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Supervised Machine Learning Model : Improving Employee Retention by Predicting Employee Attrition

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Improving Employee Retention by Predicting Employee Attrition

Supervised Machine Learning Model: Classification

employee

Human Resources are the most important asset for a company so accuracy is needed in managing them. The company is currently experiencing big problems, many employees have submitted their resignations but the company has not yet decided on this matter. In this case, we will help the company to explain the current condition of its employees, as well as explore the problems within the company that cause employees to resign so that they can reduce the rate of employee resignations, and outline a strategy that can increase employee retention.

Points to Analyze

  • Annual Report on Employee Number Changes
  • Resign Reason Analysis For Employee Attrition Management Strategy
  • Build an Automation Resignation Behavior Prediction Using Machine Learning

Data Overview

Feature Name Description
Username Username
EnterpriseID Employee's ID
StatusPernikahan Marital Status
JenisKelamin Gender
StatusKepegawaian Employment Status
Pekerjaan Job Position
JenjangKarir Career Level
PerformancePegawai Employee Performance
AsalDaerah City of origin
HiringPlatform Hiring Platform
SkorSurveyEngagement Engagement Survey Score
SkorKepuasanPegawai Employee's Satisfaction Score
JumlahKeikutsertaanProjek Number of Projects that Employee Has been Involved
JumlahKeterlambatanSebulanTerakhir Number of late days in the last month
JumlahKetidakhadiran Number of absence
NomorHP Phone number
Email Email
TingkatPendidikan Education Level
PernahBekerja Working History (Booleah: Yes or No)
IkutProgramLOP Join LOP Program? (Boolean: Yes or No)
AlasanResign Resign Reason
TanggalLahir Birthday
TanggalHiring Hired Date
TanggalPenilaianKaryawan Emploee Evaluation Date
TanggalResign Resigned Date

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Supervised Machine Learning Model : Improving Employee Retention by Predicting Employee Attrition

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