Implementasi Artificial Intelligence dalam Proses Rekrutmen dan Seleksi : Studi Kasus pada PT Saripetejo Sukabumi

This research explores the implementation of Artificial Intelligence (AI) in recruitment and selection processes at PT Saripetejo Sukabumi. Utilizing a qualitative approach with a case study method, the study aims to analyze digital transformation in human resource management. The research focuses on identifying the AI system architecture, organizational implications, and implementation challenges. Data collection was conducted through in-depth interviews, participatory observation, and document analysis. Research findings reveal that the AI system comprises four key components: candidate filtering algorithms, machine learning-based competency analysis, automatic psychometric assessment, and intelligent virtual interview platform. AI implementation increases recruitment process efficiency by up to 60% with a candidate matching accuracy of 75%. The study uncovers that successful AI integration requires a holistic approach considering technological, ethical, and human resource development aspects. The findings provide theoretical and practical contributions to understanding digital transformation in contemporary recruitment practices

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Publication Details

Journal
Jurnal Indragiri Penelitian Multidisiplin
Published
2024-09-30
DOI
https://doi.org/10.58707/jipm.v4i3.1074
Citations
1
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.55
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article

Implementasi Artificial Intelligence dalam Proses Rekrutmen dan Seleksi : Studi Kasus pada PT Saripetejo Sukabumi

Okke Rosmaladewi, Didin Wahidin, Janaenah
1 citations
Jurnal Indragiri Penelitian Multidisiplin
Management and Optimization Techniques
0.55
article

Implementasi Artificial Intelligence dalam Proses Rekrutmen dan Seleksi : Studi Kasus pada PT Saripetejo Sukabumi

Okke Rosmaladewi, Didin Wahidin, Janaenah
article en
1 citations

Abstract

This research explores the implementation of Artificial Intelligence (AI) in recruitment and selection processes at PT Saripetejo Sukabumi. Utilizing a qualitative approach with a case study method, the study aims to analyze digital transformation in human resource management. The research focuses on identifying the AI system architecture, organizational implications, and implementation challenges. Data collection was conducted through in-depth interviews, participatory observation, and document analysis. Research findings reveal that the AI system comprises four key components: candidate filtering algorithms, machine learning-based competency analysis, automatic psychometric assessment, and intelligent virtual interview platform. AI implementation increases recruitment process efficiency by up to 60% with a candidate matching accuracy of 75%. The study uncovers that successful AI integration requires a holistic approach considering technological, ethical, and human resource development aspects. The findings provide theoretical and practical contributions to understanding digital transformation in contemporary recruitment practices

Jurnal Indragiri Penelitian MultidisiplinVol. 4(3)
Universitas Islam Nusantara (ID)
Openalex Percentile: Top 19%
Management and Optimization Techniques
0.55
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