Application of Naive Bayes Algorithm for Physical Fitness Level Classification

Yıl 2024, Cilt: 7 Sayı: 1, 178 - 187, 25.01.2024

Erick Burhaeın , Akhmad Fadjerı , Ibnu Prasetyo Widiyono

https://doi.org/10.33438/ijdshs.1330745

Cited By: 3

Öz

The implementation of physical fitness tests requires adequate facilities, so technology is needed to make it easier without having to provide facilities. The purpose of this study is to make it easier to get the results of a person's physical fitness level using age, gender, height and weight data through an intelligent system using the naïve Bayes algorithm without having to do a physical fitness test. This research is included in the Experimental research. The method used in this study used machine learning and classification with the naïve Bayes algorithm. Data analysis techniques use probability by using data tests and evaluations. The evaluation used uses accuracy. The population in this study was 100 college students. Training model scheme 98 and test 2 get an accuracy value when training is 100%, on testing an accuracy value of 50%. The best model is used as a reference in predicting new data, using 5 new data where 3 data already know the VO2Max value with the same prediction value and actual value, then 2 new data are not yet known VO2Max value, the 4th data gets a value of 44.2 and the 5th data gets a value of 33.2. The results of VO2Max testing using the naïve Bayes algorithm are declared accountable. Contribution to future research is to multiply research datasets to improve accuracy and improve user interface quality through development research.

