Available online at : http://journal.unj.ac.id/unj/index.php/gjik Gladi : Jurnal Ilmu Keolahragaan 12 (05) 2021, 396-402 Permalink/DOI: https://doi.org/10.21009/GJIK.125.06 This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. VO2MAX ANALYSIS ABC RUNNING DRILL WITH TRAINING MASK METHOD USING ANDROID BASED Dicky Reva Apriana Sanga Dwi1, Budi 1 , Boby Agustan 1 1,², ³Pendidikan Jasmani Kesehatan dan Rekreasi, STKIP Muhammadiyah Kuningan Jl. Raya Murtasiah Supomo No.28 B Kuningan – Jawa Barat. Coresponding author. Email dickyreva@gmail.com Abstract :The purpose of this study was to analyze the effect of ABC Running Drill using Training Mask on increasing Vo2max Android-based. From the research objective, the researcher used the Pretest- Posttest Experiment Design. The research method used is the research and development (RnD) model from Borg and Gall. Population this research is beginner athletes, members of the Unit Kegiatan Mahasiwa (UKM) Track and Field STKIP Muhammadiyah Kuningan totaling 10 people, the sampling technique uses total sampling technique. The research test instrument used to collect data is the 2400 Meter run test (Cooper Test). After getting the data and obtaining it then the data is input into the system to be used as a database on the application, the android application can be downloaded link bit.ly/PDPDickyReva. To analyze the research data using SPSS Version 26, the results of the processing of the Hypothesis Test using the Pearson formula obtained the following data: There is a significant effect after the ABC Running Drill training process using the Training Mask (sig.) 0.00 < 0.05 so it can be concluded that the ABC Running exercise Drill using a Training Mask has a significant effect on increasing vo2max in Track and Field UKM STKIP Muhammadiyah Kuningan. Keywords: ABC Running, Training Mask, VO2max, Android. INTRODUCTION In sports and science and technology cannot be separated from each other, this aims to achieve the highest achievement assisted by IT to facilitate the analysis of athlete fitness. Therefore, android-based applications to support this sport must be applied properly. The use of IT aims to improve the quality of human resources, especially in strategic sectors, especially in the field of sports. The development of sports science and technology has been confirmed in Law no. 3 of 2005 concerning the National Sports System, in particular Article 74 [1]. Furthermore, it is further clarified in PP No. 16 of 2007 especially in Chapter IX Article 74 [2]. This study is urgently needed by athletes and coaches with the strategic issue raised, namely the limited human resources of sports practitioners in terms of reviewing the condition of athletes (VO2max) based on android applications to see the development of abilities and fitness of athletic athletes. Implementation was carried out on adolescent athletic athletes in Kuningan Regency. Problems found based on observations made by researchers found data mailto:dickyreva@gmail.com PDP/bit.ly/PDPDickyReva Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 397 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan that 1) Trainers have not used android-based applications. To control the athlete's VO2max status, 2) The coach has not fully implemented IT in the athlete's training program process, 3) the need for VO2max analysis in athletes based on an android application that can be easily accessed via a smartphone, This research focuses on the ABC Running Drill training method using mask training mask to find out whether there is an increase in VO2max resulting from the exercise program that is applied or inputted to data that can be accessed on the android application which can then be used as a reference for the coach to determine the athlete's VO2max development, through this research proposal by novice lecturers (PDP). specifically conducting in-depth research on VO2max analysis of athletic athletes based on big data on the android platform. This research is very much done to measure the readiness of athletes in the upcoming championships and to analyze the athlete's development so that the coach can easily control whether the athlete experiences an increase in his VO2max or decreases, besides that the role of the coach in implementing IT in the training program is not fully used because the role in this android application is highly expected by the coach. The detailed specifications are as follows: Figure 