Penerapan Metode Fuzzy Mamdani Dalam Menentukan Persediaan Beras Tahun 2023

Authors

  • Yeni Sinaga Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Debora Exaudi Sirait Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas HKBP Nommensen Pematangsiantar, Indonesia
  • Juli Antasari Sinaga Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas HKBP Nommensen Pematangsiantar, Indonesia

DOI:

https://doi.org/10.58540/jipsi.v2i3.442

Keywords:

BULOG, Centroid , Fuzzy Mamdani

Abstract

Indonesia is an agricultural country that relies heavily on agriculture, especially the production of rice as a staple food. The government has an important role in maintaining food security through the Logistics Affairs Agency (BULOG). Perum BULOG must anticipate uncertainty in rice demand and ensure sufficient stock. Fuzzy logic methods, especially the Mamdani Method, are used to optimize rice supplies. This research is a quantitative approach with descriptive methods, describing the characteristics of the research object without relationships or comparisons with other variables. Fuzzy logic methods, especially the Mamdani Method, are used to optimize rice supplies. This research aims to apply the Fuzzy Mamdani Method in determining the amount of rice inventory at Perum BULOG on Jl. Asahan.The centroid method is used to calculate z values ​​based on the results of rule aggregation. So, the z value (inventory) based on the Mamdani method with input x 10044820 and y 936000 is 805086. The results of this defuzzification indicate that inventory is "High" at a level of around 805086. The Mamdani method produces rice supplies of around 805,086 kg based on income and distribution. Uncertainty related to fluctuations in income and distribution.

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Published

2023-10-30

How to Cite

Yeni Sinaga, Debora Exaudi Sirait, & Juli Antasari Sinaga. (2023). Penerapan Metode Fuzzy Mamdani Dalam Menentukan Persediaan Beras Tahun 2023 . Jurnal Ilmu Pendidikan Dan Sosial, 2(3), 358–370. https://doi.org/10.58540/jipsi.v2i3.442

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