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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Chepi Nur Albar
Universitas Komputer Indonesia
Computer Science & IT Engineering

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Tree Algorithm Model on Size Classification Data Mining Agis Abhi Rafdhi; Eddy Soeryanto Soegoto; Senny Luckyardi; Chepi Nur Albar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.4572

Abstract

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 through descriptive analysis, while the analysis used C.45 tree algorithm classification. Manual calculations utilizing the tree algorithm formula revealed that most students require XL-sized clothing. On the characteristic of X5 (length of the shoulder), 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 the value of information gain. 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.
Co-Authors Agis Abhi Rafdhi Eddy Soeryanto Soegoto Senny Luckyardi