Main Article Content
Abstract
The research aims to explain the use of Artificial Intelligence (AI) and Jakarta Smart City (JSC) technology, which was first implemented in Indonesia in 2014, starting in the Jakarta City Region (DKJ), followed by 100 cities, carried out to overcome the technology gap between regions. Use of AI and JSC by the government for public services, such as smart environment; people's economy; government; population mobility, and branding. Research methodology uses qualitative with a descriptive approach using observation instruments and direct interviews. The research period is three months (March to April 2024). Locations in seven JSC management units. The research population was in five JSC divisions, using a snowball pattern sample. The research results show that there has been an increase in the efficiency of public services using AI and JSC technology in transportation management; rubbish; city security defense; and improving the quality of resources. Traffic congestion research recommendations, DKJ must develop innovations for all integrated public transportation facilities, by expanding the Integrated Highway (MRT) and Light Rail Transit (LRT) networks. For flooding problems, DKJ must use early digital detection technology for flood monitoring. In the future, DKJ hopes to implement an integrated digital payment system between the Resident Card and: Taxpayer Identification Number (NPWP), digital lifetime extension of the Driving License (SIM), processing of annual Vehicle Registration Certificates (STNK), and Vehicle Tax Proof Bermptor (BPKB) five-yearly all two-wheeled vehicles online (digitally) without queuing at the location.
Keywords
Article Details
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
- Abdullah, A. (2020). Public relations in the era of artificial intelligence: peluang atau ancaman? Aristo, 8(2), 406. https://doi.org/10.24269/ars.v8i2.2629
- Almeida, C. S. de, Miccoli, L. S., Andhini, N. F., Aranha, S., Oliveira, L. C. de, Artigo, C. E., Em, A. A. R., Em, A. A. R., Bachman, L., Chick, K., Curtis, D., Peirce, B. N., Askey, Dale., Rubin, J., Egnatoff, Dr. W. J., Uhl Chamot, A., El‐Dinary, P. B., Scott, J.; Marshall, G., Prensky, M., … Santa, U. F. De. (2023). Tinjauan Hukum Peran Artificial Intelligence (AI) sebagai Pencegah Terjadinya Pelanggaran Kode Etik oleh Auditor Publik. Revista Brasileira de Linguística Aplicada, 5(1), 1689–1699.
- Andriyanti, E., Sudartinah, T., & Setiawan, B. (2023). Menulis buku ajar di tengah perkembangan artificial intelligence (ai). Humanika, 23(2), 167–174. https://doi.org/10.21831/hum.v23i2.66386
- Anschütz, C., Ebner, K., & Smolnik, S. (2024). Size does matter: A maturity model for the special needs of small and medium-sized smart cities. Cities, 150(March), 104998. https://doi.org/10.1016/j.cities.2024.104998
- Astuti, F. A. (2021). Pemanfaatan teknologi artificial intelligence untuk penguatan kesehatan dan pemulihan ekonomi nasional. Jurnal Sistem Cerdas, 4(1), 25–34. https://doi.org/10.37396/jsc.v4i1.124
- Chen, Z., Gan, W., Wu, J., Lin, H., & Chen, C. M. (2024). Metaverse for smart cities: A survey. Internet of Things and Cyber-Physical Systems, 4(December 2023), 203–216. https://doi.org/10.1016/j.iotcps.2023.12.002
- Dai, Y., Hasanefendic, S., & Bossink, B. (2024). A systematic literature review of the smart city transformation process: The role and interaction of stakeholders and technology. Sustainable Cities and Society, 101(December 2023), 105112. https://doi.org/10.1016/j.scs.2023.105112
- Darmawan, A. B. (2020). Kekuatan artificial intelligence tiongkok dan kekhawatiran masyarakat global: resensi buku. Indonesian Perspective, 5(2), 216–220. https://doi.org/10.14710/ip.v5i2.34135
- Dewi Rokhmah, Iken Nafikadini, E. I. (2009). Penelitian Kualitatif. In Journal Equilibrium: Vol. 5 No. 9 (Issue 127). Prenada Media Group.
