PREDIKSI KINERJA PEGAWAI BERDASARKAN NILAI ENVIRONMENTAL PERFORMANCE RATING (EPR) MENGGUNAKAN ALGORITMA C4.5
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
SIMANJUNTAK, HESTI FLORENCIA
Palupiningsih, Pritasari
Affandi, Riki Ruli
Palupiningsih, Pritasari
Affandi, Riki Ruli
Subject
Teknik Informatika
Datestamp
2022-09-21 03:55:03
Abstract :
The purpose of this study is to conduct a work assessment selection at PT Garuda Indonesia (Persero) Tbk. This research was conducted because at the moment the determination of the criteria is still based on subjective assessments by Human Resource Development because of the need for a projection or prediction in the determination of employees at PT Garuda to get good performance scores. This research was conducted by predicting employee performance based on Environmental Performance Rating (EPR) values so as to provide an effective and efficient time for making employee performance appraisal decisions. This C4.5 algorithm uses data mining techniques to process data as many as 1194 data records in which C4.5 will determine data by performance appraisal based on each of its attributes namely gender, epr1, epr2, epr3, epr4. By using confusion matrix validation training data with a total of 14 sample data get an accuracy value of 83%. This C4.5 method is also used to determine the employee monitoring process and the determination of salary increase or promotion promotions.
The purpose of this study is to conduct a work assessment selection at PT Garuda Indonesia (Persero) Tbk. This research was conducted because at the moment the determination of the criteria is still based on subjective assessments by Human Resource Development because of the need for a projection or prediction in the determination of employees at PT Garuda to get good performance scores. This research was conducted by predicting employee performance based on Environmental Performance Rating (EPR) values so as to provide an effective and efficient time for making employee performance appraisal decisions. This C4.5 algorithm uses data mining techniques to process data as many as 1194 data records in which C4.5 will determine data by performance appraisal based on each of its attributes namely gender, epr1, epr2, epr3, epr4. By using confusion matrix validation training data with a total of 14 sample data get an accuracy value of 83%. This C4.5 method is also used to determine the employee monitoring process and the determination of salary increase or promotion promotions.
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