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All Journal International Journal of Science and Mathematics Education Moral : Jurnal Kajian Pendidikan Islam
Muhammad Syahrizal Ibnu Jihad
Unknown Affiliation
Religion Education Mathematics Social Sciences

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Peran Gaya Kepemimpinan, Kompetensi, dan Kecerdasan Emosional Sangat Penting dalam Membentuk Motivasi dan Kinerja Guru di Madrasah Wahyu Ramadhan; Muhammad Syahrizal Ibnu Jihad; Abdul Latif Rahman
Moral : Jurnal kajian Pendidikan Islam Vol. 1 No. 3 (2024): September : Moral : Jurnal kajian Pendidikan Islam
Publisher : Asosiasi Riset Ilmu Pendidikan Agama dan Filsafat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/moral.v1i3.13

Abstract

This study explores the important role of leadership style, competence, and emotional intelligence in shaping teacher motivation and performance in Madrasah. An effective leadership style, solid competence in the field of education, and good emotional intelligence are considered key factors in increasing teacher motivation and performance. This research uses an analytical approach to understand how the interaction between these three elements affects teachers' work environments, as well as their impact on their achievements and professional development. It is hoped that the results of this research will provide deeper insight for Madrasah managers and educational practitioners to improve human resource management and effective staff development strategies.
Optimization Algorithms for Solving Non-linear Problems in Natural Resource Management Muhammad syahrizal ibnu jihad; Yuliana Dwi Hapsari; Satrio tegar wicaksono
International Journal of Science and Mathematics Education Vol. 1 No. 2 (2024): June:International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v1i2.59

Abstract

Natural resource management involves complex decision-making processes that often result in non-linear optimization problems. This study explores the application of genetic algorithms (GA) and particle swarm optimization (PSO) to manage resources like water and forest reserves more efficiently. We compare the effectiveness of these algorithms in achieving sustainable utilization while minimizing environmental impact. The results show that GA outperforms PSO in forest management scenarios, while PSO is more suitable for water resource distribution.
Co-Authors Abdul Latif Rahman Satrio tegar wicaksono Wahyu Ramadhan Yuliana Dwi Hapsari