- Giammanco, A., Bychkov, A., Schallenberg, S., Tsvetkov, T., Fukuoka, J., Pryalukhin, A., Mairinger, F., Seper, A., Hulla, W., Klein, S., Quaas, A., Büttner, R., & Tolkach, Y. (2024). Fast-Track Development and Multi-institutional Clinical Validation of an Artificial Intelligence Algorithm for Detection of Lymph Node Metastasis in Colorectal Cancer. Modern Pathology, 37(6), 100496. https://doi.org/10.1016/j.modpat.2024.100496
- Gignac, G. E., & Szodorai, E. T. (2024). Defining intelligence: Bridging the gap between human and artificial perspectives. Intelligence, 104(March), 101832. https://doi.org/10.1016/j.intell.2024.101832
- Guenduez, A. A., Mergel, I., Schedler, K., Fuchs, S., & Douillet, C. (2024). Institutional work in smart cities: Interviews with smart city managers. Urban Governance, 4(1), 80–90. https://doi.org/10.1016/j.ugj.2024.01.003
- Guo, X., Zhang, R., & Zhang, Y. (2024). Do companies influenced by smart cities pay more attention to green governance? Mechanism and optimal spatial correlation. Chinese Journal of Population Resources and Environment, 22(1), 48–57. https://doi.org/10.1016/j.cjpre.2024.03.005
- Hasan, Sazali. (2023). Peneliatian kualitatif. Syria Studies, 7(1), 37–72.
- Hashim, H. (2024). E-government impact on developing smart cities initiative in Saudi Arabia: Opportunities & challenges. Alexandria Engineering Journal, 96(February), 124–131. https://doi.org/10.1016/j.aej.2024.04.008
- Jakarta Government. (2021). Annual report jakarta smart city. In Jakarta Smart City: Beranda.
- Jaya, H., Sabran, D., Pd, M., Ma, M., Djawad, Y. A., Sc, M., Ilham, A., Ahmar, A. S., Si, S., & Sc, M. (2022). Kecerdasan buatan artificial intelligennce. In Journal of Chemical Information and Modeling (Vol. 53, Issue 9).
- Khamaj, A., Ali, A. M., Saminathan, R., & M, S. (2024). Human factors engineering simulated analysis in administrative, operational and maintenance loops of nuclear reactor control unit using artificial intelligence and machine learning techniques. Heliyon, 10(10), e30866. https://doi.org/10.1016/j.heliyon.2024.e30866
- Lee, Y., Tessier, L., Brar, K., Malone, S., Jin, D., McKechnie, T., Jung, J. J., Kroh, M., & Dang, J. T. (2024). Performance of artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in the American Society for Metabolic and Bariatric Surgery textbook of bariatric surgery questions. Surgery for Obesity and Related Diseases, 1–5. https://doi.org/10.1016/j.soard.2024.04.014
- Liang, J., Wang, F., Dang, C., & Qian, Y. (2022). An efficient rough feature selection algorithm with a multi-granulation view. International Journal of Approximate Reasoning, 53(6), 912–926. https://doi.org/10.1016/j.ijar.2012.02.004
- Lim, J., & Hwang, J. (2024). Exploring diverse interests of collaborators in smart cities: A topic analysis using LDA and BERT. Heliyon, 10(9), e30367. https://doi.org/10.1016/j.heliyon.2024.e30367
- Mandal, M., & Mukhopadhyay, A. (2020). An Improved Minimum Redundancy Maximum Relevance Approach for Feature Selection in Gene Expression Data. Procedia Technology, 10, 20–27. https://doi.org/10.1016/j.protcy.2013.12.332
