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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Indonesian Physical Review Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Bisnisman : Riset Bisnis dan Manajemen Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) International Journal of Business, Law, and Education Innovative: Journal Of Social Science Research Global Education Journal International Journal of Educational Narratives (JUMPER) Jurnal Konseling Pendidikan Islam West Science Social and Humanities Studies JIPITI: Jurnal Pengabdian kepada Masyarakat Cognitionis Civitatis et Politicae
Soegiarto, Ita
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Physics Public Health Social Sciences Other

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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.
Analysis of the Impact of Globalization, Digital Technology, and Socio-Cultural Change on Community Identity in the Modern Era in Jakarta Judijanto, Loso; Ardianto, Rian; Soegiarto, Ita
West Science Social and Humanities Studies Vol. 1 No. 06 (2023): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v1i06.496

Abstract

This research explores the intricate interplay between globalization, digital technology, socio-cultural changes, and community identity in Jakarta, utilizing a quantitative approach. The study, based on a sample of 150 participants, employs structural equation modeling to analyze the relationships among these constructs. Descriptive statistics reveal a diverse demographic profile, while the measurement model ensures the reliability and validity of the chosen variables. The structural model elucidates significant positive relationships: digital technology, globalization, and socio-cultural changes positively influence community identity. Demographic nuances, such as age, gender, and socio-economic status, further shape these dynamics. The findings contribute to understanding community dynamics in the modern era and provide valuable insights for policymakers and community leaders.
Inovasi Pembelajaran Berbasis Teknologi Artificial Intelligences (AI) Pada Sekolah Kedinasan Di Era Revolusi Industri 4.0 Dan Society 5.O Soegiarto, Ita; Hasnah, Sitti; Nuraisyah Annas, Annisa; Sundari, Sri; Dhaniswara, Erwin
Innovative: Journal Of Social Science Research Vol. 3 No. 5 (2023): Innovative: Journal of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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Abstract

Artikel ini membahas bagaimana inovasi dalam pengajaran berbasis Teknologi Artificial Intelligence (AI) di sekolah kedinasan dapat berkontribusi dalam menghadapi perubahan dramatis dalam dunia kerja yang semakin kompleks, terutama dalam era Revolusi Industri 4.0 dan Society 5.0. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan analisis kointen. Hasil penelitian ini menunjukan bahwa AI telah menjadi kekuatan utama dalam pendidikan pada sekolah kedinasan khususnya, membuka peluang personalisasi pembelajaran, analisis data mendalam, pengembangan kurikulum yang relevan, dan efisiensi administrasi sekolah. Selain itu, artikel ini juga menggarisbawahi beberapa tantangan, seperti etika dan privasi data, serta perlunya pelatihan guru yang sesuai untuk menghadapi transformasi ini. Dalam menghadapi Revolusi Industri 4.0 dan Society 5.0, sekolah kedinasan diharapkan untuk bijak dan kreatif dalam memanfaatkan AI untuk memberikan pendidikan yang mempersiapkan siswa untuk masa depan yang terhubung dan adaptif terhadap perubahan zaman.
Workshop Penggunaan Artificial Intelligence untuk Meningkatkan Efisiensi Administrasi Sekolah Soegiarto, Ita; Manap, Abdul; Awaludin, Dipa Teruna; Sunarmi, Sunarmi; Suningrat, Nining
JIPITI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 4 (2025): November 2025 - JIPITI: Jurnal Pengabdian kepada Masyarakat
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Kegiatan administrasi sekolah merupakan salah satu aspek penting dalam mendukung penyelenggaraan pendidikan yang efektif dan efisien. Namun, berbagai proses administrasi seperti pengolahan data, penyusunan dokumen, dan manajemen informasi sering kali membutuhkan waktu yang panjang dan rentan terhadap kesalahan manusia. Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan efisiensi administrasi sekolah melalui penyelenggaraan workshop penggunaan Artificial Intelligence (AI) bagi tenaga kependidikan. Metode pelaksanaan meliputi analisis kebutuhan, pelatihan berbasis praktik langsung (hands-on training), pendampingan intensif, serta evaluasi kompetensi peserta. Workshop difokuskan pada pemanfaatan aplikasi AI generatif, otomasi dokumen, manajemen data berbasis AI, serta pemanfaatan asisten cerdas untuk tugas-tugas administratif. Hasil kegiatan menunjukkan peningkatan pemahaman peserta sebesar 85% berdasarkan hasil pre-test dan post-test, serta peningkatan kemampuan praktik dalam mengotomasi pembuatan laporan, surat-menyurat, dan pengelolaan data sekolah. Selain itu, peserta memberikan respons positif terhadap relevansi materi dan kemudahan penerapan solusi AI dalam pekerjaan sehari-hari. Kegiatan ini memberikan kontribusi signifikan dalam mendukung transformasi digital di lingkungan sekolah, terutama dalam meningkatkan efisiensi waktu, akurasi dokumen, dan kelancaran proses administrasi. Ke depan, program pendampingan lanjutan direkomendasikan untuk memperkuat keterampilan digital tenaga kependidikan dan mendorong integrasi teknologi AI secara berkelanjutan.
Mental Health Impacts of Climate Change: An Emerging Public Health Concern Soegiarto, Ita
Cognitionis Civitatis et Politicae Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i1.1753

