Jurnal Jaring SainTek
Vol. 4 No. 2 (2022): Oktober 2022

Sistem Penilaian Kinerja Karyawan PT Bank Syariah Indonesia Berbasis Website Menggunakan Algoritma Naive Bayes

Khoirul Azmi Mutawalli (Universitas Bhayangkara Jakarta Raya)
Adi Muhajirin (Universitas Bhayangkara Jakarta Raya)
Rafika Sari (Universitas Bhayangkara Jakarta Raya)

Article Info

Publish Date
31 Oct 2022

Abstract

This study focuses on developing an employee performance appraisal system that aims to evaluate employee performance at PT Bank Syariah Indonesia within the criteria set by the company aimed at classifying employee appraisals that can assist companies in classifying good or bad performance on the value of the employee. This method uses the nave Bayes classifier, a website-based employee performance appraisal system. The system will take the value of the criteria that have been set by the company such as: the value of neatness, loyalty, compliance, discipline, productivity and thoroughness. Based on the results of taking the value of these criteria, the system will issue an output that decides the classification of employees is classified as good or not good. Thus the system will determine whether the employee is good or bad.

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Journal Info
Jurnal Jaring SainTek
Website

Abbrev

jaring-saintek

Publisher

Universitas Bhayangkara Jakarta Raya

Subject

Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering

Description

Jurnal Jaring SainTek (JJST) merupakan merupakan jurnal ilmiah yang diterbitkan oleh Lembaga Penelitian, Pengabdian Masyarakat, dan Publikasi (LPPMP) Universitas Bhayangkara Jakarta Raya dan dikelola oleh Fakultas Teknik Universitas Bhayangkara Jakarta Raya. Jurnal Jaring SainTek (JJST) ini ...