Author : Mustakim1, Della Maulina Herianda, Ahmad Ilham, Achmad Daeng GS, Folkes E. Lauma, Nuning Kurniasih, Akbar Iskandar, Gloria Manulangga, Ida Bagus Ary Indra Iswara and Robbi Rahim
Publish : WMA-Mathcomtech 2018. IOP Conf. Series: Journal of Physics: Conf. Series 1114 (2018)
Berkah Mart is one of the new minimarkets in Pekanbaru city which began to develop as a retail business to meet the needs of the community. In his operation, Berkah Mart still uses the traditional store management perception that the placement of product layout on sale shelves has not been through sales analysis. Existing products have not been reviewed from the consumer’s point of view, whereas the marketing economics concept provides a variety of product and consumer management methods for business management in Berkah Mart, including market bucket analysis techniques and various itemset search algorithms. In this research, Market Basket Basket Analysis with FP-Growth algorithm is proposed to determine the layout and planning of goods availability. The application of FP-Growth algorithm proved to be useful in generating many and informative association rules to find out the consumer spending pattern at Berkah Mart in Pekanbaru. Moreover, from the rules of the customer association can be segmented separately to meet the specific needs of customers with cost-effective by using some special promotions for the general group. The experimental results show that FP-Growth algorithm can analyze quickly and efficiently informing consumer shopping pattern at Berkah Mart and can increase Berkah Mart revenue.
The proposed FP-Growth algorithm is more effective in generating the frequent and informative association rules to find out the consumer spending patterns at Berkah Mart in Pekanbaru compared to the Apriori Algorithm. As for the customer satisfaction, the related products are placed together to give the customers a logical view to select items they might buy. Moreover, from the rules of the customer association, the goods can be segmented separately to meet the specific needs of customers with cost effective by using some special promotions for the general group. The experimental results show that the application of FP-Growth and Apriori algorithm for the analysis of consumer spending pattern at Berkah Mart can increase the overall income or profit, but it is recommended to use FPGrowth algorithm which maximally have the process speed in rule form and have superior support and confidence value a priori algorithm