Abstract

Climate change has increasingly been recognized as not only an environmental crisis but also a significant public health concern, particularly in terms of its impact on mental health. Extreme weather events, rising temperatures, and environmental degradation can lead to psychological stress, anxiety, and a sense of helplessness in affected populations. These mental health impacts are particularly pronounced in vulnerable communities with limited resources to adapt to changing environmental conditions. This study aims to explore the mental health consequences of climate change, focusing on how individuals and communities experience and respond to climate-related stressors. Using a mixed-methods approach, this research combines quantitative surveys and qualitative interviews to gather data from populations in areas highly affected by climate change. The study examines both the direct psychological impacts of climate events, such as post-traumatic stress disorder (PTSD), as well as the more subtle, chronic effects like eco-anxiety and feelings of loss. The findings indicate that climate change has a profound and multifaceted impact on mental health. Results show a significant increase in reported cases of anxiety, depression, and stress among those living in climate-vulnerable regions. Additionally, communities that have experienced extreme weather events, such as hurricanes or wildfires, report higher levels of trauma-related mental health issues. In conclusion, this research underscores the urgent need for mental health interventions as part of climate adaptation strategies. Addressing the mental health dimension of climate change is crucial for building resilient communities that can better cope with both the immediate and long-term effects of environmental disruption.
The Effect of Talent Management, Work Motivation, and Training on Employee Productivity in Service Organizations Mayndarto, Eko Cahyo; Soegiarto, Ita
Journal Management & Economics Review (JUMPER) Vol. 3 No. 10 (2026): April
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v3i10.964

Abstract

Employee productivity is a critical determinant of organizational success in service-based industries, where performance outcomes are highly dependent on human capital effectiveness. This study aims to examine the effect of talent management, work motivation, and training on employee productivity in service organizations. A quantitative explanatory research design was employed, and data were collected from 200 employees working in various service sectors using a structured questionnaire. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to evaluate both the measurement and structural models. The results indicate that talent management, work motivation, and training each have a significant positive effect on employee productivity, with training demonstrating the strongest influence. The model explains a substantial proportion of variance in employee productivity, highlighting the importance of integrated human resource management practices. These findings suggest that service organizations should prioritize strategic talent management, enhance employee motivation, and invest in continuous training programs to improve productivity and sustain competitive advantage. This study contributes to the human resource management literature by providing empirical evidence on the combined influence of strategic and psychological factors on employee productivity in service contexts.
Co-Authors Afriani, Gusma Ahmad Amarullah, Ahmad Ahmad Zain Sarnoto Ainul Arifah, Nur Jihan Ardianto, Rian Aries Kristianto Aristanto, Aristanto Asmuri, Asmuri Awaludin, Dipa Teruna Basir, Badirun Deni Septiadi Dhaniswara, Erwin Dian Sari, Windy Erjati Abas Fahmi Kamal, Fahmi Fatimah Malini Lubis Haetami, Haetami Hapsoro Agung Nugroho Ika ika Ilham Ilham Ilmi, Makrifatul Jahara, Jahara Jasiyah, Rabiyatul Judijanto, Loso JUFRI, RAVYDO ANGGARA Manap, Abdul Marnoto, Marnoto Mayndarto, Eko Cahyo Ma’sum, Hadiansyah Mislan Sihite, Mislan Musmulyadin, Musmulyadin NUGRAHEINI, IMMA REDHA Nugraheni, Imma Redha Nuraisyah Annas, Annisa Purnomo, Yudiyanto Joko Radjab, Fachri Rahmadhani, May Vitha Retnaningsih, Rahayu Rista Hernandi Virgianto Rony, Zahara Tussoleha RR Roosita Cindrakasih Sahib, Abdul Saryanto Saryanto Sitti Hasnah Sofyan, Iradat Rayhan Sri Tuti Rahmawati Suharmono, Soni Sunarmi Sunarmi Sundari, Sri Suningrat, Nining Supardi Supardi Suyuti Suyuti Usmany, Paul