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All Journal Journal La Bisecoman Innovative: Journal Of Social Science Research
Utami, Radhityana Luktri
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Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Other

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The Role of Artificial Intelligence in Human Resource Management: Enhancing Employee Age Verification for Legal Compliance and Workforce Optimization Utami, Radhityana Luktri
Journal La Bisecoman Vol. 6 No. 1 (2025): Journal La Bisecoman
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallabisecoman.v6i1.1921

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool in Human Resource Management (HRM), particularly in employee age verification for legal compliance and workforce planning. Verifying employee age is crucial in ensuring adherence to labor regulations that prohibit child labor and enforce age-related employment restrictions, especially in high-risk industries such as construction and manufacturing. This study explores how AI-based dental radiographic analysis can be integrated into HRM to provide a more objective, accurate, and fraud-resistant alternative to conventional identity verification methods. The research examines various AI techniques, including deep learning models such as ResNet, VGG16, and EfficientNet, and machine learning approaches like Random Forest and Support Vector Machines, which enhance classification accuracy in age estimation. While AI has demonstrated high efficiency in forensic and medical applications, its adaptation to HRM requires addressing critical challenges, including data privacy concerns, regulatory acceptance, and cost-effectiveness. Additionally, integrating AI into HRM demands a framework that aligns with labor laws and ethical considerations to ensure compliance and minimize potential biases in AI-based decision-making. This study suggests that AI-driven age verification can improve recruitment accuracy, support legal workforce management, and reduce risks associated with underage employment. Future research should focus on the economic feasibility of AI implementation in HRM, sector-specific case studies, and regulatory frameworks that facilitate AI adoption in labor compliance.
Penggunaan Artificial Intelligence untuk Estimasi Usia Melalui Analisis Radiografi Panoramik Utami, Radhityana Luktri
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.12053

Abstract

Salah satu hal penting dalam odontologi forensik adalah estimasi usia. Analisis estimasi usia menggunakan radiografi panoramik adalah metode yang paling sering digunakan karena tidak invasif, namun analisis secara manual dianggap cukup rumit dan cukup menghabiskan banyak waktu sehingga dibutuhkan bantuan teknologi AI untuk mempercepat dan mempermudah proses analisis. Tujuan dari review ini adalah untuk menyampaikan penerapan AI pada estimasi usia melalui analisis RP yang digunakan pada penelitian tahun 2020-2023. Lima dari 9 jurnal yang memenuhi kriteria inklusi menggunakan aplikasi CNN, 1 jurnal menggunakan aplikasi ENN, 2 jurnal menggunakan aplikasi hibrida CNN dan KNN dan 1 jurnal menggunakan aplikasi transfer learning. Aplikasi AI CNN yang paling sering digunakan dan terbukti efektif dan akurat dalam membantu estimasi usia melalui analisis RP.
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