SmartGym: A Web-Based Fitness Program Management and Membership Tracking System for Vinathletics Fitness Gym

The increasing demand for efficient gym management has highlighted the need for digital solutions that improve administrative processes and enhance member experience. Traditional methods of managing memberships, workout programs, and fitness records are often time-consuming, prone to errors, and difficult to maintain. To address these challenges, this study developed SmartGym: A Web-Based Fitness Program Management and Membership Tracking System, a web-based application designed to simplify gym operations through digital automation.

The system enables gym administrators to manage member registration, membership records, workout programs, attendance, and fitness progress in a centralized platform. It also provides trainers with tools to create and monitor customized workout plans while allowing members to view their assigned programs and track their fitness progress. By integrating these features, the system reduces manual record-keeping, improves data accuracy, and enhances communication between gym staff and members.

Gym management, membership tracking, workout programs, attendance monitoring, fitness progress, manual record-keeping.

1. 2021 [Google Scholar] [Crossref]

2. Cabauatan, K. A. F., & Lopez, G. A. D. (n.d.). Effectiveness of mobile fitness applications and gym exercises in improving health-related fitness performance among college students. https://www.globusedujournal.in/wp-content/uploads/2021/11/GE-JD21-King-Abram-F.-Cabauatan.pdf [Google Scholar] [Crossref]

3. Mahesh Thapa (2021) developed Gym Management System. https://dspace.sxcjpr.edu.in/jspui/bitstream/123456789/836/1/Informatica2020_21.pdf#page=9 [Google Scholar] [Crossref]

5. 2023 [Google Scholar] [Crossref]

6. ● Author(s): Minseong Kim, Sae-Mi Lee [Google Scholar] [Crossref]

7. ● Year: 2023 [Google Scholar] [Crossref]

8. ● Link: Read Study [Google Scholar] [Crossref]

9. ● Summary: [Google Scholar] [Crossref]

10. Identified factors influencing satisfaction and dissatisfaction in fitness apps, emphasizing usability and system design. [Google Scholar] [Crossref]

11. ● Author(s): Kittiya Sae-lee et al. [Google Scholar] [Crossref]

12. ● Year: 2023 [Google Scholar] [Crossref]

13. ● Link: Read Study [Google Scholar] [Crossref]

14. ● Summary: [Google Scholar] [Crossref]

15. Focused on workout tracking through a mobile health app and its impact on weight reduction across different age groups. [Google Scholar] [Crossref]

16. ● Author(s): Chao Wang, Zhigang Wang [Google Scholar] [Crossref]

17. ● Year: 2023 [Google Scholar] [Crossref]

18. ● Link: Read Study [Google Scholar] [Crossref]

19. ● Summary: [Google Scholar] [Crossref]

20. Explored how user involvement and experience influence value creation in fitness apps, highlighting the importance of engagement features. [Google Scholar] [Crossref]

21. ● Author(s): Mastura Ramli, Suzana Yusof [Google Scholar] [Crossref]

22. ● Year: 2023 [Google Scholar] [Crossref]

23. ● Link: Read Study [Google Scholar] [Crossref]

24. ● Summary: [Google Scholar] [Crossref]

25. Developed a responsive web-based gym system that automates membership management, scheduling, and payments. Results showed improved efficiency in gym operations. [Google Scholar] [Crossref]

27. ● Author(s): Salvador Angosto, Jerónimo García-Fernández, Moisés Grimaldi-Puyana [Google Scholar] [Crossref]

28. ● Year: 2023 [Google Scholar] [Crossref]

29. ● Link: Read Study [Google Scholar] [Crossref]

30. ● Summary: [Google Scholar] [Crossref]

31. A systematic review of 29 studies showing that fitness app adoption increased significantly due to digital transformation and health awareness. [Google Scholar] [Crossref]

32. ● Author(s): Jerzy Tchórzewski, Wojciech Nabiałek, Artur Księżopolski [Google Scholar] [Crossref]

