Penerapan Metode Rockport Dalam Tes Kebugaran Jasmani Melalui Aplikasi SIPGAR Pada Usia Produktif
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Abstrak
Kebugaran jasmani pusia produktif menjadi determinan penting dalam mencegah penyakit tidak menular (PTM) yang meningkat akibat perilaku sedentary. Pemanfaatan teknologi digital kesehatan seperti aplikasi SIPGAR, dikombinasikan dengan metode Rockport Fitness Walking Test, menawarkan pendekatan praktis dalam mengukur kapasitas aerobik (VO₂max). Kegiatan pengabdian masyarakat ini bertujuan menguji efektivitas penerapan metode Rockport berbasis aplikasi dalam meningkatkan kebugaran sekaligus mendorong literasi kesehatan digital. Metode pelaksanaan dilakukan secara langsung di ruang terbuka hijau dengan melibatkan 15 peserta usia 15–50 tahun melalui tahapan medical check-up dasar, skrining PAR-Q, serta pelaksanaan tes Rockport sejauh 1,6 km. Hasil menunjukkan adanya peningkatan signifikan nilai VO₂max dari 28,4 menjadi 32,1 ml/kg/menit (p=0,001), yang mengindikasikan perbaikan kapasitas kardiorespirasi. Selain itu, sebanyak 67% peserta mampu mengoperasikan aplikasi secara mandiri, mencerminkan tingkat literasi digital fungsional yang baik. Kesimpulannya, integrasi metode Rockport dengan aplikasi SIPGAR efektif meningkatkan kebugaran jasmani sekaligus memperkuat kemandirian masyarakat dalam memantau kesehatan berbasis digital secara berkelanjutan.
Kata Kunci: Rockport, SIPGAR, Kebugaran jasmani dan Usia produktif
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Referensi
Aprianto, D. and Nurwahyuni, A. (2021). Hubungan Indeks Massa Tubuh (Imt) Dengan Tingkat Kebugaran Jasmani Pegawai Kementerian Kesehatan. Hearty, 9(2), 49. https://doi.org/10.32832/hearty.v9i2.5274
Badan Pusat Statistik Kota Banjarmasin. (2024). Indikator Kesejahteraan Rakyat Kota Banjarmasin 2024. Banjarmasin: BPS Kota Banjarmasin. Web-api.bps.go.id
Baska, D. Y., Wahyuni, E., & Savitri, W. (2023). Efektifitas the Safe Delivery App (SDA) secara Blended Learning terhadap Pengetahuan Bidan. Jurnal Bidan Cerdas, 5(1), 34–42. https://doi.org/10.33860/jbc.v5i1.1774
Bassett, D. R., & Howley, E. T. (2000). Limiting factors for maximum oxygen uptake and determinants of endurance performance. Medicine & Science in Sports & Exercise, 32(1), 70–84. https://doi.org/10.1097/00005768-200001000-00012
Çavuş, N., Mohammed, Y. B., & Yakubu, M. N. (2021). An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps. Sustainability, 13(11), 6206. https://doi.org/10.3390/su13116206
Dang, T., Spathis, D., Ghosh, A., & Mascolo, C. (2023). Human-centred artificial intelligence for mobile health sensing: challenges and opportunities. Royal Society Open Science, 10(11). https://doi.org/10.1098/rsos.230806
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
https://www.jstor.org/stable/249008
Fahriyah. 2020. Identifikasi Literasi Digital Remaja Dusun Randugembung Desa Randugenengan Kecamatan Dlanggu Kabupaten Mojokerto. Seminar Nasional Gerakan Pemasyarakatan Minat Baca, tanggal 26-27 Oktober 2020
Gumala, N., Nursanyoto, H., & Ambartana, I. (2023). The Risk Of Degenerative Diseases Based On Energy Consumption And Exercise Habits. Jurnal Riset Kesehatan. 12(1), 50-56. https://doi.org/10.31983/jrk.v12i1.9579
Hansen, D., et al. (2010). Importance Of Exercise Training Compliance. European Journal of Cardiovascular Prevention. https://journals.sagepub.com/home/cpr
Huwaida, Z., Anggraini, F. T., & Firdawati, F. (2022). Hubungan Aktivitas Fisik dengan Kebugaran Jasmani Siswa SDN 13 Sungai Pisang. Jurnal Ilmu Kesehatan Indonesia, 2(4), 243–248. https://doi.org/10.25077/jikesi.v2i4.361
