Tree Algorithm Model on Size Classification Data Mining

Tree Algorithm Model on Size Classification Data Mining

classification; data mining; decision tree

The goal of this research is to use a tree algorithm to categorize student clothing in order to acquire an accurate size. This
research is qualitative approach through descriptive analysis, while the analysis employed C.45 Tree algorithm classification.
Manual calculations utilizing the tree algorithm formula revealed that the majority of students require XL-sized clothing. On
the X5 (Shoulder length) characteristic, the maximum entropy and information gain values were obtained at 0.212642462.
According to the forecast, the shoulder length attribute is the first calculation in developing a decision tree scheme since it has
the largest entropy and information gain value. Lastly, the findings of this study analysis can be used as a mapping prediction
to make decisions on the size of the student group's clothing

Agis Abhi Rafdhi, Eddy Soeryanto Soegoto, Senny Luckyardi, Chepi Nur Albar

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

August 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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