Menentukan Harga Kain Katun Menggunakan Fuzzy Inference System Metode Mamdani

Authors

  • Louis Lim Universitas International Batam
  • Rinaldo Program Studi Teknologi Informasi, Fakultas Ilmu Komputer, Universitas Internasional Batam
  • Lesley Peterson Lee Program Studi Teknologi Informasi, Fakultas Ilmu Komputer, Universitas Internasional Batam
  • Sherly Sherly
  • Andik Yulianto Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Internasional Batam

DOI:

https://doi.org/10.37253/telcomatics.v9i1.9365

Keywords:

Fuzzy Inference System, Mamdani, Prediction, Fuzzy Logic, Python

Abstract

Entrepreneurs must keep up with technological developments to compete in an increasingly competitive business environment. This competition causes price reductions and increases to affect sales, requiring the right decision for the business to survive. Cotton fabric is one of the products favored by the public in the textile industry. The success and failure of this business depends on pricing. Fuzzy logic can be applied to predict the selling price of cotton fabrics. This test aims to determine the selling price of cotton cloth by making a Fuzzy Inference System (FIS) using the Mamdani method with variables of material quality, production method, design, and coloring method as considerations. The results of this test show that the comparison of the system made by manual calculation and simulation with Python has an error rate of 0,00019% calculated by MAPE. Based on the results, this system is useful as an auxiliary tool in making decisions because it is able to overcome uncertainty in determining the selling price of cotton fabric.

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Published

2024-07-25

How to Cite

Lim, L., Rinaldo, R., Lee, L. P., Sherly, S., & Yulianto, A. (2024). Menentukan Harga Kain Katun Menggunakan Fuzzy Inference System Metode Mamdani. Telcomatics, 9(1). https://doi.org/10.37253/telcomatics.v9i1.9365

Issue

Vol. 9 No. 1 (2024): In press

Section

Articles

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Copyright (c) 2024 Telcomatics

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This work is licensed under a Creative Commons Attribution 4.0 International License.