Penerapan Logika Fuzzy Mamdani Untuk Optimasi Persediaan Stok Makanan Hewan
DOI:
https://doi.org/10.30865/klik.v4i1.1160Keywords:
Mamdani Fuzzy Logic; Inventory stock management; Petshop; Pet industry; OptimizationAbstract
This research aims to optimize the inventory management of animal food stocks at Endman Petshop by implementing Mamdani fuzzy logic. In recent years, the petshop industry has experienced rapid growth, making inventory stock management increasingly important to efficiently meet customer demands. The input variables used in this study include Sold Goods, Demand, Price per Item, and Profit, while the output variable is Stock. Sales data from the top five products at Endman Petshop over the course of a year serve as the basis for developing the Mamdani fuzzy logic model. By implementing the Mamdani fuzzy logic method using MATLAB software, the research results demonstrate that the application of Mamdani fuzzy logic can help optimize animal food stock inventory. Considering the fluctuating variability of demand, price, and profit, this model assists Endman Petshop in making more accurate decisions in stock inventory management. This research contributes significantly to enhancing operational efficiency and profitability for Endman Petshop, offering practical solutions to address challenges in increasingly complex inventory management. As part of a continuously evolving industry, this research becomes a relevant reference for petshop practitioners and business owners in optimizing stock inventory and better meeting customer demands. The research findings indicate a significant improvement in operational efficiency and profitability for Endman Petshop. The results show that the implementation of the Mamdani fuzzy logic method can reduce inefficient stock inventory
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References
K. Louis and T. Julianto, “Proses Pengelolaan Bisnis Pada Royale Petshop,” JISMA), vol. 1, no. 3, pp. 347–352, 2022.
F. Purwaningtyas, “Sistem Water Level Control Untuk Budidaya Ikan Gurame Menggunakan Logika Fuzzy Berbasis Mikrokontroler Abstrak Teknologi otomatisasi sistem kendali dan mikrokontroler merupakan salah satu cara yang digunakan otomatis . Adapun proses otomatisasi dalam peng,” vol. 6341, no. November, pp. 48–57, 2018.
V. M. Nasution and G. Prakarsa, “Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani,” Rekayasa, vol. 13, no. 1, pp. 82–87, 2020, doi: 10.21107/rekayasa.v13i1.5893.
L. Costaner, W. Syafitri, and G. Guntoro, “Optimasi Jumlah Produksi Roti Ud Prima Sari Menggunakan Metode Logika Fuzzy,” Sistemasi, vol. 8, no. 3, p. 424, 2019, doi: 10.32520/stmsi.v8i3.537.
K. M. Apriyansah, Maryaningsih, and I. Kanedi, “Application of Fuzzy Mamdani Logic in Determining Teacher Performance To the Learning System At Public High School 6 Bengkulu Middle,” J. Appl. Eng. Technol. Sci., vol. 4, no. 1, pp. 460–468, 2022, doi: 10.37385/jaets.v4i1.1254.
I. Djara, T. Widiastuti, and D. M. Sihotang, “Penerapan Logika Fuzzy Menggunakan Metode Mamdani dalam Optimasi Permintaan Obat,” J. Komput. dan Inform., vol. 7, no. 2, pp. 157–161, 2019, doi: 10.35508/jicon.v7i2.1645.
F. A. Permadi, Y. Indrawaty, and N. St, “Optimalisasi Siklus Lampu Lalu Lintas Menggunakan Haar Cascade dan Fuzzy Logic,” pp. 1–12, 2022.
Yuda and A. L. Fuadi, “Implementasi Logika Fuzzy Mamdani Untuk Menentukn Stok Beras di Toko Agung Cahaya Berbasis Web,” OKTAL J. Ilmu Komput. dan Sci., vol. 1, no. 10, pp. 1707–1713, 2022.
E. R. Wulan, G. Sandi, S. Shahira, M. D. Firdaus, and Y. Saputra, “The fuzzy Mamdani implementation to predict blood stock needs in blood transfusion unit of Palang Merah Indonesia (PMI) in Bandung district,” in Journal of Physics: Conference Series, 2019, vol. 1402, no. 6. doi: 10.1088/1742-6596/1402/6/066107.
P. Of, C. Price, and C. Stock, “Prediction of closing price combined stock index (ihsg) using the fuzzy mamdani method,” vol. 1, no. 2, 2022.
D. Zainurrahman, “Optimalisasi Penetapan Kepangkatan Guru Menggunakan Fuzzy Mamdani,” J. IndraTech, vol. 1, no. 2, pp. 14–24, 2020.
S. Sriani, “Pemanfaatan Sistem Pengendali Water Level Control Untuk Budidaya Ikan Gurame Pada Kolam Terpal Menggunakan Logika Fuzzy Berbasis Mikrokontroler,” Elkawnie, vol. 5, no. 1, p. 47, 2019, doi: 10.22373/ekw.v5i1.3766.
K. Muflihunna and M. Mashuri, “Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi,” Unnes J. Math., vol. 11, no. 1, pp. 27–37, 2022, doi: 10.15294/ujm.v11i1.50060.
R. N. Devita and A. P. Wibawa, “Teknik - teknik optimasi knapsack problem,” Sains, Apl. Komputasi dan Teknol. Inf., vol. 2, no. 1, pp. 35–40, 2020.
K. F. Irnanda, A. P. Windarto, and I. S. Damanik, “Optimasi Particle Swarm Optimization Pada Peningkatan Prediksi dengan Metode Backpropagation Menggunakan Software RapidMiner,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 1, pp. 122–130, 2022, doi: 10.30865/jurikom.v9i1.3836.
F. A. S. Rifa and E. Yuliawati, “Optimalisasi Pengiriman Semen Curah Melalui Jalur Laut Menggunakan Algoritma Transportasi dan Penugasan,” J. Teknol. dan Manaj., vol. 2, no. 1, pp. 7–12, 2021, doi: 10.31284/j.jtm.2021.v2i1.1524.
A. H. Nasyuha, M. Hutasuhut, and M. Ramadhan, “Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan,” J. Media Inform. Budidarma, vol. 3, no. 4, p. 313, 2019, doi: 10.30865/mib.v3i4.1354.
B. Fatkhurrozi, S. Nisworo, and S. Sumardi, “Optimasi Proses Gasifikasi Menggunakan Logika Fuzzy Mamdani,” Avitec, vol. 4, no. 2, p. 151, 2022, doi: 10.28989/avitec.v4i2.1261.
D. Kurniadi, F. Nuraeni, and D. Jaelani, “Implementasi Logika Fuzzy Mamdani Pada Sistem Prediksi Calon Penerima Program Keluarga Harapan,” J. Algoritm., vol. 19, no. 1, pp. 151–162, 2022, doi: 10.33364/algoritma/v.19-1.1016.
A. W. Alwendi and K. Samosir, “Pengembangan Dan Implementasi Metode Fuzzy Mamdani Untuk Penilaian Kinerja Penelitian Dosen,” J. Tek. Inf. dan Komput., vol. 5, no. 2, p. 333, 2022, doi: 10.37600/tekinkom.v5i2.533.
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