Digital Competence and Adaptability

This research aims to determine the influence of Digital Competence and Adaptive Capability on the Career Readiness of Students at the Faculty of Economics and Business. The population of this research was 372 students from the Faculty of Economics and Business with a sample size of 79 using the Slovin formula with purposive sampling technique. This research is quantitative descriptive. The data collection method in the research uses primary data, namely questionnaires via form and secondary data. The data analysis technique uses multiple linear regression analysis with SPSS software ver 25. Based on the findings, it shows that partially the Digital Competence variable and the Adaptive Capability variable have an effect on Career Readiness. And simultaneously the Digital Competence and Adaptive Capability variables on Career Readiness in students at the Faculty of Economics and Business. This linear regression model with independent variables (Digital Competence and Adaptive Capability), has proven to be very effective in explaining the dependent variable (Career Readiness) because it approaches the value of one (1). These findings provide an important contribution in designing more effective curriculum development strategies to improve student career readiness in the digital era.

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Publication Details

Journal
Jurnal Ekonomi Bisnis & Entrepreneurship
Published
2024-12-12
DOI
https://doi.org/10.55208/g028hy97
Primary Topic
Digital literacy in education
Type
article
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article

Digital Competence and Adaptability

Septy Holisa Umamy, Ira Puspitadewi S
Jurnal Ekonomi Bisnis & Entrepreneurship
Digital literacy in education
article

Digital Competence and Adaptability

Septy Holisa Umamy, Ira Puspitadewi S
article en

Abstract

This research aims to determine the influence of Digital Competence and Adaptive Capability on the Career Readiness of Students at the Faculty of Economics and Business. The population of this research was 372 students from the Faculty of Economics and Business with a sample size of 79 using the Slovin formula with purposive sampling technique. This research is quantitative descriptive. The data collection method in the research uses primary data, namely questionnaires via form and secondary data. The data analysis technique uses multiple linear regression analysis with SPSS software ver 25. Based on the findings, it shows that partially the Digital Competence variable and the Adaptive Capability variable have an effect on Career Readiness. And simultaneously the Digital Competence and Adaptive Capability variables on Career Readiness in students at the Faculty of Economics and Business. This linear regression model with independent variables (Digital Competence and Adaptive Capability), has proven to be very effective in explaining the dependent variable (Career Readiness) because it approaches the value of one (1). These findings provide an important contribution in designing more effective curriculum development strategies to improve student career readiness in the digital era.

Jurnal Ekonomi Bisnis & EntrepreneurshipVol. 18(2)
Universitas Muhammadiyah Jember (ID)
Openalex Percentile: Top 64%
Digital literacy in education
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