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All Journal Journal of Artificial Intelligence and Digital Economy
Achmad Amirudin
Muhammadiyah University of Sidoarjo, Indonesia

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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 Arif Senja Fitrani Hamzah Setiawan Rohman Dijaya