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Predicting Relegation Clubs in Italian Serie A with method based C4.5 Decision Tree Algorithm
Eko Wahyudi (a*), Windu Gata (b*), Hermanto Wahono (c*), Nugroho Irawan Febianto (d*), Antonius Yadi Kuntoro (e*), Ridatu Oca Nitra (f*), Lasman Effendi (g*), Dedi Dwi Saputra (h*), Ferry Syukmana (i*), Okky Robiana Sulaeman (j*)

a) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002175[at]nusamandiri.ac.id
b) Graduate School Master Degree Computer Science, STMIK Nusa Mandiri, Jakarta Indonesia
*windu.gata[at]gmail.com
c) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002163[at]nusamandiri.ac.id
d) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002181[at]nusamandiri.ac.id
e) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*antonius.aio[at]nusamandiri.ac.id
f) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002171[at]nusamandiri.ac.id
g) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002172[at]nusamandiri.ac.id
h) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002190[at]nusamandiri.ac.id
i) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002191[at]nusamandiri.ac.id
j) Master of Computer Science Postgraduate Program, STMIK Nusa Mandiri, Jakarta Indonesia
*14002178[at]nusamandiri.ac.id


Abstract

The purpose of this study is to help small clubs from Italian Serie A for finding the minimum targets to avoid relegation into Serie B competition (under the Serie A league). Relegation will reduce club income from TV revenues and the decline of enthusiastic supporters. Based on the data from final standings (seasons 2006 until 2018), this can be explained by the Decision Tree method using the C4.5 algorithm. The methods that used in this study are data collection, data pre-processing, model proposal, model testing, and model validation. In this study, it is expected the value of accuracy exceeds 85% to achieve a good classification.

Keywords: C4.5 Algorithm, Decision Tree, Relegation, Prediction, Football

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/bqm6KUQYr2wB

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Eko Wahyudi)

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