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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Advance Sustainable Science, Engineering and Technology (ASSET)
Ghufron Abdullah
Universitas Persatuan Guru Republik Indonesia Semarang
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ENHANCING LEARNING QUALITY: THE ROLE OF INSTRUCTIONAL LEADERSHIP, CLASSROOM MANAGEMENT AND TEACHER PEDAGOGICAL COMPETENCE IN ELEMENTARY SCHOOLS Puji Rahayu; Titik Haryati; Ghufron Abdullah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2873

Abstract

This study aims to investigate the influence of instructional leadership, classroom management, and teachers’ pedagogical competence on the quality of learning in public elementary schools in Boja District, Kendal Regency. Using a quantitative approach with a correlational survey design, data were collected from 200 elementary school teachers selected through proportionate stratified random sampling. Data were obtained using validated questionnaires and analyzed using multiple linear regression. The findings reveal that all three independent variables have a positive and significant effect on learning quality. Instructional leadership showed the strongest influence (β = 0.487, p < 0.001), followed by classroom management (β = 0.282, p < 0.001), and pedagogical competence (β = 0.151, p < 0.001). The regression model was statistically significant (F = 353.166, p < 0.001), with an adjusted R² of 0.841, indicating that the three variables collectively explain 84.1% of the variance in learning quality. These findings underscore the importance of strengthening school leadership, enhancing classroom management practices, and developing teachers’ pedagogical skills to improve the overall quality of education. This research contributes practical insights for policy formulation and professional development programs aimed at improving learning outcomes in elementary education.
THE IMPLEMENTATION OF STUDENT MANAGEMENT IN ELEMENTARY SCHOOL: A REFLECTION FROM SD NEGERI 2 BEBENGAN Purdiyanti; Titik Haryati; Ghufron Abdullah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2941

Abstract

This study examines the implementation of student management at SD Negeri 2 Bebengan, a Transformative Model School in Boja District, Kendal Regency. The research aims to describe how key components of student management—planning, development, evaluation, and transfer—are practiced and contribute to improving educational quality. Using a qualitative descriptive method, data were collected through structured observations, semi-structured interviews, and documentation. The findings show that student planning is conducted collaboratively through data-informed strategies involving recruitment, orientation, and placement. Student development is supported through mentoring, guidance, co-curricular activities, and character education, ensuring holistic growth. Evaluation of learning is systematic, combining diagnostic, formative, and summative assessments used to adapt instructional practices and inform academic decisions. The school also employs regulated transfer and dropout management procedures to maintain continuity in student learning. These practices are aligned with national education standards and international best practices in student-centered management. The study concludes that structured and inclusive student management enhances academic outcomes and personal development. Recommendations include improving digital data systems, enhancing teacher training in socio-emotional learning, and strengthening parental involvement and post-pandemic support systems.
Scalable TOPSIS Variants in Web-Based Decision Support Systems: A Performance Benchmarking Study on Vectorization and Uncertainty Modelling Ghufron Abdullah; Nugroho Dwi Saputro; Nurkolis
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.3122

Abstract

This study systematically benchmarks the computational performance and decision consistency of three TOPSIS variants—classical TOPSIS, vectorized TOPSIS, and Z-TOPSIS—in scalable web-based multi-criteria decision support systems (DSS). Although TOPSIS is widely used due to its simplicity and interpretability, its scalability and computational behavior under concurrent web workloads remain insufficiently explored. To address this gap, the algorithms were evaluated using datasets containing 50–500 alternatives and 10 criteria, representing realistic decision-making scenarios. Classical TOPSIS was used as the baseline, vectorized TOPSIS applied matrix-based optimization, and Z-TOPSIS incorporated Z-numbers to capture uncertainty. Experiments were conducted on a cloud-based DSS equipped with multi-core CPUs and 16–32 GB RAM, measuring execution time, throughput, response time, and ranking consistency under workloads of 50–500 concurrent users. The results show that vectorized TOPSIS reduced execution time by approximately 50–55% (26.3 ms vs. 57.9 ms) and achieved the highest throughput of 480 requests per second. In contrast, Z-TOPSIS produced higher latency (68.4 ms) due to additional reliability computations. Ranking consistency remained high between classical and vectorized TOPSIS (Kendall’s tau ≥ 0.98), while Z-TOPSIS showed minor deviations (tau = 0.91). These findings provide practical guidance for selecting TOPSIS variants in scalable web-based MCDM applications.
Co-Authors Nugroho Dwi Saputro Nurkolis Puji Rahayu Purdiyanti Titik Haryati