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Journal of Artificial Intelligence and Digital Economy
Published by PT. Antis International Publisher
ISSN : -     EISSN : 30321077     DOI : https://doi.org/10.61796/jaide
Core Subject :
Journal of Artificial Intelligence and Digital Economy is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open-access, community-focused journal publishing research covering all aspects of artificial intelligence in theory and application.
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Articles 200 Documents
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WEB BASED ONLINE FOOD SALES INFORMATION SYSTEM (CASE STUDY OF WARUNG BEBEK SRUNDENG SEDATI) Ferro Jala Satria Putra; Suprianto Suprianto
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 7 (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.v2i7.1536

Abstract

Objective: This study aims to design and develop a Web-Based Online Food Sales Information System for Warung Bebek Sedati to improve the efficiency of buyer queues and order management processes. The current manual recording system has proven to be ineffective, causing delays and difficulties in tracking customer orders. Method: The research employs a system development approach using the PHP programming language and MySQL as the database management system. The design focuses on simplifying transactions between buyers and sellers by enabling online ordering and automated order recording. Results: The developed system successfully facilitates buyers in placing food orders online and allows the stall to monitor and manage order data in real time without manual input. The system implementation significantly reduces queuing time and enhances service efficiency. Novelty: The innovation of this study lies in integrating a real-time web-based ordering and queue management system tailored for small-scale food businesses, providing a practical technological solution to improve service quality and sales performance in traditional food stalls.
WEB BASED RESERVATION SYSTEM DESIGN AT CAFÉ GARTENHUTTE Muchamad Ilham Rajab Al Mubarok; Sumarno Sumarno
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 7 (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.v2i7.1537

Abstract

Objective: This study aims to design and develop a web-based reservation system for Café Gartenhütte using the User-Centered Design (UCD) method to enhance customer efficiency, convenience, and overall user experience in the reservation process. Method: The research adopts a user-focused approach through several stages, including collecting user requirements via interviews and surveys, designing an intuitive and responsive interface, and conducting usability testing to evaluate system performance and user satisfaction. Results: The developed web application successfully enables customers to make online reservations, manage booking schedules, and receive automated reservation confirmations. The implementation of this system has improved service speed, reduced manual errors, and enhanced both customer satisfaction and operational productivity at the café. Novelty: The distinct contribution of this research lies in the integration of the UCD approach into the reservation system design for small-scale businesses, ensuring that every development stage is based on real user needs, thereby producing a more efficient, user-friendly, and adaptable digital service platform.
THE ROLE OF CELEBRITY ENDORSEMENT, CONTENT MARKETING, AND PRODUCT QUALITY ON PURCHASING DECISIONS OF ULTRA MILK BRAND UHT MILK PRODUCTS Yunia Najachatul Chusnah; Lilik Indayani; Kumara Adji Kusuma; Rizky Eka Febriansah
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 7 (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.v2i7.1538

Abstract

Objective: This study aims to analyze the influence of Celebrity Endorsement, Content Marketing, and Product Quality on Purchasing Decisions for Ultra Milk brand UHT milk products in Sidoarjo. Method: The research adopts a quantitative approach with a population consisting of consumers residing in Sidoarjo who have purchased Ultra Milk products. A total of 100 respondents were selected using the purposive sampling technique, and data were collected through a structured questionnaire. The data analysis was performed using IBM SPSS Statistics Version 26 for Windows to test the effect of each independent variable on purchasing decisions. Results: The findings reveal that Celebrity Endorsement has a negative and insignificant impact on Purchasing Decisions, while both Content Marketing and Product Quality have positive and significant effects. Novelty: This study provides a contemporary perspective on consumer purchasing behavior in the dairy industry by integrating digital marketing variables with traditional marketing elements, offering valuable insights for companies seeking to optimize marketing strategies in competitive fast-moving consumer goods (FMCG) markets.
WEB-BASED FOOD SALES INFORMATION SYSTEM USING AGILE METHODS AT AMPERA SARI MINANG RESTAURANT Rahmad Dana; Suhendro Busono
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 7 (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.v2i7.1539

Abstract

Objective: This study aims to develop a web-based food sales information system designed to enhance operational efficiency and customer satisfaction in the culinary business sector. Method: The system was developed using a structured software engineering approach, employing modern web technologies such as HTML, CSS, and JavaScript for the frontend, PHP or Python for the backend, and MySQL as the database management system. The development process included stages of system design, implementation, and testing to ensure functionality and usability. Results: The implementation results indicate that the system effectively streamlines business operations by reducing transaction processing time, improving data accuracy, enabling real-time stock monitoring, and facilitating easier access to information for both sellers and customers. Additionally, the integration of digital payment features enhances transaction convenience and minimizes manual errors. Novelty: The novelty of this research lies in the integration of a comprehensive management system—covering menu, orders, stock, and payments—into a single platform tailored for small and medium-sized culinary enterprises, thereby promoting digital transformation within the food service industry.
WEB-BASED CLOTHING SALES INFORMATION SYSTEM FOR FREYEAYCLOTHING MICRO AND MEDIUM ENTERPRISES Terris Aldio Rahmad Santoso; Suhendro Busono
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 8 (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.v2i8.1540

