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Mapping the Path to Teacher Performance: Discipline, Emotional Intelligence, and Job Satisfaction Vally, Valentinus; Lianto, Lianto
Managere: Indonesian Journal of Educational Management Vol. 7 No. 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52627/managere.v7i4.1359

Abstract

This study aims to analyze the influence of work discipline and emotional intelligence on teacher performance with job satisfaction as a mediating variable. Using a quantitative approach and Structural Equation Modeling analysis with SmartPLS 4.0, data were analyzed from 39 respondents. The results showed that work discipline had a significant effect on job satisfaction (β = 0.771; p < 0.001) and teacher performance (β = 0.538; p < 0.001). In contrast, emotional intelligence did not show a significant effect on job satisfaction (β = 0.038; p = 0.729), but directly affected teacher performance (β = 0.346; p < 0.001). Job satisfaction made a positive contribution to performance (β = 0.315; p = 0.006) and partially mediated the relationship between work discipline and performance (β = 0.242; p = 0.006). This model explains 84.5% of the variance in teacher performance. These findings confirm that work discipline is an important personal resource for improving performance, both directly and by increasing job satisfaction. At the same time, emotional intelligence serves as a direct driver of performance. Practical implications recommend improved discipline, performance-based emotional intelligence training, and improved working conditions to support optimal job satisfaction.
Optimalisasi Keuntungan Kopi Jawara Menggunakan Pemrograman Linear Melalui Metode Simpleks Anastasya, Anastasya; Julita, Anggi; VALLY, VALENTINUS
Jurnal Sosial dan Humaniora Vol. 2 No. 1 (2026)
Publisher : CV. AKIRA JAVA BULU

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Abstract

This study aims to optimize the profit of the Jawara Coffee Micro, Small, and Medium Enterprise (MSME) by employing linear programming with the simplex method. This MSME faces challenges in determining the optimal production combination to maximize their profit with limited resources. In the production process of Jawara Coffee, this research identified decision variables, an objective function, and constraints. Production costs, selling prices, production capacity, market demand, andother relevant data were collected. Subsequently, a linear programming model was constructed and solved using the simplex method to determine the optimal production combination. This study demonstrates that the application of the simplex method can provide a significant optimal solution to enhance the profitability of the Jawara Coffee MSME. Furthermore, this research offers valuable insights and recommendations for the Jawara Coffee MSME to improve their operational efficiency and profitability amidst intense market competition.