Artificial Intelligence as a Basic and Centre for Integrated Digital Bureaucracy

Authors

Siti Hajar

DOI:

10.29303/jppipa.v9i10.4915

Published:

2023-10-25

Issue:

Vol. 9 No. 10 (2023): October

Keywords:

Artificial Intelligence, Digital Bureaucracy, Integrated

Review

Downloads

How to Cite

Hajar, S. . (2023). Artificial Intelligence as a Basic and Centre for Integrated Digital Bureaucracy. Jurnal Penelitian Pendidikan IPA, 9(10), 823–828. https://doi.org/10.29303/jppipa.v9i10.4915
Crossref
Scopus
Google Scholar
Europe PMC

Downloads

Metrics

PDF views
100
Oct 25 '23Oct 28 '23Oct 31 '23Nov 01 '23Nov 04 '23Nov 07 '23Nov 10 '23Nov 13 '23Nov 16 '23Nov 19 '23Nov 22 '235.0
|

Abstract

Digital technology, whose deepest spirit is artificial intelligence, seems to be man's last love. It was created to serve man so that his stutus glory is perfected by the results of his mind, and the mind is a gift from God of the universe that is complete. The purpose of this research is to describe the use of artificial intelligence technology to support the bureaucratic system in our country. This research is descriptive, with the methodological basis being qualitative research. The research method is a literature study, with the main sources being writings sourced from scientific journals, mass media publications and other relevant sources. The writings are elaborately narrated with the guidance of relevant theories. The results of the study found several factors in the implementation of this digital bureaucracy, namely (1) Availability of an integrated system, (2) Placement of human resources according to their fields and capabilities, (3) Sustainability of the program and (4) Periodic improvement of infrastructure (software and hardware) as needed.

References

Abdeldayem, M. M., & Aldulaimi, S. H. (2020). Trends and opportunities of artificial intelligence in human resource management: Aspirations for public sector in Bahrain. International Journal of Scientific and Technology Research, 9(1), 3867–3871. Retrieved from https://www.ijstr.org/final-print/jan2020/Trends-And-Opportunities-Of-Artificial-Intelligence-In-Human-Resource-Management-Aspirations-For-Public-Sector-In-Bahrain.pdf

Acikgoz, T., Alp, O. S., & Alkan, N. B. (2023). Dynamics of a Newly Established Agricultural Commodities Market: Financialization, Hedging and Portfolio Diversification in Turkey. Annals of Financial Economics, 18(03), 2350005. https://doi.org/10.1142/S2010495223500057

Batool, S., Gill, S. A., Javaid, S., & Khan, A. J. (2021). Good governance via E-Governance: moving towards digitalization for a digital economy. Review of Applied Management and Social Sciences, 4(4), 823–836. https://doi.org/10.47067/ramss.v4i4.186

Camero, A., & Alba, E. (2019). Smart City and information technology: A review. Cities, 93, 84–94. https://doi.org/10.1016/j.cities.2019.04.014

Chege, S. M., Wang, D., & Suntu, S. L. (2020). Impact of information technology innovation on firm performance in Kenya. Information Technology for Development, 26(2), 316–345. https://doi.org/10.1080/02681102.2019.1573717

Cloete, A. L. (2019). Unstoppable: A critical reflection on the socio-economic embeddedness of technology and the implications for the human agenda. HTS Teologiese Studies/Theological Studies, 75(2). Retrieved from https://www.ajol.info/index.php/hts/article/view/214554

Danzig, R. (2022). Machines, Bureaucracies, and Markets as Artificial Intelligences. Center for Security and Emerging Technology.

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data--evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Farmansyah, M. (2020). Information and communication technology in organizational performance of local government. Polish Journal of Management Studies, 22. https://doi.org/10.17512/pjms.2020.22.2.09

Gaozhao, D., Wright, J. E., & Gainey, M. K. (2023). Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service. Public Management Review, January 2023. https://doi.org/10.1080/14719037.2022.2160488

Haerofiatna, H., & Chaidir, J. (2023a). Electronic-based Governance System Risk Management in Serang District. International Journal of Business and Management Review, 11(5), 57–66. Retrieved from https://tudr.org/id/eprint/1852/

