Identifikasi Kadar Gula Darah pada Atlet Angkat Besi Menggunakan Aplikasi Berbasis WEB
Abstract
This study aims to analyze blood sugar levels in weightlifters in Jambi City using a web-based application. The method used is descriptive observational using a survey design. The research results showed that normal blood sugar levels were greater than abnormal blood sugar levels based on gender and age. In conclusion, blood sugar levels in weightlifting athletes are predominantly normal based on age and gender.
Keywords: Weightlifting Athletes, Blood Glucose Levels, Web
References
Akkase, A. (2022). Hubungan antara Kadar Glukosa Darah dan Daya Tahan Atlet Sepak Takraw. Journal Physical Health Recreation (JPHR), 3(1), 1–4. https://doi.org/10.55081/jphr.v3i1.686
Arania, R., Triwahyuni, T., Esfandiari, F., & Nugraha, F. R. (2021). Hubungan antara Usia, Jenis Kelamin, dan Tingkat Pendidikan dengan Kejadian Diabetes Mellitus di Klinik Mardi Waluyo Lampung Tengah. Jurnal Medika Malahayati, 5(3), 146–153. https://doi.org/10.33024/jmm.v5i3.4200
Garcia-Molina, L., Lewis-Mikhael, A. M., Riquelme-Gallego, B., Cano-Ibanez, N., Oliveras-Lopez, M. J., & Bueno-Cavanillas, A. (2020). Improving Type 2 Diabetes Mellitus Glycaemic Control Through Lifestyle Modification Implementing Diet Intervention: A Systematic Review and Meta-Analysis. European Journal of Nutrition, 59(4), 1313–1328. DOI: https://doi.org/10.1007/s00394-019-02147-6
Juan, J., & Yang, H. (2020). Prevalence, Prevention, and Lifestyle Intervention of Gestational Diabetes Mellitus in China. International Journal of Environmental Research and Public Health, 17(24), 9517. https://doi.org/10.3390/ijerph17249517
Komariah, K., & Rahayu, S. (2020). Hubungan Usia, Jenis Kelamin dan Indeks Massa Tubuh dengan Kadar Gula Darah Puasa pada Pasien Diabetes Melitus Tipe 2 di Klinik Pratama Rawat Jalan Proklamasi, Depok, Jawa Barat. Jurnal Kesehatan Kusuma Husada, 41–50. DOI: https://doi.org/10.34035/jk.v11i1.412
Laza, V. (2020). Intermittent Fasting in Athletes: PROs and CONs. Health, Sports & Rehabilitation Medicine, 21(1), 52–58. https://doi.org/10.26659/pm3.2020.21.1.52
Marling, C., & Bunescu, R. (2020). The OhioT1DM Dataset For Blood Glucose Level Prediction: Update 2020. CEUR Workshop Proceedings, 2675, 71. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881904/pdf/nihms-1668254.pdf
Mohiuddin, A. K. (2020). Fast Food Addiction: A Major Public Health issue. Journal Nutrition Food Process, 3(1). Doi:10.31579/2637-8914/017
Moradi, F., Ziapour, A., Abbas, J., Najafi, S., Rezaeian, S., Faraji, O., Moayeri, E., & Soroush, A. (2023). Comparing the Associated Factors on Lifestyle between Type 2 Diabetic Patients and Healthy People: A Case-Control Study. Community Health Equity Research & Policy, 43(3), 293–299. https://doi.org/10.1177/0272684X2110221
Mugianti, S., Riyadi, B. D., Suyitno, J. H., & Suprajitno, S. (2022). Comparison of Body Mass Index and Behavior of CERDIK of Individuals as Risk Factors of Suffering from Non-Communicable Diseases. Jurnal Info Kesehatan, 20(2), 135–142. DOI: https://doi.org/10.31965/infokes.Vol20.Iss2.805
Nawaz, M., Ali, A., & Nawaz, A. (2023). Assessing the Difference Concerning Junk Food Consumption and Menstrual Health Among Female Student-Athletes verses Student Non-Athletes in the University Setting. Pakistan Languages and Humanities Review, 7(3), 1–11. DOI: https://doi.org/10.47205/plhr.2023(7-III)01
