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All Journal IJEBD (International Journal Of Entrepreneurship And Business Development)
S.S.A.S. Putri
Department of Mathematics Faculty of Mathematics and Natural Sciences Universitas Padjadjaran Jalan Raya Bandung Sumedang KM 21 Jatinangor Sumedang Indonesia
Economics, Econometrics & Finance

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Solving Uncertain Online Shopping Problem With Discounts Using Robust Counterpart Methodology Diah Chaerani; eman lesmana; S.S.A.S. Putri
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 4 No 2 (2021): March 2021
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.315 KB) | DOI: 10.29138/ijebd.v4i2.1367

Abstract

Online Shopping is a phenomenon that is growing rapidly at this time and consumers are an important element in the buying and selling competition in the market and consumers who make a difffference in determining the profifits of the sellers. This research discusses the problem of online shopping using the Robust Optimization method. Robust Optimization Method is a process to get optimal results with an uncertainty. Based on the demand model to optimize the buying price, an Integer Linear Programming model with discount functions is built which will be converted into Robust Optimization. In this study also used a tool that is the Maple application in the numerical calculation process.
Co-Authors Diah Chaerani Eman Lesmana