Control of Steel Plate Raw Material Inventory Using Mamdani's Fuzzy Logic Method at Diffuser Companies
Pengendalian Persediaan Bahan Baku Plat Baja Menggunakan Metode Fuzzy Logic Mamdani pada Perusahaan Diffuser
DOI:
https://doi.org/10.21070/ups.6863Keywords:
Inventory Control, Prediction, Fuzzy Logic MamdaniAbstract
In a production requires proper control of raw material inventory, to minimize the occurrence of overstock or outstock. At the diffuser company there is an overstock problem and results in high storage costs. The purpose of this study is to optimize the amount of diffuser raw material inventory against uncertain demand, thereby minimizing losses for the company. Mamdani fuzzy logic is used to process uncertain data and make decisions on the amount of raw material inventory. Identifying data by determining the required variables there are several stages, namely fuzzyfication, implication, and defuzzyfication. The results of the study project that with a production target of 353 diffusers and facing a demand of 198 diffusers, the original inventory of 419 steel plates can be optimized with the Mamdani fuzzy logic method to 344 steel plates. The MAPE calculation has an error value of 26.4971% and is included in the sufficient category.
Downloads
References
I. Raga 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.
T. Ernita, A. S. Nasution, and D. Tanjung, “Analisa Pengendalian Persediaan Bahan Baku Pada Pt. Incasi Raya Pesisir Selatan,” J. Sains dan Teknol. J. Keilmuan dan Apl. Teknol. Ind., vol. 19, no. 1, p. 39, 2019, doi: 10.36275/stsp.v19i1.129.
M. Hariyadi and B. I. Putra, “Pengendalian Persediaan Bahan Baku Nalco Water Treatment Dengan Menggunakan Metode Lot Sizing,” PROZIMA (Productivity, Optim. Manuf. Syst. Eng., vol. 2, no. 2, pp. 80–87, 2018, doi: 10.21070/prozima.v2i2.2199.
D. E. Hari Purnomo, Y. A. Sunardiansyah, and A. N. Fariza, “Penerapan Metode Fuzzy Tsukamoto Dalam Membantu Perencanaan Persediaan Bahan Baku Kayu Pada Industri Furnitur,” Ind. Xplore, vol. 5, no. 2, pp. 59–68, 2020, doi: 10.36805/teknikindustri.v5i2.1125.
D. N. Atika and T. Sukmono, “Analysis Of Inventory Control Panel On Demand Using Fuzzy Inventory Control Method Analisa Pengendalian Persediaan Panel Terhadap Permintaan Menggunakan Metode Fuzzy Inventory Control,” pp. 1–12.
F. Di, P. T. Beurata, S. Persada, and A. Saputra, “Perencanaan Pengendalian Inventori Dengan Menggunakan Metode Fuzzy Inventory Control &,” vol. 13, no. 2, 2022.
E. Krisnaningsih and S. Dwiyatno, “Sistem Pendukung Keputusan Penentuan Jumlah Produksi Sepatu Type Boots 350 V2 dengan Menggunakan Metode Fuzzy Mamdani,” J. INTECH Tek. Ind. Univ. Serang Raya, vol. 6, no. 2, pp. 107–112, 2020, doi: 10.30656/intech.v6i2.2315.
F. Sihombing and M. Yetri, “Sistem Pendukung Keputusan Untuk Menentukan Stok Makanan Dan Minuman Pada PT . Alfamidi Dengan,” pp. 1–12, 2022.
C. P. P. Maibang and A. M. Husein, “Prediksi Jumlah Produksi Palm Oil Menggunakan Fuzzy Inference System Mamdani,” J. Teknol. dan Ilmu Komput. Prima, vol. 2, no. 2, p. 19, 2019, doi: 10.34012/jutikomp.v2i2.528.
M. Abrori and A. H. Primahayu, “Aplikasi Logika Fuzzy Metode Mamdani Dalam Pengambilan Keputusan Penentuan Jumlah Produksi,” J. Kaunia, vol. 11, no. 2, pp. 91–99, 2014.
A. Saelan, Logika Fuzzy, vol. 1, no. 13508029. 2009.
R. N. Al-faruq and H. Hindarto, “Prediksi Produksi Rokok Klobot Menggunakan Metode Logika Fuzzy Mamdani,” no. 2, pp. 1–14, 2024.
Tundo, “Prediksi Produksi Minyak Kelapa Sawit Menggunakan Metode Fuzzy Tsukamoto Dengan Rule Yang Terbentuk Menggunakan Decision Tree Reptree,” J. Nas. Pendidik. Tek. Inform. JANAPATI, vol. 9, no. 2, pp. 253–265, 2020, [Online]. Available: https://ejournal.undiksha.ac.id/index.php/janapati/article/view/23868
A. Munandar, “Sistem Pengereman Otomatis Menggunakan Logika Fuzzy Berbasis Mikrokontroler,” Univ. Komput. Indones., vol. 4, no. 1, p. 17, 2016.
S. Neonbeni, G. S. Mada, and F. M. A. Blegur, “Analisis Perbandingan Metode Defuzzifikasi Fuzzy Inference System Mamdani Dalam Penentuan Produksi Tua Kolo (Sopi Timor) 45% Pada Pabrik Sane Up-Ana Kefamenanu,” J. Saintek Lahan Kering, vol. 5, no. 2, pp. 34–39, 2023, doi: 10.32938/slk.v5i2.1994.
S. Nurhayati and I. Immanudin, “Penerapan Logika Fuzzy Mamdani Untuk Prediksi Pengadaan Peralatan Rumah Tangga Rumah Sakit,” Komputika J. Sist. Komput., vol. 8, no. 2, pp. 81–87, 2019, doi: 10.34010/komputika.v8i2.2254.
A. Ikhwan, M. Badri, M. Andriani, and N. Saragih, “Analisis Tingkat Kepuasan Pelanggan Menggunakan Fuzzy Mamdani (Studi Kasus: Busrain Bakery),” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 18, no. 2, p. 147, 2019, doi: 10.53513/jis.v18i2.153.
M. Dary Daffa Haque, “Penerapan Logika Fuzzy Mamdani Untuk Optimasi Persediaan Stok Makanan Hewan,” Media Online), vol. 4, no. 1, pp. 427–437, 2023, doi: 10.30865/klik.v4i1.1160.
S. A. Savitri and D. Suhaedi, “Penerapan Inference Fuzzy Mamdani dalam Seleksi Penerima Bantuan Sosial Tunai Kabupaten Belitung Timur,” J. Ris. Mat., pp. 163–172, 2022, doi: 10.29313/jrm.v2i2.1383.
Downloads
Additional Files
Posted
License
Copyright (c) 2024 UMSIDA Preprints Server
This work is licensed under a Creative Commons Attribution 4.0 International License.
