Rancang Bangun Sistem Point Of Sales Menggunakan Metode Apriori Untuk Menentukan Rekomendasi Produk. (Design and Build a Point of Sales System Using the Apriori Method to Determine Product Recommendations).

Putri, Sheila Indri Rukmana (2024) Rancang Bangun Sistem Point Of Sales Menggunakan Metode Apriori Untuk Menentukan Rekomendasi Produk. (Design and Build a Point of Sales System Using the Apriori Method to Determine Product Recommendations). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

The current growth in the food & beverage business makes competition in the food business increasingly tight. The evolution of the times has led to many commercial projects, especially in the culinary sector, introducing more food & beverage or menu innovations to increase sales. In building and developing a food and beverage company or business, a person does not only focus on products or menus created to attract consumer attention and increase sales, but also provides the best service to offer to customers. To provide the best service to customers, businesses or F&B companies must also use the best business strategy, but sometimes there are several factors that hinder or make it difficult to determine this strategy. One of the contributing factors is the difficulty of producing analysis related to existing customer sales data. Due to the lack of maximum use of technology at the Eastcoff Cafe, the cafe's service is not optimal. Eastcoff Cafe still manages product orders manually, carries out payment transactions, and monitors remaining product stock, bookkeeping is still done manually. The aim of this research is to develop a website-based point-of-sale application using the Apriori Method, where this method is one of the most frequently used methods because it is easy to use, very simple, and can be used to determine the data sets that appear most frequently ( frequent itemset). A priori algorithm is a type of association rule in data mining. This association analysis is a data mining technique for finding associative rules between a combination of items/attributes.

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