SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN CALON KARYAWAN MEKANIK DI CARFIX MENGGUNAKAN METODE NAÏVE BAYES

TitleSISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN CALON KARYAWAN MEKANIK DI CARFIX MENGGUNAKAN METODE NAÏVE BAYES
AuthorKrisna Murti Wirawan
AbstractCarfix Workshop is a car service repair shop located on Jalan Raya Wali Songo KM.11 No.203, Tugu, Semarang, Central Java. The workshop that serves all types of car brands is always crowded with customers who want their car repaired if the car has a problem. The Tugu branch Carfix workshop has 29 employees, namely 1 as the head of the workshop, 4 as service advisors, 2 as cashiers and admins, 2 as foreman, 14 as technicians, 2 as partman, and 4 as carwash. This research was conducted because of the many weaknesses of the assessment used. Assessment is still subjective and manual, it is very difficult for the selectors to determine contract employees which takes a lot of time. Therefore, this research was conducted to create a system that uses the naïve bayes classifier algorithm, which produces the labels "Pass" and "Fail" which has 7 variables for the selection process, then applied in the PHP Framework CodeIgniter programming. The results of this study are a system that will have 2 actors, namely employees and HRD so that if it is confirmed that they pass, employees can check and download the contract letter and then sign it and upload it to the E-Kontrak system to be validated by HRD. So employees do not need to come to the HRD office to sign contracts.
KeywordsCarfix Contract Employees, Naïve Bayes, PHP and MySQL
Document
DownloadDownload File
Issn2302-0709
Doi
Viewed271
Created At5 Jan 2022 21.09.23