SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK WARNET “NET CITY” DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

IRFAN ANDRIYANTO, NIM. 12651068 (2016) SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK WARNET “NET CITY” DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

[img]
Preview
Text (SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK WARNET “NET CITY” DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW))
12651068_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf

Download (5MB) | Preview
[img] Text (SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK WARNET “NET CITY” DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW))
12651068_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
Restricted to Registered users only

Download (1MB)

Abstract

Employees have an enormously important role in improving the quality and competitiveness in realizing the cafe which excellent. In the election held once a month to reward the best employees, aims so that employee has better performance because the award that is given by the company. Of employees on the value of a good performance and loyalty to the company was chosen one of the best of all alternatives employees. The method used in the decision making process is Simple Additive weighting, the process of Simple Additive weighting method is by looking for a weighted sum of rating performance on each alternative on all the criteria, create a table of rating compatibility of each alternative on each criterion and make a decision matrix. The criteria used in the selection using the SAW method are seven criteria: discipline, behavior, responsibility, performance, teamwork, reception and management decisions. All these criteria were selected based SOP is in the company. From the research that has been done to produce a decision support system using Simple Additive weighting (SAW) method and the criteria used in the selection of seven criteria: discipline, behavior, responsibility, performance, teamwork, reception and management decisions. From the calculation results of the system built resulted in recommendation of best employee with highest value 95.05 based on weight criteria calculation of Simple Additive Weighting (SAW) method.

Item Type: Thesis (Skripsi)
Additional Information: Agus Mulyanto, S.Si., M.Kom
Uncontrolled Keywords: Internet Cafe Net City Yogyakarta, Decision Support Systems, Simple Additive Weighting (SAW)
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: Miftahul Ulum [IT Staff]
Date Deposited: 22 Dec 2016 09:11
Last Modified: 22 Dec 2016 09:11
URI: http://digilib.uin-suka.ac.id/id/eprint/23155

Share this knowledge with your friends :

Actions (login required)

View Item View Item
Chat Kak Imum