Jurnal Informatika Teknologi dan Sains (Jinteks)
Vol 5 No 3 (2023): EDISI 17

APPLICATION OF DATA MINING USING NAIVE BAYES ALGORITHM FOR CLASSIFICATION OF EMPLOYEE CONTRACT EXTENSION AT PT TORINI JAYA ABADI

Winda Yulianti (Universitas Pelita Bangsa)
Wiyanto Wiyanto (Universitas Pelita Bangsa)
Nisa Nurhidayanti (Universitas Pelita Bangsa)



Article Info

Publish Date
26 Aug 2023

Abstract

An employment contract is an agreement made verbally or in writing between an employee and an employer, the working status of contract employees in a company is an important matter and needs to be considered in order to achieve company goals. PT Torini Jaya Abadi is a company that uses a work contract system. Every year there must be employees who are protected or their work contracts are terminated. In terms of determining whether an employee is strained or terminates his work contract, there are often difficulties in determining this. This is done to create a system that can help determine the extension of an employee's work contract by classifying it into the labels Extended and Disconnected which have 18 Variables for the process of assessing employees who will have problems or termination of employment contract. This system uses the Naïve Bayes method and is built using the Bootstrap programming language and MySQL database. The results of this study are a system that helps PT Torini Jaya Abadi in extending employee work contracts. Keywords : Employment Contract, Naïve Bayes algoritm, PHP MySQL

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Journal Info

Abbrev

JINTEKS

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Jurnal Informatika Teknologi dan Sains (JINTEKS) merupakan media publikasi yang dikelola oleh Program Studi Informatika, Fakultas Teknik dengan ruang lingkup publikasi terkait dengan tema tema riset sesuai dengan bidang keilmuan Informatika yang meliputi Algoritm, Software Enginering, Network & ...