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All Journal Journal Economic Management and Business Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA)
Riska Dwi Ananda
Universitas Muslim Nusantara Al-Washliyah
Economics, Econometrics & Finance Other

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MANAJEMEN TALENTA BERBASIS AI (ARTIFICIAL INTELLIGENCE) DALAM MENINGKATKAN KOMPETENSI SUMBER DAYA MANUSIA (SDM) PADA BANK WAKAF MIKRO MAWARIDRUSSALAM KECAMATAN BATANG KUIS Suhaila Husna Samosir; Mutawaqil Bilah Tumanggor; Muhammad Radian Syah; Riska Dwi Ananda; Maulida Syahputri
Journal Economic Management and Business Vol 5, No 1 (2026)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/jfeb.v5i1.8806

Abstract

Artificial Intelligence (AI) has become one of the most influential technological innovations in the digital era, significantly transforming various sectors, including human resource management. AI technology enables organizations to analyze data rapidly, identify patterns, and support automated decision-making processes, thereby improving employee competency development and talent management effectiveness. The implementation of AI in talent management allows Human Resources (HR) departments to identify employee potential more accurately and design personalized development programs. However, despite its benefits, AI adoption also presents challenges such as algorithmic bias and data privacy issues that may affect employee trust and the credibility of HR management. This research aims to analyze employee competency development in relation to talent management through the application of AI technology. The study applies a literature review approach, followed by interviews, Focus Group Discussions (FGD), and questionnaire development to identify research gaps and gain deeper insights. The expected outputs include scientific publications in accredited national journals and an ISBN-registered book, while the planned Technology Readiness Level (TRL) is at Level 1, focusing on the fundamental understanding of AI technology in talent management.
THE INFLUENCE OF THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGY AND COMPENSATION FOR EMPLOYEE PERFORMANCE MINISTRY OF RELIGIOUS AFFAIRS DISTRICT OFFICE SERDANG BEDAGAI Riska Dwi Ananda; Suhaila Husna Samosir; Yayuk Yuliana; Muhammad Rahmat
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 5 No. 2 (2026): October (ON-PROGRESS)
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The purpose of this study is to determine and analyze the effect of the use of information technology, communication, and compensation on employee performance at the Office of the Ministry of Religious Affairs of Serdang Bedagai Regency. The type of research used is quantitative research. The population in this study were all employees of the Office of the Ministry of Religious Affairs of Serdang Bedagai Regency, totaling 64 people. Because the population is less than 100 people, the sampling technique used saturated sampling so that the entire population was used as a research sample. Data collection techniques were carried out through observation, interviews, documentation studies, and questionnaires with a Likert scale. Data analysis techniques used validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, t-tests (partial), F-tests (simultaneous), and coefficients of determination with the help of the SPSS program . The results of the study indicate that the use of information technology, communication, and compensation partially each have a positive and significant effect on employee performance, as evidenced by the calculated t-value of each being greater than the t-table and a significance level of 0.000 <0.05. In addition, simultaneously all independent variables have a positive and significant effect on employee performance with an F-count value greater than the F-table and a significance value of 0.000 < 0.05. The Adjusted R Square value of 0.775 indicates that 77.5% of employee performance variation can be explained by the independent variables in this study, while 22.5% is influenced by other variables outside the study.
Co-Authors Maulida Syahputri Muhammad Radian syah Mutawaqil Bilah Tumanggor Suhaila Husna Samosir Yuliana, Yayuk