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The Role of Professional Competence in Improving the Quality of Madrasah Ibtidaiyah Teacher Education El-Masri, Omar; Tanaka, Hiroshi
ELEMENTARY : Journal of Primary Education  Vol. 2 No. 1 (2024): Vol. 2 No. 1 Maret 2024
Publisher : Universitas Islam Zainul Hasan Genggong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55210/elementary.v2i1.438

Abstract

Improving the quality of education in Madrasah Ibtidaiyah depends heavily on the professional competence of teachers who teach at this level. This article aims to examine the role of teachers' professional competencies in improving the quality of education in Madrasah Ibtidaiyah through a comprehensive literature review. The research analyzes various aspects of professional competence, including pedagogical understanding, mastery of materials, classroom management skills and adaptability to curriculum changes and educational technology. The results showed that strong professional competencies contribute significantly to the effectiveness of teaching and learning and create a conducive learning environment for students. In addition, it was found that continuous training and development programs are essential in strengthening teachers' competencies, which in turn improves the quality of education in Madrasah Ibtidaiyah. This article recommends increased support for teachers' professional competence development as a key strategy to achieve higher education standards in madrasahs.
The Impact of Work Hours and Cultural Expectations on Mental Health in Japan Haga, Tatsuhiro; Tanaka, Hiroshi; Fujiwara, Kei; Suzuki, Yuki; Matsumoto, Yoshiko
Journal of Humanities and Social Sciences (JHASS) Vol 6 No 3: December 2024
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.jhass-0603.750

Abstract

This study examines the relationship between Japan's work culture and the mental health of its workers, focusing on stress, anxiety, and depression caused by long working hours and high productivity demands. Japan’s work culture, which emphasizes loyalty to the company and endurance, has contributed to a significant rise in mental health issues. Despite efforts by the government and companies to reduce overtime and provide mental health support, the policies implemented so far have proven insufficient in addressing the root causes of workplace stress. This research incorporates in-depth interviews, surveys, and case studies from workers across both private and public sectors. The findings indicate a strong correlation between long working hours and elevated stress levels, with workers in the private sector, younger employees, and women experiencing higher levels of anxiety and stress. Policies like flexible work hours, mental health programs, and reduced overtime showed positive impacts on well-being, but their inconsistent implementation limits their effectiveness. The study concludes that policies must go beyond reducing working hours and incorporate structural changes in workplace culture. Future research should investigate the long-term effects of these reforms, explore sector-specific mental health needs, and consider gendered aspects of work-related stress.
Effect of Cutting Parameters on Surface Roughness in CNC Milling Process Rahman, Ahmad Fauzi; Kowalska, Maria; Tanaka, Hiroshi
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 4 (2025): RESWARA: Jurnal Riset Ilmu Teknik, October 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i4.417

Abstract

Surface roughness is a critical quality indicator in the CNC milling process, directly influencing the functional performance, fatigue life, and aesthetic quality of machined components. The rapid development of advanced materials and high-precision manufacturing has intensified the need to understand and optimize machining parameters to achieve superior surface integrity. This study aims to systematically analyze the effects of cutting parameters on surface roughness in CNC milling by synthesizing and critically discussing findings from recent experimental and analytical studies. A comprehensive literature-based research method was employed, involving peer-reviewed journal articles indexed internationally and nationally, focusing on milling operations across metallic, composite, polymeric, and wood-based materials. The analysis reveals that feed rate consistently emerges as the most influential parameter affecting surface roughness, followed by cutting speed and depth of cut, although their relative significance varies depending on material properties, tool geometry, lubrication conditions, and machining strategies. Advanced approaches such as Taguchi methods, response surface methodology, and machine learning-based models demonstrate substantial potential in predicting and minimizing surface roughness. The findings confirm that optimal selection and control of cutting parameters can significantly enhance surface quality and machining efficiency. This article contributes a consolidated scientific perspective that can serve as a reference for researchers and practitioners in optimizing CNC milling processes.