Data Mining for Indonesian National Football team: Data mining for Indonesian National Football Team

Luki Ardiantoro; Ronny Makhfuddin Akbar; Yanuarini Nur Sukmaningtyas

doi:10.35335/mandiri.v12i2.243

Authors

Luki Ardiantoro Majapahit Islamic University, Mojokerto, Indonesia
R. Makhfuddin Majapahit Islamic University, Mojokerto, Indonesia
Yanuarini NS Majapahit Islamic University, Mojokerto, Indonesia

DOI:

https://doi.org/10.35335/mandiri.v12i2.243

Keywords:

Data Mining, Football, FP-Growth, Playing Pattern

Abstract

The Indonesian national football team is controlled by the Indonesian Football Association, which is a member of FIFA and also a member of the AFC. The current coach of the Indonesian national team is Shin Tae-yong (STY), a former South Korean soccer player. In this study, the researcher intends to examine, study and obtain an overview of the game patterns, tactics and game strategies carried out by STY against the Indonesian national team. The goal to be achieved is gained of tactics and strategies for local coaches in the future. FP Growth algorithm was used for this research. Method to analyze match videos and record them in the form of statistical data in a set of data tupples (rows/records) for a particular match session was used. Then normalize the data, by forming a series of pattern numbers as a representation of the direction of attack in certain situation. The data set is formed with one set per round. As conclusion, data mining can be used to provide an overview of the national team's playing pattern. Thus, it makes it easier for coaches to determine the right strategy to beat opponents.

References

Akbar, M. A., Fatimah, F., & Jaenudin, J. (2019). Penerapan Data Mining Untuk Pengelompokan Posisi Pemain Sepak Bola Menggunakan Algoritma K-Means Clustering. Semnati 2019, x, No.x(x), 1278–1282.

Andry, J. F., Riama, S., & Yefta, V. N. (2023). Analysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining Methods. Journal of Computer Science, 19(2), 286–294. https://doi.org/10.3844/JCSSP.2023.286.294

Ardiantoro, L., & Sunarmi, N. (2020). Badminton player scouting analysis using Frequent Pattern growth (FP-growth) algorithm. Journal of Physics: Conference Series, 1456(1). https://doi.org/10.1088/1742-6596/1456/1/012023

Ardiantoro, L., Sunarmi, N., & Z, S. (2019). Pemanfaatan Knowledge Data Discovery(KDD) Pada Pola Permainan Atlet Bulutangkis. Explore IT : Jurnal Keilmuan Dan Aplikasi Teknik Informatika, 11(1), 1–6. https://doi.org/10.35891/explorit.v11i1.1467

Bompa, T. O., & Haff, G. G. (2019). Periodization: Theory and Methodology of Training, 6th Edition. In Medicine & Science in Sports & Exercise (Vol. 51, Issue 4). https://doi.org/10.1249/01.mss.0000554581.71065.23

Che Mohd Rosli, C. M. F., Saringat, M. Z., Razali, N., & Mustapha, A. (2018). A Comparative Study of Data Mining Techniques on Football Match Prediction. Journal of Physics: Conference Series, 1020(1). https://doi.org/10.1088/1742-6596/1020/1/012003

Han, J., Kamber, M., & Pe, J. (2011). Data Mining: Concepts and Techniques. In Data Mining: Concepts and Techniques. https://doi.org/10.1016/C2009-0-61819-5

Han, X., Liu, X., Chen, J., Lai, G., Gao, H., & Li, J. (2019). Efficiently Mining Frequent Itemsets on Massive Data. IEEE Access, 7(c), 31409–31421. https://doi.org/10.1109/ACCESS.2019.2902602

Kamber, M., & Han, J. (2018). Data Mining: Concepts and Techniques : Concepts and Techniques. In The Fundamentals of Political Science Research.

Khajuria, R., Sharma, A., Sharma, S., Sharma, A., Baliya, J. N., & Singh, P. (2023). Performance analysis of frequent pattern mining algorithm on different real-life dataset. Indonesian Journal of Electrical Engineering and Computer Science, 29(3), 1355–1363. https://doi.org/10.11591/ijeecs.v29.i3.pp1355-1363

Kröckel, P. (2019). Big Data Event Analytics in Football for Tactical Decision Support [der Friedrich-Alexander-Universität]. https://opus4.kobv.de/opus4-fau/frontdoor/deliver/index/docId/12365/file/Kröckel+Diss.pdf

Kröckel, P., & Bodendorf, F. (2020). Process Mining of Football Event Data: A Novel Approach for Tactical Insights Into the Game. Frontiers in Artificial Intelligence, 3(July), 1–16. https://doi.org/10.3389/frai.2020.00047

Ladha, L., & Deepa, T. (2011). Feature Selection Methods and Algorithms. International Journal on Computer Science and Engineering (IJCSE), 3(5), 1787–1797. https://doi.org/10.1016/s0007-1226(78)90078-4

Larose, D. T., & Larose, C. D. (2014). Discovering Knowledge in Data. In Discovering Knowledge in Data. https://doi.org/10.1002/9781118874059

Nurasiah. (2021). Implementasi Algoritma FP-Growth Pada Pengenalan Pola Penjualan. TIN : Terapan Informatika Nusantara, 1(9), 438–444.

Shcherbak, T., Popovych, I., Kariyev, A., Duisenbayeva, A., Huzar, V., Hoian, I., & Kyrychenko, K. (2023). Psychological causes of fatigue in football players. Journal of Physical Education and Sport, 23(8), 2193–2202. https://doi.org/10.7752/jpes.2023.08251

Syaifuddin, A., Harianto, R. A., & Santoso, J. (2020). Analisis Trending Topik untuk Percakapan Media Sosial dengan Menggunakan Topic Modelling Berbasis Algoritme LDA. INSYST: Journal of Intelligent System and Computation, 2(1), 12–19. https://doi.org/10.52985/INSYST.V2I1.150

Tahir, M., & Sitompul, N. (2021). Penerapan Algoritma Fp-Growth Dalam Menentukan Kecenderungan Mahasiswa Mengambil Mata Kuliah Pilihan. Network Engineering Research Operation, 6(1), 59. https://doi.org/10.21107/nero.v6i1.216

Tandian, C., Laia, Y., & Saputra, A. (2019). Penerapan Data Mining Dalam Memprediksi Pemenang Klub Sepak Bola Pada Ajang Liga Champion Dengan Algoritma C.45. Jurnal Sistem Informasi Dan Ilmu Komputer Prima(JUSIKOM PRIMA), 2(2), 91–98. https://doi.org/10.34012/jusikom.v2i2.397

Yudha, Y. N., Winarso, D., & syahril. (2021). Analisis Sentimen Masyarakat Pada Twiter Terhadap Isu Covid-19 Menggunakan Metode Lexicon Based. JURNAL FASILKOM (Teknologi InFormASi Dan ILmu KOMputer), 11(2), 97–103. https://doi.org/10.37859/JF.V11I2.2772

Yudho Ardianto, M., & Adinugroho, S. (2021). Penentuan Tata Letak Produk menggunakan Algoritma FP-Growth pada Toko ATK. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 5(9), 3826–3832. http://j-ptiik.ub.ac.id

Data Mining for Indonesian National Football team