Penerapan Particle Swarm Optimization pada Algoritma C 4.5 Untuk Seleksi Penerimaan Karyawan

Penerapan Particle Swarm Optimization pada Algoritma C 4.5 Untuk Seleksi Penerimaan Karyawan

• By Agus Wiyatno;
• Jurnal Teknik Komputer
• 167
• 54-61

The Employees are the most vital element of the company as they had a big contribution and involved almost for all
section on how the company will go up and down. Employees and the company affect the efficiency, effectiveness,
designing, producing goods and services, oversee the quality, market products, allocating financial resources, and
determines the overall goals and strategies of the organization. Therefore, organizations need accurate information
and sustainable in order to get suitable candidates with the qualifications of the organization. Model algorithms are
widely used in research related to the employee is C4.5 decision tree classification model. Advantages of using a
decision tree classification models are the result of the decision tree is simple and easy to understand. Many studies
using the method of decision tree and classification tree in predicting the employees selection but results the
accuracy of the resulting value is less accurate. In this study created a C 4.5 Algorithm model and C 4.5 Algorithm
model based on particle swarm optimization to get the rule in employees selection and provide a more accurate
value of accuracy. After testing C 4.5 algorithm model based on particle swarm optimization, Implementation of
particle swarm optimization can produce accuracy value of C 4.5 algorithm model from 80.80 % to 85.20 % and the
AUC value from 0.878 to 0.891. By the formation the model selection of employees, the company can be helped for
employee selection.

• Katakunci Seleksi Karyawan, Algoritma C 4.5, Particle Swarm Optimization
• URL http://journal.thamrin.ac.id/index.php/jtik/article/view/200/pdf
• Penerbit ,

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