The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman

Nowadays, with the challenging of business environment such as customer demand and increasing in customers, it gives a lot of pressure to every business operations. From the preliminary studies, the researcher had identified that Corm Cafe is lack of marketing strategy. Market basket analysis is one...

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Main Author:	Kamarulzaman, Nur Amalina
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Fuzzy arithmetic Analytical methods used in the solution of physical problems Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/40748/1/40748.pdf
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id	my-uitm-ir.40748
record_format	uketd_dc
spelling	my-uitm-ir.407482021-01-20T05:09:51Z The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman 2018-01 Kamarulzaman, Nur Amalina Fuzzy arithmetic Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Fuzzy logic Nowadays, with the challenging of business environment such as customer demand and increasing in customers, it gives a lot of pressure to every business operations. From the preliminary studies, the researcher had identified that Corm Cafe is lack of marketing strategy. Market basket analysis is one of the techniques to find associated items using the order sheets of Corm Cafe. The main objectives of this study are to identify the current business process and business strategy of Corm Cafe, to propose menu association model using market basket analysis techniques and to visualize the result based on the proposed model. Besides that, CRISP-DM is used as a method throughout this research which is starting from business understanding, data understanding, data preparation, model building, evaluation and testing and lastly deployment. To find the frequent item mining, the researcher had proposed some efficient algorithm which is FP-Growth. By using the different type datasets, the researcher had explored and compares the result based on the previous case study. Rapid Miner is used in implemented the FP-Growth and the association rules produced are shown in a result workspace. As a result, the researcher find the most associated items are Krush and Pasta, where 199 from 1026 order sheets are appear together in the transaction. From the association rules produced, the researcher was visualized them in the dashboard and recommend the new marketing strategies for Corm Cafe such as promotion, combo treats and functional menus. In conclusion, this research is expected to help the decision maker in making a new marketing strategy for their business in order to increase the customer’s retention and also increase their profit day by day. 2018-01 Thesis https://ir.uitm.edu.my/id/eprint/40748/ https://ir.uitm.edu.my/id/eprint/40748/1/40748.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Isa, Norulhidayah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Isa, Norulhidayah
topic	Fuzzy arithmetic Fuzzy arithmetic Analytical methods used in the solution of physical problems Fuzzy logic
spellingShingle	Fuzzy arithmetic Fuzzy arithmetic Analytical methods used in the solution of physical problems Fuzzy logic Kamarulzaman, Nur Amalina The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
description	Nowadays, with the challenging of business environment such as customer demand and increasing in customers, it gives a lot of pressure to every business operations. From the preliminary studies, the researcher had identified that Corm Cafe is lack of marketing strategy. Market basket analysis is one of the techniques to find associated items using the order sheets of Corm Cafe. The main objectives of this study are to identify the current business process and business strategy of Corm Cafe, to propose menu association model using market basket analysis techniques and to visualize the result based on the proposed model. Besides that, CRISP-DM is used as a method throughout this research which is starting from business understanding, data understanding, data preparation, model building, evaluation and testing and lastly deployment. To find the frequent item mining, the researcher had proposed some efficient algorithm which is FP-Growth. By using the different type datasets, the researcher had explored and compares the result based on the previous case study. Rapid Miner is used in implemented the FP-Growth and the association rules produced are shown in a result workspace. As a result, the researcher find the most associated items are Krush and Pasta, where 199 from 1026 order sheets are appear together in the transaction. From the association rules produced, the researcher was visualized them in the dashboard and recommend the new marketing strategies for Corm Cafe such as promotion, combo treats and functional menus. In conclusion, this research is expected to help the decision maker in making a new marketing strategy for their business in order to increase the customer’s retention and also increase their profit day by day.
format	Thesis
qualification_level	Bachelor degree
author	Kamarulzaman, Nur Amalina
author_facet	Kamarulzaman, Nur Amalina
author_sort	Kamarulzaman, Nur Amalina
title	The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
title_short	The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
title_full	The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
title_fullStr	The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
title_full_unstemmed	The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
title_sort	implementation of market basket analysis in menu association model for corm café / nur amalina kamarulzaman
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/40748/1/40748.pdf
_version_	1783734596152590336

The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman

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