RANCANG BANGUN SISTEM INFORMASI ANALISIS PENJUALAN BERBASIS MARKET BASKET ANALYSIS SEBAGAI STRATEGI PENINGKATAN OMZET (STUDI KASUS: TOKO BUKU SOLO)

Muhammad Fakhri Ar Rouf, NIM.: 22106050082 (2026) RANCANG BANGUN SISTEM INFORMASI ANALISIS PENJUALAN BERBASIS MARKET BASKET ANALYSIS SEBAGAI STRATEGI PENINGKATAN OMZET (STUDI KASUS: TOKO BUKU SOLO). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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	Text (RANCANG BANGUN SISTEM INFORMASI ANALISIS PENJUALAN BERBASIS MARKET BASKET ANALYSIS SEBAGAI STRATEGI PENINGKATAN OMZET (STUDI KASUS: TOKO BUKU SOLO)) 22106050082_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (18MB) \| Request a copy

Abstract

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.

Item Type:	Thesis (Skripsi)
Additional Information / Supervisor:	Dr. Ir. Sumarsono, S.T., M.Kom.
Uncontrolled Keywords:	Sistem Informasi, Market Basket Analysis, Apriori, Extreme Programming
Subjects:	000 Ilmu Komputer, Ilmu Informasi, dan Karya Umum > 000 Karya Umum > 005.36 Sistem Informasi
Divisions:	Fakultas Sains dan Teknologi > Informatika (S1)
Depositing User:	Muh Khabib, SIP.
Date Deposited:	02 Apr 2026 12:45
Last Modified:	02 Apr 2026 12:48
URI:	http://digilib.uin-suka.ac.id/id/eprint/75909

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