Menentukan Harga Kain Katun Menggunakan Fuzzy Inference System Metode Mamdani
DOI:
https://doi.org/10.37253/telcomatics.v9i1.9365Keywords:
Fuzzy Inference System, Mamdani, Prediction, Fuzzy Logic, PythonAbstract
Entrepreneurs must keep up with technological developments to compete in an increasingly competitive business environment. This competition causes price fluctuations that affect sales, requiring the right decisions for business survival. Cotton fabric is highly favored by consumers in the textile industry. The success and failure of this business depends on pricing. Setting a selling price too high may cause customer dissatisfaction, while setting a price too low may cause business losses. Therefore, determining an optimal selling price is crucial. Adopting fuzzy logic is proposed as a solution for this problem. 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.
Downloads
References
[1] A. D. O. Nugraheni, “Peranan Actibity-Based Costing System dalam Menentukan Harga Pokok Produksi pada IKM Batik Manggur Probolinggo,” Sekolah Tinggi Ilmu Ekonomi Perbanas Surabaya, 2020.
[2] R. Reningtyas, M. R. Octavianto, and R. Septiyansi, “Efek Penambahan Nano Kitosan terhadap Aktivitas Anti Bakteri dan Ketuaan Warna dari Kain Katun Yang Dicelup Dengan Ekstrak Biji Bixa Orellana,” Seminar Nasional Teknik Kimia “Kejuangan,” pp. 1–9, 2019.
[3] Ansar, R. Karim, Salim, and E. Khudriah, “Implementasi Fuzzy Inference System Menggunakan Metode Fuzzy Mamdani Untuk Optimalisasi Produksi Tahu,” G-Tech: Jurnal Teknologi Terapan, vol. 8, no. 1, pp. 276–285, 2024, doi: https://doi.org/10.33379/gtech.v8i1.3650.
[4] E. E. Setiawati and Nuryuliani, “Analisis dan Perancangan Fuzzy Inference System Metode Mamdani untuk Mendukung Keputusan Harga Jual Kain Batik,” Jurnal Ilmiah KOMPUTASI, vol. 18, no. 4, pp. 427–436, 2019.
[5] Tundo and S. Saifullah, “Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 9, no. 3, pp. 443–452, 2022, doi: https://doi.org/10.25126/jtiik.2022924212.
[6] O. R. Putri, W. Sudarwati, S. Wardah, U. Marfuah, and A. Purnamasari, “Aplikasi Sistem Inferensi Fuzzy Metode Mamdani Untuk Memprediksi Jumlah Produksi Pakaian Pada Industri Kreatif Fesyen,” Seminar Nasional Sains dan Teknologi, pp. 1–10, 2024.
[7] V. Ojha, A. Abraham, and V. Snasel, “Heuristic design of fuzzy inference systems: A review of three decades of research,” Eng Appl Artif Intell, vol. 85, pp. 845–864, Aug. 2019, doi: 10.1016/j.engappai.2019.08.010.
[8] X. Gu and X. Cheng, “Distilling a Deep Neural Network into a Takagi-Sugeno-Kang Fuzzy Inference System”.
[9] “(PDF) Implementasi Fuzzy Logic Controller untuk Meredam Ayunan pada Prototipe Gantry Crane.” Accessed: Jan. 19, 2025. [Online]. Available: https://www.researchgate.net/publication/321160949_Implementasi_Fuzzy_Logic_Controller_untuk_Meredam_Ayunan_pada_Prototipe_Gantry_Crane
[10] E. Sak, A. Yulianto, and S. Sabariman, “Sistem Kendali dan Monitoring Irigasi pada Rumah Kaca Berbasis Bluetooth dengan Metode Fuzzy Logic,” Telcomatics, vol. 9, no. 1, pp. 1–7, Jul. 2024, doi: 10.37253/TELCOMATICS.V9I1.9489.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Telcomatics
This work is licensed under a Creative Commons Attribution 4.0 International License.
