Research Article Open Access

Evaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive Weighting

Timothy Marcelleon1 and Ditdit Nugeraha Utama1
  • 1 Department of Computer Science, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia

Abstract

It is vital to determine the most dangerous types of trash in terms of the environment and human health. The purpose of this selection is to make readers aware of the impact of garbage on the environment. As human knowledge of the environment grows, the utilization of garbage will naturally decrease. The goal of this research is to create a Decision Support Model (DSM) to decide which types of waste are the most dangerous. By integrating the Fuzzy Logic (FL) approach with the Simple Additive Weighting (SAW) method, the model takes into account six factors: Factory water waste, plastic waste, cloth waste, battery waste, electronic waste, and tube lamp waste. This model will be used by businesses that deal with information and technology, and in turn, it may be used to measure and rank waste, making it easier for readers to make key judgments such as which materials should be used less and which can do more harm to the environment and human health.

Journal of Computer Science
Volume 19 No. 1, 2023, 145-156

DOI: https://doi.org/10.3844/jcssp.2023.145.156

Submitted On: 4 March 2022 Published On: 19 January 2023

How to Cite: Marcelleon, T. & Utama, D. N. (2023). Evaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive Weighting. Journal of Computer Science, 19(1), 145-156. https://doi.org/10.3844/jcssp.2023.145.156

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Keywords

  • Decision Support Model
  • Fuzzy Logic
  • Simple Additive Weighting
  • Most Hazardousness Waste
  • Waste
  • Bad Impact from Waste