Anahtar Kelimeler

Bayes Algorithm, Physical Fitness, Sport Technology, Vo2Max

Kaynakça

• Armstrong, J.S. (2001). Evaluating Forecasting Methods. Springer Science+Business Media New York, 443-472. [CrossRef]
• Borror, A., Mazzoleni, M., Coppock, J., Jensen, B. C., Wood, W. A., & Battaglini, C. L. (2019). Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network. 11(1);60–68. [CrossRef]
• Burhaein, E. (2022). Is There Student Anxiety in Physical Education Learning during the COVID-19 Pandemic in Indonesia? JUMORA J. Moderasi Olahraga, 2(1). [CrossRef]
• Burhaein, E., Demirci, N., Lourenço, C. C. V., Németh, Z., & Phytanza, D. T. P. (2021). Coping with the COVID-19 pandemic: the role of physical activity: An international position statement. International Sports Studies, 43(1). [CrossRef]
• Burhaein, E., Tarigan, B., Budiana, D., Hendrayana, Y., Phytanza, D. T. P., Demirci, N., Fradelos, E. C., Lourenço, C., & Nikšić, E. (2021). Instrument physical activity questionnaire-disability (IPAQ-D) observe test for disabilities during Covid-19: Study of validity and reliability in 5 countries. Sport Science, 15(1), 13–20.
• Catur, D., & Mujiriah, B. (2021). Survey of Physical Fitness Levels of Badminton Athletes in Binjai City, Indonesia. JUMORA: Jurnal Moderasi Olahraga, 1(2), 84–94.
• Cristina, A., Garcia, B., Gomes, M., Garcia, P., & Rigobon, R. (2023). Algorithmic discrimination in the credit domain : what do we know about it ? In AI & SOCIETY. Springer London. [CrossRef]
• Diseases, T. M., Device, D., Raspberry, U., Convolutional, D., Networks, N., Emebo, O., & Fori, B. (2018). The diagnose of oil palm disease using Naive Bayes Method based on Expert System Technology The diagnose of oil palm disease using Naive Bayes Method based on Expert System Technology. [CrossRef]
• Fadjeri, A., Setyanto, A., & Kurniawan, M. P. (2020). Pengolahan Citra Digital Untuk Menghitung Ekstrasi Ciri Greenbean Kopi Robusta Dan Arabika (Studi Kasus: Kopi Temanggung). Jurnal Teknologi Informasi Dan Komunikasi (TIKomSiN), 8(1), 8–13. [CrossRef]
• Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learningtle. In Universitas Michigan: Addison-Wesley Publishing Company : Addison-Wesley Publishing Company. Hill, R. K. (2015). What an Algorithm Is. [CrossRef]
• Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2023). Adopting AI : how familiarity breeds both trust and contempt. Aı & Society, 0123456789. [PubMed]
• Ilham Insani, M., Alamsyah, A., & Putra, A. T. (2018). Implementation of Expert System for Diabetes Diseases using Naïve Bayes and Certainty Factor Methods. Scientific Journal of Informatics, 5(2), 185–193. [CrossRef]
• Insani, M. I., & Putra, A. T. (2018). Implementation of Expert System for Diabetes Diseases using Naïve Bayes and Certainty Factor Methods. 5(2), 185–193. [CrossRef]
• Jamaaluddin & Sulistyowati, indah. (2021). Buku Ajar Mata Kuliah Kecerdasan Buatan (Artificial Intelligence ) (1st ed.).
• Jamaaluddin, & Sulistyowati, I. (2021). Buku Ajar Kecerdasarn Buatan (artificial intelligence) (1st ed.). Umsida Press.
• Jannah, A. M., Kushartanti, B. M. W., Rismayanthi, C., Rahman, A., Burhaein, E., & Phytanza, D. T. P. (2021). Development Of Hockey Game-Based Recovery Model. Sport Science, 15(1). [CrossRef]
• Knuth, D.E. (1977). Algorithms. Scientific American, a Division of Nature America, Inc., 236 no 4, 63–81.
• Li, Y. (2023). Key Technologies of Financial Digital Industry Innovation and Green Development Driven by Information Technology. International Journal of Computational Intelligence Systems, 1. [CrossRef]
• Phytanza, D. T. P., Burhaeın, E., Lourenço, C. C. V., & Pavlovıc, R. (2023). Physical activity based on manipulative exercise: how it affects the gross motor of children with autism for 12 years old? International Journal of Disabilities Sports and Health Sciences, 6(2), 171–180. [CrossRef]
• Prasetya, M. R. A. (2021). Comparison Of Achievement Sport Systems Between Indonesia And China. JUMORA: Jurnal Moderasi Olahraga, 1(02), 56–62. [CrossRef]
• Purwanto, S., & Burhaein, E. (2021). The sports development program at the indonesia karate sport federation (FORKI) in the DIY province of Indonesia. Sport Science, 15(1), 77–85.
• Santra, A. K., & Christy, C. J. (2012). Genetic Algorithm and Confusion Matrix for Document Clustering 1. 9(1), 322–328.
• Singh, L.S., Pungding, L., Singh, W.J. and Bjelica, B. (2022). Effect of Skipping Rope Training on Resting Heart Rate and Cardiorespiratory Endurance Among Soccer Players. JUMORA: Jurnal Moderasi Olahraga, 2(2), 115–124. [CrossRef]
• Susanto, R., Afandi, A., & Irmawati, F. (2022a). The Effectiveness of Flipbook Learning in Sports Physiology Courses Improves Student Achievement In the course of the Pandemic. JUMORA: Jurnal Moderasi Olahraga, 2(1), 67–76. [CrossRef]
• Susanto, R., Afandi, A., & Irmawati, F. (2022b). The Effectiveness of Flipbook Learning in Sports Physiology Courses Improves Student Achievement In the course of the Pandemic. JUMORA: Jurnal Moderasi Olahraga, 2(1), 67–76. [CrossRef]
• Syahri, M., Syafrina, R., Anggi, T., Novita, N., & Nurkadri, N. (2023). Student Perceptions of Scientific Journals for Sports Science Students in 2022. JUMORA: Jurnal Moderasi Olahraga,3(1), 26–37. [CrossRef]
• Wibawa, A.P., M.G.A., Akbar, F.A.D. (2018). Metode-metode Klasifikasi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 3(1), 134.
• Winata, D. C., & Mujirah, B. (2021). Survey of Physical Fitness Levels of Badminton Athletes in Binjai City, Indonesia. JUMORA: Jurnal Moderasi Olahraga, 1(02), 84–94. [CrossRef]
• Wood, R. (2023, November 25). 20m Multistage Fitness Test (Beep Test) Instructions. Https://Www.Topendsports.Com/Testing/Tests/20mshuttle.Htm.
• Woollam, M., Angarita-rivera, P., Behar, J. A., Liu, C., Wu, K., & Jelfs, B. (2020). Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier. [CrossRef]
• Zignoli, A., Fornasiero, A., Rota, P., Muollo, V., & Low, D. A. (2020). Oxynet : a collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests. European Journal of Sport Science, 0, 1–38. [CrossRef]