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The Importance of Technology-Based Learning Design to Increase Student Involvement Hafizh, Muhammad; M, Amril Huda; Dafrizal, Dafrizal; Edni, Alisya Putri
Ahlussunnah: Journal of Islamic Education Vol. 3 No. 1 (2024): April
Publisher : STIT Ahlussunnah Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58485/jie.v3i1.212

Abstract

This research examines the use of animation as a technology-based learning medium to increase student learning motivation. In the rapid development of information and communication technology, education requires innovative transformations in learning methods. Animation has been recognized as an effective tool for enriching students' learning experiences through clear and interactive visual representations. This research aims to analyze literature related to the use of animation as a learning medium, explore the advantages and challenges of its use, and convey the contribution of this research to the development of innovative learning practices. The method used in this research is a literature study, where data is obtained through analysis of theoretical sources and related research. The results of the literature study analysis show that animation has great potential to increase student learning motivation, involvement, creativity, and personalized learning. However, educators and researchers need to pay attention to good animation design and the role of educators in facilitating the effective use of animation. This research contributes to the development of innovative learning practices and enriches understanding of the use of animation as an effective learning medium in increasing student learning motivation.
SCHOOL BASED MANAGEMENT TO IMPROVE THE QUALITY OF EDUCATION IN THE GLOBALIZATION ERA Rahmi, Elvi; Hafizh, Muhammad; M, Amril Huda; Wahyuni, Sri Intan; Elfira, Ninil; Ahda, Muhammad Yazid
El-Rusyd Vol. 9 No. 2 (2024): December
Publisher : Sekolah Tinggi Ilmu Tarbiyah (STIT) Ahlussunnah Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58485/elrusyd.v9i2.272

Abstract

The era of globalization demands changes in various aspects of life, including in the world of education. One of the efforts to improve the quality of education in the midst of global challenges is to implement School-Based Management. The purpose of this research is to find out how the implementation of school-based management can improve the quality of education in schools. This research uses a descriptive qualitative method with data collection techniques through observation, interviews and documentation studies. The results showed that 1) school-based management in improving service quality provides educational services that are responsive, efficient, and relevant to students' needs, 2) school-based management in improving curriculum quality produces learning that is relevant, innovative, and oriented to the development of students' competencies as a whole, while 3) school-based management in managing and developing facilities and infrastructure can create a physical environment that supports the learning process, the implementation of school-based management has a positive impact on improving the quality of education, especially in the field of education. Thus, school-based management is an effective strategy to improve the quality of education in the era of globalization, where the active role of all stakeholders is very important to achieve the goals of quality education and global competitiveness.
Contextual Learning Strategies in Improving Students Understanding of Islamic Values M, Amril Huda; Andra, Andra; Ulwi, Krim
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2275

Abstract

Background. Contextual Teaching and Learning strategies are an effective approach to improve students" understanding of Islamic values by relating the subject matter to real situations that are relevant to daily life. Purpose. This study aims to analyze the influence of contextual learning strategies in strengthening students" understanding of Islamic teachings. Method. The method used is a qualitative-based literature study with data tracing from scientific journals, books, and recent research reports. Results. The results of the analysis show that contextual learning is able to increase students" active engagement, strengthen their understanding of Islamic values, and motivate the application of these teachings in real life. In addition, the role of teachers as creative and innovative facilitators is the key to the successful implementation of this strategy. The implications of this study confirm the importance of integrating Islamic values and experiential learning strategies to create a meaningful and holistic educational process. Conclusion. Contextual learning strategies are effective in instilling Islamic values in an applicative and meaningful manner. This approach encourages student engagement and 21st century skill development. Its success requires the support of teachers, schools, and synergistic policies.
Contextual Learning Strategies in Improving Students Understanding of Islamic Values M, Amril Huda; Andra, Andra; Ulwi, Krim
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2275

Abstract

Background. Contextual Teaching and Learning strategies are an effective approach to improve students" understanding of Islamic values by relating the subject matter to real situations that are relevant to daily life. Purpose. This study aims to analyze the influence of contextual learning strategies in strengthening students" understanding of Islamic teachings. Method. The method used is a qualitative-based literature study with data tracing from scientific journals, books, and recent research reports. Results. The results of the analysis show that contextual learning is able to increase students" active engagement, strengthen their understanding of Islamic values, and motivate the application of these teachings in real life. In addition, the role of teachers as creative and innovative facilitators is the key to the successful implementation of this strategy. The implications of this study confirm the importance of integrating Islamic values and experiential learning strategies to create a meaningful and holistic educational process. Conclusion. Contextual learning strategies are effective in instilling Islamic values in an applicative and meaningful manner. This approach encourages student engagement and 21st century skill development. Its success requires the support of teachers, schools, and synergistic policies.
Implementation of Agent Systems in Big Data Management: Integrating Artificial Intelligence for Data Mining Optimization M, Amril Huda; Simamora, Rani; Ulwi, Krim
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.1210

Abstract

Background: The rapid growth of data generated across various domains necessitates advanced methodologies for effective data management and extraction of meaningful insights. Traditional data processing techniques often struggle with the volume, variety, and velocity of big data. The integration of Agent Systems and Artificial Intelligence (AI) presents a promising approach to address these challenges by enhancing the efficiency and effectiveness of data mining processes. Objective: This study aims to explore the implementation of Agent Systems in big data management, focusing on how the integration of AI can optimize data mining operations. By leveraging the capabilities of intelligent agents, we seek to improve the accuracy, speed, and scalability of data analysis. Methods: A hybrid research methodology was employed, combining a systematic literature review with an empirical case study. The literature review analyzed previous research on Agent Systems, AI, and big data management to identify key trends and challenges. The empirical case study involved deploying an AI-integrated Agent System within a large-scale data environment to evaluate its performance. Key performance indicators (KPIs) such as processing time, accuracy, and scalability were measured and analyzed. Results: The findings indicate that the integration of AI within Agent Systems significantly enhances the data mining process. The system demonstrated a reduction in processing time by 40%, an increase in data analysis accuracy by 25%, and improved scalability, handling larger datasets more efficiently compared to traditional methods. These improvements were attributed to the autonomous and adaptive nature of agent systems, which enabled dynamic data processing and real-time decision-making. Conclusion: The study concludes that the implementation of AI-integrated Agent Systems in big data management offers substantial benefits, including optimized data mining performance. This integration facilitates more efficient and effective data analysis, which is crucial for organizations dealing with large volumes of data. Future research should focus on further refining these systems and exploring their application across different sectors.