Design of a Decision Support System for Selecting Exemplary Health Officers with the Topsis Method

Authors

  • Messy Audina Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jcsitech.v8i4.49

Keywords:

Puskesmas, Health Workers, TOPSIS, Website, Alternatives

Abstract

In this case, as a motivation to improve the performance of health workers at the Selat Panjang Health Center UPT, an exemplary health worker election was held. It also aims to reward those who have served themselves at the Selat Panjang Health Center for a long time. However, the method of selecting exemplary health workers still uses the manual method, especially in determining the final score of all stages of the assessment. In addition, the assessment team was still considered not to be transparent in deciding which health worker received the highest or best score. The development of a computing system is indispensable to facilitate the work of the jury team in selecting and assigning the best health workers objectively, professionally and transparently. Therefore a web-based decision support system was designed by applying the TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) method. The TOPSIS method is a multicriteria decision-making method or an alternative choice which is an alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution from a geometric point of view using Euclidean distance. The results obtained from this study are those who fulfill the requirements as exemplary health workers, namely alternative 1 named Rizky with a value of 0.5869. With the construction of the new system, it is hoped that it will be able to overcome the problems experienced by the UPT Selat Panjang Health Center

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Published

2022-10-31

How to Cite

Audina, M. (2022). Design of a Decision Support System for Selecting Exemplary Health Officers with the Topsis Method. Journal of Computer Scine and Information Technology, 8(4), 119–124. https://doi.org/10.35134/jcsitech.v8i4.49