Abstract

Objective: This study aims to design and implement a web-based sales information system for the micro and medium enterprise “FreyeayClothing” to overcome challenges in managing sales transactions, inventory, and financial reporting efficiently. Method: The system was developed using the Agile development methodology, which involves iterative stages of planning, designing, developing, testing, and deployment to ensure adaptability and continuous improvement based on user feedback. Results: The implementation of this web-based system significantly enhanced operational efficiency, particularly in the management of sales and inventory data. The automated processes reduced manual errors, improved data accuracy, and provided timely access to sales information. Additionally, the system’s reporting features supported more effective business decision-making through real-time financial insights. Novelty: The novelty of this research lies in the application of the Agile method for developing a scalable and adaptive web-based information system specifically tailored for micro and medium enterprises, demonstrating its effectiveness in improving digital transformation and decision-making processes in small-scale retail operations.
THE RELATIONSHIP OF PRODUCT KNOWLEDGE, COMPANY IMAGE, AND PROMOTION ON PURCHASING DECISIONS FOR UNILEVER INDONESIA PRODUCTS IN SIDOARJO Rangga Ramadhani; Rizky Eka Febriansah
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.v1i12.1541

Abstract

Objective: This study aims to examine the relationship between product knowledge, company image, and promotional activities with consumer purchasing decisions in the context of an increasingly competitive business environment. Method: A quantitative research design with a correlational approach was employed, involving a sample of 100 respondents selected to represent consumer perceptions. Data were analyzed statistically to determine the strength and significance of relationships among the studied variables. Results: The findings reveal that product knowledge, company image, and promotion each have a positive and significant relationship with purchasing decisions. These results indicate that consumers’ understanding of products, perceptions of corporate reputation, and exposure to promotional efforts jointly influence their decision-making process. Novelty: This research contributes to the existing literature by providing updated empirical evidence on the determinants of purchasing behavior in Indonesia, highlighting the synergistic role of cognitive and perceptual factors in shaping consumer decisions within an emerging market context.
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.
WEB-BASED PRINT ORDER INFORMATION SYSTEM AT DUTA PRINTING AND COPY SIDOARJO Safira Yuniardani; Nuril Lutfi Azizah; Rohman Dijaya; Arif Senja Fitrani
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.v1i12.1543

Abstract

Objective: This study aims to develop a web-based printing ordering information system to improve the efficiency and service quality of Duta Printing & Copy, a business that previously relied on manual order recording methods. Method: The research applies a system development approach using PHP as the programming language and a MySQL database to manage order, payment, and customer data. The system design follows the waterfall model, including analysis, design, implementation, and testing stages to ensure reliability and usability. Results: The developed web-based system successfully accelerates the ordering process, minimizes human error, and provides real-time access to payment and order status information. This improvement enhances operational efficiency and customer satisfaction. Novelty: The study presents an integrated digital solution tailored for small-scale printing businesses, bridging the gap between traditional manual services and digital automation, thereby offering a practical model for digital transformation in local service enterprises.
AI ASSISTANT-BASED CHATBOT APPLICATION IN SOLVING CODING SCRIPT ISSUES USING THE OLLAMA LARGE LANGUAGE MODELS Achmad Maulana Rochman; Sumarno Sumarno; Suprianto Suprianto; Irwan Alnarus Kautsar
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.v1i12.1544

Abstract

Objective: This study aims to design and implement an artificial intelligence (AI)-based chatbot to assist software developers in debugging and generating programming solutions using Large Language Models (LLM) from Ollama. Method: The system was developed using the Waterfall methodology, encompassing stages of requirements analysis, design, implementation, testing, and maintenance. The AI model operates locally through Ollama, while Streamlit serves as the user interface for interactive communication between users and the chatbot. Results: Testing results show that the chatbot provides accurate and contextually relevant responses to programming queries, effectively supporting developers in debugging and code recommendation tasks. However, optimization is needed to improve system response time and processing efficiency. Novelty: The integration of a locally deployed LLM with a Streamlit-based interface presents a practical and secure solution for AI-assisted programming support, highlighting its potential to enhance developer productivity and reduce reliance on external cloud-based AI services.
LEGAL REGULATIONS FOR THE USE OF AI CHATGPT IN PREPARING THESES REGRADING COPYRIGHT AND ACADEMIC ETHICS Jaylu Kosasih; Mochammad Tanzil Multazam
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.v1i12.1545

Abstract

Objective: This study aims to analyze the legal framework governing the use of Artificial Intelligence (AI) tools, particularly ChatGPT, in the preparation of student theses, focusing on copyright and academic ethics. Method: The research employs a normative juridical approach with a statutory analysis, utilizing primary legal materials such as Law No. 12 of 2012 on Higher Education, Law No. 28 of 2014 on Copyright, Law No. 19 of 2016 on Electronic Information and Transactions (ITE), Government Regulation No. 4 of 2014 on the Implementation of Higher Education, PERMENDIKBUD No. 3 of 2020 on National Higher Education Standards, and Circular Letter of the Minister of Communication and Information No. 9/2023. Results: The findings show that the use of AI ChatGPT in academic writing is legally permissible as long as students comply with copyright laws, uphold academic integrity, and appropriately cite sources. Novelty: This study contributes to the academic and legal discourse by clarifying the ethical and regulatory boundaries for AI-assisted research, emphasizing responsible use of technology in maintaining originality and academic honesty.

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