Jurnal Ilmiah Sains dan Teknologi (SAINTEK)
Vol 2 No 2 (2018): Vol. 2 No. 2 Agustus 2018

DECISION SUPPORT SYSTEM PENENTUAN PEGAWAI TERBAIK DENGAN METODE SAW(STUDI KASUS UNIVERSITAS BANTEN JAYA)

Indra Gunawan (Universitas Banten Jaya)
Sutanto Sutanto (Universitas Banten Jaya)
Irma Yunita (Universitas Banten Jaya)



Article Info

Publish Date
21 Sep 2018

Abstract

ABSTRACT Banten Jaya University is a private university in Serang city of Banten province. The increasing number of employees the diversity of employees is also increasingly complex so it is difficult to choose the best employees. Therefore, the need for a decision support system, so that it can shorten the selection time and improve the quality in determining the best employees. The best employee decision support system uses SAW (simple additive weighting) method based on predetermined criteria and weight. SAW (simple additive weighting) method is chosen because it is able to select the best alternative from a number of alternatives. This research is done by finding the weight on each attribute, then done ranking to determine the best employees.

Copyrights © 2018






Journal Info

Abbrev

saintek

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics

Description

Accreditation of Jurnal SAINTEK According to the decree No. 230/E/KPT/2020 of the Directorate General of Higher Education, Research and Technology, dated December 30 th, 2022, this journal is recognized (accredited) "SINTA 5" starting from the Vol. 5 No. 1, 2021 until Vol. 9 No. 2, 2025 by the ...