Application of Fuzzy Logic to Classify Community Welfare Levels

Authors

  • Aditra Universitas Putra Indonesia YPTK Padang
  • Sumijan Universitas Putra Indonesia YPTK Padang
  • Rini Sovia Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jcsitech.v10i3.104

Keywords:

Fuzzy Logic, Tahani Model, Classification, Family, Social Assistance

Abstract

Information regarding family welfare does not only affect family members, but also influences the success of government, including village government. Therefore, information regarding the level of family welfare is needed to monitor the progress of development programs that have been carried out. The fuzzy logic of the Tahani model is one method that can be applied to classify things. The aim of this research is to classify the level of welfare of families as potential recipients of assistance based on population data held by the Mentawai Social Service & P3A. This research was processed using Fuzzy Tahani logic. Fuzzy Tahani is an optimization algorithm that can be used to support decisions by utilizing relational databases. Based on the research results obtained, fuzzy logic with the Tahani model can be used to process family data in accordance with indicators of family welfare levels by providing output in the form of family classification. It's just that the application of the Tahani model should be done on a single rule search function, not to process all the rules using a Tahani query to produce a family classification

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Published

2024-07-31

How to Cite

Aditra, Sumijan, & Sovia, R. (2024). Application of Fuzzy Logic to Classify Community Welfare Levels. Journal of Computer Scine and Information Technology, 10(3), 66–71. https://doi.org/10.35134/jcsitech.v10i3.104

Issue

Volume 10 Issue 3 (2024): JCSITech

Section

Articles

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