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The Performance Analysis of Civil Servant using Fuzzy Inference System – Sugeno Method in Department of Population Tomohon

by Marlin Yuvina Tileng, Eko Sediyono, Irwan Sembiring
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 15
Year of Publication: 2013
Authors: Marlin Yuvina Tileng, Eko Sediyono, Irwan Sembiring
10.5120/14653-2936

Marlin Yuvina Tileng, Eko Sediyono, Irwan Sembiring . The Performance Analysis of Civil Servant using Fuzzy Inference System – Sugeno Method in Department of Population Tomohon. International Journal of Computer Applications. 84, 15 ( December 2013), 20-28. DOI=10.5120/14653-2936

@article{ 10.5120/14653-2936,
author = { Marlin Yuvina Tileng, Eko Sediyono, Irwan Sembiring },
title = { The Performance Analysis of Civil Servant using Fuzzy Inference System – Sugeno Method in Department of Population Tomohon },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 15 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number15/14653-2936/ },
doi = { 10.5120/14653-2936 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:00.194494+05:30
%A Marlin Yuvina Tileng
%A Eko Sediyono
%A Irwan Sembiring
%T The Performance Analysis of Civil Servant using Fuzzy Inference System – Sugeno Method in Department of Population Tomohon
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 15
%P 20-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Employee performance assessment is a way to know the quality of work performed by employees. This research was conducted to analyze the performance of existing employees in the Department of Population in Tomohon City by using Fuzzy Inference System Sugeno Method. Fuzzy model used the Sugeno fuzzy model order one. The process by doing substractive clustering to form membership functions and generate cluster centers and sigma, and the clustering of substractive fuzzy inference system will be established to create a rule. Overall analysis and variables is processed by using Matlab R2013a application assistance. In this research, the establishment of rule divided into two, namely staff and managers. Staff have four rules, while managers have five rule.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Assesment Performance Fuzzy Logic Fuzzy Inference System Sugeno Method.

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