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All Journal Eduvest - Journal of Universal Studies
Sofianti (Efi), Nunung Ayu
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Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences

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The Influence of Work Discipline, Motivation, Competence, and Work Environment on Work Productivity Triestanto, Johannes; Ismail, Gurawan Dayona; Sofianti (Efi), Nunung Ayu; Sudaryo, Yoyo; Sumawidjaja, Riyandi Nur
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52436

Abstract

Work productivity is one of the most important aspects of an organization. It refers to the results of employees’ work within a certain period, carried out effectively and efficiently by considering the resources used to perform their tasks. This study aims to empirically test and analyze the influence of work discipline, motivation, competence, and work environment on work productivity, both partially and simultaneously. The method used in this study is a quantitative research method with a descriptive and verification approach. The data sources consist of primary and secondary data. Data collection techniques used include interviews, questionnaires, observations, and library research conducted both online and offline. The population in this study includes all 36 employees; therefore, the sampling technique applied is a census sample or total sampling. The analytical tool used is SPSS version 25. The validity and reliability of the data were assessed through validity and reliability tests, classical assumption tests, and data analysis techniques such as multiple linear regression, correlation, and coefficient of determination analyses. Hypothesis testing was conducted using the t-test (partial) and F-test (simultaneous). The results of this study indicate that work discipline, motivation, competence, and work environment have a positive and significant effect on work productivity, both partially and simultaneously, with a contribution of 93.3%, while the remaining 6.7% is influenced by other variables not examined in this study.
The Influence of Organizational Culture, Work Environment, and Leadership Style on Work Motivation and its Impact on Job Satisfaction of Generation Z Civil Apparatus (ASN) in the Bandung Regency Government Rahmawati, Reni; Ismail, Gurawan Dayona; Sofianti (Efi), Nunung Ayu; Sudaryo, Yoyo; Suryaningprang, Andre
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52518

Abstract

The research background is based on the conditions of Generation Z entering the workforce and their distinct work expectations. This study aims to analyze the influence of Organizational Culture, Work Environment, and Leadership Style on Work Motivation and their impact on the Job Satisfaction of Generation Z Aparatur Sipil Negara (ASN) in the Bandung Regency Government. The research method employs a descriptive and verification approach, utilizing questionnaires for data collection and Structural Equation Modeling (SEM) for analysis. The findings indicate that Organizational Culture, Work Environment, and Leadership Style have a positive and significant effect on Work Motivation. Directly, Organizational Culture and Leadership Style significantly influence Job Satisfaction, whereas Work Environment does not have a significant effect. Work Motivation is shown to have the most dominant influence on Job Satisfaction and acts as a mediator in the relationship between Organizational Culture and Job Satisfaction, but does not mediate the influence of Work Environment and Leadership Style on Job Satisfaction. Overall, the study highlights the importance of strengthening organizational culture, promoting adaptive leadership, and enhancing motivational aspects to support the job satisfaction of Generation Z civil servants in facing bureaucratic transformation.
The Effect Of Digital Competence On Employee Performance Through Artificial Intelligence Adaptation As An Intervening Variable Maulana, Muhamad; Ismail, Gurawan Dayona; Sofianti (Efi), Nunung Ayu; Sudaryo, Yoyo; Aryanti, Asti Nur
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52588

Abstract

This study aims to analyze the effect of Digital Competence, Technology Readiness, and Leadership Style on Employee Performance through the adaptation of Artificial Intelligence (AI) among employees at PT Sewangi Alam Nusantara. The study is motivated by the need to improve employee effectiveness, efficiency,and work quality in the digital era, where digital literacy,readiness of technological infrastructure, and adaptive leadership are key factors supporting adaptation to AI-based innovations. The research employed a quantitative approach with data collected through questionnaires distributed to 102 employees. Data analysis was conducted using Structural Equation Modeling (SEM)via Smart PLS 3.0 to examine both direct and indirect relationships among variables. The results indicate that Digital Competence (path coefficient = 1.740), Technology Readiness (2.731), and Leadership Style (1.844) positively affect Employee Performance. These three variables also contribute positively to AI Adaptation (0.534; 0.834; 1.063), which significantly mediates the improvement in employee performance (0.423), resulting in a total mediated effect of 0.917. The study concludes that a combination of digital competence, technology readiness, and adaptive leadership, reinforced by AI adoption, is a critical factor in enhancing employee productivity and performance. Practical implications include the need for digital literacy development, upgrading technological infrastructure,and applying leadership styles that support digital transformation to ensure optimal AI implementation in the workplace.
Co-Authors Andre Suryaningprang Asti Nur Aryanti Ismail, Gurawan Dayona Muhamad Maulana, Muhamad Rahmawati, Reni Riyandi Nur Sumawidjaja Triestanto, Johannes Yoyo Sudaryo