Skip to main content

The Use of AI to Develop Smart Infrastructure in Indonesia

  • Conference paper
  • First Online:
Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13325))

Included in the following conference series:

  • 1284 Accesses

Abstract

This study aims to see how the government sector implements Artificial Intelligence (AI) to develop smart infrastructure in Indonesia. Artificial Intelligence is now widely used by various sectors, including the government sector. Applying the AI concept in government will greatly help the government because it can greatly support the running of a smart city, which will later realize one of the dimensions of the smart city itself, called smart society. This study used descriptive qualitative research methods. There are three main characteristics of this method: (1) exploring the existing problem; in this case, is the problem of parking lots in Jakarta (2) identifying potential problems; potential problems that arise this time regarding the security of user data from the Jakparkir application (3) identifying potential solutions. Once the problem and its causative factors have been identified, an overarching theory will be developed to solve the current problem. This study used secondary data collected from various sources, including articles, journals, and official government websites, such as transportation services for the Special Capital Region of Jakarta.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Pereira, A.G., Lima, T.M., Charruasantos, F.: Industry 4.0 and society 5.0: opportunities and threats. Int. J. Recent Technol. Eng. 8(5), 3305–3308 (2020). https://doi.org/10.35940/ijrte.d8764.018520

    Article  Google Scholar 

  2. Mohammed, Z.K.A., Ahmed, E.S.A.: Internet of things applications, challenges and related future technologies Zeinab. World Sci. News 67(2), 126–148 (2017)

    Google Scholar 

  3. Kasiwi, A.N., Nurmandi, A., Mutiarin, D., Azka, M.F.: Artificial data management in reaching conditional cash transfer of Program Keluarga Harapan (PKH) utilizing simple addictive weighting. IOP Conf. Ser. Earth Environ. Sci. 717(1), 12013 (2021). https://doi.org/10.1088/1755-1315/717/1/012013

    Article  Google Scholar 

  4. Grove, H., Clouse, M., Schaffner, L., Xu, T.: Monitoring ai progress for corporate governance. J. Gov. Regul. 9(1), 8–17 (2020). https://doi.org/10.22495/jgrv9i1art1

    Article  Google Scholar 

  5. Kerr, A., Barry, M., Kelleher, J.D.: Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data Soc. 7(1), 1–2 (2020). https://doi.org/10.1177/2053951720915939

    Article  Google Scholar 

  6. Pi, Y.: Machine learning in governments: benefits, challenges and future directions. eJ. eDemoc. OpenGov. 13(1), 203–219 (2021). https://doi.org/10.29379/jedem.v13i1.625

    Article  Google Scholar 

  7. Admin: Kecerdasan Artifisial Bantu Ungkit Perekonomian Nasional di Masa Depan. Kementerian Komunikasi dan Informatika Republik Indonesia

    Google Scholar 

  8. Yun, Y., Lee, M.: Smart city 4.0 from the perspective of open innovation. J. Open Innov. Technol. Mark. Complex. 5(4), 92 (2019). https://doi.org/10.3390/joitmc5040092

    Article  Google Scholar 

  9. Subandi, Y., Qodir, Z., Jubba, H., Nurmandi, A.: Artificial intelligence in election party of broker clientelism Joxzin (Jogjakarta Islamic Never Die). IOP Conf. Ser. Earth Environ. Sci. 717(1), 012040 (2021). https://doi.org/10.1088/1755-1315/717/1/012040

  10. Dewanti, M., Purnomo, E.P., Salsabila, L.: Analisa efektifitas bank sampah sebagai alternatif pengelolaan sampah dalam mencapai smart city di kabupaten kulon progo. Publisia J. Ilmu Adm. Publik. 5(1), 21–29 (2020). https://doi.org/10.26905/pjiap.v5i1.3828

  11. Lv, Z, Qiao, L., Kumar Singh, A., Wang, Q.: AI-empowered IoT security for smart cities. ACM Trans. Internet Technol. 21(4), 1–21 (2021). https://doi.org/10.1145/3406115

