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Contact Name
Yusram, S.Pd., M.Pd
Contact Email
journal.lamintang@gmail.com
Phone
+6281268339633
Journal Mail Official
ijeste.lamintang@gmail.com
Editorial Address
Building of LET Centre. Buana Impian, Blok B1 No. 27. Kota Batam 29452, KEPRI. Indonesia - Location = Kota Batam, Kepulauan Riau INDONESIA.
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Kota batam,
Kepulauan riau
INDONESIA
International Journal of Education, Science, Technology, and Engineering (IJESTE)
ISSN : 26851458     EISSN : 26849844     DOI : https://doi.org/10.36079/lamintang.ijeste
International Journal of Education, Science, Technology, and Engineering (IJESTE) is a peer-reviewed journal that aims at the publication and dissemination of original research articles on the latest developments in all fields of Education, Science, Technology and Engineering.
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Articles 5 Documents
Search results for , issue "Vol 8 No 1: June 2025" : 5 Documents clear
The Role of AI and Virtual Learning Environments in Enhancing STEM Education Hasegawa, Tatsuhiro; Yamada, Haruto; Nishimura, Hanako; Kobayashi, Miyuki
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0801.746

Abstract

The rapid development of educational technology, particularly Artificial Intelligence (AI) and Virtual Learning Environments (VLEs), has transformed STEM education globally. Japan, known for its technological advancements, is leveraging these innovations to enhance STEM education and prepare students for a technology-driven future. However, challenges such as teacher readiness, infrastructure limitations, and cultural barriers hinder their widespread adoption. This study aims to evaluate the effectiveness of AI and VLEs in improving student engagement and comprehension in Japan’s STEM education system, while identifying the challenges and opportunities for their integration. A mixed-methods approach, involving in-depth interviews, surveys, and case studies, was employed with 150 respondents: students, teachers, and educational technology developers. The findings indicate that AI and VLEs have a positive impact on student engagement, comprehension, and accessibility to complex STEM concepts. However, barriers such as high costs, insufficient teacher training, and infrastructure issues limit their effectiveness. Gender disparities in technology use and engagement were also noted, with female students reporting higher stress and lower engagement levels. Future research should focus on addressing the identified barriers, particularly through improved teacher training, infrastructure investments, and the development of more inclusive, adaptable learning platforms. Further studies could also explore the long-term impact of AI and VLEs on student outcomes across different educational levels and regions in Japan.
Challenges and Opportunities in Implementing Renewable Energy Deed, Ahmed; Al-Ghabera, Hassan; Ahmed, Rania Hassan; Youssef, Mariam; Mahmood, Abbas
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0801.754

Abstract

This research explores the possibilities of renewable energy, especially solar and wind energy, as a viable solution to Iraq's persistent energy crisis. Iraq, a nation with a historical reliance on oil and gas, is now experiencing significant power shortages and infrastructure issues due to extended conflict. This research employs a mixed-methods strategy—integrating expert interviews, public and industry surveys, along with comparative case studies from Morocco and Tunisia—to uncover both opportunities and challenges in the deployment of renewable energy systems. The results indicate a substantial potential for harnessing solar and wind energy while also emphasizing major challenges, such as insufficient infrastructure, unstable policies, and reduced investment. To address these challenges, the research highlights the importance of robust government dedication, infrastructure improvement, and increased involvement from the private sector. Moreover, cultural and economic contexts should be considered for successful implementation. The study finds that a comprehensive and inclusive national strategy is crucial for incorporating renewable energy into Iraq’s energy ecosystem. Additional research is recommended to evaluate project-specific viability, policy frameworks, and the effects of global collaboration on speeding up Iraq’s shift to renewable energy
Intelligent Learning Environments for 21st-Century Competencies: Connecting Engagement, Achievement, and Teamwork in Vocational Training Chui, Len Wan; Heng, Cheng Jie; Yang, Wang Li
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0801.762

Abstract

This study investigates the integration of smart classrooms and collaborative learning to enhance 21st-century competencies in Taiwan’s vocational education. Using a mixed-methods approach, the research involved surveys with 300 students and qualitative data from classroom observations and teacher interviews in both urban and rural schools. Results showed significant improvements in student engagement, academic achievement, and soft skills such as teamwork (+27%), communication (+18%), and problem-solving (+25%). Smart classrooms also helped narrow the digital divide, yet challenges remain in rural areas, including limited teacher training (60%), inadequate internet access (35%), and infrastructure constraints (75%). Despite these issues, institutional readiness was relatively high—73% for training and 82% for infrastructure. The findings suggest that while smart classrooms positively impact learning outcomes, long-term success requires equitable access, sustained infrastructure support, and targeted professional development. Future research should explore their long-term effects on employability and the potential of adaptive learning technologies for personalized vocational training.
An Efficiency of Auxiliary Power Consumption in Substations Using Renewable Energy Potentials in East Kalimantan Province Silalahi, Chandra Lima; Setiawan, Eko Adhi
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0801.840

Abstract

PT PLN (Persero) as the Indonesian state electricity supply company must carry out an energy transition in terms of generation, transmission and distribution. Substation in Indonesia’s electric power transmission sector have not yet incorporated the idea of green energy into their operation, despite the fact that there is a great potential for renewable energy in substations, such as the usage of solar and wind energy. The primary power source for the auxiliary substation is energy from the grid, with diesel power serving as a backup. However, the energy mix in the Kalimantan grid is still dominated by energy from coal (based on the Annual Operation Evaluation Report PLN UIP3B 2023). This research investigates the technical and economic viability of utilizing renewable energy in auxiliary substations to mitigate the company’s escalating financial burden. Technically, the study aims to determine the optimal PV panel capacity required for auxiliary power needs. Economically, it evaluates the total investment and operational costs, Internal Rate of Return (IRR), Return on Investment (ROI), payback periods, and Levelized Cost of Energy (LCOE). Unique to this study is the direct measurement of kWh consumption data from 23 substations in East and North Kalimantan, a method not previously employed. The findings provide recommendations on the appropriate PV capacity for installation in substations and present economic analysis.
Automated Defense Against Application-Layer Attacks on Windows Systems Using Wazuh and Shuffle Thakker, Aastha; More, Aditya; Kumar, Kapil
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 8 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0801.842

Abstract

Application-layer attacks targeting Windows systems remain a significant threat due to their ability to bypass traditional perimeter defenses. These attacks often exploit vulnerabilities listed in the OWASP Top 10 for desktop applications, demanding proactive defense mechanisms. This paper proposes a unified approach that combines SIEM and SOAR capabilities to detect and respond to Windows-based application-layer threats with increased efficiency and automation. The framework integrates the open-source SIEM platform Wazuh with the SOAR engine Shuffle to automate threat detection and incident response. A layered defense strategy is implemented, involving log correlation, rule-based policy enforcement, and playbook-driven response automation. The integration reduces manual triage overhead and enhances response time compared to traditional SOC patterns. This framework demonstrates a scalable, open-source-based solution for defending Windows environments at the application layer. It sets the groundwork for future integration of AI-driven analytics, multi-OS support, and tamper-proof event lo event logging using blockchain technologies.

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