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Anggi Puspitasari, Anggi
Universitas Bina Sarana Informatika
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Journal : Faktor Exacta

 1 
Penerapan Fuzzy Sugeno Orde Satu dalam Prediksi Pembelian Devi Fitrianah; Wawan Gunawan; Anggi Puspita Sari
Faktor Exacta Vol 14, No 4 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i4.11268

Abstract

Given the rapid advancement of information technology has a great influence in the fields of industry and services. This brings changes in competition between companies, so that company players must always create various techniques to survive. This study aims to assist SMEs in making purchases of the products they sell so that there is no excess stock. This research is calculated using the Fuzzy Sugeno algorithm with a system inference method that can be applied to determine the prediction of the number of purchases of goods. The prediction generated for the test data at week 30 is 60 pcs and this is less when compared to the real data, namely 70 pcs so that it can avoid overstock. Furthermore, the prediction results from the test data at week 21 to week 30 are tested to determine the error rate using the MAPE method, so that the result is 31.67%, and that means that the test is considered reasonable (reasonable).
Co-Authors Atmono, Atmono Bayu Prasetyo Biktra Rudianto Devi Fitrianah Eca Saputri Edy Purwanto Embun Fajar Wati Hairistryan Hairistryan Ibrahim Mahardika Seno Jaya, Suman Muhammad Aldi Prasetya Muhammad Handy Gusyon Muhtadi, Yudi Natalina Natalina Noviyani, Dyah Indah Raudah Nasution Rudianto, Biktra Siregar, Chairuddin Sujana, Nanan Wawan Gunawan Yusman, Yusman