Development of Membership Management Application for Fitness Center using Extreme Programming Methodology

Authors

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

Keywords:

Membership Management, Extreme Programming, Fitness Centers

Abstract

This study aims to develop a responsive and efficient membership management application for fitness centers using the Extreme Programming (XP) methodology. Challenges in managing memberships at fitness centers include complex registration processes, difficulty tracking payments, and inefficient member data management. The methods used include system requirements analysis involving stakeholders, application design and implementation using XP approaches such as short iterations and continuous testing, and testing and evaluation involving internal teams and fitness center members. The result is an application that integrates essential features such as membership management, class scheduling, payments, member progress reporting, communication, and equipment reservations. Alpha and beta testing and member performance and responsiveness evaluations indicate that this application meets user expectations and enhances operational efficiency at fitness centers. This research contributes to providing a technological solution that improves membership management processes at fitness centers with a responsive and effective approach aligned with XP principles in software development.

 

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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

Alami, A., Krancher, O., & Paasivaara, M. (2022). The journey to technical excellence in agile software development. Information and Software Technology, 150. https://doi.org/10.1016/j.infsof.2022.106959

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

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 Environment, 180, 107022. https://doi.org/https://doi.org/10.1016/j.buildenv.2020.107022

Bomström, H., Kelanti, M., Annanperä, E., Liukkunen, K., Kilamo, T., Sievi-Korte, O., & Systä, K. (2023). Information needs and presentation in agile software development. Information and Software Technology, 162. https://doi.org/10.1016/j.infsof.2023.107265

Brandt, E. J., Tobb, K., Cambron, J. C., Ferdinand, K., Douglass, P., Nguyen, P. K., Vijayaraghavan, 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 Cardiovascular 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

Cao, Z., Zhu, J., Tang, B., & Chen, T. (2023). System dynamics simulation of occupational health and safety management causal model based on NetLogo. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18752

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

Das, A. K., Islam, M. N., Billah, M. M., & Sarker, A. (2021). COVID-19 pandemic and healthcare solid waste management strategy – A mini-review. In Science of the Total Environment (Vol. 778). Elsevier B.V. https://doi.org/10.1016/j.scitotenv.2021.146220

Eberth, B., & Smith, M. D. (2010). Modelling the participation decision and duration 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. (2011). Extreme programming in development of specific software. Procedia 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

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

Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2022). An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100085. https://doi.org/https://doi.org/10.1016/j.tbench.2023.100085

Michalides, M., Bursac, N., Nicklas, S. J., Weiss, S., & Paetzold, K. (2023). Analyzing current Challenges on Scaled Agile Development of Physical Products. Procedia CIRP, 119, 1188–1197. https://doi.org/10.1016/j.procir.2023.02.188

Omitaomu, O. A., Klasky, H. B., Olama, M., Ozmen, O., Pullum, L., Malviya Thakur, A., Kuruganti, T., Scott, J. M., Laurio, A., Drews, F., Sauer, B. C., Ward, M., & Nebeker, J. R. (2021). A new methodological framework for hazard detection models in health information technology systems. Journal of Biomedical Informatics, 124. https://doi.org/10.1016/j.jbi.2021.103937

Roberts, S. C. M., Zaugg, C., & Martinez, N. (2022a). Health care provider decision-making around prenatal substance use reporting. Drug and Alcohol Dependence, 237, 109514. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2022.109514

Roberts, S. C. M., Zaugg, C., & Martinez, N. (2022b). Health care provider decision-making around prenatal substance use reporting. Drug and Alcohol Dependence, 237, 109514. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2022.109514

Samadbeik, M., Aslani, N., Maleki, M., & Garavand, A. (2023). Acceptance of mobile health in medical sciences students: Applying technology acceptance model. Informatics in Medicine Unlocked, 40. https://doi.org/10.1016/j.imu.2023.101290

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.

Wang, J., & Conwell, J. (2022). Higher education and health at midlife: Evaluating the role of college quality. SSM - Population Health, 19. https://doi.org/10.1016/j.ssmph.2022.101228

Wood, S., Michaelides, G., & Thomson, C. (2013). Successful extreme programming: 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

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Published

2024-05-06

How to Cite

Sihombing, D. J. C. (2024). Development of Membership Management Application for Fitness Center using Extreme Programming Methodology. Jurnal Ekonomi, 13(02), 736–744. Retrieved from https://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/4472

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