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PENGARUH BUDAYA ORGANISASI, MOTIVASI KERJA DAN KOMPETENSI TERHADAP KINERJA GURU (STUDI PADA SEKOLAH BINA INSAN MANDIRI JAKARTA BARAT) Aris Munandar; Nur Aini; Maswanto Maswanto
Media Riset Bisnis Ekonomi Sains dan Terapan Vol 1, No 3 (2023): Media Riset Bisnis Ekonomi Sains dan Terapan
Publisher : Taksasila Edukasi Insani

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Abstract

ABSTRACTThis study aims to determine the effect of organizational culture, work motivation and competence on teacher performance (at Mandiri insan schools, West Jakarta). The population in this study were all teachers at SMP and SMK Bina Insan Mandiri, totaling 75 people and all of them were used as samples. The research sample was determined using the Saturated Sample technique. Data collection was carried out by distributing questionnaires using a Likert scale. The analytical method used is multiple linear analysis method. From this study it shows that the estimated multiple linear regression model is feasible to use to explain the influence of organizational culture, work motivation and competency variables on teacher performance. Simultan organizational culture and competence have a significant effect on teacher performance while work motivation has no effect on teacher performance.Keywords:Organizational culture, work motivation and competence, teacher performance
The Effect of Talent Management and Competence on Job Satisfaction and its Implication on Organizational Commitment at PT Sinergi Membangun Bangsa Agus Setiawan Widio Saputro; Maswanto Maswanto; Nuraeni Nuraeni
Greenation International Journal of Economics and Accounting Vol. 1 No. 2 (2023): (GIJEA) Greenation International Journal of Economics and Accounting (June 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v1i2.71

Abstract

This study aims to examine the influence of talent management on job satisfaction, competence on job satisfaction, talent management on organizational commitment, competency on organizational commitment, job satisfaction on organizational commitment, talent management on organizational commitment through job satisfaction, competence on organizational commitment through satisfaction work. The research design used in this study is a quantitative and causal analysis method. The data came from 70 employees of PT Sinergi Membangun Bangsa through questionnaires and processed using the partial least squares (SmartPls). The results of this study simultaneously variable talent management and work competence affect job satisfaction with a contribution of 45,8%. Other than that, simultaneously talent management, work competence and job satisfaction affect organizational commitment, which is equal to 72,1%.
STRATEGI MANAJEMEN UNTUK MENINGKATKAN KEPUASAN KERJA GURU BERDASARKAN FAKTOR MOTIVATOR Ruruh Wuryani; Maswanto Maswanto
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 1 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v8i2.14116

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor motivator yang memengaruhi kepuasan kerja guru di SMAN 3 Tangerang, serta merancang strategi manajemen berbasis teori motivasi Herzberg untuk meningkatkan kesejahteraan guru. Masalah yang dihadapi adalah rendahnya motivasi kerja akibat minimnya pengakuan dan kesempatan pengembangan profesional, yang secara langsung memengaruhi kualitas pembelajaran. Inovasi penelitian ini adalah fokus pada faktor motivator intrinsik seperti pencapaian, pengakuan, tanggung jawab, pekerjaan itu sendiri, kemajuan, dan pertumbuhan, tanpa melibatkan faktor hygiene yang sudah dianggap standar. Metode yang digunakan adalah survei deskriptif kuantitatif dengan pendekatan total sampling terhadap seluruh 52 guru di SMAN 3 Tangerang. Data dikumpulkan melalui kuesioner berbasis skala Likert dan dianalisis menggunakan Smart-PLS 4.0 untuk mengidentifikasi hubungan antara faktor motivator dan kepuasan kerja. Hasil penelitian menunjukkan bahwa faktor pertumbuhan (31,4%) dan pencapaian (23%) memiliki pengaruh terbesar terhadap kepuasan kerja, sementara faktor kemajuan memiliki dampak negatif (-1,3%) akibat keterbatasan jalur karier. Temuan ini menekankan pentingnya pengembangan profesional, pemberian penghargaan atas prestasi, dan kebijakan promosi yang transparan untuk meningkatkan motivasi guru. Implikasi praktisnya mencakup desain kebijakan strategis untuk meningkatkan kualitas pendidikan melalui kesejahteraan guru.
The Effect of Talent Management and Competence on Job Satisfaction and its Implication on Organizational Commitment at PT Sinergi Membangun Bangsa Agus Setiawan Widio Saputro; Maswanto Maswanto; Nuraeni Nuraeni
Greenation International Journal of Economics and Accounting Vol. 1 No. 2 (2023): (GIJEA) Greenation International Journal of Economics and Accounting (June 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v1i2.71

Abstract

This study aims to examine the influence of talent management on job satisfaction, competence on job satisfaction, talent management on organizational commitment, competency on organizational commitment, job satisfaction on organizational commitment, talent management on organizational commitment through job satisfaction, competence on organizational commitment through satisfaction work. The research design used in this study is a quantitative and causal analysis method. The data came from 70 employees of PT Sinergi Membangun Bangsa through questionnaires and processed using the partial least squares (SmartPls). The results of this study simultaneously variable talent management and work competence affect job satisfaction with a contribution of 45,8%. Other than that, simultaneously talent management, work competence and job satisfaction affect organizational commitment, which is equal to 72,1%.
Artificial Intelligence Enhancing Financial Regulatory Compliance Through RegTech Governance Applications Wisnu Wira Atmadja Effendi; Maswanto Maswanto; Ma’mun Murod; Isabella Maria
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.716

Abstract

The increasing complexity of global financial regulatory frameworks poses significant challenges for financial institutions in ensuring compliance, managing risk, and maintaining operational efficiency, particularly in environments characterized by frequent regulatory updates and cross-jurisdictional requirements. This study aims to examine how Artificial Intelligence (AI) can be effectively applied to navigate complex regulatory frameworks by enhancing regulatory interpretation, compliance monitoring, and decision-making processes. A conceptual and analytical approach was adopted, combining a systematic review of recent Regulatory Technology (RegTech) literature with an analysis of AI techniques, including machine learning, natural language processing, and automated reasoning, as applied to regulatory compliance scenarios. Qualitative insights and illustrative use cases were employed to evaluate alignment between AI capabilities and regulatory demands in areas such as regulatory reporting, risk assessment, and anomaly detection. The findings indicate that AI-based systems have the potential to improve the accuracy, speed, and adaptability of compliance processes by supporting automated regulatory interpretation, identifying potential compliance risks, and enhancing monitoring of regulatory changes. When appropriately governed, AI may reduce human error and operational costs while increasing transparency and auditability. The study concludes that AI has strong potential to transform the way financial institutions navigate complex regulatory frameworks, but its effectiveness depends on robust data governance, explainable AI models, and alignment with ethical and legal standards, and it provides strategic insights for regulators and financial institutions seeking responsible adoption of AI in highly regulated financial environments.