Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob

This research is all about predicting future sales using Genetic Algorithm. This is because, most supermarkets have a problem related the product which is exceed expired date and the product out of stock. This problem can cause the imbalance in sales. Based on the problem statement, Genetic Algorith...

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Main Author:	Yaacob, Siti Hajar
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science Algorithms Web databases
Online Access:	https://ir.uitm.edu.my/id/eprint/64852/2/64852.pdf
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id	my-uitm-ir.64852
record_format	uketd_dc
spelling	my-uitm-ir.648522022-09-07T05:59:18Z Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob 2014 Yaacob, Siti Hajar Electronic Computers. Computer Science Algorithms Web databases This research is all about predicting future sales using Genetic Algorithm. This is because, most supermarkets have a problem related the product which is exceed expired date and the product out of stock. This problem can cause the imbalance in sales. Based on the problem statement, Genetic Algorithm was applied to test whether it is compatible to predict the future sales. The objectives of this research are data mining are used to extract useful data from sales and product. Besides that, Genetic Algorithm is applying to predict future sales based on the sales and product data. The product is evaluated based on decision tree to determine whether the product need to order or vice versa. Tool decision tree calculate the stock based on the number of product order. This research using Simple Genetic Algorithm which is involved crossover and fitness. The fitness function calculates based on the total sales of the quantity product sales by week. The crossover are combines all the week to make other population. The main purpose of this research to test whether Genetic Algorithm can use to predict future sales and be able generates the graph. The graphs were shows about sales in month. The value of the graph is quantity product sold against the name of the product. Based on the result that has made, 50% state that this system hard to use and not user friendly. However, this system analysis help them to reduce the product that exceed expired date and out of stock. The next aim of this research is the system will be able to give a factor about the changes of sales. 2014 Thesis https://ir.uitm.edu.my/id/eprint/64852/ https://ir.uitm.edu.my/id/eprint/64852/2/64852.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Khairudin, Nurkhairizan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Khairudin, Nurkhairizan
topic	Electronic Computers Computer Science Algorithms Web databases
spellingShingle	Electronic Computers Computer Science Algorithms Web databases Yaacob, Siti Hajar Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
description	This research is all about predicting future sales using Genetic Algorithm. This is because, most supermarkets have a problem related the product which is exceed expired date and the product out of stock. This problem can cause the imbalance in sales. Based on the problem statement, Genetic Algorithm was applied to test whether it is compatible to predict the future sales. The objectives of this research are data mining are used to extract useful data from sales and product. Besides that, Genetic Algorithm is applying to predict future sales based on the sales and product data. The product is evaluated based on decision tree to determine whether the product need to order or vice versa. Tool decision tree calculate the stock based on the number of product order. This research using Simple Genetic Algorithm which is involved crossover and fitness. The fitness function calculates based on the total sales of the quantity product sales by week. The crossover are combines all the week to make other population. The main purpose of this research to test whether Genetic Algorithm can use to predict future sales and be able generates the graph. The graphs were shows about sales in month. The value of the graph is quantity product sold against the name of the product. Based on the result that has made, 50% state that this system hard to use and not user friendly. However, this system analysis help them to reduce the product that exceed expired date and out of stock. The next aim of this research is the system will be able to give a factor about the changes of sales.
format	Thesis
qualification_level	Bachelor degree
author	Yaacob, Siti Hajar
author_facet	Yaacob, Siti Hajar
author_sort	Yaacob, Siti Hajar
title	Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
title_short	Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
title_full	Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
title_fullStr	Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
title_full_unstemmed	Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
title_sort	predicting future sales using genetic algorithm: data mining sales / siti hajar yaacob
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/64852/2/64852.pdf
_version_	1783735521433878528

Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob

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