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All Journal Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Dwi Fatrianto Suyatno
State University of Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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Development of a Point of Sale (POS) System for the Digitalization of Sales Transaction Recording Based on AI (Case Study: PT XYZ) Erin Limanda Afriana; Dwi Fatrianto Suyatno
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78203

Abstract

Manual sales transaction management remains a common challenge for many small and medium-sized enterprises (SMEs), including PT XYZ, which still relies on physical receipts and handwritten recapitulation to record sales transactions. This condition increases the risk of recording errors, delays in data recapitulation, and difficulties in generating structured sales reports. This study aims to develop a web-based Point of Sale (POS) system integrated with an AI-based chatbot through Telegram and n8n workflow automation to support the digitalization of sales transaction records at PT XYZ. The system was developed using the Rapid Application Development (RAD) method, while data were collected through literature studies, observations, and interviews with the business owner. The developed system is capable of digitizing historical transactions through receipt data extraction using an AI chatbot while simultaneously supporting real-time transaction recording through a web-based POS system integrated into a centralized database. The black-box testing results indicate that all main system features operated according to user requirements, including product management, transaction recording, receipt digitization, and sales report generation. The implementation of the system improved transaction recording efficiency, minimized the risk of data loss, and produced more structured and accessible sales data. The findings demonstrate that the integration of AI chatbots and POS systems can serve as an effective sales transaction digitalization solution for SMEs.
Development of an AI-Based Customer Service Information System for MSME XYZ Izmi Fitriani; Dwi Fatrianto Suyatno
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78204

Abstract

This research aims to develop an Artificial Intelligence (AI)-based customer service information system for MSME XYZ. The study addresses problems in manual customer service processes, including slow response times, repetitive customer inquiries, and unstructured order management that affect operational efficiency and customer satisfaction. The study applies the Research and Development (R&D) method using the Rapid Application Development (RAD) approach. The developed system is a WhatsApp-based AI chatbot integrated with the n8n automation platform, supported by a PostgreSQL database and a web-based dashboard using Budibase. The system provides automated real-time responses, manages product information requests, processes customer orders, and handles customer complaints. System testing was conducted using the Black-Box Testing method to evaluate system functionality. The results indicate that all systems feature operate according to the specified requirements. The implementation of the AI-based chatbot system improves customer service efficiency, reduces manual workload, accelerates response time, and supports digital transformation for MSMEs.
Decision Support System for IT Equipment Procurement Prioritization Using WASPAS Daniel Axel Bagus Putranto; Dwi Fatrianto Suyatno
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78219

Abstract

Determining the priority of IT equipment procurement is a critical process in supporting organizational operational effectiveness. However, procurement decision-making at PT XYZ was previously conducted manually using spreadsheet-based recording, resulting in subjective assessments, time-consuming discussions, and inconsistent prioritization outcomes. This study proposes a web-based Decision Support System utilizing the Weighted Aggregated Sum Product Assessment (WASPAS) method to support objective and data-driven IT procurement prioritization. The proposed system evaluates procurement alternatives based on five criteria: equipment importance, remaining stock, usage frequency, equipment age, and equipment price. The WASPAS method was selected because it combines the advantages of the Weighted Sum Model (WSM) and Weighted Product Model (WPM), improving ranking consistency and decision accuracy. System development was conducted using the Agile methodology to ensure iterative and adaptive development according to user requirements. The research results indicate that the developed system successfully generates automatic procurement priority rankings based on predefined criteria weights. In addition, the system provides reporting and analysis history features that support faster and more transparent decision-making processes. Black Box Testing results demonstrate that all system functionalities operate successfully according to user requirements. Therefore, the proposed system improves efficiency, accuracy, and objectivity in IT procurement decision-making processes.
Co-Authors Daniel Axel Bagus Putranto Erin Limanda Afriana Izmi Fitriani