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Effects of Leadership Development Programs, Mentorship, and Employee Empowerment on Organizational Performance Soegiarto, Ita; Rahmadhani, May Vitha; Ainul Arifah, Nur Jihan; Ilham, Ilham
International Journal of Business, Law, and Education Vol. 5 No. 2 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i2.755

Abstract

This study investigates the effects of Leadership Development Programs, Mentorship, and E mployee Empowerment on organizational performance in Indonesian companies. Using a sample of 2000 respondents and employing SPSS for data analysis, the study finds that all three factors significantly and positively impact organizational performance. The regression analysis reveals that Leadership Development Programs (Beta = 0.322, p = 0.005), Mentorship (Beta = 0.298, p = 0.000), and Employee Empowerment (Beta = 0.384, p = 0.000) are strong predictors of organizational performance. The overall model explains 67.4% of the variance in organizational performance (R² = 0.674). Additionally, normality and multicollinearity assessments confirm the robustness of the model. These findings underscore the critical role of leadership development, mentorship, and employee empowerment in enhancing organizational outcomes. The study provides valuable theoretical contributions and practical implications for organizational leaders aiming to improve performance through strategic investments in these areas.
Redefinisi Kepemimpinan dalam MSDM: Studi Bibliometrik Mendalam tentang Kepemimpinan Transformasional, Kecerdasan Emosional, dan Efektivitas Organisasi Haetami, Haetami; Purnomo, Yudiyanto Joko; Jasiyah, Rabiyatul; Soegiarto, Ita; Suharmono, Soni
Jurnal Bisnisman : Riset Bisnis dan Manajemen Vol 5 No 2 (2023): Jurnal Bisnisman : Riset Bisnis dan Manajemen
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/bisnisman.v5i2.154

Abstract

HRM leadership has evolved significantly in an era of rapid and complex organizational change. This research uses bibliometrics, focusing on transformational leadership, emotional intelligence, and organizational effectiveness. We found key trends, influential authors, research clusters, and emerging themes. This analysis reaffirms the importance of transformational leadership and emotional intelligence. Works from leading scholars such as Bass, Avolio, Goleman, and Guest remain influential. We also identify emerging leadership paradigms, including agile and inclusive models adapted to modern challenges. Interdisciplinary links with psychology, organizational behavior, and technology management highlight the cross-disciplinary nature of HRM leadership research. Collaborative networks and new scholars enrich perspectives and methodologies. Practical implications emphasize the importance of transformational leadership and emotional intelligence for HRM practitioners, advocating for agile and inclusive models. Future research directions include examining the impact of digital transformation on leadership and the critical role of leadership in promoting diversity and inclusion.
EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES Nugraheni, Imma Redha; Virgianto, Rista Hernandi; Kristianto, Aries; Septiadi, Deni; Nugroho, Hapsoro Agung; Soegiarto, Ita; Radjab, Fachri
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.493

Abstract

This study examines long-term surface temperature variability and climate extremes in the Dieng Plateau, Central Java, from 1991 to 2022. Despite its tropical location, the region’s unique high-altitude microclimate, with frequent frost events, has raised concerns for local agriculture, particularly potato farming. However, limited observational data has constrained in-depth assessments. To address this, we used bias-corrected ERA5 reanalysis data, calibrated using hourly observations from an Automatic Weather Station (AWS) installed in 2021. The analysis focused on climatological trends and temperature-related extreme indices following the Expert Team on Climate Change Detection and Indices (ETCCDI) framework. Our findings indicate seasonal patterns in diurnal temperatures, with JJA (June–August) exhibiting the greatest variability and the lowest night time temperatures, conditions favorable to frost formation. Among the extreme indices, warmest night temperatures (TNx) increased significantly at a rate of 0.017°C/year (p < 0.01), while coldest night temperatures (TNn) showed a slight but significant decline. The frequency of warm nights (TN90p) rose by 0.242 days/month, while cold nights (TN10p) decreased by 0.161 days/month. Meanwhile, trends for warm days (TX90p), cold days (TX10p), and cold spell duration (CSDI) were statistically insignificant. These results highlight the plateau’s sensitivity to night time warming and the potential risk of climate-driven shifts in frost occurrence. The combination of high-resolution reanalysis data and extreme indices offers valuable insight into microclimate behavior in tropical highlands, with direct implications for frost risk management and climate adaptation strategies in vulnerable agricultural zones.