Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Eduvest - Journal of Universal Studies
Sofianti (Efi), Nunung Ayu
Unknown Affiliation
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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 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 Asti Nur Aryanti Ismail, Gurawan Dayona Muhamad Maulana, Muhamad Riyandi Nur Sumawidjaja Triestanto, Johannes Yoyo Sudaryo