KLASIFIKASI KARAKTERISTIK TURNOVER KARYAWAN MENGGUNAKAN ALGORITMA C4.5

ANDINI, RANY and Hardiyanti, Dinna Yunika (2024) KLASIFIKASI KARAKTERISTIK TURNOVER KARYAWAN MENGGUNAKAN ALGORITMA C4.5. Undergraduate thesis, Universitas Sriwijaya.

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Abstract

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

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Datamining, Decission tree, Clasification, C4.5 algorithm, Turnover
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Rany Andini
Date Deposited:	08 Jan 2025 07:40
Last Modified:	08 Jan 2025 07:40
URI:	http://repository.unsri.ac.id/id/eprint/163132

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