1. Specification A. ABC Running Drill Athletic Basic Coordination Running or commonly known as ABC Running is a movement coordination exercise hands and feet to increase speed, agility, and good coordination between hands and feet to maximize results in running. There are several ABC Running movements including High Knee Skips, Butt Kicker, Ankle Drill, Skipping’s, High Knee Running, Foreleg Extension Marching, Straight Leg Running, High Knee Bounce Skips, Ankle Bounce, and Bounding. Exercise rather than ABC Running is a coordination exercise between the legs and hands that varies with systematic movements with easy to hard movement stages. ABC running training method is one of the training programs that are arranged systematically in which there are elements of running and jumping techniques and varied movements performed at low, medium, and high volumes and intensities, so this exercise is highly recommended by athletic trainers for included in the training program because the exercise movement is simple and can be done in a place that is not wide and can develop coordination of movements. Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 398 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan (Setyantoko, 2019). In athletics, speed and acceleration are inseparable units in running and are factors supporting the ability to run, both of these factors have an important role and both can be trained with basic movements using the ABC Running technique. For athletes running short distances, speed and acceleration are needed to record a good time by moving the body position quickly from the ground start line to finish line. Sprinting is an ability that is characterized by a process garis finish. move body position from one place to another quickly (Dwi, 2018). B.Training Mask Special sports masks or commonly called training masks are masks that are specifically designed to support sports activities that can increase VO2max capacity. The Elevation Training Mask 2.0 (ETM) purportedly simulates altitude training and has been suggested to increase aerobic capacity (VO2max), endurance performance, and lung function (Porcari, 2016). According to Porcari elevation training mask can provide the effect of high-intensity exercise to increase aerobic capacity (VO2max), endurance performance, and lung function. Figure 2. Training Mask Using this tool if can increase a person's VO2max capacity because it has been trained using a training mask so that with this training the respiratory system or aerobic capacity (VO2max) can be increased, the increase in VO2max can improve athletes' running performance so that they can continue to excel with training methods plus the use of masks. Elevation Training Masks© (ETM) claims to stimulate cardiorespiratory fitness improvements like training at altitude (Biggs, 2017). C.VO2max The aerobic capacity of athletes is an important element of success in sports achievements. It is generally considered the best indicator of cardiorespiratory endurance and athletic fitness. Body fat percentage affects VO2 max and thus the cardiovascular status of the athletes (Shete, 2014). According to Shete, the aerobic capacity of an athlete is an important element in the success of sports achievement. Basically considered the best indicator of cardiorespiratory endurance and athletic fitness. Body fat percentage affects the VO2 max as well as the cardiovascular status of Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 399 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan the athletes. VO2max is an important determinant of the athlete's achievement, because with the capacity High VO2max and supported by programmed physical exercise can improve athlete performance. Running performance in athletics is influenced by physiological factors, therefore, athletic runners are very dependent on high aerobic capacity or in maximal oxygen uptake (VO2 max) when running, in the first time starting to run up to 10 minutes VO2max plays an important role in running, VO2max is shown to be the physiological variable that correlates best with performance in competitions lasting between 4 and 10 minutes (Støa, 2010). According to Støa VO2max proved to be the most important physiological variable related to oxygen capacity performance in competitions lasting between 4 and 10 minutes. Aerobic capacity (VO2max) is a strong predictor of health and fitness and is considered a key physiological measure in the healthy