The Use of Technology in The Development of Culturally-Based Creative Gymnastics as a Modern Fitness Medium
DOI:
https://doi.org/10.37134/trij.vol2.sp.12.2026Keywords:
Digital technology, Creative exercise, Local culture, Fitness, Motivation, SDG 1 Good Health and Well-beingAbstract
The development of digital technology has influenced people’s lifestyles, which are becoming increasingly sedentary, leading to a decline in physical fitness levels. On the other hand, local culture, particularly in South Sumatra, also faces challenges due to the younger generation’s waning interest in traditional values. This study aims to analyze the use of technology in the development of Palembang Darussalam Creative Gymnastics as a medium for modern fitness as well as a means of preserving local culture, to measure its influence on physical fitness, and to determine its impact on motivation and participation. This study employs a mixed-methods approach with a quasi-experimental design (pretest-posttest control group). The study sample consisted of 60 participants divided into an experimental group and a control group over a 6-week period. The experimental group utilized technology-based media such as interactive videos and digital applications, while the control group used conventional methods. The results of the study indicate that the experimental group experienced significant improvements in physical fitness, as evidenced by an increase in VO2max of ±20%, flexibility of ±30%, and a decrease in resting heart rate (p < 0.05). Additionally, motivation and participation levels also improved, with 85% of participants feeling more motivated and 82% being more consistent in their training. These findings indicate that the use of technology in the Palembang Darussalam Creative Gymnastics program is not only effective in improving fitness but also enhances participant engagement and serves as an innovative medium for preserving the local culture of South Sumatra in the digital age.
Downloads
References
American College of Sports Medicine. (2021). ACSM’s guidelines for exercise testing and prescription (11th ed.). American College of Sports Medicine.
American Heart Association. (2020). Target heart rates chart. Diakses dari: https://www.heart.org/en/healthy-living/fitness/fitness-basics/target-heart-rates Diakses pada 18 April 2026
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
Direito, A., Dale, L. P., Shields, E., Dobson, R., Whittaker, R., & Maddison, R. (2021). Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? British Journal of Sports Medicine, 55(5), 1–7.
Direito, A., Jiang, Y., Whittaker, R., & Maddison, R. (2015). Apps for improving fitness and increasing physical activity among young people: The AIMFIT pragmatic randomized controlled trial. British Journal of Sports Medicine, 49(6), 383–389.
Ekelund, U., Tarp, J., Steene-Johannessen, J., Hansen, B. H., Jefferis, B., Fagerland, M. W., … Lee, I. M. (2019). Dose-response associations between accelerometry measured physical activity and sedentary time and all-cause mortality. The Lancet, 393(10186), 1916–1927.
Fanning, J., Roberts, S., Hillman, C. H., Mullen, S. P., Ritterband, L., & McAuley, E. (2020). A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. American Journal of Preventive Medicine, 58(6), 781–789.
Fanning, J., Mullen, S. P., & McAuley, E. (2020). Increasing physical activity with mobile devices: A meta-analysis. American Journal of Preventive Medicine, 51(5), 1–12.
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
Forde, S. A., Coppinger, T., Rea, S., & Hanrahan, S. (2025). The effectiveness of digital tools in physical activity interventions for individuals with severe mental illness: A scoping review. Disability and Rehabilitation: Assistive Technology, 20(8), 2594–2615. https://doi.org/10.1080/17483107.2025.2508938
Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2020). Global trends in insufficient physical activity among adolescents: A pooled analysis. The Lancet Global Health, 8(3), e358–e370.
Ibragimova, E., Ivanov, D., & Petrova, N. (2025). Digital motivation and student physical activity: The role of mobile fitness applications. Retos, 67, 1162-1173. DOI:10.47197/retos.v67.113635
Kaminsky, L. A., Arena, R., & Myers, J. (2023). Reference standards for cardiorespiratory fitness measured with cardiopulmonary exercise testing. Progress in Cardiovascular Diseases, 76, 1–10.
Leger, L. A., & Lambert, J. (1982). A maximal multistage 20-m shuttle run test to predict VO₂ max. European Journal of Applied Physiology, 49(1), 1–12.
Mokmin, N. A. M., & Jamiat, N. (2020). The effectiveness of virtual fitness trainer applications on physical fitness level. International Journal of Emerging Technologies in Learning, 15(14), 1–10.
Rhodes, R. E., & Kates, A. (2019). Can the affective response to exercise predict future motives and physical activity behavior? Annals of Behavioral Medicine, 53(1), 1–12.
Sugiyono. (2020). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Thomas, J. R., Nelson, J. K., & Silverman, S. J. (2015). Research methods in physical activity (7th ed.). Human Kinetics.
Warburton, D. E. R., & Bredin, S. S. D. (2019). Health benefits of physical activity: A systematic review of current systematic reviews. Current Opinion in Cardiology, 34(5), 541–556.
World Health Organization. (2020). Guidelines on physical activity and sedentary behaviour. World Health Organization.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Oktariyana, Leni Pebriantika, Desi Munawaroh, Noviria Sukmawati, Noor Asmina Mohd Rashid (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
