Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Indonesian Journal of Educational Science (IJES) International Journal of Mathematics and Science Education Global Science: Journal of Information Technology and Computer Science
Muhamad Aris Sunandar
Unknown Affiliation
Computer Science & IT Education Mathematics Other

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

Found 3 Documents
Search

 1 
The Effect of Video-Based Flipped Classroom Strategy on Learning Outcomes and Students’ Active Participation Moch Dicky Riza; Muhamad Aris Sunandar; Siti Fatimah Abd. Rahman
International Journal of Mathematics and Science Education Vol. 1 No. 3 (2024): August : International Journal of Mathematics and Science Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijmse.v1i3.255

Abstract

The flipped classroom model has gained significant attention as an innovative pedagogical approach, particularly in enhancing student engagement and learning outcomes. This study investigates the effectiveness of a video-based flipped classroom in improving students' academic performance and active participation during in-person classes. The research employed a quasi-experimental design, with two groups: one experiencing the flipped classroom approach, and the other following traditional lecture-based instruction. Data were collected through pre- and post-tests to assess learning outcomes, as well as an observation rubric to measure student participation. Results indicated that the flipped classroom group showed a 17% improvement in learning outcomes compared to the traditional group. Furthermore, the flipped classroom group exhibited twice the level of active participation, as measured by the rubric. These findings suggest that the flipped classroom model is effective in fostering a more interactive and participatory learning environment, where students engage with content before class and apply their knowledge through discussions and problem-solving activities during in-class sessions. The study also highlights the importance of video-based learning in preparing students for active participation and the role of the teacher as a facilitator in flipped classrooms. Despite the promising results, the study acknowledges several limitations, including reliance on technology and students' readiness for independent learning. The study concludes with recommendations for teacher training and future research to further explore the effectiveness of flipped classrooms across diverse educational contexts.
Analysis of Teacher Perceptions on Problem-Based Learning to Improve the Mathematical Abilities of Vocational High School Students Muhamad Aris Sunandar; Farah Dzil Barr
Indonesian Journal of Educational Science (IJES) Vol 7 No 2 (2025): Indonesian Journal of Educational Science (IJES)
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/ijes.v7i2.4622

Abstract

This research aims to analyze the perceptions of vocational high school mathematics teachers towards Problem-Based Learning and evaluate the effectiveness of this method in improving students’ mathematical problem-solving abilities. This research is important because mathematical problem-solving skills are essential competencies that support students’ critical and creative thinking skills, yet they remain low in many schools. This research uses a mixed-method approach with a quantitative questionnaire to measure teachers’ perceptions of problem-based learning and qualitative interviews to explore more in-depth information. The participants were 45 vocational high school mathematics teachers in Kendal Regency who were selected using purposive sampling. Data were analyzed descriptively to identify patterns in teachers’ perceptions and to analyze interviews to understand the challenges of implementing the method. The results show that most teachers positively perceive problem-based learning, with 80% agreeing that this skill is essential. However, the main obstacles are the lack of teacher competence in innovative learning strategies and limited facilities. This research recommends continuous training for teachers and the development of problem-based modules to support the successful implementation of problem-based learning.
Blockchain-Enabled Multi-Agent Reinforcement Learning for Secure Decentralised Resource Allocation in 5G/6G Network Slicing Agustinus Suradi; Muhamad Aris Sunandar; Umna iftikhar
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 3 (2025): September: Global Science: Journal of Information Technology and Computer Scien
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i3.174

Abstract

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem
Co-Authors Agustinus Suradi Farah Dzil Barr Moch Dicky Riza Siti Fatimah Abd. Rahman Umna iftikhar