adult population (Bennett, 2016), according to Bennet Aerobic capacity (VO2max) is a strong factor for health and fitness and is considered a physiological measure This statement is in line with research on athletes if health and fitness factors are improved, of course, the VO2max capacity will increase so that athletes will not feel significant fatigue, if cardio is trained properly athletes can also reduce lactic acid. which is not good for the athlete's condition, so that the body condition can be fit with the intensity of a short time because of the effects given when training VO2max.D. Aplikasi Android Vo2max Atlet Exercise data can be both quantitative and qualitative and can be collected on a large scale from various sources such as biometric data, films or videos, historical medical reports, VO2max condition data. The system of big data android Vo2max athletes can be used to collect various biometrics (physiological, kinematic, and kinetic data) and track data as athletes. This application, it focuses more on the athlete's VO2max data which outlines the athlete's physical condition. According to Wilkerson Sports, data can be both quantitative and qualitative and can be collected on a large scale from a variety of sources such as biometric data, films or videos, historical medical reports, on-field or on-route positional tracking data, weathe,r and crowd behavioral. Wearable microelectronic mechanical (MEM) systems can collect a range of biometric (physiological, kinematic,c and kinetic data) and geospatial tracking data as athletes physically move through space during sporting activities (Wilkerson, 2016). METHODS This research is a Beginner Lecturer Research (PDP) which adapts from Borg and Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 400 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan Gall development research which is modified into six stages consisting of 1) Research, 2) design development, 3) Early test, 4) Focus Group Discussion (FGD), 5) Product Revision, 6) Dissemination. In detail can be seen in the following figure: Figure 3. Model Design Based on the picture, the 3 stages of the research flow are as follows: 1. Analysis of the needs is a preliminary study step, 2. Design Development This stage develops the design of the big data android application that contains the athlete's VO2max, 3. Small- scale Trial Small-scale trial using 3 physical trainers and 10 students, 4. Focus Group Discussion ( FGD) The FGD stage was attended by 3 sports and IT experts, 3 trainers and researchers. 5. Revision, The next stage is the revision of the results of the Focus Group Discussion (FGD). RESULT AND DISCUSSION From the analysis of the data obtained by the researcher, the following data were obtained: 1. Research data statistics Table 1. Statistic Statistics Pretes Postes N Valid 10 10 Missing 0 0 Mean 12.8960 11.9840 Median 13.1450 12.2500 Mode 12.33 10.48a Std. Deviation .83751 .76301 Variance .701 .582 Range 2.89 2.81 Minimum 11.46 10.48 Maximum 14.35 13.29 Sum 128.96 119.84 From the data table above, it is obtained that the mean value of the pretest is 12.8960 while for the post-test average the value is 11.9840, for the median value of the pretest is 13.1450 while the post-test is 12.2500, the value that often appears in the pretest. ie 12.33 while the posttest is 10.48, the standard deviation of the pretest is 0.83751 while the posttest is 0.76301, the highest score is 11.46 posttest and 10.48 posttest, the lowest score is 14.35 and posttest is 13.29, the total score from the pretest which is 128.96 while the posttest is 119.84. The conclusion from the data results means that there is a difference between pretest and posttest so it can be concluded that there is an increase after being given treatment 2. Normality Test This test aims to see the distribution of the group given treatment to draw conclusions whether the data is normally distributed or not. The results of normality testing can be seen in the following table: Table 2.Normality Test One-Sample Kolmogorov-Smirnov Test Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 401 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan Pretes Postes N 10 10 Normal Parametersa,b Mean 12.8960 11.9840 Std. Deviation .83751 .76301 Most Extreme Differences Absolute .187 .226 Positive .150 .171 Negative -.187 -.226 Test Statistic .187 .226 Asymp. Sig. (2-tailed) .200c,d .157c From these tests, the significance value of Asymp was obtained. Sig. (2-tailed) pretest 0.200 and post-test 0.157, the value is greater than 0.05 or 0.200 > 0.05 and 0.157 > 0.05, meaning that the data can be drawn conclusion that all data are normally distributed. 