroom settings. Using a qualitative descriptive approach, data were collected over a two-month period through semi-structured interviews, direct observations, and document analysis. The findings revealed three main themes: (1) Professional Development Initiatives, (2) Infrastructure and Resource Allocation, and (3) Collaborative Practices. Professional development programs, such as workshops and training sessions, played a crucial role in developing foundational digital skills. Infrastructure investments in internet connectivity and digital resources facilitated digital integration, though resource limitations in some schools posed challenges. Collaborative practices, including peer mentoring and team-based problem solving, played a crucial role in fostering a supportive environment for digital teaching. However, teachers faced challenges related to varying levels of digital proficiency, time constraints, and limited resources. This study highlights the importance of a comprehensive, leadership-driven approach to developing digital competencies among teachers, suggesting that a combination of continuous professional development, adequate resources, and collaborative support can significantly enhance digital integration in schools. These findings underscore the necessity for educational leaders to adopt a comprehensive, multifaceted approach to building digital competencies among teachers. By strategically integrating continuous professional development, adequate infrastructure, and collaborative frameworks, school leaders can significantly accelerate digital transformation efforts. For policymakers, this research underscores the crucial importance of aligning educational policies with resource allocation and leadership training to facilitate systemic digital integration. In an increasingly digitalized educational landscape, such leadership-driven strategies are indispensable for achieving equitable and effective teaching outcomes on a broader scale.
Developing Digital Microlearning Content on Reaction Rates Using Wix for Senior High School Fajriah, Sari Nur; Paristiowati, Maria; Nanda, Elsa Vera
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.281

Abstract

Reaction rate concepts in high school often lack submicroscopic depth and are not supported by digital media that match Generation Z's preferences for interactive learning. This study developed a Wix-based microlearning platform for 11th-grade students featuring videos, infographics, quizzes, worksheets, games, and modules. Using the ADDIE model, the platform was evaluated by experts and tested in the classroom. Expert validation showed high feasibility (91.94% from content and language experts, 90.40% from media experts). Large-scale trials with students and teachers also yielded high acceptance (93.25% and 93.23%, respectively). These findings support the platform’s feasibility and effectiveness in enhancing chemistry learning, especially for teaching reaction rates.
An Explainable Machine Learning Study of Behavioral and Psychological Determinants of Depression in the Academic Environment Noviandy, Teuku Rizky; Idroes, Ghalieb Mutig; Hardi, Irsan; Ringga, Edi Saputra; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.304

Abstract

Depression is a significant and growing concern within academic environments, affecting both students and staff due to factors such as academic pressure, financial stress, and lifestyle challenges. This study explores the use of machine learning, specifically a Random Forest classifier, to predict depression risk among students using behavioral, psychological, and demographic data. A dataset of 27,788 student records was analyzed after thorough preprocessing and exploratory data analysis. The model achieved strong performance, with an accuracy of 83.52% and an AUC of 0.91, indicating reliable classification of depression status. Local Interpretable Model-agnostic Explanations (LIME) were employed to enhance interpretability, revealing key predictive features such as suicidal ideation, academic pressure, sleep duration, and dietary habits. These interpretable insights align with existing psychological research and provide actionable information for mental health professionals. The findings highlight the value of explainable AI in educational settings, offering a scalable and transparent approach to early depression detection and intervention. Future work should focus on longitudinal data integration, multimodal inputs, and real-world implementation to strengthen the model’s utility and impact.
Techniques and Tools in Learning Analytics and Educational Data Mining: A Review Noviandy, Teuku Rizky; Idroes, Ghazi Mauer; Paristiowati, Maria; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.308

Abstract

Learning analytics and educational data mining are rapidly evolving fields that leverage data-driven methods to enhance teaching, learning, and institutional decision-making. This review provides a comprehensive overview of the key analytical techniques and tools employed in learning analytics and educational data mining, including classification, clustering, regression, association rule mining, and data visualization. It also highlights the integration of advanced methods such as deep learning and adaptive systems for personalized education. The paper examines various platforms and technologies, including learning management systems, open-source tools, and AI/ML libraries, to evaluate their capabilities, scalability, and practical adoption. Key application areas, such as dropout prediction, engagement analysis, personalized learning, and curriculum design, are examined through selected case studies spanning K–12 and higher education. The review emphasizes the growing importance of ethical considerations, interpretability, and usability in the application of educational analytics. By synthesizing current practices and trends, this work aims to inform educators, researchers, and developers seeking to harness educational data for improved learning outcomes and strategic planning.
Exploring the Role of Principal Appreciation and Motivation in Shaping Work Culture Among Vocational School Teachers in South Aceh, Indonesia Rasyid, Jusnaini; Sofyan, Hizir; Usman, Nasir
Journal of Educational Management and Learning Vol. 3 No. 2 (2025): November 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i2.251

