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The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick

Year 2024, Volume: 7 Issue: 5, 1172 - 1179, 25.09.2024
https://doi.org/10.33438/ijdshs.1509227

Abstract

The importance of data accuracy in the implementation of long-distance kicking tests as basic data for coaches requires adequate facilities and requires large costs, so technology is needed for facility and budget efficiency. The purpose of this research is to determine the accuracy of expert system training data using the Naive Bayes algorithm to measure the distance of a ball kick. The research design used is a quantitative method with an experimental model. The type of experimental design is pre-experimental design. Participants amounted to 100 male soccer players with saturated sample technique. The instruments were question forms to obtain information on gender and age, while to measure leg muscle strength and leg muscle strength using a tape roll meter and leg dynamometer. Data validity uses calibrated tools. The data analysis technique uses probability (naive bayes) using data testing and evaluation. The results of the study obtained the accuracy level of the expert system training data using the naïve bayes algorithm with the best accuracy of 100%. There is a training data learning model used using the 99 scheme and test 1 and 98 and test 2. The conclusion is that the accuracy level of expert system training data using the naive bayes algorithm is declared to be accountable for use in classifying new data. The contribution for further research is testing using new data to determine the level of accuracy further to improve accuracy in learning training data.

References

  • Baker, B. S., Chen, Z., Larson, R. D., Bemben, M. G., & Bemben, D. A. (2022). Sex differences in bone density, geometry, and bone strength of competitive soccer players. Journal of Musculoskeletal and Neuronal Interactions. 20(1): 62–76. [CrossRef]
  • Bonicalzi, S., Caro, M., & Giovanola, B. (2023). Artificial Intelligence and Autonomy : On the Ethical Dimension of Recommender Systems. Topoi, 0123456789. 42, 819-842. [CrossRef]
  • Borror, A., Mazzoleni, M., Coppock, J., Jensen, B. C., Wood, W., & Battaglini, C. L. (2019). Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network. Biomedical Human Kinetics. 11, 60–68. [CrossRef]
  • Burhaein, E., Fadjeri, A., & Widiyono, I. P. (2023). Application of Naive Bayes Algorithm for Physical Fitness Level Classification. Int J Disabil Sports Health Sci, 7(July 2023), 178–187. [CrossRef]
  • Charntaweekhun, K., & Wangsiripitak, S. (2006). Visual programming using flowchart. 2006 International Symposium on Communications and Information Technologies, ISCIT, 200, 1062–1065. [CrossRef]
  • Debelee, T. G., Schwenker, F., Rahimeto, S., & Yohannes, D. (2019). Evaluation of modified adaptive k -means segmentation algorithm. Biomedical Signal rocessing and Control. 5(4), 347–361. [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. Journal of Physics. 4(2), 236-252. [CrossRef]
  • Fadjeri, A., Hidayat, K., & Handayani, D. R. (2021). Deteksi Emosi pada Teks menggunakan Algoritma Naïve Bayes. Jurnal Riset Teknologi Dan Komputer, 1(2), 1–4. [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 ]
