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All Journal Dinasti International Journal of Education Management and Social Science Assets Journal: Management, Administration, Economics, and Accounting
Dari Sofianti, Isti
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Economics, Econometrics & Finance Education

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Pengaruh Motivasi Kerja dan Pengembangan Karier terhadap Retensi Karyawan Gen Z melalui Komitmen Karyawan Dari Sofianti, Isti; Susanto, Ahmad
Assets Journal: Management, Administration, Economics, and Accounting Vol. 2 No. 2 (2024): Assets Journal
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/assets.v2i2.292

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh motivasi kerja, pengembangan karier, dan komitmen terhadap retensi karyawan di perusahaan. Berdasarkan hasil analisis, ditemukan bahwa motivasi kerja memiliki pengaruh signifikan terhadap komitmen karyawan, yang berarti semakin tinggi motivasi kerja, semakin tinggi pula komitmen mereka terhadap organisasi. Pengembangan karier juga terbukti berpengaruh signifikan terhadap komitmen karyawan, di mana kesempatan untuk berkembang dalam karier meningkatkan keterikatan emosional karyawan terhadap organisasi. Lebih lanjut, komitmen karyawan berpengaruh signifikan terhadap retensi, yang menunjukkan bahwa karyawan dengan komitmen yang tinggi lebih cenderung bertahan di perusahaan. Meskipun pengembangan karier tidak menunjukkan pengaruh signifikan terhadap retensi karyawan, motivasi kerja dan pengembangan karier bersama-sama mempengaruhi retensi karyawan melalui komitmen organisasi. Penelitian ini mendukung teori-teori motivasi dan komitmen, seperti teori dua faktor Herzberg, teori ekspektansi Vroom, serta teori pengembangan karier Greenhaus. Temuan ini memberikan wawasan penting bagi manajer sumber daya manusia untuk fokus pada peningkatan motivasi dan memberikan peluang pengembangan karier guna meningkatkan komitmen dan retensi karyawan.
Implementation of Artificial Intelligence (AI)-Based Recruitment Models in the Selection of Lecturers and Educational Staff at the Academy of Hospital Administration Mataram (AARS) Dari Sofianti, Isti; Firmansyah, Firmansyah
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (Decem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i2.5752

Abstract

The Academy of Hospital Administration Mataram (AARS) faces significant challenges in its recruitment process, which is often time-consuming and heavily reliant on the subjectivity of decision-makers, particularly during the initial screening and interview stages. A major difficulty lies in selecting candidates who align with academic and administrative needs in the absence of an integrated technological system. The implementation of Artificial Intelligence (AI) has the potential to enhance efficiency by conducting preliminary screenings, evaluating applicants’ suitability based on data, and recommending the most appropriate candidates. The aim of this study is to evaluate the potential implementation of AI-based recruitment models in the selection process of lecturers and educational staff at AARS, with a particular focus on examining AI’s role in reducing bias in recruitment. This research employed a qualitative evaluative method using a case study approach at AARS. Data were collected through participatory observation, in-depth interviews, documentation studies, and Focus Group Discussions (FGDs) to assess the effectiveness of AI in the recruitment process. Data analysis was carried out through data reduction, data display, source triangulation, and conclusion drawing. The findings reveal that AI-based recruitment at AARS significantly improves the effectiveness of the selection process for lecturers and educational staff. Furthermore, AI supports the enhancement of human resource quality because selected candidates are more aligned with organizational needs. Nevertheless, this study also identified several challenges, including infrastructure readiness, digital literacy among stakeholders, as well as regulatory and ethical considerations.
Co-Authors Firmansyah Firmansyah Susanto, Ahmad