Analisis Data Sumber Daya Manusia Dalam Isu-Isu Global
DOI:
https://doi.org/10.55927/ijba.v2i1.68Keywords:
analisis data, kecerdasan manusia, mesin, industry 4.0Abstract
Tujuan penelitan ini adalah untuk mengetahui perkembangan penggunaan aplikasi Analisa data pada bidang sumber daya manusia dan tantangan analisis data dalam isu-isu global yang penting pada era industri 4.0 dalam memenuhi kemustahilan mengganti kecerdasan manusia dengan mesin, dengan di dasarkan pada kemampuan mesin dan manusia mengelola data. Metode yang digunakan adalah kualitatif troubling method analisis. Hasilnya menemukan applikasi data Analisa pada era industri 4.0 pada seluruh aspek kecerdasan manusia dapat digantikan oleh robot dengan memori data yang sangat besar.
Downloads
References
Alaoui, ,. S., Aksasse, B., & Farhaoui, Y. (2020). Data Mining and Machine Learning Approaches and Technologies for Diagnosing Diabetes in Women. Dalam F. Yousef, Big Data and Networks Technologies (hal. 60 - 64). Cham, Switzerland: Springer Nature Switzerland AG.
Asprion, P., Schneider , B., & Frank G. (2018). ERP Systems Towards Digital Transformation. Dalam R. Dornberger, Business Information Systems and Technology 4.0 (hal. 18). Cham, Switzerland: Springer Nature.
Bettiol, M., Maria, E., & Mice, S. (2020). Industry 4.0 and Knowledge Management. Dalam M. Bettiol, E. Maria, & S. Micelli, Knowledge Management and Organizational Learning (hal. 4). Cham, Switzerland: Springer Nature Switzerland AG .
Burhansyah A, E. (2016). Kerjasama Kepolisian Negara Republik Indonesia (Polri)-Australian Federal Police (AFP) Sektor Capacity Building dalam Penanggulangan Tindak Pidana Cyber Crime di Indonesia Periode 2012-2014. Journal of International Relations, 34 - 46.
Demir, S., Paksoy, T., & Kochan, C. (2021). Logistics 4.0: SCM in Industry 4.0 Era (Changing Patterns of Logistics in Industry 4.0 and Role of Digital Transformation in SCM). Dalam T. Paksoy, Ç. Koçhan, & S. Ali, Logistics 4.0 Digital Transformation of Supply Chain Management (hal. 23). Boca Raton, FL : Taylor & Francis Group, LLC.
Gahi , Y., & El Alaoui, I. (2021). Machine Learning and Deep Learning Models for Big Data Issues. Dalam Y. Maleh , M. Shojafar, M. Alazab , & Y. Baddi, Machine Intelligence and Big Data Analytics for Cybersecurity Applications (hal. 29). Cham, Switzerland: Springer Nature Switzerland AG.
Ghavami, P. (2020). Big Data Analytics Methods. Boston/Berlin: Walter de Gruyter Inc.
Halim, C., & Prasetyo, H. (2018). Penerapan Artificial Intelligence Dalam Computer Aided Instructure(CAI). Jurnal Sistem Cerdas, 48 - 49.
Hua, L., Wang, J., & Hu, X. (2021). Research on Real-Time Compression and Transmission Method of Motion Video Data Under Internet of
Things. Dalam M. Atiquzzaman, N. Neil Yen, & Z. Xu, Big Data Analytics for Cyber-Physical System in Smart City (hal. 17). Gateway East, Singapore: Springer Nature Singapore Pte Ltd.
King, K., & Vaiman, V. (2019). Macro Talent Management. Dalam D. Collings, H. Scullion, & P. Caligiuri, Global Talent Management (hal. 17). New York, NY: Routledge.
Lozny, L., & McGovern, T. (2019). Global Perspectives on Long Term Community Resource Management. Cham, Switzerland: Springer Nature Switzerland AG.
Marchington, M., & Wilkinson, A. (2021). Human Resource Management at Work. New York, NY: Kogan Page Limited.
Marr, B. (2017). Data Strategy. Croydon CR0: CPI Group (UK) Ltd.
Mondy, R., & Martocchio, J. (2016). Human Resource Manajement. England: Pearson Education Limited.
Nankervis, A., Baird, M., Coffey, J., & Shields, J. (2020). Human Resource Management: Strategy and Practice. Sydney NSW: Cengage Learning Australia Pty Limited.
Nijjer , S., & Raj, S. (2021). PREDICTIVE ANALYTICS IN HUMAN RESOURCE MANAGEMENT. Milton Park, Abingdon, Oxon: Routledge.
Universitas Gajah Mada. (2021). Produk Inovasi Riset Konsorsium: GeNose C-19. Rapat Dengar Pendapat Umum dengan Komisi IX DPR RI (hal. 5). Jakarta: Komisi IX DPR RI.
Webb, J. (2020). Hiring for Fit A Key Leadership Skill. New York, NY: Business Expert Press, LLC.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Abdul Wahab Samad

This work is licensed under a Creative Commons Attribution 4.0 International License.







































