Decision Support System for Selecting the Best Firefighters Using the Weighted Sum Model (WSM) Method

Authors

  • Zeky Ameriza Universitas Putra Indonesia YPTK Padang
  • Guslendra Universitas Putra Indonesia YPTK Padang
  • Hezy Kurnia Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jcsitech.v9i2.67

Keywords:

Decision Support System, Weighted Sum Model Method, Fire Fighting, Alternatives, Specifications.

Abstract

Fire is a threat to human safety, property and the environment. The population is getting denser, the construction of office buildings, residential areas, industrial areas which are increasingly developing creates a vulnerability in the event of a fire that requires special handling. This study uses the Weighted Sum Model (WSM) method. The WSM method is a method for solving a complex unstructured situation into several components in a hierarchical arrangement, by giving subjective values about the relative importance of each variable, and determining which variable has the highest priority in order to influence the outcome in that situation. The decision-making process is basically choosing the best alternative. Such as structuring the problem, determining alternatives, determining possible values for alleator variables, determining values, preference requirements for time, and risk specifications. The results of the research show that the use of WSM as a decision support system model for selecting the Best Members of the Lubuk Basung Fire Department can assist the admin in determining the Best Members with a multi-criteria weighting process and selection in a faster, more thorough and more effective manner, based on calculations it is found that the best members are Alternative 3 with the name Yurnaldi, S.Pd with a score of 80

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Published

2023-04-30

How to Cite

Ameriza, Z., Guslendra, & Kurnia, H. (2023). Decision Support System for Selecting the Best Firefighters Using the Weighted Sum Model (WSM) Method. Journal of Computer Scine and Information Technology, 9(2), 77–82. https://doi.org/10.35134/jcsitech.v9i2.67