  • Jibriel, K. (2013). Hubungan Panjang Tungkai, Kekuatan Otot Tungkai, Dan Kelentukan Pergelangan Kaki Terhadap Tendangan Jarak Jauh Pemain U-15 SSB Tunas Muda Banyubiru Kab. Semarang Tahun 2012. Master’s Thesis, Universitas Negeri Semarang State University, Institute of Sport, Semarang, 154p (in Indonesia).
  • Latuheru, R. V., Sudirman, & Imam Suyudi. (2022). Kontribusi Daya Ledak Tungkai Dan Kelentukan Togok Ke Belakang Terhadap Kemampuan Heading Dalam Permainan Sepakbola. Jurnal Dunia Pendidikan, 3(1), 54–66. [CrossRef]
  • Liao, S. H. (2005). Expert system methodologies and applications-a decade review from 1995 to 2004. Expert Systems with Applications, 28(1), 93–103. [CrossRef]
  • Mark S. Fox. (1990). AI and expert System myths, legends and fact.pdf. IEEE EXPERT, 5(1), 8-20. [CrossRef]
  • Millah, H., Mulyana, D., & Zimarna, A. (2022). Pengaruh Latihan Long Passing Menggunakan Alat Bantu Target Terhadap Ketepatan Long Passing dalam Permainan Sepak Bola. Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training), 6(1). [CrossRef]
  • Nggola, R. S., Said, H., Hidayat, J. T., & Ikhsan, H. (2018). Pengaruh Latihan Beban Karet Bekas untuk Meningkatkan Tendangan Pemain Sepakbola. Jambura Arena Sport. 1(1), 1-6. [CrossRef]
  • O’Keefe, R. M., & O’Leary, D. E. (1993). Expert system verification and validation: a survey and tutorial. Artificial Intelligence Review, 7(1), 3–42. [CrossRef]
  • Perdana, K. E. (2018). Sepakbola Sebagai Media Solidaritas Politik Bagi Supporter Indonesia. Jurnal Ilmu Politik dan Komunikasi, 8(2). 162-175 [CrossRef]
  • Pohan, Z. R. H., Idris, Muhd. N., Ramli, R., Anwar, A., & Paisal, J. (2023). Sejarah Peradaban Dan Masa Depan Kesadaran Manusia Pada Posisi Ontologis Kecerdasan Buatan (Artificial Intelligence) Dalam Perspektif Alquran: (Kajian Tafsir Ayat-Ayat Filosofis). Basha’ir: Jurnal Studi Al-Qur’an Dan Tafsir, 3(1), 29–38. [CrossRef]
  • Saputra, W. D., & Juita, A. (2022). Hubungan Kekuatan Otot Tungkai Dan Kecepatan Terhadap Kemampuan Shooting Dalam Permainan Sepakbola Pada Ssb Universitas Riau U-15. Jurnal Kejaora (Kesehatan Jasmani dan Olah Raga), 6(2), 24–33. [CrossRef]
  • Silahudin, D., Henderi, Holidin, A. (2020). Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier. Journal of Computer and Technologi Research, 4(1), 82-91. [CrossRef]
  • Sunardi, Yudhana, A., & Saifullah, S. (2017). Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept. International Journal of Electrical and Computer Engineering, 7(1), 200–208. [CrossRef]
  • Wibawa, A., Muhammad G. A. P, Muhammad F. A. (2018). Metode-metode Klasifikasi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 3(1), 134-142. [CrossRef]
  • Wicaksono, B. I. (2019). Sejarah Persepakbolaan Di Yogyakarta (1929-1943). Jurnal Pedagogi Olahraga dan Kesehatan, 5(2). 189-199. [CrossRef]. Yahya, Tohari., Ardian, C., Marta, D., Ade, J., Dima, D., & Satria, A. (2022). Hubungan Antara Daya Ledak Otot Tungkai Dan Panjang Tungkai Terhadap Hasil Tendangan Jarak Jauh Olahraga Sepakbola. Jurnal Kejaora (Kesehatan Jasmani dan Olah Raga), 7(1), 14–19. [CrossRef].
Year 2024, Volume: 7 Issue: 5, 1172 - 1179, 25.09.2024
https://doi.org/10.33438/ijdshs.1509227