Puspita, I. (2020). Sistem Transmisi Data Gula Darah Berbasis Arduino. Power Elektronik: Jurnal Orang Elektro, 9(1). DOI: https://doi.org/10.30591/polektro.v9i1.1797
Rasmussen, L., Poulsen, C. W., Kampmann, U., Smedegaard, S. B., Ovesen, P. G., & Fuglsang, J. (2020). Diet and Healthy Lifestyle in The Management of Gestational Diabetes Mellitus. Nutrients, 12(10), 3050. https://doi.org/10.3390/nu12103050
Ridho, M. A., Pradana, F., & Sari, Y. A. (2020). Pengembangan Sistem Konsultasi Gizi dan Konsumsi Harian Berbasis Web. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. 5(8). https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/9558
Sadikin, A., Johari, A., & Suryani, L. (2020). Pengembangan Multimedia Interaktif Biologi Berbasis Website dalam Menghadapi Revolusi Industri 4.0. Edubiotik: Jurnal Pendidikan, Biologi dan Terapan, 5(01), 18–28. DOI: https://doi.org/10.33503/ebio.v5i01.644
Siswanto, D. O. (2022). Alat Pengukur Kadar Gula Darah Berbasis Iot Web dengan Teknik No-Invasive. Blantika: Multidisciplinary Journal, 1(1), 76–95. https://blantika.publikasiku.id/index.php/bl/article/view/21/42
Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Health and Treatment of Diabetes Mellitus. International Journal of Health Sciences, 5(1). https://doi.org/10.53730/ijhs.v5n1.2864
Sutarya, D. (2021). Sistem Monitoring Kadar Gula Darah, Kolestrol dan Asam Urat Secara Non Invasive Menggunakan Sensor GY-MAX 30100. JOULE: Jurnal Ilmiah Teknologi Energi, Teknologi Media Komunikasi Dan Instrumentasi Kendali., 1(1), 25–34. https://journal.univpancasila.ac.id/index.php/joule/article/view/2697/1417
Tang, L., Chang, S. J., Chen, C. J., & Liu, J. T. (2020). Non-Invasive Blood Glucose Monitoring Technology: A Review. Sensors, 20(23), 6925. https://doi.org/10.3390/s20236925
Wang, X., Wang, S., Sun, L., & Qin, G. (2020). Prevalence of Diabetes Mellitus in 2019 Novel Coronavirus: A Meta-Analysis. Diabetes Research and Clinical Practice, 164, 108200. https://doi.org/10.1016/j.diabres.2020.108200
Arania, R., Triwahyuni, T., Esfandiari, F., & Nugraha, F. R. (2021). Hubungan antara Usia, Jenis Kelamin, dan Tingkat Pendidikan dengan Kejadian Diabetes Mellitus di Klinik Mardi Waluyo Lampung Tengah. Jurnal Medika Malahayati, 5(3), 146–153. https://doi.org/10.33024/jmm.v5i3.4200
Garcia-Molina, L., Lewis-Mikhael, A. M., Riquelme-Gallego, B., Cano-Ibanez, N., Oliveras-Lopez, M. J., & Bueno-Cavanillas, A. (2020). Improving Type 2 Diabetes Mellitus Glycaemic Control Through Lifestyle Modification Implementing Diet Intervention: A Systematic Review and Meta-Analysis. European Journal of Nutrition, 59(4), 1313–1328. DOI: https://doi.org/10.1007/s00394-019-02147-6
Juan, J., & Yang, H. (2020). Prevalence, Prevention, and Lifestyle Intervention of Gestational Diabetes Mellitus in China. International Journal of Environmental Research and Public Health, 17(24), 9517. https://doi.org/10.3390/ijerph17249517
Komariah, K., & Rahayu, S. (2020). Hubungan Usia, Jenis Kelamin dan Indeks Massa Tubuh dengan Kadar Gula Darah Puasa pada Pasien Diabetes Melitus Tipe 2 di Klinik Pratama Rawat Jalan Proklamasi, Depok, Jawa Barat. Jurnal Kesehatan Kusuma Husada, 41–50. DOI: https://doi.org/10.34035/jk.v11i1.412
Laza, V. (2020). Intermittent Fasting in Athletes: PROs and CONs. Health, Sports & Rehabilitation Medicine, 21(1), 52–58. https://doi.org/10.26659/pm3.2020.21.1.52