3. Homogeneity Test Table 3. Homogeneity Test One-Sample Test Test Value = 0 t df Sig. (2- tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper VO2max 49.668 9 .000 11.98400 11.4382 12.5298 From the data above, the Sig value of 0.000 <0.05 means that it can be concluded that the population is homogeneous. 4. Hypothesis Test Hypothesis testing is an inferential statistical calculation that has the intention of drawing conclusions about a population based on data obtained from the population sample. Table 4. Hypothesis Test Symmetric Measures Value Asymptotic Standard Errora Approximate Tb Approximate Significance Interval by Interval Pearson's R .980 .010 14.083 .000c Ordinal by Ordinal Spearman Correlation .888 .126 5.449 .001c N of Valid Cases 10 From the data in table 4. With the Pearson formula, a significance value of 0.000 is obtained, meaning 0.000 <0.05, it can be concluded that the ABC Running Drill exercise using a Training Mask has a significant effect on increasing vo2max in the Athletic Student Activity Unit STKIP Muhammadiyah Kuningan. CONCLUSION Based on the research data obtained, it can be concluded that the ABC Running Drill exercise using a Training Mask can increase VO2max in beginner athletic athletes who are members of the Athletic Student Activity Unit STKIP Muhammadiyah Kuningan ACKNLOWLEDGEMENT The author thanks for Kementerian Pendidikan Kebudayaan Riset dan Teknologi who have supported the funding of research activities carried out by researchers by providing research grants to the scheme Gladi Jurnal Ilmu Keolahragaan, 12 (05), December- 402 Dicky Reva Apriana Sanga Dwi, Budi, Boby Agustan Penelitian Dosen Pemula (PDP). and STKIP Muhammadiyah Kuningan who have fully supported this activity. REFERENCES Bennett, H., Parfitt, G., Davison, K., & Eston, R. (2016). Validity of Submaximal Step Tests to Estimate Maximal Oxygen Uptake in Healthy Adults. Sports medicine (Auckland, N.Z.), 46(5), 737–750. https://doi.org/10.1007/s40279-015- 0445-1 Biggs, N. C., England, B. S., Turcotte, N. J., Cook, M. R., & Williams, A. L. (2017). Effects of Simulated Altitude on Maximal Oxygen Uptake and Inspiratory Fitness. International journal of exercise science, 10(1), 127–136. Dwi, D. R. A. S., Asmawi, M., Wasan, A., & Widiastuti, W. (2018). Pengaruh Metode Latihan Dan Power Tungkai Terhadap Peningkatan Kecepatan Akselerasi Sprint. JUARA : Jurnal Olahraga, 3(2), 62-69. https://doi.org/10.33222/juara.v3i2.23 6 Gall, M. D., Borg, W. R., & Gall, J. P. (1996). Educational research introduction (6th ed.). White Plains, NY: Longman Publishers USA. George, D., & Mallery, P. (2019). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge. Porcari, J. P., Probst, L., Forrester, K., Doberstein, S., Foster, C., Cress, M. L., & Schmidt, K. (2016). Effect of Wearing the Elevation Training Mask on Aerobic Capacity, Lung Function, and Hematological Variables. Journal of sports science & medicine, 15(2), 379–386. Setyantoko, M., Widiastuti, W., & Hernawan, H. (2019). The Game- Based ABC Running Exercise Model for Children Ages 6-12 Years. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal, 2(3), 506-518. Shete, A. N., Bute, S. S., & Deshmukh, P. R. (2014). A Study of VO2 Max and Body Fat Percentage in Female Athletes. Journal of clinical and diagnostic research : JCDR, 8(12), BC01–BC3. https://doi.org/10.7860/JCDR/2014/1 0896.5329 Støa, E. M., Støren, Ø., Enoksen, E., & Ingjer, F. (2010). Percent utilization of VO2 max at 5- km competition velocity does not determine time performance at 5 km among elite distance runners. Journal of strength and conditioning research, 24(5), 1340–1345. https://doi.org/10.1519/JSC.0b013e31 81cc5f7b Wilkerson, G. B., Gupta, A., Allen, J. R., Keith, C. M. & Colston, M. A. Utilisation of Pratice Session Average Inertial Load to Quantify College Football Injury Risk. Journal of strength and conditioning research, vol.30, pp.2369-2374, 20 https://doi.org/10.1007/s40279-015-0445-1 https://doi.org/10.1007/s40279-015-0445-1 https://doi.org/10.33222/juara.v3i2.236 https://doi.org/10.33222/juara.v3i2.236 https://doi.org/10.7860/JCDR/2014/10896.5329 https://doi.org/10.7860/JCDR/2014/10896.5329 https://doi.org/10.1519/JSC.0b013e3181cc5f7b https://doi.org/10.1519/JSC.0b013e3181cc5f7b