Systemic: Information System and Informatics Journal
Vol. 6 No. 1 (2020): Agustus

Sistem Penunjang Keputusan Seleksi Atlet Berdasarkan Data Fisik Menggunakan Naïve Bayes

yosia halundaka (Universitas Narotama, Surabaya)
Din Syamsudin (Universitas Narotama, Surabaya)
Aryo Nugroho (Universitas Narotama, Surabaya)



Article Info

Publish Date
25 Jan 2021

Abstract

The purpose of this observation was to predict the passing rate of the physical test results of the participants of the martial arts athlete organized by KONI. The researchist made a classification based on data obtained from trainer of physical martial arts Kempo by using data mining. Data mining can be interpreted is a process extractcing new informartion was taken from big chunk of data for support the results of making decision support systems. Therefor using decision support systems which can help make a decision to choose the best athlet. In data mining there are many methods that can be used, one of them is the classification method by using alogarithms naive bayes. The results obtained from this observation is Correctly Classified Instances 94.4% with speed presentase 60% and 70% bring out Correctly Classified Instances 92.85%, while speed presentase 80% bring out Correctly Classified Instances 88.89%.

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Journal Info

Abbrev

SYSTEMIC

Publisher

Subject

Computer Science & IT

Description

SYSTEMIC (Information System and Informatic Journal) publishes articles on information technology from various perspectives, including literature studies, laboratory studies, and field studies. The journal prioritizes studies related to the theme: -Information System -IT Governance and Management ...