  12. Samih, H.: Smart cities and internet of things. J. Inf. Technol. Case Appl. Res. 21(1), 3–12 (2019). https://doi.org/10.1080/15228053.2019.1587572

    Article  Google Scholar 

  13. Kazazi Darani, S., Akbari Eslami, A., Jabbari, M., Asefi, H.: Parking lot site selection using a fuzzy AHP-TOPSIS framework in Tuyserkan, Iran. J. Urban Plan. Dev. 144(3), 04018022 (2018). https://doi.org/10.1061/(asce)up.1943-5444.0000456

  14. Ridwan, A., et al.: Evaluation of the strength of coconut shell aggregate concrete block for parking area. IOP Conf. Ser. Earth Environ. Sci. 277(1), 012002 (2019). https://doi.org/10.1088/1755-1315/277/1/012002

  15. Ajeng, C., Gim, T.H.T.: Analyzing on-street parking duration and demand in a Metropolitan city of a developing country: a case study of Yogyakarta city, Indonesia. Sustain. 10(3), 591 (2018). https://doi.org/10.3390/su10030591

  16. Maulana, M.F., Adhy, S., Bahtiar, N., Waspada, I.: Development of a smart parking system based on internet of things using object-oriented analysis and design method. J. Phys. Conf. Ser. 1524(1), 012111 (2020). https://doi.org/10.1088/1742-6596/1524/1/012111

  17. Prasetya, E.: Pemprov DKI Uji Coba Aplikasi JakParkir, Bisa Cek Lokasi dan Pesan Parkir. Merdeka (2021)

    Google Scholar 

  18. Amalia, Y.: Lewat Jakparkir, Tempat Parkir Bisa Dipesan Lebih Dahulu. Liputan6 (2021)

    Google Scholar 

  19. Ogie, R.I., Perez, P., Dignum, V.: Smart infrastructure: an emerging frontier for multidisciplinary research. Proc. Inst. Civ. Eng. Smart Infrastruct. Constr. 170(1), 8–16 (2017). https://doi.org/10.1680/jsmic.16.00002

  20. Press, G.: A very short history of artificial intelligence (AI). Forbes. 30, 6 (2016)

    Google Scholar 

  21. Truby, J., Brown, R., Dahdal, A.: Banking on AI: mandating a proactive approach to AI regulation in the financial sector. Law Financ. Mark. Rev. 14(2), 110–120 (2020). https://doi.org/10.1080/17521440.2020.1760454

    Article  Google Scholar 

  22. Hovy, E., Navigli, R., Ponzetto, S.P.: Collaboratively built semi-structured content and artificial intelligence: the story so far. Artif. Intell. 194, 2–27 (2013). https://doi.org/10.1016/j.artint.2012.10.002

    Article  MathSciNet  MATH  Google Scholar 

  23. Lewis, D., Moorkens, J.: A rights-based approach to trustworthy AI in social media. Soc. Media Soc. 6(3), 14 (2020). https://doi.org/10.1177/2056305120954672

  24. Larsson, S., Heintz, F.: Transparency in artificial intelligence. Internet Policy Rev. 9(2), 1–16 (2020). https://doi.org/10.14763/2020.2.1469

    Article  Google Scholar 

  25. Morrar, R., Arman, H., Mousa, S.: The fourth industrial revolution (Industry 4.0): a social innovation perspective. Technol. Innov. Manag. Rev. 7(11), 12 (2017). https://doi.org/10.22215/TIMREVIEW/1396

  26. “Here are 6 Important Technologies to Build a Smart City. Hardayaperkasa (2019)

    Google Scholar 

  27. Allam, Z., Newman, P.: Redefining the smart city: culture, metabolism and governance. Smart Cities 1(1), 4–25 (2018). https://doi.org/10.3390/smartcities1010002

    Article  Google Scholar 

  28. Meijer, A., Bolívar, M.P.R.: Governing the smart city: a review of the literature on smart urban governance. Int. Rev. Adm. Sci. 82(2), 392–408 (2016). https://doi.org/10.1177/0020852314564308