Abstract

References

  • Baker, B. S., Chen, Z., Larson, R. D., Bemben, M. G., & Bemben, D. A. (2022). Sex differences in bone density, geometry, and bone strength of competitive soccer players. Journal of Musculoskeletal and Neuronal Interactions. 20(1): 62–76. [CrossRef]
  • Bonicalzi, S., Caro, M., & Giovanola, B. (2023). Artificial Intelligence and Autonomy : On the Ethical Dimension of Recommender Systems. Topoi, 0123456789. 42, 819-842. [CrossRef]
  • Borror, A., Mazzoleni, M., Coppock, J., Jensen, B. C., Wood, W., & Battaglini, C. L. (2019). Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network. Biomedical Human Kinetics. 11, 60–68. [CrossRef]
  • Burhaein, E., Fadjeri, A., & Widiyono, I. P. (2023). Application of Naive Bayes Algorithm for Physical Fitness Level Classification. Int J Disabil Sports Health Sci, 7(July 2023), 178–187. [CrossRef]
  • Charntaweekhun, K., & Wangsiripitak, S. (2006). Visual programming using flowchart. 2006 International Symposium on Communications and Information Technologies, ISCIT, 200, 1062–1065. [CrossRef]
  • Debelee, T. G., Schwenker, F., Rahimeto, S., & Yohannes, D. (2019). Evaluation of modified adaptive k -means segmentation algorithm. Biomedical Signal rocessing and Control. 5(4), 347–361. [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. Journal of Physics. 4(2), 236-252. [CrossRef]
  • Fadjeri, A., Hidayat, K., & Handayani, D. R. (2021). Deteksi Emosi pada Teks menggunakan Algoritma Naïve Bayes. Jurnal Riset Teknologi Dan Komputer, 1(2), 1–4. [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 ]
  • Jibriel, K. (2013). Hubungan Panjang Tungkai, Kekuatan Otot Tungkai, Dan Kelentukan Pergelangan Kaki Terhadap Tendangan Jarak Jauh Pemain U-15 SSB Tunas Muda Banyubiru Kab. Semarang Tahun 2012. Master’s Thesis, Universitas Negeri Semarang State University, Institute of Sport, Semarang, 154p (in Indonesia).
  • Latuheru, R. V., Sudirman, & Imam Suyudi. (2022). Kontribusi Daya Ledak Tungkai Dan Kelentukan Togok Ke Belakang Terhadap Kemampuan Heading Dalam Permainan Sepakbola. Jurnal Dunia Pendidikan, 3(1), 54–66. [CrossRef]
  • Liao, S. H. (2005). Expert system methodologies and applications-a decade review from 1995 to 2004. Expert Systems with Applications, 28(1), 93–103. [CrossRef]
  • Mark S. Fox. (1990). AI and expert System myths, legends and fact.pdf. IEEE EXPERT, 5(1), 8-20. [CrossRef]
  • Millah, H., Mulyana, D., & Zimarna, A. (2022). Pengaruh Latihan Long Passing Menggunakan Alat Bantu Target Terhadap Ketepatan Long Passing dalam Permainan Sepak Bola. Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training), 6(1). [CrossRef]
  • Nggola, R. S., Said, H., Hidayat, J. T., & Ikhsan, H. (2018). Pengaruh Latihan Beban Karet Bekas untuk Meningkatkan Tendangan Pemain Sepakbola. Jambura Arena Sport. 1(1), 1-6. [CrossRef]
  • O’Keefe, R. M., & O’Leary, D. E. (1993). Expert system verification and validation: a survey and tutorial. Artificial Intelligence Review, 7(1), 3–42. [CrossRef]
  • Perdana, K. E. (2018). Sepakbola Sebagai Media Solidaritas Politik Bagi Supporter Indonesia. Jurnal Ilmu Politik dan Komunikasi, 8(2). 162-175 [CrossRef]
  • Pohan, Z. R. H., Idris, Muhd. N., Ramli, R., Anwar, A., & Paisal, J. (2023). Sejarah Peradaban Dan Masa Depan Kesadaran Manusia Pada Posisi Ontologis Kecerdasan Buatan (Artificial Intelligence) Dalam Perspektif Alquran: (Kajian Tafsir Ayat-Ayat Filosofis). Basha’ir: Jurnal Studi Al-Qur’an Dan Tafsir, 3(1), 29–38. [CrossRef]
  • Saputra, W. D., & Juita, A. (2022). Hubungan Kekuatan Otot Tungkai Dan Kecepatan Terhadap Kemampuan Shooting Dalam Permainan Sepakbola Pada Ssb Universitas Riau U-15. Jurnal Kejaora (Kesehatan Jasmani dan Olah Raga), 6(2), 24–33. [CrossRef]
  • Silahudin, D., Henderi, Holidin, A. (2020). Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier. Journal of Computer and Technologi Research, 4(1), 82-91. [CrossRef]
  • Sunardi, Yudhana, A., & Saifullah, S. (2017). Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept. International Journal of Electrical and Computer Engineering, 7(1), 200–208. [CrossRef]
  • Wibawa, A., Muhammad G. A. P, Muhammad F. A. (2018). Metode-metode Klasifikasi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 3(1), 134-142. [CrossRef]
  • Wicaksono, B. I. (2019). Sejarah Persepakbolaan Di Yogyakarta (1929-1943). Jurnal Pedagogi Olahraga dan Kesehatan, 5(2). 189-199. [CrossRef]. Yahya, Tohari., Ardian, C., Marta, D., Ade, J., Dima, D., & Satria, A. (2022). Hubungan Antara Daya Ledak Otot Tungkai Dan Panjang Tungkai Terhadap Hasil Tendangan Jarak Jauh Olahraga Sepakbola. Jurnal Kejaora (Kesehatan Jasmani dan Olah Raga), 7(1), 14–19. [CrossRef].
There are 23 citations in total.