Marling, C., & Bunescu, R. (2020). The OhioT1DM Dataset For Blood Glucose Level Prediction: Update 2020. CEUR Workshop Proceedings, 2675, 71. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881904/pdf/nihms-1668254.pdf
Mohiuddin, A. K. (2020). Fast Food Addiction: A Major Public Health issue. Journal Nutrition Food Process, 3(1). Doi:10.31579/2637-8914/017
Moradi, F., Ziapour, A., Abbas, J., Najafi, S., Rezaeian, S., Faraji, O., Moayeri, E., & Soroush, A. (2023). Comparing the Associated Factors on Lifestyle between Type 2 Diabetic Patients and Healthy People: A Case-Control Study. Community Health Equity Research & Policy, 43(3), 293–299. https://doi.org/10.1177/0272684X2110221
Mugianti, S., Riyadi, B. D., Suyitno, J. H., & Suprajitno, S. (2022). Comparison of Body Mass Index and Behavior of CERDIK of Individuals as Risk Factors of Suffering from Non-Communicable Diseases. Jurnal Info Kesehatan, 20(2), 135–142. DOI: https://doi.org/10.31965/infokes.Vol20.Iss2.805
Nawaz, M., Ali, A., & Nawaz, A. (2023). Assessing the Difference Concerning Junk Food Consumption and Menstrual Health Among Female Student-Athletes verses Student Non-Athletes in the University Setting. Pakistan Languages and Humanities Review, 7(3), 1–11. DOI: https://doi.org/10.47205/plhr.2023(7-III)01
Puspita, I. (2020). Sistem Transmisi Data Gula Darah Berbasis Arduino. Power Elektronik: Jurnal Orang Elektro, 9(1). DOI: https://doi.org/10.30591/polektro.v9i1.1797
Rasmussen, L., Poulsen, C. W., Kampmann, U., Smedegaard, S. B., Ovesen, P. G., & Fuglsang, J. (2020). Diet and Healthy Lifestyle in The Management of Gestational Diabetes Mellitus. Nutrients, 12(10), 3050. https://doi.org/10.3390/nu12103050
Ridho, M. A., Pradana, F., & Sari, Y. A. (2020). Pengembangan Sistem Konsultasi Gizi dan Konsumsi Harian Berbasis Web. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. 5(8). https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/9558
Sadikin, A., Johari, A., & Suryani, L. (2020). Pengembangan Multimedia Interaktif Biologi Berbasis Website dalam Menghadapi Revolusi Industri 4.0. Edubiotik: Jurnal Pendidikan, Biologi dan Terapan, 5(01), 18–28. DOI: https://doi.org/10.33503/ebio.v5i01.644
Siswanto, D. O. (2022). Alat Pengukur Kadar Gula Darah Berbasis Iot Web dengan Teknik No-Invasive. Blantika: Multidisciplinary Journal, 1(1), 76–95. https://blantika.publikasiku.id/index.php/bl/article/view/21/42
Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Health and Treatment of Diabetes Mellitus. International Journal of Health Sciences, 5(1). https://doi.org/10.53730/ijhs.v5n1.2864
Sutarya, D. (2021). Sistem Monitoring Kadar Gula Darah, Kolestrol dan Asam Urat Secara Non Invasive Menggunakan Sensor GY-MAX 30100. JOULE: Jurnal Ilmiah Teknologi Energi, Teknologi Media Komunikasi Dan Instrumentasi Kendali., 1(1), 25–34. https://journal.univpancasila.ac.id/index.php/joule/article/view/2697/1417
Tang, L., Chang, S. J., Chen, C. J., & Liu, J. T. (2020). Non-Invasive Blood Glucose Monitoring Technology: A Review. Sensors, 20(23), 6925. https://doi.org/10.3390/s20236925
Wang, X., Wang, S., Sun, L., & Qin, G. (2020). Prevalence of Diabetes Mellitus in 2019 Novel Coronavirus: A Meta-Analysis. Diabetes Research and Clinical Practice, 164, 108200. https://doi.org/10.1016/j.diabres.2020.108200
