Pemanfaatan Data Science dalam Meningkatkan Kualitas Pembinaan SDM Militer
Abstract
In today's digital era, data has become a very valuable asset in decision making in the military field. Where, data science can be used for various purposes, such as risk prediction and analysis, policy development, human resource development, operational efficiency improvement, and predicting someone's length of service in the military. However, effective implementation of data science also requires adequate data infrastructure, strict data security, and skilled and trained human resources in data science. The purpose of this study is to discuss the effect of using data science in developing the quality of human resources, where from this point of view data science is considered to be able to make a significant contribution in increasing the effectiveness and efficiency of military human resources development in Indonesia. This research method is a survey method with the aim of obtaining data on the use and benefits of data science in developing military human resources with a sample of 50 people. As for data processing using SPSS software analysis tools. Utilization of data science is the independent variable in this study, while the quality of military human resource development in Indonesia is the dependent variable, with the control variable being the level of education and experience of military human resources. The results of multiple linear regression tests show that the utilization of data science, education level, and experience of military human resources simultaneously has a significant effect on the quality of military human resource development in Indonesia.
Downloads
References
Ariyoko, H.B. and Syahtaria, I., Impact Design Analysis And The Effect Of Pandemic Covid-19 On Personnel Readiness In Maintaining Force Combat Abilities. In STTAL Postgraduate-International Conference (Vol. 4, No. 1), 2020, October.
Ariyoko, H.B., Putra, I.N. and Suharyo, O.S., Assessment of technology competitiveness abilities in Indonesian war ship in Asia. JOURNAL ASRO, 10(3), 2019, pp.58-65.
Cleveland, W. S. Data science: An action plan for expanding the technical areas of the field of statistics. International Statistical Review, 69(1), 21-26, 2001.
Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Hermawan, D., Idrus, A., & Masyhuri, M. (2019). Forecasting Military Personnel Retirement using Time Series Analysis. Proceedings of the 2nd International Conference on Informatics and Computing (ICIC), 87-92. doi: 10.1109/ICIC48433.2019.00021
Kerlinger, F. N., & Lee, H. B. (2000). Foundations of behavioral research. Wadsworth Publishing Company.
Kurniawan, A., & Sartika, D. A. (2020). The Use of Decision Tree Algorithm for Military Personnel Career Planning. Proceedings of the 2nd International Conference on Advanced Science and Technology (ICAST), 105-110. doi: 10.1109/ICAST50091.2020.9188412
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models (5th ed.). McGraw-Hill/Irwin.
Maftuhah, A., Mardiyah, N. H., & Kusumawati, R. (2018). Analysis of Early Detection of Febrile Illness Using the P-Plot Method. IOP Conference Series: Materials Science and Engineering, 336(1), 012031. https://doi.org/10.1088/1757-899x/336/1/012031
Nugroho, H. A., Wibowo, W., & Suhartono, S. (2019). Design of Health Monitoring System for Military Personnel Based on Wearable Devices. Proceedings of the 2nd International Conference on Informatics and Computing (ICIC), 67-72. doi: 10.1109/ICIC48433.2019.00017
Pratiwi, N. N., & Susanto, E. (2021). Prediction of Military Service Period using Decision Tree Algorithm. In 2021 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (pp. 173-177). IEEE.
Putra, I.N., Hakim, A., Pramono, S.H. and Tolle, H., 2017. Adopted COBIT-5 framework for system design of Indonesia navy IS/IT: An evaluation. International Journal of Applied Engineering Research, 12(17), pp.6420-6427.
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Alfabeta.
Sullivan, L. M. (2011). Essentials of biostatistics in public health. Jones & Bartlett Publishers.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT Press.
Copyright (c) 2023 Dhanang Ghofur Nugroho, Firman Johan, Mufidin Mufidin
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Please find the rights and licenses in EDUKASIA. By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
2. Author(s)' Warranties
The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
3. User/Public Rights
EDUKASIA's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, EDUKASIA permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and EDUKASIA on distributing works in the journal and other media of publications. Unless otherwise stated, the authors are public entities as soon as their articles got published.
4. Rights of Authors
Authors retain all their rights to the published works, such as (but not limited to) the following rights;
- Copyright and other proprietary rights relating to the article, such as patent rights,
- The right to use the substance of the article in own future works, including lectures and books,
- The right to reproduce the article for own purposes,
- The right to self-archive the article,
- The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (EDUKASIA: Jurnal Pendidikan dan Pembelajaran).
5. Co-Authorship
If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. EDUKASIA will not be held liable for anything that may arise due to the author(s) internal dispute. JOSI will only communicate with the corresponding author.
6. Royalties
Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that EDUKASIA entitles the author(s) to no royalties or other fees.
7. Miscellaneous
EDUKASIA will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. EDUKASIA's editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.
