(2) Hikmat Zakky Almubaroq
(3) Aris Sarjito
*corresponding author
AbstractKecerdasan buatan (Artificial Intelligence) diharapkan mampu untuk mentransformasi tatanan semua sektor tak terkecuali di bidang manajemen sumber daya manusia (SDM). Atas nama efisiensi, penggunaan AI dianggap dapat memainkan peran untuk meningkatkan otomatisasi secara cerdas yang memungkinkan para manajer untuk mengedepankan kemampuan manusia secara eksklusif namun menempatkan teknologi sebagai basisnya. Ide yang terkandung dalam kecerdasan buatan untuk efisiensi sumber daya manusia selaras dengan salah satu pokok pemikiran ilmu manajemen pertahanan, dimana manajemen pertahanan mengacu kepada pengelolaan sumber daya untuk melaksanakan kegiatan pertahanan negara yang dituntut harus melibatkan strategi yang kuat, alokasi sumber daya termasuk sumber daya manusia secara efektif demi terwujudnya kesiapan operasional yang mumpuni. Sebagai personil militer nasional, TNI sudah pasti mengharuskan untuk bisa menyerap talenta terbaik bangsa demi memperkokoh strategi pertahanan negara. Disinilah kecerdasan buatan dalam manajemen sumber daya manusia berperan. Penelitian ini menggunakan metode studi literatur dengan pendekatan deskriptif kualitatif sebagai pendekatan penulisan utama dan menggunakan data sekunder berdasarkan tinjauan yang dilakukan secara komprehensif terhadap jurnal, laporan serta arsip (data dokumenter). Artikel ini akan menjelaskan tentang masalah manajemen sumber daya manusia jenis apa saja yang bisa diselesaikan dengan melibatkan kecerdasan buatan serta terdapat ancaman apa yang terkandung didalamnya untuk bisa diwaspadai serta bagaimana solusi ini bisa memperkokoh sistem manajemen sumber daya manusia di dalam TNI. Artikel ini menemukan bahwa penggunaan kecerdasan buatan dalam manajemen sumber daya manusia dapat mengurangi beban departemen SDM sehingga mereka dapat memanfaatkan waktunya untuk pengambilan keputusan strategis lainnya atau memecahkan masalah penting dan juga AI berperan sebagai alat untuk mengidentifikasi, memprioritaskan, dan memilih inisiatif misi baru secara sistematis
KeywordsKecerdasan Buatan (Artificial Intelligence), Manajemen Sumber Daya Mansuia (SDM), Personil Militer
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DOIhttps://doi.org/10.31604/jips.v10i7.2023.3518-3526 |
Article metrics10.31604/jips.v10i7.2023.3518-3526 Abstract views : 0 | PDF views : 0 |
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References
Aini, A. N., Firdaus, M. F., Purwanto, D. A., & Abdillah, I. (2022). Indonesian StateDefense as an Effort to Counter the Cyber space Security Threat of Metaverse. International Journal of Arts and Social Science, 5(8), 17–24. www.ijassjournal.com
Ali Azadeh, Reza Yazdanparast, Saeed Abdolhossein Zadeh, A. K. (1994). An intelligent algorithm for optimizing emergency department job and patient satisfaction. International Journal of Health Care Quality Assurance, 7(4), 1–40. https://doi.org/10.1108/09526862199400001
Andresen, M., & Bergdolt, F. (2017). A systematic literature review on the definitions of global mindset and cultural intelligence–merging two different research streams. International Journal of Human Resource Management, 28(1), 170–195. https://doi.org/10.1080/09585192.2016.1243568
Besar, M., Angkatan, T. N. I., Staf, S., Komando, D. A. N., Tesis, P. P., Studi, P., Terapan, M., & Operasi, S. (2022). Markas besar tni angkatan udara sekolah staf dan komando. Analisis Konflik Armenia Vs Azerbaijan, 1, 1–81.
Bharadwaj, N., & Shipley, G. M. (2020). Salesperson communication effectiveness in a digital sales interaction 1. Industrial Marketing Management, 90(July), 106–112. https://doi.org/10.1016/j.indmarman.2020.07.002
Bititci, U., Cocca, P., & Ates, A. (2016). Impact of visual performance management systems on the performance management practices of organisations. International Journal of Production Research, 54(6), 1571–1593. https://doi.org/10.1080/00207543.2015.1005770
Budhwar, P., Malik, A., De Silva, M. T. T., & Thevisuthan, P. (2022). Artificial intelligence–challenges and opportunities for international HRM: a review and research agenda. International Journal of Human Resource Management, 33(6), 1065–1097. https://doi.org/10.1080/09585192.2022.2035161
Carli, G., Maria, D., & Benfatto, C. (n.d.). Libera Università degli Studi Sociali Human Resource Information Systems and the performance of the Human Resource Function.
