Development of Financial Management Applications in Construction Companies Using the Extreme Programming Method
DOI:
https://doi.org/10.32493/informatika.v8i3.34427Keywords:
Financial Management Application, Construction Finance, Extreme ProgrammingAbstract
This research aims to develop a financial management application for construction companies using the Extreme Programming (XP) Method. The construction industry often faces complexities in managing project finances, including cost tracking, cash control, and accurate financial reporting. The XP method was chosen as the primary approach due to its unique features, such as automated testing, close team collaboration, and flexibility in the face of change. The stages of application development, such as planning, design, coding, testing, integration, and launch, have been explained in detail. Continuous integration was used to ensure that any code changes were automatically tested and integrated into the main version of the application. The research results created a reliable and efficient financial management application that helps construction companies better manage projects, improve efficiency, and reduce financial risks. The main contribution of this research lies in applying the XP Method in developing a specialized financial application for the construction industry, providing a significant solution in addressing the complexity of financial management. In addition, this research provides valuable insights into the potential application of XP in various business contexts, making significant contributions to software developers and stakeholders in the construction industry.
References
Akhtar, A., Bakhtawar, B., & Akhtar, S. (n.d.). EXTREME PROGRAMMING VS SCRUM: A COMPARISON OF AGILE MODELS. International Journal of Technology, Innovation and Management (IJTIM), 2, 2022. https://doi.org/10.54489/ijtim.v2i1.77
Almashhadani, M., Almashhadani, H., & Almashhadani, H. A. (2023). The Impact of Education on Construction Management: A Comprehensive Review. International Journal of Business and Management Invention (IJBMI) ISSN, 12, 284–290. https://doi.org/10.35629/8028-1206284290
Alzahrani, J. I., & Emsley, M. W. (2013). The impact of contractors ’ attributes on construction project success : A post construction evaluation. JPMA, 31(2), 313–322. https://doi.org/10.1016/j.ijproman.2012.06.006
Aulawi, H., Nuraeni, F., Setiawan, R., Rianto, W. F., Surya Pratama, A., & Maulana, H. (2023). Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams. 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 517–522. https://doi.org/10.1109/ICCoSITE57641.2023.10127813
Awad, A., & Fayek, A. R. (2012). A decision support system for contractor prequalification for surety bonding. In Automation in Construction (Vol. 21, Issue 1, pp. 89–98). Elsevier B.V. https://doi.org/10.1016/j.autcon.2011.05.017
Beecham, S., Clear, T., Lal, R., & Noll, J. (2021). Do scaling agile frameworks address global software development risks? An empirical study. Journal of Systems and Software, 171. https://doi.org/10.1016/j.jss.2020.110823
Boateng, A., Ameyaw, C., & Mensah, S. (2022). Assessment of systematic risk management practices on building construction projects in Ghana. International Journal of Construction Management, 22(16), 3128–3136. https://doi.org/10.1080/15623599.2020.1842962
Cao, T. (2023). Research and implementation of budget management integration system based on data resource fusion. 6. https://doi.org/10.1117/12.2688654
Chen, J., Yu, T., Yin, L., Tang, J., & Wang, H. (2020). A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming. CSEE Journal of Power and Energy Systems, 6(3), 583–590. https://doi.org/10.17775/CSEEJPES.2019.00100
Choi, J., & Ha, M. (2022). Validation of project management information systems for industrial construction projects. Journal of Asian Architecture and Building Engineering, 21(5), 2046–2057. https://doi.org/10.1080/13467581.2021.1941999
Dingsøyr, T., Nerur, S., Balijepally, V., & Moe, N. B. (2012). A decade of agile methodologies: Towards explaining agile software development. In Journal of Systems and Software (Vol. 85, Issue 6). https://doi.org/10.1016/j.jss.2012.02.033
Divya Sankar, S., & Selvam, J. (2020). Risk Management in Construction Industry. International Research Journal of Engineering and Technology. www.irjet.net
Gutierrez, G., Garzas, J., De Lena, M. T. G., & Moguerza, J. M. (2019). Self-Managing: An Empirical Study of the Practice in Agile Teams. IEEE Software, 36(1), 23–27. https://doi.org/10.1109/MS.2018.2874324
Ingle, P. V., & Mahesh, G. (2022). Construction project performance areas for Indian construction projects. International Journal of Construction Management, 22(8), 1443–1454. https://doi.org/10.1080/15623599.2020.1721177
Khodabakhshian, A., & Re Cecconi, F. (2022). Data-Driven Process Mining Framework for Risk Management in Construction Projects. IOP Conference Series: Earth and Environmental Science, 1101(3). https://doi.org/10.1088/1755-1315/1101/3/032023
Pan, N. (2008). Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction, 17(8), 958–965. https://doi.org/10.1016/j.autcon.2008.03.005
Pérez-Piqueras, V., Bermejo, P., & Gámez, J. A. (2023). ProjectION: A computational intelligence-based tool for decision support in agile software development projects. https://doi.org/10.22541/au.167575146.62025490/v1
Sampaio, A. Z. (2021). Project management in office: BIM implementation. Procedia Computer Science, 196, 840–847. https://doi.org/10.1016/j.procs.2021.12.083
Santos, R., Cunha, F., Rique, T., Perkusich, M., Almeida, H., Perkusich, A., & Icaro Costa, ´. (n.d.). A Comparative Analysis of Agile Teamwork Quality Instruments in Agile Software Development: A Qualitative Approach. https://doi.org/10.18293/DMSVIVA2023-217
Serrador, P., & Pinto, J. K. (2015). Does Agile work? - A quantitative analysis of agile project success. International Journal of Project Management, 33(5). https://doi.org/10.1016/j.ijproman.2015.01.006
Sihombing, D. J. C. (2023). Analysis and development of the ProTrack application: construction timeline management using Extreme Programming Methodology. In Jurnal Mantik (Vol. 7, Issue 2). Online.
Wiechmann, D. M., Reichstein, C., Haerting, R. C., Bueechl, J., & Pressl, M. (2022). Agile management to secure competitiveness in times of digital transformation in medium-sized businesses. Procedia Computer Science, 207, 2353–2363. https://doi.org/10.1016/j.procs.2022.09.294
Xu, H., Chang, R., Pan, M., Li, H., Liu, S., Webber, R. J., Zuo, J., & Dong, N. (2022). Application of Artificial Neural Networks in Construction Management: A Scientometric Review. In Buildings (Vol. 12, Issue 7). MDPI. https://doi.org/10.3390/buildings12070952
Zhang, J., Cheng, J. C. P., Chen, W., & Chen, K. (2022). Digital Twins for Construction Sites: Concepts, LoD Definition, and Applications. Journal of Management in Engineering, 38(2). https://doi.org/10.1061/(asce)me.1943-5479.0000948
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