Mujito Mujito
Universitas Budi Luhur

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Implementasi Algoritme Profile Matching Untuk Perekrutan Karyawan Mujito Mujito; Basuki Hari Prasetyo; Nasrul Sani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (863.794 KB) | DOI: 10.29207/resti.v3i2.918

Abstract

IT infrastructure at PT. Citra Multi Service is a very important part in the company where this is all part of the Foundation or framework that supports a system or organization to maintenance. The prospective employee selection process done by checking and selection is manually done by checking one by one the documentary was sent by the applicant, so make appraisers hassles and inefficient and require quite a long time, and the occurrence of human error as well as an assessment of subjective, sometimes the end result is not the best prospective employees. In this study using two aspects and in the aspect there are a few criteria. The basic Technique consists of aspect criteria Desktop Support, Network Engineer, Server Engineer, Security Engineer and Data Center Engineer. On the aspect of Personality consists of Dexterity, communication, discipline, Team Work and Responsibility. Method or Algorithm used is a Matching Profile. The results of this research is an application that produces the decision supporting systems output a rank of each prospective employees, so the management decision makers can see the ability of each candidate employees based on the rank.
Penerapan Algoritma Topsis untuk Perekrutan Karyawan Divisi HRD pada CV. Semito Mandiri Andriyansyah Andriyansyah; Siswanto Siswanto; Mujito Mujito
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.594 KB)

Abstract

The company implements strict employee recruitment selection for job applicants to suit the company's needs to get quality human resources. The process of selecting prospective employees is done by checking and selection manually by looking at the files sent by applicants. This is of course not only very troublesome but also inefficient and takes a long time, not to mention the possibility of human errors and subjective judgments so that the chosen candidates are not the best candidates. Utilizing a Decision Support System that uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Algorithm can help the selection selection problem in the Human Resource Development (HRD) division. So the results of this study are the ranking process with TOPSIS get the average distance between manual results with TOPSIS of 3.5 with a standard deviation of 2.813 and the classification process with Naïve Bayes produces an accuracy of 77.78% and an error of 22.22%, with the error value the results of the classification still have shortcomings in predicting the eligibility of prospective employees.