Jukić, T., Ihan, A., Strojnik, V., Štubljar, D., & Starc, A. (2020). The Effect Of Active Occupational Stress Management On Psychosocial And Physiological Wellbeing: A Pilot Study. Research Square https://doi.org/10.21203/rs.2.23527/v3
Kim, H., & Xie, B. (2017). Health Literacy In The Ehealth Era. Journal of Medical Internet Research, 19(1), e2. https://www.jmir.org/2017/1/e2
Kodama, S., Saito, K., Tanaka, S., Maki, M., Yachi, Y., Asumi, M., Sugawara, A., Totsuka, K., Shimano, H., Ohashi, Y., Yamada, N., & Sone, H. (2009). Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: A meta-analysis. JAMA, 301(19), 2024–2035. https://doi.org/10.1001/jama.2009.681
Kolapo, A., & Didunyemi, A. J. (2024). Effects Of Exposure On Adoption Of Agricultural Smartphone Apps Among Smallholder Farmers In Southwest, Nigeria: Implications On Farm-Level-Efficiency. Agriculture & Food Security, 13(1). https://doi.org/10.1186/s40066-024-00485-1
Kraaij, W., Verberne, S., Koldijk, S., Korte, E. de, Dantzig, S. van, Sappelli, M., Shoaib, M., Bosems, S., Achterkamp, R., Bonomi, A., Schavemaker, J. G. M., Hulsebosch, B., Wabeke, T. R., Vollenbroek-Hutten, M., Neerincx, M. A., & Sinderen, M. van. (2019). Personalized support for well-being at work: an overview of the SWELL project. User Modeling and User-Adapted Interaction. https://doi.org/10.1007/s11257-019-09238-3
Lestari, D., et al. (2021). Pengaruh Latihan Jalan Kaki Terhadap Peningkatan VO₂Max. Jurnal Kesehatan Olahraga, 9(2). https://ejournal.unesa.ac.id/index.php/jurnal-kesehatan-olahraga
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective Techniques In Healthy Eating And Physical Activity Interventions: A Meta-Regression. Health Psychology, 28(6), 690–701. https://doi.org/10.1037/a0016136
Myers, J., Prakash, M., Froelicher, V., et al. (2002). Exercise Capacity And Mortality. New England. Journal of Medicine, 346(11), 793–801. https://www.nejm.org/doi/full/10.1056/NEJMoa011858
Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health. Journal of Medical Internet Research, 8(2), e9.
https://www.jmir.org/2006/2/e9
Oktovin, Ermeisi Er Unja1, Maria Frani Ayu A.D1, Anastasia Maratning, Aulia Rachman. (2024). Resiko Penyakit Tidak Menular Pada Masyarakat Usia Produktif (15 64 Tahun) Di Kota Banjarmasin Di Era Society 5.0. Journal of Nursing Invention. VOL. 5. No. 2 2024 | DOI: https://doi.org/10.33859/jni.v5i2
Radio Republik Indonesia. (2026, Februari 12). Gaya hidup sedentari, ancaman diam-diam di era digital. RRI.co.id.
Sagita, N. M. I., Antari, N. K. A. J., Griadhi, I. P. A., & Wibawa, A. (2023). Tingkat Sedentary Life Terhadap Kebugaran Kardiovaskuler Remaja. Majalah Ilmiah Fisioterapi Indonesia, 11(2), 133. https://doi.org/10.24843/mifi.2023.v11.i02.p05
Sun, Z., Di, L., Cvetojevic, S., & Yu, Z. (2020). GeoFairy2: A Cross-Institution Mobile Gateway to Location-Linked Data for In-Situ Decision Making. Isprs International Journal of Geo-Information, 10(1), 1. https://doi.org/10.3390/ijgi10010001
Tjahjono, C. T., & Arthamin, M. Z. (2024). Sedentary lifestyle as a leading cause of some diseases and disability. Clinical and Research Journal in Internal Medicine, 5(1), 60–85. https://doi.org/10.21776/ub.crjim.2024.005.01.09
Van Deursen, A. J., & van Dijk, J. A. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526.
https://journals.sagepub.com/doi/10.1177/1461444813487959
World Health Organization. (2020). Global Action Plan On Physical Activity 2018–2030. https://www.who.int/publications/i/item/9789241514187