Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Moh.Ridzki Alif Maulana
Unknown Affiliation
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Metode Simple Addictive Weighting (SAW), Metode Weighted Product (WP), Dan Technique for Order Preference By Similarity To Ideal Solution (TOPSIS), Dalam Pemberian Bonus Tahunan Karyawan Rio Ardy Milala; Ahmad Fajri; Moh.Ridzki Alif Maulana; Nazila Iva Sugianisa; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 09 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Granting annual bonuses to employees Improving staff morale and performance is one method of improving both within the Financial and Asset Management Agency. However, there are a number of factors that are taken into account when annual incentives are awarded. In order for us to select the best staff, we need a decision aid system. In this research, three techniques are chosen. namely SAW (Simple Additive Weighting), Weighted Product (WP) Method, And Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) This is achieved by assigning importance to each standard evaluated for each employee. Workload, attendance rate, discipline, and other factors are also considered when evaluating research parameters and salary requests. The final result is the selection of the best employee who obtains the largest score deserves the largest bonus.
Co-Authors Ahmad Fajri Nazila Iva Sugianisa Perani Rosyani Rio Ardy Milala