Jurnal Ilmiah Sains dan Teknologi
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.

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Journal Info
Jurnal Ilmiah Sains dan Teknologi
Website

Abbrev

saintek

Publisher

Universitas Banten Jaya

Subject

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

Description

The aim of this journal is to publish quality articles dedicated to all aspects of the latest outstanding developments in the field of informatics engineering. Its scope encompasses the applications of (but are not limited to) : ICT Software Engineering System Design Methodology Data mining and Big ...