Castellacci, F., & Viñas-Bardolet, C. (2019). Internet use and job satisfaction. Computers in Human Behavior, 90(November 2017), 141–152. https://doi.org/10.1016/j.chb.2018.09.001
Charlwood, A., & Guenole, N. (2022). Can HR adapt to the paradoxes of artificial intelligence? Human Resource Management Journal, 32(4), 729–742. https://doi.org/10.1111/1748-8583.12433
Connelly, C. E., Fieseler, C., Černe, M., Giessner, S. R., & Wong, S. I. (2021). Working in the digitized economy: HRM theory & practice. Human Resource Management Review, 31(1), 1–7. https://doi.org/10.1016/j.hrmr.2020.100762
Estados Unidos. Department of Defense. (2016). Law of War Manual. 1236.
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. Journal of Strategic Information Systems, 29(2), 101614. https://doi.org/10.1016/j.jsis.2020.101614
Hinge, P., Salunkhe, H., & Boralkar, M. (2023). Artificial Intelligence (AI) in Hrm (Human Resources Management): A Sentiment Analysis Approach. Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-136-4_47
Karatop, B., Kubat, C., & Uygun, Ö. (2015). Talent management in manufacturing system using fuzzy logic approach. Computers and Industrial Engineering, 86, 127–136. https://doi.org/10.1016/j.cie.2014.09.015
Kaur, M., & Gandolfi, F. (2023). Artificial Intelligence in Human Resource Management - Challenges and Future Research Recommendations Artificial Intelligence in Human Resource Management - Challenges and Future Research Recommendations. July. https://doi.org/10.24818/RMCI.2023.3.382
Malik, A., Budhwar, P., Patel, C., & Srikanth, N. R. (2022). May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE. International Journal of Human Resource Management, 33(6), 1148–1178. https://doi.org/10.1080/09585192.2020.1859582
Management Research Review ,. (2021).
Manoharan, T. R., Muralidharan, C., & Deshmukh, S. G. (2011). An integrated fuzzy multi-attribute decision-making model for employees’ performance appraisal. International Journal of Human Resource Management, 22(3), 722–745. https://doi.org/10.1080/09585192.2011.543763
Nguyen, T. M., & Malik, A. (2022). A Two-Wave Cross-Lagged Study on AI Service Quality: The Moderating Effects of the Job Level and Job Role. British Journal of Management, 33(3), 1221–1237. https://doi.org/10.1111/1467-8551.12540
Pessach, D., Singer, G., Avrahami, D., Chalutz Ben-Gal, H., Shmueli, E., & Ben-Gal, I. (2020). Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. Decision Support Systems, 134(March), 113290. https://doi.org/10.1016/j.dss.2020.113290
Pratama, F. F., & Mutia, D. (2020). Paradigma Kualitatif sebagai Landasan Berpikir Pendidikan Kewarganegaraan. Jurnal Kewarganegaraan, 17(1), 51. https://doi.org/10.24114/jk.v17i1.18701
Prentice, C., & Nguyen, M. (2020). Engaging and retaining customers with AI and employee service. Journal of Retailing and Consumer Services, 56(June), 102186. https://doi.org/10.1016/j.jretconser.2020.102186
Rahmatika, A. N. (2022). Strategi Pertahanan Negara Indonesia Dalam Menghadapi Ancaman Artificial Intelligence. Peperangan Asimetris (PA), 8(2), 69. https://doi.org/10.33172/pa.v8i2.1511
Saidi Mehrabad, M., & Fathian Brojeny, M. (2007). The development of an expert system for effective selection and appointment of the jobs applicants in human resource management. Computers and Industrial Engineering, 53(2), 306–312. https://doi.org/10.1016/j.cie.2007.06.023
Schulker, D., Lim, N., Matthews, L. J., Grimm, G. E., Lawrence, A., & Firoz, P. S. (2021). Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application. In Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application. https://doi.org/10.7249/rra812-1
Sulistyanto, Ferdion Firdaus, M. F., & Rehardiningtyas, D. A. (2022). Kompetensi Kepemimpinan Militer Di Era Society 5.0. Jurnal Kewarganegaraan, 19(2), 126–138. https://doi.org/10.24114/jk.v19i2.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and A path forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910
Torres, E. N., & Mejia, C. (2017). Asynchronous video interviews in the hospitality industry: Considerations for virtual employee selection. International Journal of Hospitality Management, 61, 4–13. https://doi.org/10.1016/j.ijhm.2016.10.012
van Esch, P., Stewart Black, J., Franklin, D., & Harder, M. (2021). Al-enabled biometrics in recruiting: Insights from marketers for managers. Australasian Marketing Journal, 29(3), 225–234. https://doi.org/10.1016/j.ausmj.2020.04.003
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