33. ● Year: 2023 [Google Scholar] [Crossref]

34. ● Link: Read Study [Google Scholar] [Crossref]

35. ● Summary: [Google Scholar] [Crossref]

36. Analyzed a web-based gym management system using systems theory and modeling. It demonstrated how system structure improves gym operations and data processing. [Google Scholar] [Crossref]

37. Abilar, J. C., Artica, B. B., Limsiaco, C. I. R., Subade, D. P., Tanael, D. V., & Centeno, C. J. (n.d.). Fitness game application for promoting physical activity and healthy lifestyle using ISO 25010 evaluation. [Google Scholar] [Crossref]

38. https://pdfs.semanticscholar.org/a458/7a9b8689b2f7ddaae09e44b57b14c2268a07.pdf [Google Scholar] [Crossref]

39. Cauilan, J. M., Macaraeg, A. D., Parreño, R. S., Solomon, M. M., & Teria, J. K. R. (n.d.). Strong Tower Management System with health monitoring progress. [Google Scholar] [Crossref]

40. https://www.scribd.com/document/648536224/5-25-2023 [Google Scholar] [Crossref]

41. Nishanthan, M.(2023) developed JK Fitness Office: Web based Gym Management System. https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4712 [Google Scholar] [Crossref]

42. Zhao, D., Wang, F., & Zhu, X.-f. (2023). Design and implementation of gym management system based on web. https://books.google.com/books?hl=en&lr=&id=97nJEAAAQBAJ&oi=fnd&pg=PA44&dq=web+base d+gym+management+system&ots=YPo6lKZhmE&sig=RVq4l8DTpI_TTJLuB9QwuybE6Ic [Google Scholar] [Crossref]

44. 2022 [Google Scholar] [Crossref]

45. ● Author(s): Mobark Q. Aldossari, Quynh N. Nguyen, Anh Tac, Steven A. Schulz [Google Scholar] [Crossref]

46. ● Year: 2022 [Google Scholar] [Crossref]

47. ● Link: Read Study [Google Scholar] [Crossref]

48. ● Summary: [Google Scholar] [Crossref]

49. Examined how system quality and information quality influence user behavior and performance in fitness apps. [Google Scholar] [Crossref]

50. 2025 [Google Scholar] [Crossref]

51. Bulaclac, J. R., Pastorfide, J. M. V., Herrera, N. G., & Tambio, C. N. C. (n.d.). King’s Way cashless payment and product monitoring system with QR technology for the fitness industry. Nueva Ecija University of Science and Technology, Philippines. https://www.ijikm.org/Volume20/IJIKMv20Art035Bulaclac12314.pdf [Google Scholar] [Crossref]

52. Hussain, A. R., Yi, K. W., Halimi, S. N. A. R., & Abidin, S. M. F. S. (n.d.). Q-Fitness Gym System (QFGS): A web-based gym management platform. [Google Scholar] [Crossref]

53. https://rsisinternational.org/journals/ijriss/view/q-fitness-gym-system-an-integrated-web-application-for-smart-gym-operations-and-member-engagement [Google Scholar] [Crossref]

54. Sabado, S. C., Espartinez, R. A., Acepcion, R., Jr., Bautista, J. V. P., Mancera, F. W., & Magdael, A. J. (n.d.). A web-based gym member monitoring system using predictive analytics and decision tree [Google Scholar] [Crossref]

56. algorithm. Arellano University, Pasig Campus. https://www.ijltemas.in/submission/online/article/view/3287?utm_source [Google Scholar] [Crossref]

57. Villanueva, M. C., Sevilla, S. A. S., & Verecio, R. L. (2025). Development of Olympic Fitness Gym Management System with integrated QR code technology. [Google Scholar] [Crossref]

58. https://doi.org/10.46932/sfjdv6n4-030 [Google Scholar] [Crossref]

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