Skripsi

KLASIFIKASI KARAKTERISTIK TURNOVER KARYAWAN MENGGUNAKAN ALGORITMA C4.5

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Turnover is an act or behavior of leaving or leaving employees from an organization or company. Turnover can have a negative impact on the company such as delayed projects and targets, team dissolution, and lack of Human Resources (HR). The high turnover rate will also affect the motivation and morale of employees who remain in the company. The purpose of the study is to determine the main factors of characteristics that have a significant effect on employee turnover. The research was conducted by managing employee turnover data using classification data mining techniques and applying the C4.5 algorithm. The modeling results produce decision trees and rules in determining employees who will turnover. The results showed that there are 8 attributes that significantly affect employee turnover, namely Age, Monthly Billing, Monthly Rate, OverTime, YearsAtCompany, YearsInCurrentRole, YearsLastPromotion,and DistanceFrom Home. The model produced in the study has an accuracy of 81.63%. Keywords: Datamining, Decission tree, Clasification, C4.5 algorithm, Turnover

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Availability

Detail Information

Series Title

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Call Number

T1631322024

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xvii, 36 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.107

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Sistem Informasi
Identifikasi Sistem

Specific Detail Info

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Statement of Responsibility

MURZ

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