Implementasi Algoritma Market Basket Analysis dengan Metode Association Rule Apriori Untuk Transaksi Penjualan Di Talenta Cafe Berbasis Android
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Sianturi, Daniel Sebastian
Siswipraptini, Puji Catur
Hertina, Desi Rose
Siswipraptini, Puji Catur
Hertina, Desi Rose
Subject
Teknik Informatika
Datestamp
2019-12-11 04:47:16
Abstract :
Point of sale (POS) mobile application using a priori assocition rule aims to facilitate employees in giving favorite menus or best sellers to entrants in Talenta Cafe. Also making transactions easier. Previously, working on transactions and making reports were done manually in the books. To get the results of the transaction, the cafe owner often has problems in the calculation of transactions such as data not in accordance with the items sold. And some consumers do not know the favorite menus in Talenta cafes. To overcome some of these problems, the design of POS applications with the a priori association rule method is expected to increase sales transactions at Talenta Kafe. In this study, the writer uses the basket market algorithm with a priori association rule method, for designing applications using the Unified Modeling Language (UML) and testing applications using the International Organization for Standardization (ISO) 9126, besides that in designing databases using XML web services and in terms of The author's application implementation uses the application of JAVA mobile programming language that is using IONIC. From the results of this study it can be concluded that the Point of Sale (POS) mobile application using a priori android based assocition rule method, can help cafe owners, cashiers, and employees in increasing sales transactions at Talenta Kafe, so that the transaction data obtained during the field is also accurate and (real) facts.
Point of sale (POS) mobile application using a priori assocition rule aims to facilitate employees in giving favorite menus or best sellers to entrants in Talenta Cafe. Also making transactions easier. Previously, working on transactions and making reports were done manually in the books. To get the results of the transaction, the cafe owner often has problems in the calculation of transactions such as data not in accordance with the items sold. And some consumers do not know the favorite menus in Talenta cafes. To overcome some of these problems, the design of POS applications with the a priori association rule method is expected to increase sales transactions at Talenta Kafe. In this study, the writer uses the basket market algorithm with a priori association rule method, for designing applications using the Unified Modeling Language (UML) and testing applications using the International Organization for Standardization (ISO) 9126, besides that in designing databases using XML web services and in terms of The author's application implementation uses the application of JAVA mobile programming language that is using IONIC. From the results of this study it can be concluded that the Point of Sale (POS) mobile application using a priori android based assocition rule method, can help cafe owners, cashiers, and employees in increasing sales transactions at Talenta Kafe, so that the transaction data obtained during the field is also accurate and (real) facts.
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