Development of employee payroll system in construction company using extreme programming method

Authors

  • Denny Jean Cross Sihombing Atma Jaya Catholic University of Indonesia

Keywords:

Payroll System, Construction Company, Extreme Programming

Abstract

The management of employee payroll systems in construction companies is often faced with complex challenges, including the need for response speed, salary calculation accuracy, and user acceptance. A responsive and adaptive system can help operational efficiency and employee satisfaction. This research applies the Extreme Programming (XP) method in developing an employee payroll system, focusing on functionality testing, user evaluation, and stakeholder validation. The XP method was chosen because it can provide adaptive and responsive solutions to changing business needs. The user acceptance analysis and feature testing results showed the system's success, with the accuracy of salary calculation reaching 88 % and the user interface rated intuitive by users. Performance evaluation also showed an average system response speed of less than 2 seconds, indicating optimal responsiveness. Validation with stakeholders confirmed that the system met company policies and management expectations. The application of the XP method in developing an employee payroll system in a construction company positively impacted operational efficiency and user satisfaction. The conclusions of this study underline the successful implementation of the system and highlight the potential for further development to maintain the responsiveness and quality of the system over time.

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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

Aliev, I., Gazul, S., & Bobova, A. (2020). The Analysis Of Changes In The Payroll Of Information System Support Specialists During The Devops Methodology Implementing. IOP Conference Series: Materials Science And Engineering, 862(4). Https://Doi.Org/10.1088/1757-899X/862/4/042039

Al-Saqqa, S., Sawalha, S., & Abdelnabi, H. (2020). Agile Software Development: Methodologies And Trends. International Journal Of Interactive Mobile Technologies, 14(11). Https://Doi.Org/10.3991/Ijim.V14i11.13269

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

Batliner, M., Boës, S., Heck, J., & Meboldt, M. (2022). Linking Testing Activities With Success In Agile Development Of Physical Products. Procedia CIRP, 109, 146–154. Https://Doi.Org/10.1016/J.Procir.2022.05.228

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

Celik, Y., Petri, I., & Rezgui, Y. (2023). Integrating BIM And Blockchain Across Construction Lifecycle And Supply Chains. Computers In Industry, 148. Https://Doi.Org/10.1016/J.Compind.2023.103886

Chen, H. C. (2019). Introduction To The Special Issue Of “Business Finance And Enterprise Management.” Asia Pacific Management Review, 24(1), 60. Https://Doi.Org/10.1016/J.Apmrv.2019.02.002

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

Dingsoeyr, T., Falessi, D., & Power, K. (2019). Agile Development At Scale: The Next Frontier. In IEEE Software (Vol. 36, Issue 2, Pp. 30–38). IEEE Computer Society. Https://Doi.Org/10.1109/MS.2018.2884884

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

Fredriksson, A., & Huge-Brodin, M. (2022). Green Construction Logistics – A Multi-Actor Challenge. Research In Transportation Business And Management, 45(PA), 100830. Https://Doi.Org/10.1016/J.Rtbm.2022.100830

Gao, J. (2022). Research On Financial Informatization Construction Of Business And Finance Integration. International Journal Of Science And Research (IJSR), 11(7), 354–358. Https://Doi.Org/10.21275/Sr22704192347

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

Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile Payment With Alipay: An Application Of Extended Technology Acceptance Model. IEEE Access, 7, 50380–50387. Https://Doi.Org/10.1109/ACCESS.2019.2902905

Martin, A. (2023). Introduction To An Agile Framework For The Management Of Technology Transfer Projects. Procedia Computer Science, 219, 1963–1968. Https://Doi.Org/10.1016/J.Procs.2023.01.496

Persson, J. S., Bruun, A., Lárusdóttir, M. K., & Nielsen, P. A. (2022). Agile Software Development And UX Design: A Case Study Of Integration By Mutual Adjustment. Information And Software Technology, 152. Https://Doi.Org/10.1016/J.Infsof.2022.107059

Pham, T. T., Lingard, H., & Zhang, R. P. (2023). Factors Influencing Construction Workers’ Intention To Transfer Occupational Health And Safety Training. Safety Science, 167. Https://Doi.Org/10.1016/J.Ssci.2023.106288

Sambodo, N. P., Bonfrer, I., Sparrow, R., Pradhan, M., & Van Doorslaer, E. (2023). Effects Of Performance-Based Capitation Payment On The Use Of Public Primary Health Care Services In Indonesia. Social Science And Medicine, 327. Https://Doi.Org/10.1016/J.Socscimed.2023.115921

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. (2023). Development Of Construction Project Cost Budget Application Using Rapid Application Development Method. In Jurnal Mantik (Vol. 7, Issue 3). Online.

Tessema, A. T., Alene, G. A., & Wolelaw, N. M. (2022). Assessment Of Risk Factors On Construction Projects In Gondar City, Ethiopia. Heliyon, 8(11), E11726. Https://Doi.Org/10.1016/J.Heliyon.2022.E11726

Wang, H., Xiang, X., & Han, L. (2023). Financial Development, Legal Systems And SME Finance: Cross-Country Evidence. International Review Of Economics And Finance, 88(April), 981–1002. Https://Doi.Org/10.1016/J.Iref.2023.07.021

Wang, X., & Wang, X. (2022). Digital Financial Inclusion And Household Risk Sharing: Evidence From China’s Digital Finance Revolution. China Economic Quarterly International, 2(4), 334–348. Https://Doi.Org/10.1016/J.Ceqi.2022.11.006

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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Published

2024-01-27

How to Cite

Sihombing, D. J. C. (2024). Development of employee payroll system in construction company using extreme programming method. Jurnal Info Sains : Informatika Dan Sains, 14(01), 360–371. Retrieved from https://ejournal.seaninstitute.or.id/index.php/InfoSains/article/view/3773

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