- Muhammad Ghifary, Muhammad Aldo Aditiya Nugroho, Billy Barokah, Ayu Purwarianti, Cahyono Tri Birowo, Imam Machdi, Ford Lumban Gaol, I Ketut Eddy Purnama, Oskar Riandi, Tauhid Nur Azhar, Anis Herliyati Mahsunah, Agustan, Santoso, E. W. S., Alexander Ludi, Rizky Munggaran, Ahmad Gamal, Febry Pandu Wijaya, Sri Wahjuni, Didi Widjanarko, … Devin Hoesen. (2023). Prosiding use cases artificial intelligence indonesia: embracing collaboration for research and industrial innovation in artificial. Prosiding Use Cases Artificial Intelligence Indonesia: Embracing Collaboration for Research and Industrial Innovation in Artificial Intelligence. https://doi.org/10.55981/brin.668
- Mulianingsih, F., Anwar, K., Shintasiwi, F. A., & Rahma, A. J. (2020). Program Studi Tadris Ilmu Pengetahuan Sosial Institut Agama Islam Negeri Kudus Artificial Intellegence dengan Pembentukan Nilai dan Karakter di Bidang Pendidikan. Ijtimaiya : Journal of Social Science Teaching, 4(2), 148–154. https://doi.org/http://dx.doi.org/10.21043/ji.v4i2.8625
- Nuryanto, A. (2021). Tantangan administrasi publik di dunia artificial intelligence dan bot. Jejaring Administrasi Publik, 12(2), 139–147. https://doi.org/10.20473/jap.v12i2.30882
- Raspopov, D., & Belousov, P. (2020). Development of methods and algorithms for identification of a type of electric energy consumers using artificial intelligence and machine learning models for Smart Grid Systems. Procedia Computer Science, 169(2019), 597–605. https://doi.org/10.1016/j.procs.2020.02.204
- Roustaei, M., Niknam, T., Aghaei, J., Sheikh, M., Chabok, H., Kavousi-Fard, A., Vahidinasab, V., & Guerrero, J. M. (2024). Enhancing smart city operation management: Integrating energy systems with a subway synergism hub. Sustainable Cities and Society, 107(December 2023), 105446. https://doi.org/10.1016/j.scs.2024.105446
- Sandu, Suyoto. (2022). Dasar metodologi penelitian. In Syria Studies (Vol. 7, Issue 1).
- Sanjaya, A. (2022). Smart communication untuk smart city semarang. February. https://doi.org/10.13140/RG.2.2.20767.87207
- Setyasih, E. T. (2022). Transformasi Digital Pemerintah Daerah Di Era Society 5.0: Studi Kasus Di Provinsi Jawa Barat. PAPATUNG: Jurnal Ilmu Administrasi Publik, Pemerintahan Dan Politik, 5(3), 59–66. https://doi.org/10.54783/japp.v5i3.657
- Supriyadi, E. I., & Asih, D. B. (2021a). Implementasi Artificial Intelligence (Ai) Di Bidang Administrasi Publik Pada Era Revolusi Industri 4.0. Jurnal RASI, 2(2), 12–22. https://doi.org/10.52496/rasi.v2i2.62
- Supriyadi, E. I., & Asih, D. B. (2021b). Inovasi pembelajaran berbasis teknologi artificial intelligences (ai) pada sekolah kedinasan di era revolusi industri 4.0 dan society 5.o. Jurnal RASI, 2(2), 12–22. https://doi.org/10.52496/rasi.v2i2.62
- Wahyunengseh, R. D., Haryani, T. N., Susiloadi, P., & Fahmi, L. (2022). Masyarakat Digital dan Problematika Kesejahteraan: Analisis Isi Wacana. Spirit Publik: Jurnal Administrasi Publik, 17(2), 163. https://doi.org/10.20961/sp.v17i2.63520
- Zhu, J., Gianoli, A., Noori, N., de Jong, M., & Edelenbos, J. (2024). How different can smart cities be? A typology of smart cities in China. Cities, 149(December 2023), 104992. https://doi.org/10.1016/j.cities.2024.104992