KETERKAITAN POLA PEMBELIAN FURNITURE DENGAN MENGGUNAKAN ALGORITMA APRIORI
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Shafira, Auliani
Affandi, Riki Ruli
Yosrita, Efy
Affandi, Riki Ruli
Yosrita, Efy
Subject
Teknik Informatika
Datestamp
2022-09-21 01:37:56
Abstract :
Arafah Ayu's store is one of the stores that sell furniture in the city of langsa, but often endless stock of goods demanded often complaints from buyers, by analyzing the relationship between furniture sales data which the analysis results make to predict stock availability of goods. The data linkage of goods is chosen because by knowing the linkage pattern, the percentage of linkage of item A to item B will be obtained, thus the greatest linkage can be used as a reference in predicting future stock of goods. By using the a priori algorithm method, sales data will be calculated the value of the relationship of each item to produce The Best Rules, namely the highest linkage, with a minimum value of support and minimum confidence as a benchmark. The results of research testing with data for 1 month, January 2018 with a minimum support of 9% and a minimum of 55% confidence is to produce 15 patterns of association with the smallest value is If you buy Springbed Conforta then also buy a Minimalist Cushions & Pillows with a value of support of 9.26 % and 55.56% confidence value. And the highest connection value is If you buy a Minimalist Crib then also buy a pillow with a support value of 16.67% and 100% confidence.
Arafah Ayu's store is one of the stores that sell furniture in the city of langsa, but often endless stock of goods demanded often complaints from buyers, by analyzing the relationship between furniture sales data which the analysis results make to predict stock availability of goods. The data linkage of goods is chosen because by knowing the linkage pattern, the percentage of linkage of item A to item B will be obtained, thus the greatest linkage can be used as a reference in predicting future stock of goods. By using the a priori algorithm method, sales data will be calculated the value of the relationship of each item to produce The Best Rules, namely the highest linkage, with a minimum value of support and minimum confidence as a benchmark. The results of research testing with data for 1 month, January 2018 with a minimum support of 9% and a minimum of 55% confidence is to produce 15 patterns of association with the smallest value is If you buy Springbed Conforta then also buy a Minimalist Cushions & Pillows with a value of support of 9.26 % and 55.56% confidence value. And the highest connection value is If you buy a Minimalist Crib then also buy a pillow with a support value of 16.67% and 100% confidence.
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