Journal of Innovation and Future Technology (IFTECH)
Vol 2 No 1 (2020): Vol 2 No 1 (February 2020): Journal of Innovation and Future Technology (IFTECH)

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

Indra Gunawan (Universitas Banten Jaya)
Ramdani Budiman (Universitas Banten Jaya)



Article Info

Publish Date
24 Feb 2020

Abstract

Banten Jaya University is a private university in the 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 © 2020






Journal Info

Abbrev

iftech

Publisher

Subject

Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science

Description

Website ini menjadi wadah publikasi jurnal ilmiah di lingkup Universitas Banten Jaya yang bekerjasama dengan beberapa perhimpunan cendekia sesuai bidang jurnal masing-masing. ...