    Article  Google Scholar 

  29. Budiarti, N., Putra, Y.P., Nurmandi, A.: Digital signature implementation as a new smart governance model. Society 8(2), 628–639 (2020). https://doi.org/10.33019/society.v8i2.222

  30. Susanti, R., Soetomo, S, Buchori, I., Brotosunaryo, P.M.: Smart growth, smart city and density: in search of the appropriate indicator for residential density in Indonesia. Proc. Soc. Behav. Sci. 227, 194–201 (2016). https://doi.org/10.1016/j.sbspro.2016.06.062

  31. Kirimtat, A., Krejcar, O., Kertesz, A., Tasgetiren, M.F.: Future trends and current state of smart city concepts: a survey. IEEE Access 8, 86448–86467 (2020). https://doi.org/10.1109/ACCESS.2020.2992441

    Article  Google Scholar 

  32. Tanwar, S., Tyagi, S., Kumar, S.: The role of internet of things and smart grid for the development of a smart city. In: Hu, Y.-C., Tiwari, S., Mishra, K.K., Trivedi, M.C. (eds.) Intelligent Communication and Computational Technologies. LNNS, vol. 19, pp. 23–33. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-5523-2_3

    Chapter  Google Scholar 

  33. Torre, T., Braccini, A.M., Spinelli, R. (eds.): Empowering Organizations. LNISO, vol. 11. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-23784-8

    Book  Google Scholar 

  34. Silva, B.N., Khan, M., Han, K.: Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities. Sustain. Cities Soc. 38(January), 697–713 (2018). https://doi.org/10.1016/j.scs.2018.01.053

    Article  Google Scholar 

  35. Dameri, R.P.: Smart City Implementation: Creating Economic and Public Value in Innovative Urban Systems (2017)

    Google Scholar 

  36. Rathore, M.M., Paul, A., Ahmad, A., Jeon, G.: IoT-based big data: from smart city towards next generation super city planning. Int. J. Semant. Web Inf. Syst. 13(1), 28–47 (2017). https://doi.org/10.4018/IJSWIS.2017010103

    Article  Google Scholar 

  37. Ma, S., Zhang, H., Xing, X.: Scalability for smart infrastructure system in smart grid: a survey. Wirel. Pers. Commun. 99(1), 161–184 (2017). https://doi.org/10.1007/s11277-017-5045-y

    Article  Google Scholar 

  38. Chen, Y., Shen, L., Zhang, Y., Li, H., Ren, Y.: Sustainability based perspective on the utilization efficiency of urban infrastructure — a China study. Habitat Int. 93(174), 102050 (2019). https://doi.org/10.1016/j.habitatint.2019.102050

    Article  Google Scholar 

  39. Rahman, M.A., Rashid, M.M., Shamim Hossain, M., Hassanain, E, Alhamid, M.F., Guizani, M.: Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city. IEEE Access 7, 18611–18621 (2019). https://doi.org/10.1109/ACCESS.2019.2896065

  40. Sandra, C.F.K.: Kebijakan Strategi Parkir (Studi Kasus : Ibu Kota Metropolitan Jakarta). September, pp. 103–108 (2020)

    Google Scholar 

  41. Data Penerimaan Pajak Daerah. Bapenda Jakarta (2021)

    Google Scholar 

  42. Herawati, Y.: Potret Jakarta, Setengah Jam Mencari Tempat Parkir. Viva (2019). https://www.viva.co.id/otomotif/1123438-potret-jakarta-setengah-jam-mencari-tempat-parkir

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cindy Fabrizia Suling .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Suling, C.F., Nurmandi, A., Muallidin, I., Purnomo, E.P., Kurniawan, D. (2022). The Use of AI to Develop Smart Infrastructure in Indonesia. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities. HCII 2022. Lecture Notes in Computer Science, vol 13325. Springer, Cham. https://doi.org/10.1007/978-3-031-05463-1_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05463-1_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05462-4

  • Online ISBN: 978-3-031-05463-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics