The Implementation of the Placement of Health Workers in Health Centers using K-Means Clustering Method: Case Study in the City of Samarinda

Damar Nurcahyono, Tien Tulili

2021

Abstract

Health centers and health workers is a relationship that cannot be separated during this division process of health workers in health centers has not been evenly distributed because of the absence of a system that can split health workers evenly to the health center. There is a way that can be used to divide the health workers evenly by using a clustering method to create a decision support system divides the health workers at the health center. The method that will be used for clustering decision support system is the K-Means algorithm, the method is very suitable to divide the number of data in accordance with the criteria required for the distribution of the location of the health center are evenly distributed in accordance with the criteria that have been determined. The results of the research that has been conducted K-Means algorithm can be used as a way out to divide the 30 health workers to 10 locations puskesmas more evenly and in accordance with the criteria to improve the quality of health of the local community.

Paper Citation

in Harvard Style

Nurcahyono D. and Tulili T. (2021). The Implementation of the Placement of Health Workers in Health Centers using K-Means Clustering Method: Case Study in the City of Samarinda. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1146-1152. DOI: 10.5220/0010961100003260

in Bibtex Style

@conference{icast-es21,
author={Damar Nurcahyono and Tien Tulili},
title={The Implementation of the Placement of Health Workers in Health Centers using K-Means Clustering Method: Case Study in the City of Samarinda},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1146-1152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010961100003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - The Implementation of the Placement of Health Workers in Health Centers using K-Means Clustering Method: Case Study in the City of Samarinda
SN - 978-989-758-615-6
AU - Nurcahyono D.
AU - Tulili T.
PY - 2021
SP - 1146
EP - 1152
DO - 10.5220/0010961100003260