Profile Matching Algorithm in Determining the Position of Colleagues

2Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The selection of a colleague or business is a process that must be thoroughly detailed, this will affect the development of a company. A decision support system is a solution to shorten a leader or staff in the cooperation section, where a company has several categories to be applied to the decision support system. The Profile Matching algorithm is an algorithm that is applied to build a system that can help provide a choice of potential partners or colleagues/business partners in certain companies, this profile matching algorithm requires many variables to be able to calculate the proposed output from the ranking value later. There are Core Factors and Secondary Factors, in the case of this discussion there are 3 prospective partners who are calculated for this profile matching algorithm. The distribution of variable data entered into the Profile Matching Algorithm, there are 8 categories, there is 4 categories included Core Factor and 4 categories included in the Secondary Factor, more then results of the GAP calculation show that the ranking value gets a maximum value of 4 (Partner 3), sequence No.2 is M1 and the last one M2 with each GAP value is 3.5.

Cite

CITATION STYLE

APA

Sugiarto, I., Diyasa, G. S. M., & Idhom, M. (2021). Profile Matching Algorithm in Determining the Position of Colleagues. In Journal of Physics: Conference Series (Vol. 1844). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1844/1/012026

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free