A Model to Determine Priority in AHP Using Coefficient Correlation

Ella Silvana Ginting, Devy Mathelinea, Herman Mawengkang

2023

Abstract

Analytic hierarchy process (AHP) is an effective decision-making method for making decisions on complex issues. Through AHP unstructured complex issues are simplified into structured parts in a hierarchy.Various methods in AHP are used to determine the priority of multi-criteria issues, but in this thesis a priority determination model is proposed through the correlation coefficient or Correlation Coefficient Maximization Approach (CCMA). Then compared with the addition normalization method or Additive normalization (AN). As an application of this method, it is about the election of a school principal by a foundation. Of the three alternatives specified, there are four criteria that must be possessed, namely knowledge, quality of work, responsibility, and work discipline. The results obtained show that the order of priority through the calculation of CCMA and AN is the same.

Paper Citation

in Harvard Style

Silvana Ginting E., Mathelinea D. and Mawengkang H. (2023). A Model to Determine Priority in AHP Using Coefficient Correlation. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 240-243. DOI: 10.5220/0012447600003848

in Bibtex Style

@conference{icaisd23,
author={Ella Silvana Ginting and Devy Mathelinea and Herman Mawengkang},
title={A Model to Determine Priority in AHP Using Coefficient Correlation},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={240-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012447600003848},
isbn={978-989-758-678-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - A Model to Determine Priority in AHP Using Coefficient Correlation
SN - 978-989-758-678-1
AU - Silvana Ginting E.
AU - Mathelinea D.
AU - Mawengkang H.
PY - 2023
SP - 240
EP - 243
DO - 10.5220/0012447600003848
PB - SciTePress