Implementasi Market Basket Analysis Untuk Penjualan Hasil Tangkapan Ikan Di Kota Sibolga Berbasis Web Menggunakan Algoritma Fp-Growth

Abstract

The city f Sibolga has a very large fish income. The fish obtained are usually sold, and this is still done manually (not yet through e-commerce and internet networks). This manual system takes quite a lot of time, because potential consumers and the port only communicate by telephone. The consumer will first ask the seller what products are available, in what quantity, and at what price. Considering the many types of catches that can be obtained, it will take a lot of time. Part from that, if a certain type of fish is not available, they cannot know in real tiime when the fish be available. Tjos research offers a system to make it easier to provide informastion on fish catches in the city of Sibolga. With this system, byters will easily see fish avaiilability and details, and can also make purchases directly from this application. In this application there are also recommendations for consumers just before payment is made. One method that can be used is Market Basket Analysis (MBA). This method plays a role in identifying products that are frequently purchased together from transaction databy utilizing shopping behaviour patterns analysis with the help of the FP-Growth algorithm. This method will later used by analyzing beehavioral patterns of previous purchases, where fish that are often purchased together will be recommended at the end.