Implementasi Algoritma Naive Bayes Dalam Penentuan Bonus Karyawan

Wulan Dari

doi:10.59581/jkts-widyakarya.v2i3.3561

Authors

Wulan Dari Universitas Potensi Utama

DOI:

https://doi.org/10.59581/jkts-widyakarya.v2i3.3561

Keywords:

Employees, Naive Bayes Algorithm

Abstract

. CV. Aneka Kaca is a company engaged in the supply of the best glass materials, because CV. Aneka Kaca is a direct distributor from Japan. In a company like CV. Aneka Kaca, employees are one of the important assets in helping to improve and stabilize the company. Employees are people who work in a company or agency to carry out an operational task and expect remuneration in the form of a commission or salary. Usually employees will also get bonuses from the company. Bonuses that will be received by employees are one of the ways companies use to increase the motivation of their employees' performance. But giving bonuses to CV. Aneka Kaca still uses the conventional method, so it can take a long time if only managers do the math. The determination of bonuses can sometimes be missed due to one or two problems that can have an impact on awarding bonuses. The Naive Bayes algorithm is a simple probabilistic classifier that computes a probabilistic set by summing the frequencies and value combinations from a given dataset.

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