Extreme Programming-Based Fitness Center Application For Customer Progress Tracking And Exercise Schedule Management

Denny Jean Cross Sihombing

Authors

Denny Jean Cross Sihombing Information System Study Program, Atma Jaya Catholic University of Indonesia

Keywords:

Progress Tracking, Schedule Management, Extreme Programming, Fitness Centers

Abstract

This study investigates the implementation of Extreme Programming (XP) in developing a Fitness Center application to track customer pro-gress and manage exercise schedules. The research includes system requirements analysis, architectural design, implementation of key fea-tures, and application testing and evaluation. The XP methodology facilitates iterative, collaborative, and adaptive development, resulting in an application responsive to customer needs. The research findings indicate that the application successfully records customer health pro-gress, flexibly manages exercise schedules, and provides reminder no-tifications. Testing and evaluation demonstrate that the application operates well, is integrated comprehensively, and performs satisfacto-rily regarding responsiveness, speed, and resource efficiency. User feedback also contributes positively to evaluating user satisfaction with the application. Thus, the use of XP in developing the Fitness Center application has provided an effective and efficient solution for achieving goals related to tracking customer progress and managing exercise schedules in the context of fitness and health

Downloads

Download data is not yet available.

References

Akhtar, A., Bakhtawar, B., & Akhtar, S. (n.d.). EXTREME PROGRAMMING VS SCRUM: A COMPARISON OF AGILE MODELS. International Journal of Tech-nology, Innovation and Management (IJTIM), 2, 2022. https://doi.org/10.54489/ijtim.v2i1.77

Al-Saqqa, S., Sawalha, S., & Abdelnabi, H. (2020). Agile software development: Methodologies and trends. International Journal of Interactive Mobile Tech-nologies, 14(11). https://doi.org/10.3991/ijim.v14i11.13269

Bansal, N., Singh, D., & Kumar, M. (2023). Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm. Energy Reports, 9, 310–321. https://doi.org/10.1016/j.egyr.2023.04.003

Blocken, B., van Druenen, T., van Hooff, T., Verstappen, P. A., Marchal, T., & Marr, L. C. (2020). Can indoor sports centers be allowed to re-open during the COVID-19 pandemic based on a certificate of equivalence? Building and Envi-ronment, 180, 107022. https://doi.org/https://doi.org/10.1016/j.buildenv.2020.107022

Brandt, E. J., Tobb, K., Cambron, J. C., Ferdinand, K., Douglass, P., Nguyen, P. K., Vi-jayaraghavan, K., Islam, S., Thamman, R., Rahman, S., Pendyal, A., Sareen, N., Yong, C., Palaniappan, L., Ibebuogu, U., Tran, A., Bacong, A. M., Lundberg, G., & Watson, K. (2023). Assessing and Addressing Social Determinants of Car-diovascular Health: JACC State-of-the-Art Review. Journal of the American College of Cardiology, 81(14), 1368–1385. https://doi.org/https://doi.org/10.1016/j.jacc.2023.01.042

Cabitza, F., Locoro, A., & Batini, C. (2015). A User Study to Assess the Situated Social Value of Open Data in Healthcare. Procedia Computer Science, 64, 306–313. https://doi.org/https://doi.org/10.1016/j.procs.2015.08.494

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

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

Eberth, B., & Smith, M. D. (2010a). Modelling the participation decision and dura-tion of sporting activity in Scotland. Economic Modelling, 27(4), 822–834. https://doi.org/https://doi.org/10.1016/j.econmod.2009.10.003

Eberth, B., & Smith, M. D. (2010b). Modelling the participation decision and dura-tion of sporting activity in Scotland. Economic Modelling, 27(4), 822–834. https://doi.org/https://doi.org/10.1016/j.econmod.2009.10.003

Fojtik, R. (2011a). Extreme programming in development of specific software. Pro-cedia Computer Science, 3, 1464–1468. https://doi.org/10.1016/j.procs.2011.01.032

Fojtik, R. (2011b). Extreme programming in development of specific software. Pro-cedia Computer Science, 3, 1464–1468. https://doi.org/10.1016/j.procs.2011.01.032

Fu, F. H., Guo, L., & Zang, Y. (2012). An overview of health fitness studies of Hong Kong residents from 2005 to 2011. Journal of Exercise Science & Fitness, 10(2), 45–63. https://doi.org/https://doi.org/10.1016/j.jesf.2012.10.001

Kaur, J., Singh, O., Anand, A., & Agarwal, M. (2023). A goal programming approach for agile-based software development resource allocation. Decision Analytics Journal, 6. https://doi.org/10.1016/j.dajour.2022.100146

Leong, J., May Yee, K., Baitsegi, O., Palanisamy, L., & Ramasamy, R. K. (2023). Hy-brid Project Management between Traditional Software Development Lifecy-cle and Agile Based Product Development for Future Sustainability. Sustainability, 15(2), 1121. https://doi.org/10.3390/su15021121

Perdigones, B., Ramírez, P., & Mazuelos, A. (2024). Adaptation of an iron oxidising culture to extremely high Fe concentration by a programmed fed-batch biore-actor. Minerals Engineering, 206. https://doi.org/10.1016/j.mineng.2023.108531

Sarhadi, P., Naeem, W., Fraser, K., & Wilson, D. (2022). On the Application of Ag-ile Project Management Techniques, V-Model and Recent Software Tools in Postgraduate Theses Supervision. IFAC-PapersOnLine, 55(17), 109–114. https://doi.org/10.1016/j.ifacol.2022.09.233

Senabre Hidalgo, E. (n.d.). Adapting the scrum framework for agile project man-agement in science: case study of a distributed research initiative. https://doi.org/10.1016/j.heliyon.2019

Serrador, P., & Pinto, J. K. (2015). Does Agile work? - A quantitative analysis of ag-ile project success. International Journal of Project Management, 33(5). https://doi.org/10.1016/j.ijproman.2015.01.006

Shrivastava, S. V., & Rathod, U. (2014). Risks in Distributed Agile Development: A Review. Procedia - Social and Behavioral Sciences, 133, 417–424. https://doi.org/10.1016/j.sbspro.2014.04.208

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.

Wood, S., Michaelides, G., & Thomson, C. (2013). Successful extreme program-ming: Fidelity to the methodology or good teamworking? Information and Software Technology, 55(4), 660–672. https://doi.org/10.1016/j.infsof.2012.10.002