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RANCANG BANGUN SISTEM INFORMASI ANALISIS PENJUALAN BERBASIS MARKET BASKET ANALYSIS SEBAGAI STRATEGI PENINGKATAN OMZET (STUDI KASUS: TOKO BUKU SOLO)
This study aims to design and develop a Sales Analysis Information System based on Market Basket Analysis as a strategy to increase revenue at Toko Buku Solo. The main problem identified was the underutilization of transaction data in supporting strategic decision-making, particularly for bundling and promotional strategies. The system was developed using the Extreme Programming (XP) method through two iterations consisting of planning, design, coding, and testing stages. The application was built using ReactJs with MySQL database and provides analytical reports, data visualization dashboards, and bundling recommendations generated by the Apriori algorithm using support, confidence, and lift parameters. Black Box Testing results indicated that all system functionalities operated as expected, while the User Acceptance Test (UAT) achieved a 100% acceptance rate. The implemented system assists store owners in analyzing sales trends, identifying best-selling products, and determining more effective bundling strategies to increase overall revenue.
FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA
NIM.: 22106050082 Muhammad Fakhri Ar Rouf
RANCANG BANGUN SISTEM INFORMASI ANALISIS PENJUALAN BERBASIS MARKET BASKET ANALYSIS SEBAGAI STRATEGI PENINGKATAN OMZET (STUDI KASUS: TOKO BUKU SOLO) (Text)
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