Haerofiatna, H., & Chaidir, J. (2023b). Regional Regulations: Implementation of Electronic-based Government System. European Journal of Business and Innovation Research, 11(3), 61–69. Retrieved from https://tudr.org/id/eprint/1843/

Hassani, H., Silva, E. S., Unger, S., TajMazinani, M., & Mac Feely, S. (2020). Artificial intelligence (AI) or intelligence augmentation (IA): what is the future? Ai, 1(2), 8. https://doi.org/10.3390/ai1020008

Hu, Z. (2020). Research on fintech methods based on artificial intelligence. Journal of Physics: Conference Series, 1684(1). https://doi.org/10.1088/1742-6596/1684/1/012034

Irawan, B., & Hidayat, M. N. (2021). E- Government : Konsep, Esensi dan Studi Kasus.

Karim, M. S., Nahar, S., & Demirbag, M. (2022). Resource-based perspective on ICT use and firm performance: A meta-analysis investigating the moderating role of cross-country ICT development status. Technological Forecasting and Social Change, 179, 121626. https://doi.org/10.1016/j.techfore.2022.121626

Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44(6), 101976. https://doi.org/10.1016/j.telpol.2020.101976

Li, F. (2020). The digital transformation of business models in the creative industries: A holistic framework and emerging trends. Technovation, 92, 102012. https://doi.org/10.1016/j.technovation.2017.12.004

Lohn, A. J., & Musser, M. (2022). AI and compute: How much longer can computing power drive artificial intelligence progress? Center for Securty and Emerging Technology. https://doi.org/10.51593/2021ca009

Makmur, S. (2023). Implementation of Archives Digitization Policy as a Form of Implementation of an Electronic-Based Government System. Journal of Social Research, 2(6), 1847–1852. https://doi.org/10.55324/josr.v2i6.921

Malodia, S., Dhir, A., Mishra, M., & Bhatti, Z. A. (2021). Future of e-Government: An integrated conceptual framework. Technological Forecasting and Social Change, 173, 121102. https://doi.org/10.1016/j.techfore.2021.121102

Putra, B. K., & Dhanuarta, C. B. (2021). Transformation of Public Services Through Electronic-Based Government System in Malang City. International Journal of Education, Information Technology, and Others, 4(3), 452–459. https://doi.org/10.5281/zenodo.5205295

Putra, R., Widyadhana, Y., Styaningsih, F. N., & Herviana, W. H. (2022). Analisis Perkembangan Transportasi Online di Indonesia di Era 4.0 dengan Metode Penelitian Deskriptif. Jurnal Teknologi Dan Sistem Informasi Bisnis, 4(1), 162–170. https://doi.org/10.47233/jteksis.v4i1.389

Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Penguin.

Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., Laughlin, P., Machtynger, J., & Machtynger, L. (2020). Artificial intelligence (AI) in strategic marketing decision-making: a research agenda. The Bottom Line, 33(2), 183–200. https://doi.org/10.1108/BL-03-2020-0022

Subandriyo, B. (2020). Pelayanan Publik Digital. Pusdiklat.Bps.go.id. Retrieved from https://pusdiklat.bps.go.id/diklat/bahan_diklat/BA_Pelayanan Publik Digital_Budi Soebandriyo, SST, M. Stat_2196.pdf

Sulistya, A. Q. W., Sulistiyo, B. B., Aditya, F., Aritonang, I. D., Simangunsong, S. A., Shihab, M. R., & Ranti, B. (2019). A case study of Indonesian government digital transformation: Improving public service quality through E-government implementation. 2019 5th International Conference on Science and Technology (ICST), 1, 1–6. https://doi.org/10.1109/ICST47872.2019.9166234

Sunandari, S., Maharani, A. S., Nartika, N., Yulianti, C., & Esasaputra, A. (2023). Perkembangan Era Digital terhadap Pentingnya Pendidikan Karakter Anak Sekolah Dasar. Journal on Education, 5(4), 12005–12009. https://doi.org/10.31004/joe.v5i4.2161

van Dinter, R., Tekinerdogan, B., & Catal, C. (2021). Automation of systematic literature reviews: A systematic literature review. Information and Software Technology, 136, 106589. https://doi.org/10.1016/j.infsof.2021.106589

Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971

Author Biography

Siti Hajar, State Administration Study Program, Universitas Jayabaya

License

Copyright (c) 2023 Siti Hajar

Creative Commons License

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

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).