Abstract

This study investigates the impact of principal appreciation and motivation on the work culture of vocational school teachers in South Aceh District, Indonesia. Utilizing a quantitative approach, data were collected from 113 vocational school teachers across five schools through a survey that measured three key variables: principal appreciation, principal motivation, and teacher work culture. Descriptive and inferential statistical analyses, including simple and multiple regression, were employed to determine the relationships between the variables. The results showed that both principal appreciation and motivation have a positive and significant influence on teacher work culture, explaining 11.6% of its variation individually and 34.1% when combined. These findings underscore the importance of school leadership in fostering a supportive and collaborative work environment, suggesting that principals who appreciate and motivate their teachers significantly enhance the overall work culture, which in turn contributes to improved teacher performance and educational outcomes. This research highlights the critical role of leadership in shaping a productive and engaging school culture.
Enhancing Critical Thinking in Chemistry Education Through Differentiated LKPD Design Wahyuni, Sri; Hasan, Muhammad; Saminan, Saminan
Journal of Educational Management and Learning Vol. 3 No. 2 (2025): November 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i2.302

Abstract

This research aims to enhance students' Critical Thinking Skills in chemistry learning by using differentiated LKPD. Based on the initial observation, it was found that the CTS of students was still in the low category, as the learning media used had not taken into account the learning styles of students. This type of research is quasi-experimental with a Control Group Pre-Test-Post-Test Design. The sample in this study consisted of students from X.E-8, the experimental class, who were treated with differentiated LKPD, and the control class X.E-6, which was treated with undifferentiated LKPD. The research sample consisted of 76 students. The data collection employed a description test, consisting of five questions. Normality, homogeneity, and the One-Way ANOVA test were employed to analyze the data. The results of the feasibility test of differentiated LKPD, in terms of presentation, content, language, and writing, obtained an Aiken index of 0.87 and an Inter-Rater Agreement of 0.617, indicating that LKPD is valid and reliable. So, it is feasible to use as a chemistry learning medium. Based on the one-way ANOVA test analysis, it was found that there was a significant difference in the improvement of critical thinking skills between students taught using differentiated LKPD in the experimental class and those taught using undifferentiated LKPD in the control class.
Strategies and Challenges in Promoting Teacher Discipline: Insights from Vocational High Schools in Indonesia Kamaruzzaman, Kamaruzzaman; Bahrun, Bahrun; Khairuddin, Khairuddin
Journal of Educational Management and Learning Vol. 3 No. 2 (2025): November 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i2.253

Abstract

This study investigates the role of principals in promoting and sustaining a disciplined culture among teachers in vocational high schools within West Aceh District, Indonesia. Employing a qualitative, descriptive research design, the study focuses on three main objectives: examining the specific disciplinary programs implemented by principals, exploring how these initiatives are evaluated for effectiveness, and identifying the challenges principals face in ensuring consistent discipline among teachers. Data were collected through open-ended questionnaires distributed to teachers and semi-structured interviews conducted with principals, enabling a comprehensive understanding of both perspectives. Thematic analysis revealed that principals prioritize structured program implementation and regular evaluation as key strategies for managing discipline. Despite overall positive responses to the effectiveness of these initiatives, teachers highlighted several challenges, including inconsistent policy enforcement and varying levels of commitment, which hinder the establishment of a cohesive disciplinary environment. The findings suggest that while principals play a crucial role in shaping discipline, addressing specific challenges through additional resources and teacher engagement could further enhance policy adherence and effectiveness. This study provides valuable insights into the impact of leadership on school discipline and offers recommendations to strengthen disciplinary practices in vocational education settings.

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