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All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer EQIEN - JURNAL EKONOMI DAN BISNIS Jurnal Ilmiah Edunomika (JIE) Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Humanism: Journal of Community Empowerment (HJCE) Jurnal Pengabdian kepada Masyarakat Nusantara MANAJEMEN Jurnal Ilmiah Manajemen, Ekonomi dan Akuntansi Economic Reviews Journal Dinamika Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) JURNAL BISNIS ADMINISTRASI DAN MANAJEMEN Jurnal Publikasi Ilmu Komputer dan Multimedia JURNAL AKUNTANSI DAN BISNIS Jurnal Manajemen Informatika & Teknologi Jurnal Riset Manajemen dan Ekonomi Hikmayo: Jurnal Pengabdian Masyarakat Socius: Social Sciences Research Journal Journal of Management and Informatics Jurnal Ilmiah Sistem Informasi Akuntansi Pajak dan Kebijakan Ekonomi Digital Jurnal Ilmiah Ekonomi, Akuntansi dan Pajak Jurnal Ilmiah Akuntansi Inovasi Sosial: Jurnal Pengabdian Masyarakat
Sri Wahyuning
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Journal : Journal of Management and Informatics

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Leveraging Machine Learning for Talent Acquisition: Predicting High-Performance Candidates in Human Resource Management Wahyuning, Sri; Sudibyo, Sukemi Kamto
Journal of Management and Informatics Vol. 3 No. 1 (2024): April Season| JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v3i1.44

Abstract

This study explores the application of machine learning (ML) in human resource (HR) management to enhance the recruitment process by predicting high-performing candidates. The research addresses gaps in traditional recruitment methods, which are often time-consuming and susceptible to subjective bias. By employing a Random Forest algorithm, this study utilizes a dataset of 10,000 records, encompassing attributes such as education, work experience, psychometric assessments, and interview evaluations. Data were divided into 70% training and 30% testing sets to ensure robust model evaluation. The findings demonstrate that the Random Forest model achieved a prediction accuracy of 87%, outperforming traditional methods and other ML models like Logistic Regression. The model's ability to identify key attributes contributing to candidate performance underscores its potential for data-driven decision-making in HR management. However, challenges such as data bias, algorithmic transparency, and resistance to technological change were identified as barriers to implementation. This research contributes to the theoretical and practical understanding of ML in HR by offering a predictive model that balances accuracy with interpretability. Practical implications include strategies for integrating ML into existing HR systems, emphasizing the importance of explainable AI to foster trust among practitioners. The study concludes that ML-based recruitment can significantly improve efficiency, objectivity, and the quality of hiring decisions, paving the way for more innovative and strategic HR practices.
Co-Authors Ade Mubarok Agung Satrio Nugroho Agus Priyadi Agus Supriyanto AlBashori, Muhammad Faturohman Andriya Risdwiyanto Anwar, Andi Rozihan Arga adriansah ARY SUBIYANTORO Ayu Miranti Kusumaningrum Bambang Widjanarko Susilo Basuki Rahmat Masdi Siduppa Benny Cuaca Budiningrum, Endah Wening Cempaka Kumala Sari Chandrasa Soekardi Delinda Dalis Yuliani Dewi Retno Putri Dhevi Dadi Kusumaningtyas Edy Susanto Eka Satria Wibawa Eka Satria Wibawa, Eka Satria Elmareza Aizzani Elys Amalia ENI ENDARYATI Eni Endaryati Evita Dwi Damayanti Fadila, Nisa Faturochman, Ersha Febryantahanuji Febryantahanuji Fransiska Bhoko Galuh Aninditiyah Harsono Harsono Haryo Kusumo Hendri Rasminto Herlambang, Susatyo Hidayatul Khikmah Himawan Agung Nugroho Indah Sulistyowati, Indah Isma, Syahadah Ita Noviana Jarot Dian Susatyono Jikri Nurhafidh Mulki Kasih Purwantini Khuan, Hendri kumalasari subroto, vivi Kusumaningtyas, Dhevi Dadi Lestari, Ode Sarni Sri Luluk Priyanti Mochamad Ramdan, Andry Muhammad Fatkhurohman Albashori Mulyono Mulyono Mutia, Yunna mutiara hapsari, cinthia Mutiara Sukarno Nindi Anggi Wardan Nindi Anggi Wardani Nisrina, Safira Fegi Nugroho, Himawan Agung Nur Inayah Nur Rokhman Nur Romdhonah, Fitri Prafika, Janna Purnama Andri Murdapa Ratnaningrum Ratnaningrum Rezky Eko Prasetyo rinayati rinayati Rinayati Rinayati Risma Nurhapsari Rofik, Mochamad Sapitri, Mika Yulia Sari, Cempaka Kumala Selly Silviawati Setiyo Prihatmoko SHOLIHIN, MOH. Sindhu Rakasiwi Soedjarwo, Soedjarwo Subandi Subandi Sugeng Santoso Sugeng Santoso Sukarno, Mutiara Sukemi Kamto Sudibyo Sunarto, S Vivi Kumalasari, Vivi Wahyudiyono Wahyudiyono, Wahyudiyono Widyastuti Widyastuti Wini Angraeni Wiryanto, W Yuliantoharinugroho, Yuliantoharinugroho Zahra Dinul Khaq