ANALYSIS OF SUGENO'S FUZZY INFERENCE SYSTEM IMPLEMENTATION TO DETERMINE THE NUMBER OF GOODS ORDERS AT SUZUYA SUPERMARKET
Abstract
Currently, supermarkets in Indonesia had become a shopping place in great demand by the public, in terms of strategic location, also with the types of goods available such as food that people need every day. With so many shopping enthusiasts to supermarkets such as Alfamart, Suzuya then every types of goods there were a lot that must be done to increase the stock of goods to remain available, but because the number of types of goods would be provided, employees for the stock of goods were overwhelmed in checking the stock of goods would be carried out additional stock. Therefore, there needs to be a system that would help every employees work in the supermarket, especially those who did the stock recording of goods in warehouse employees. In this study, analyzed Sugeno's Fuzzy Inference System in order to provide effective and efficient work in the ordering section of goods supplied at supermarkets. The results of this study concluded that using Sugeno's Fuzzy Inference System system was faster in determining the stock to be provided to supermarkets
Downloads
References
[2]. Lamrabet, O., Ech-Charqy, A., Tissir, E. H., & Haoussi, F. El. (2019). Sampled data Control for Takagi-Sugeno Fuzzy Systems with Actuator Saturation. Procedia Computer Science, 148(Icds 2018), 448–454. https://doi.org/10.1016/j.procs.2019.01.057
[3]. Civelek, Z. (2020). Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm. Engineering Science and Technology, an International Journal, 23(1), 1–9. https://doi.org/10.1016/j.jestch.2019.04.010.
[4]. Irfan M, Ayuningtias L, J. J. (2018). Analisa Perbandingan Logic Fuzzy Metode Tsukamoto, Sugeno, Dan Mamdani ( Studi Kasus : Prediksi Jumlah Pendaftar Mahasiswa Baru Fakultas Sains Dan Teknologi Uin Sunan Gunung Djati Bandung). Jurnal Teknik Informatika, 10(1), 9–16. https://doi.org/10.15408/jti.v10i1.6810
[5]. Meimaharani Rizkysari; Tri Listyorini. (2016). Studi Penentuan Kualitas Dan Kuantitas Minyak Bumi Pada Lapangan Minyak Tiaka. Jurnal Geomine, 4(2), 89–96.
[6]. https://doi.org/10.33536/jg.v4i2.50
[7]. Mukhlash, S. M. I. I. I. (2011). Aplikasi sistem inferensi fuzzy metode sugeno dalam memperkirakan produksi air mineral dalam kemasan. Universitas Stuttgart, 2011(Suwandi), 1–9.
[8]. Blej, M., & Azizi, M. (2016). Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Fuzzy Real Time Scheduling.
[9]. Bahroini, A., Farmadi, A., & Nugroho, R. A. (2016). Prediksi Permintaan Produk Mie Instan Dengan Metode Fuzzy Takagi-Sugeno. Klik - Kumpulan Jurnal Ilmu Komputer, 3(2), 220. https://doi.org/10.20527/klik.v3i2.62
[10]. M. D. Irawan, (2017) “Sistem Pendukung Keputusan Menentukan Matakuliah Pilihan pada Kurikulum Berbasis KKNI Menggunakan Metode Fuzzy Sugeno,”J. Media Infotama , vol. 13, no. 1, pp. 27–35, [Online].Available:ttps://jurnal.unived.ac.id/index.php/jmi/article/view/435.
[11]. M. Yasin Simargolang & H. Saidah Tamba, 2018 “Sistem Pendukung Keputusan Menggunakan Metode Fuzzy Sugeno Untuk Menentukan Calon Presiden Mahasiswa Di Universitas Asahan,” J. Teknol. Inf., vol. 2, no. 2, pp. 122–128,.