Details

Primary Language English
Subjects Sports Training
Journal Section Original Article
Authors

Yogi Ferdy Irawan 0009-0008-7709-9228

Ria Lumintuarso 0000-0001-8671-639X

Devi Tirtawirya 0009-0007-8689-2511

Akhmad Fadjerı 0000-0003-0195-6883

Ibnu Prasetyo Widiyono 0009-0006-3805-7231

Puspita Melati 0009-0004-9546-6395

Carla Cristina Vieira Lourenço 0000-0002-4128-069X

Early Pub Date September 7, 2024
Publication Date September 25, 2024
Submission Date July 2, 2024
Acceptance Date September 7, 2024
Published in Issue Year 2024 Volume: 7 Issue: 5

Cite

APA Irawan, Y. F., Lumintuarso, R., Tirtawirya, D., Fadjerı, A., et al. (2024). The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick. International Journal of Disabilities Sports and Health Sciences, 7(5), 1172-1179. https://doi.org/10.33438/ijdshs.1509227
AMA Irawan YF, Lumintuarso R, Tirtawirya D, Fadjerı A, Widiyono IP, Melati P, Lourenço CCV. The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick. International Journal of Disabilities Sports &Health Sciences. September 2024;7(5):1172-1179. doi:10.33438/ijdshs.1509227
Chicago Irawan, Yogi Ferdy, Ria Lumintuarso, Devi Tirtawirya, Akhmad Fadjerı, Ibnu Prasetyo Widiyono, Puspita Melati, and Carla Cristina Vieira Lourenço. “The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick”. International Journal of Disabilities Sports and Health Sciences 7, no. 5 (September 2024): 1172-79. https://doi.org/10.33438/ijdshs.1509227.
EndNote Irawan YF, Lumintuarso R, Tirtawirya D, Fadjerı A, Widiyono IP, Melati P, Lourenço CCV (September 1, 2024) The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick. International Journal of Disabilities Sports and Health Sciences 7 5 1172–1179.
IEEE Y. F. Irawan, “The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick”, International Journal of Disabilities Sports &Health Sciences, vol. 7, no. 5, pp. 1172–1179, 2024, doi: 10.33438/ijdshs.1509227.
ISNAD Irawan, Yogi Ferdy et al. “The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick”. International Journal of Disabilities Sports and Health Sciences 7/5 (September 2024), 1172-1179. https://doi.org/10.33438/ijdshs.1509227.
JAMA Irawan YF, Lumintuarso R, Tirtawirya D, Fadjerı A, Widiyono IP, Melati P, Lourenço CCV. The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick. International Journal of Disabilities Sports &Health Sciences. 2024;7:1172–1179.
MLA Irawan, Yogi Ferdy et al. “The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick”. International Journal of Disabilities Sports and Health Sciences, vol. 7, no. 5, 2024, pp. 1172-9, doi:10.33438/ijdshs.1509227.
Vancouver Irawan YF, Lumintuarso R, Tirtawirya D, Fadjerı A, Widiyono IP, Melati P, Lourenço CCV. The Level of Accuracy of the Expert System Training Data Uses the Naive Bayes Algorithm to Measure the Distance of A Ball Kick. International Journal of Disabilities Sports &Health Sciences. 2024;7(5):1172-9.


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