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All Journal Ekono Insentif Organum: Jurnal Saintifik Manajemen dan Akuntansi Dinasti International Journal of Management Science eCo-Buss Dinasti International Journal of Education Management and Social Science Jurnal E-Bis: Ekonomi Bisnis Dinasti International Journal of Digital Business Management Jurnal Ekonomi Efektif eCo-Fin Ruang Cendekia : Jurnal Pengabdian Kepada Masyarakat East Asian Journal of Multidisciplinary Research (EAJMR) Literacy : International Scientific Journals of Social, Education, Humanities RENATA Jurnal Pengabdian Masyarakat Kita Semua Ekasakti Pareso Jurnal Akuntansi Jurnal Humaniora, Ekonomi Syariah dan Muamalah Jurnal Siber Multi Disiplin Siber Journal of Advanced Multidisciplinary Jurnal Greenation Ilmu Akuntansi Jurnal Greenation Sosial dan Politik Greenation International Journal of Engineering Science Greenation International Journal of Law and Social Sciences Jurnal Komunikasi dan Ilmu Sosial International Journal of Psychology and Health Science
Febrian, Feby
Faculty Of Economics & Business, Universitas Winaya Mukti
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Social Sciences Other

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The Role of Algorithms in Improving the Accuracy of Intelligent Employee Selection in Human Resource Management at PT. Rasaki Logam Makmur Bandung Granit Agustina; Rudi Suprianto Ahmadi; Herni Suryani Apandi; Feby Febrian; Ahmad Zaelani Adnan
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 5 No. 1 (2026): April : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v5i1.3548

Abstract

This study aims to examine the efforts of algorithms to improve the accuracy of intelligent employee selection in Human Resource Management (HRM) at PT. Rasaki Logam Makmur Bandung. Using qualitative research methods, this study identified that algorithms can improve employee selection accuracy by analyzing broader data and discovering ways unknown to humans. High employee quality can improve employee and organizational performance. Good productivity satisfaction can increase work quality and reduce errors. Good employee performance can increase productivity satisfaction and reduce stress. Good selection accuracy can improve employee and organizational performance by selecting the most suitable employees for available positions. Intelligent employee selection can improve the quality of selected employees and reduce selection errors. The results show that the use of algorithms can improve employee quality, job satisfaction, and employee performance. This study also developed an algorithm-based intelligent employee selection model that can improve the effectiveness and efficiency of employee selection methods. The algorithm can be used as an intelligent employee selection engine by analyzing candidate data and predicting their suitability for available positions. This study adds impetus to the development of HRM theory and practice, and provides recommendations for companies to improve employee quality through the use of algorithms in the employee selection process. It can serve as a reference for companies and HRM practitioners to improve employee quality through the use of algorithms in the employee selection process. Therefore, companies need to pay attention to these factors in the employee selection process to improve employee quality and performance. By using an intelligent, algorithm-based employee selection model, companies can increase the effectiveness and efficiency of their employee selection process and select the most suitable candidates for available positions.
Co-Authors Abda Abda Ade Kosasih Afinintia, Lia Agus Mulyana Agus Mulyana Agus Mulyana Agus Mulyana, S Ahmad Zaelani Adnan Ahmadi, Rudi Suprianto Andre Bustari Apriyani Rahayu, Yani Asep Nurdin, Asep Astri Kusendang Ayu Lestari, Regita Boyke Setiawan Soeratin Christy Sitepu, Afrilya Deden Romansyah Eeng Ahman, Eeng Fithriani, Merry Fitrisna, Fitrisna Granit Agustina Herliani, Lina Herni Suryani Herni Suryani Apandi Holipudin, Apid Iskandar, Ajat Jusdijachlan, R Jusdijachlan, R. Komar Priatna, Deden Lasminingrat, Anne Merry Fithriani nalibratawati, rakhmia Nurhayati, Sri Endah Nurmin Arianto Nurul Hidayah F, Jajang Permana, Irman Permanar, Tatiek Ekawati Pramudyawati, Hani Rakhmia Nalibratawati Rakhmia Nalibratawati Ramadhan, Aji Ridwan, S. Riztrya Novedliani Safari Zen, Dicky Sarah, Meilani Setiadi Wibawa, Lutfi Sumina, Mina Sutisna, Adang Winna Roswinna Yoga Yuniadi Yulia Syafitri Yusuf LN, Syamsu Zaelani Adnan, Ahmad