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All Journal Journal of Artificial Intelligence and Digital Economy
Hamzah Setiawan
Muhammadiyah University of Sidoarjo, Indonesia

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APPLICATION OF APRIORI DATA MINING METHOD FOR PURCHASING PATTERN ANALYSIS AT UB MART MINIMARKET Ihsan Ferdy Nurfauzy; Ade Eviyanti; Hamzah Setiawan; Ika Ratna Indra Astutik
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 12 (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.v2i12.1556

Abstract

Objective: The Apriori Algorithm method can be used to see the pattern of purchasing goods, such as what happens in the retail industry, including UB Mart minimarkets. UB Mart is one of the minimarkets that sells daily necessities and is often faced with challenges in increasing sales and revenue. Considering that there is quite a lot of competition in this minimarket, UB Mart is required to be able to think of a marketing strategy so that it is not inferior to competitors and one of them is by analyzing purchase patterns with a priori algorithm. It is hoped that by conducting this research it can find out the purchase pattern from UB Mart transaction data, so that transaction data that was initially just a pile of sales reports can turn into the right business strategy. Method: The Apriori Algorithm method can be used to see the pattern of purchasing goods by analyzing purchase patterns with a priori algorithm. Results: The results of this study resulted in 4 association rules from sales transaction data in 2024 in January and February. For example if someone buys a 600 ml retail Tras, they are likely to also buy Sakha with a confidence level of 23.89%. And the results of this research can provide business strategy advice to minimarket management for stock strategies, placement of goods to bundling promos. Novelty: Transaction data that was initially just a pile of sales reports can turn into the right business strategy through the application of the a priori algorithm to reveal purchase patterns in UB Mart.
DESIGN AND IMPLEMENTATION OF A DIGITAL MARKETING INFORMATION SYSTEM FOR KOHAN_YA (HANS JAYA GARMENT SME) Ilham Rizky Almahdi; Hindarto Hindarto; Sumarno Sumarno; Hamzah Setiawan
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 1 (2026): 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.v3i1.1558

Abstract

Objective: This study aims to design and implement a web-based information system for KSI Hansjaya, a garment production business, to serve as both an information dissemination medium and an efficient online promotional tool. Method: The system development process followed the Software Development Life Cycle (SDLC) using the Waterfall model, which includes stages such as requirements analysis, system design, implementation, testing, and maintenance. The system accommodates two user categories: administrators and general users. Results: The system features were tested and evaluated through functionality testing and a questionnaire distributed to 20 respondents. The results showed that 70% of respondents strongly agreed, and 30% agreed that the system is feasible as a digital promotion medium, with all features functioning optimally according to user requirements. Novelty: This web-based system offers a responsive single-page website interface that allows administrators to manage product categories, details, and company contact information, while general users can access product information, ordering guidelines, and contact details. The developed website significantly supports KSI Hansjaya’s promotional activities and contributes positively to the business’s digital growth.
DESIGN OF POINT OF SALE INFORMATION SYSTEM CASE STUDY: MAJU JAYA GROCERY STORE Achmad Amirudin; Rohman Dijaya; Hamzah Setiawan; Arif Senja Fitrani
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 1 (2026): 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.v3i1.1561

Abstract

Objective: This study aims to design and implement a Point of Sale (POS) system as a technological solution to enhance sales transaction efficiency, inventory management, and customer data processing in retail and service-oriented businesses. Method: The research adopts a software engineering approach, encompassing user requirements analysis, interface design, and system testing to ensure the application meets user and operational needs. The system integrates payment processing, receipt generation, and real-time sales recording within a unified platform, while also supporting cloud connectivity and cashless transactions to align with modern digital practices. Results: The implementation of the POS system demonstrated improvements in service speed, accuracy of transaction recording, and overall customer satisfaction. Novelty: This study provides an applicable model for developing integrated, cloud-connected POS systems, emphasizing the role of digital transformation in enhancing business performance and operational reliability in the retail sector.
Co-Authors Achmad Amirudin Ade Eviyanti Arif Senja Fitrani Hindarto Hindarto Ihsan Ferdy Nurfauzy Ika Ratna Indra Astutik Ilham Rizky Almahdi Rohman Dijaya Sumarno Sumarno