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All Journal Journal of Artificial Intelligence and Digital Economy
Novia Ariyanti
Muhammadiyah University of Sidoarjo, Indonesia

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IMPLEMENTATION OF DATA MINING FOR ANGKRINGAN SALES ANALYSIS USING THE APRIORI METHOD Aprilia Widiya Umaroh; Nuril Lutfi Azizah; Novia Ariyanti; Azmuri Wahyu Azinar
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 12 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i12.1542

Abstract

Objective: This study aims to address the challenges faced by Angkringan Mdpl in analyzing sales data that affect stock management efficiency. The research seeks to identify purchasing patterns that can serve as a foundation for better inventory and marketing decisions. Method: The Apriori algorithm, a data mining technique, is employed to discover associations among sold items by calculating support and confidence values to generate valid association rules. The analysis uses transaction data from June and July 2024, with a minimum support threshold of 2% and a minimum confidence level of 5%. Results: The testing process produced five pairs of item combinations with strong and valid association rules, as confirmed by their lift values. These findings enable Angkringan Mdpl to enhance stock control by prioritizing frequently purchased products and recommending complementary items effectively. Novelty: This study provides a data-driven approach to micro-scale food business management by applying the Apriori algorithm to optimize stock planning and sales strategies in small local enterprises, demonstrating the algorithm’s practical value beyond large-scale retail contexts.
WEBSITE DESIGN AND CONSTRUCTION SINGLE-PAGE AS A PROMOTIONAL MEDIA AT TBS (TATA BEAUTY SALON) WONOAYU DISTRICT, SIDOARJO Ahmad Ardiansyah Nugraha; Hindarto Hindarto; Ade Eviyanti; Novia Ariyanti
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 9 (2025): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v2i9.1548

Abstract

Objective: This study aims to design and implement a website-based digital marketing system as an effective promotional strategy for Tata Beauty Salon (TBS) in Wonoayu District, Sidoarjo. Background: Currently, TBS relies solely on direct interaction and word-of-mouth marketing, which limits the dissemination of information and hinders business growth and competitiveness. Method: The research applies the Waterfall model of the Software Development Life Cycle (SDLC) to develop a single-page website that presents all essential information—such as services, pricing, and contact details—on one interface for a seamless user experience. The website is built using HTML and CSS for layout and design, while PHP and JavaScript are used for functional programming. Results: The implementation of the website enhances TBS’s online visibility, simplifies customer access to information, and improves promotional reach. Novelty: This research demonstrates how a simple, user-friendly single-page website can serve as an effective digital marketing tool for small businesses, contributing to increased competitiveness and sustainable business growth in the beauty industry.
Co-Authors Ade Eviyanti Ahmad Ardiansyah Nugraha Aprilia Widiya Umaroh Azmuri Wahyu Azinar Hindarto Hindarto Nuril Lutfi Azizah