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PENERAPAN ALGORITMA C4.5 UNTUK PREDIKSI TINGKAT KOMPETENSI KARYAWAN PT MULTISTRADA ARAH SARANA

Joutica

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Title PENERAPAN ALGORITMA C4.5 UNTUK PREDIKSI TINGKAT KOMPETENSI KARYAWAN PT MULTISTRADA ARAH SARANA
 
Creator Wahyono, Wahyono
Nugroho, Agung
 
Subject Data Mining
Competence, Data mining, Algorithm C4.5, RapidMiner
 
Description The success of an organization or company is influenced by the competence of human resources in it in carrying out its duties. Assessment of competence in the company is very important because it is necessary to determine the level of competence of employees. So far, the competency level assessment is still done manually by providing certain criteria by the Personnel Department (HRD). The number of criteria and employees employed is quite difficult in the assessment of employee competency. In addition, the quality of employee work is also often changing. This is very influential on the future prospects of the company. The purpose of this study is to analyze and know the pattern of employee competency level. The research method used is Decission Tree Learning (DCT). The C4.5 algorithm is part of DCT. Algorithm C4.5, the data mining technique to create a decision tree that represents rules or rules. Of the 257 overall employee data is divided into two partitions, 80% for training data and 20% data testing. The result of application of algorithm C4.5 got its accuracy 80,39% with calculation of RapidMiner 5.3. This research produces a pattern of competency level that can be used by PT Multistrada Arah Sarana for employee monitoring process to determine whether or not to need training or promotion promotion
 
Publisher Universitas Islam Lamongan
 
Contributor —
 
Date 2018-04-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/201
10.30736/jti.v3i1.201
 
Source Jouticla; Vol 3, No 1 (2018); 145-150
Joutica; Vol 3, No 1 (2018); 145-150
2621-511X
2503-071X
10.30736/jti.v3i1
 
Language ind
 
Relation https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/201/132
 
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