Public Service Information System at the Department of Public Works Development and Spatial Planning

Authors

  • Bintang Naipospos Universitas Indo Global Mandiri
  • Evi Universitas Indo Global Mandiri

Keywords:

Road infrastructure management, Efficient public services, Object-Oriented Analysis and Design

Abstract

The Public Service Information System at the Department of Public Works Development and Spatial Planning in South Sumatra Province is a pivotal solution for managing road infrastructure. Roads are crucial for regional development and economic progress. This system, utilizing the prototype model, Object-Oriented Analysis and Design (OOAD), and Unified Modeling Language (UML) tools, facilitates effective monitoring, reporting, and resolution of road damage. The methodology involves iterative prototyping, ensuring a clearer understanding of requirements and reducing risks. The system design includes various UML diagrams, depicting system functionalities, actors, and interactions, while its architecture outlines a streamlined flow of information. Initial testing validated the system's effectiveness, showcasing its ability to handle functions and interfaces proficiently. Overall, this system significantly contributes to efficient road infrastructure management, meeting community needs, and government responsibilities for effective public services. Acknowledgments are extended to the South Sumatra Public Works Department of Highways and Spatial Planning for their support.

Downloads

Download data is not yet available.

References

A. Sha et al., “Highway constructions on the Qinghai-Tibet Plateau: Challenge, research and practice,” J. Road Eng., vol. 2, no. 1, pp. 1–60, 2022, doi: 10.1016/j.jreng.2022.02.002.

T. Kinder, J. Stenvall, E. Koskimies, H. Webb, and S. Janenova, “Local public services and the ethical deployment of artificial intelligence,” Gov. Inf. Q., vol. 40, no. 4, p. 101865, 2023, doi: 10.1016/j.giq.2023.101865.

E. S. Pane and R. Sarno, “Capability Maturity Model Integration (CMMI) for Optimizing Object-Oriented Analysis and Design (OOAD),” Procedia Comput. Sci., vol. 72, no. Cmmi, pp. 40–48, 2015, doi: 10.1016/j.procs.2015.12.103.

M. Riesener et al., “A model for dependency-oriented prototyping in the agile development of complex technical systems,” Procedia CIRP, vol. 84, no. March, pp. 1023–1028, 2019, doi: 10.1016/j.procir.2019.04.196.

S. Hwan Kim, J. Jin, M. Sevinchan, and A. Davies, “How do automated reasoning features impact the usability of a clinical task management system? Development and usability testing of a prototype,” Int. J. Med. Inform., vol. 174, no. April, p. 105067, 2023, doi: 10.1016/j.ijmedinf.2023.105067.

G. Bergström et al., “Evaluating the layout quality of UML class diagrams using machine learning,” J. Syst. Softw., vol. 192, p. 111413, 2022, doi: 10.1016/j.jss.2022.111413.

H. Wu, “QMaxUSE: A new tool for verifying UML class diagrams and OCL invariants,” Sci. Comput. Program., vol. 228, p. 102955, 2023, doi: 10.1016/j.scico.2023.102955.

P. Danenas, T. Skersys, and R. Butleris, “Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams,” Data Knowl. Eng., vol. 128, no. February, p. 101822, 2020, doi: 10.1016/j.datak.2020.101822.

Meiliana, I. Septian, R. S. Alianto, Daniel, and F. L. Gaol, “Automated Test Case Generation from UML Activity Diagram and Sequence Diagram using Depth First Search Algorithm,” Procedia Comput. Sci., vol. 116, pp. 629–637, 2017, doi: 10.1016/j.procs.2017.10.029.

Z. Daw and R. Cleaveland, “Comparing model checkers for timed UML activity diagrams,” Sci. Comput. Program., vol. 111, no. P2, pp. 277–299, 2015, doi: 10.1016/j.scico.2015.05.008.

F. Chen, L. Zhang, X. Lian, and N. Niu, “Automatically recognizing the semantic elements from UML class diagram images,” J. Syst. Softw., vol. 193, p. 111431, 2022, doi: 10.1016/j.jss.2022.111431.

B. Zhu, F. Hou, T. Feng, T. Li, and C. Song, “An information model for highway operational risk management based on the IFC-Brick schema,” Int. J. Transp. Sci. Technol., vol. 12, no. 3, pp. 878–890, 2023, doi: 10.1016/j.ijtst.2022.12.004.

M. A. Mendoza-lugo, M. Nogal, and O. Morales-nápoles, “Estimating bridge criticality due to extreme traffic loads in highway networks,” Eng. Struct., vol. 300, no. October 2023, p. 117172, 2024, doi: 10.1016/j.engstruct.2023.117172.

Published

2023-01-31

How to Cite

Naipospos, B., & Evi. (2023). Public Service Information System at the Department of Public Works Development and Spatial Planning. Journal of Computer Science Application and Engineering (JOSAPEN), 1(1), 23–27. Retrieved from https://journal.lenterailmu.com/index.php/josapen/article/view/10

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.