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Mochamad Nashrullah
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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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IOT-BASED PROTOTYPE DESIGN OF PT PLN (PERSERO) UP3 PASURUAN'S POST-PAID CUSTOMERS' TEMPORARY ELECTRICITY CIRCUIT BREAKER Muhammad Rizal Subakti; Akhmad Ahfas
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 4 (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.v2i4.1520

Abstract

Objective: This study addresses the issue of delinquent customer payment behavior, which negatively affects the sustainability of electricity distribution and often necessitates temporary power disconnections by utility providers. Method: A research and development (R&D) approach was employed to design and implement a mobile disconnection system using an Arduino Uno microcontroller, HC-05 Bluetooth module, and an Android-based Bluetooth Controller. Results: Testing demonstrated that the HC-05 module provided an effective connectivity range of up to 4 meters, with an average 0.8-second delay between command transmission from the Android application and execution by the Arduino Uno to cut off electricity. Novelty: The developed IoT-based voltage breaker application significantly improves operational efficiency and service responsiveness for utility officers in handling late-paying customers, thereby enhancing overall utility management and sustainability.
MODERN METHODS OF INCREASING LABOR EFFICIENCY IN ORGANIZATIONS THROUGH ENHANCING HUMAN DIGNITY Beshimov Hamidjon Sayidovich
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 10 (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.v2i10.1523

Abstract

Objective: This study aims to explore how enterprises, organizations, and institutions—both public and private—manage human resources to achieve greater efficiency and cost-effectiveness while preserving human dignity and enhancing employee potential. Method: The research employs a qualitative analytical approach, drawing from organizational management theories and case studies of enterprises with active primary trade unions to assess their impact on employee performance and workplace conditions. Results: The findings indicate that organizations which prioritize human-centered management practices and establish primary trade unions experience improved legal awareness among employees, enhanced socio-economic welfare, and stronger organizational cohesion. These factors collectively contribute to a more efficient, productive, and positive organizational environment. Novelty: This article offers an integrative perspective linking human dignity, labor relations, and organizational efficiency, emphasizing that sustainable productivity stems not merely from economic incentives but from institutional respect for employees’ rights, participation, and collective representation.
DESIGN OF HOAX FILTERING PLUGIN IN TWITTER APPLICATION USING SVM METHOD Agung Mulya Rasyiidi; Cindy Taurusta
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 5 (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.v2i5.1528

Abstract

Objective: This study aims to analyze and classify public sentiment toward prominent individuals on social media, focusing on distinguishing between acceptable opinion and hate speech. Method: A dataset comprising 700 tweets about public figures was collected and processed using the Support Vector Machine (SVM) classification algorithm, with Term Frequency–Inverse Document Frequency (TF-IDF) employed for feature weighting. The approach was chosen to evaluate the effectiveness of SVM in handling textual sentiment data. Results: The implementation of the SVM model demonstrated reliable performance in categorizing tweets according to sentiment polarity and identifying instances of hate speech. The TF-IDF weighting method enhanced the accuracy of feature representation within the model. Novelty: This study contributes to computational linguistics and social media analytics by providing an empirical evaluation of SVM’s capability in sentiment classification related to public figures, offering potential applications for automated monitoring of online discourse and hate speech detection.
COMPARISON OF AGREEMENTS FROM 4 PAY TV PLATFORMS SUCH AS NETFLIX, IQIYI, DISNEY HOTSTAR, AND WE TV REGARDING CONSUMER PROTECTION Lusiana Febri Lestari; Sri Budi Purwaningsih
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 5 (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.v2i5.1529

Abstract

Objective: This study aims to analyze the role of Indonesian positive law in regulating the sale of premium accounts through third parties and to assess the extent of consumer legal protection in such digital transactions. Method: The research adopts a normative juridical approach with a statutory and conceptual framework, supported by literature analysis and examination of relevant laws and regulations concerning e-commerce and consumer rights. Results: The findings reveal that current Indonesian legal provisions inadequately address the legality and consumer protection aspects of third-party premium account sales, creating a regulatory gap in the digital marketplace. The analysis indicates the need for clearer legal definitions, stronger enforcement mechanisms, and updated consumer protection frameworks to mitigate potential fraud and misuse. Novelty: This study contributes to the growing discourse on digital commerce law by highlighting the emerging legal implications of intangible digital goods transactions and proposing a structured legal perspective to enhance consumer protection in Indonesia’s rapidly evolving e-commerce environment.
THE INFLUENCE OF FINANCIAL LITERACY AND SPENDING HABITS ON SHOPPING DECISIONS IN MARKETS WITH PERSONAL PREFERENCE AS A MODERATION VARIABLE Arsy Maulana Firdaus; Sigit Hermawan
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 6 (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.v2i6.1530

Abstract

Objective: This study investigates the influence of financial literacy and spending habits on consumer decision-making among university students. Method: A quantitative approach was applied, involving a sample of 115 students from the Spring 2020 semester at the University of Sidoarjo. Data were analyzed using purposive sampling, validity and reliability testing, paired-probability hypothesis testing, and SPSS version 26 software. Results: The findings indicate that financial literacy has a positive and significant effect on consumer decision-making, whereas spending habits exert a negative effect. Novelty: The study highlights that financial literacy serves as a moderating factor in the relationship between financial behavior and decision-making, suggesting that sound financial management practices can enhance rational and informed consumer choices.
THE INFLUENCE OF EFFECTIVENESS, SECURITY AND LIFESTYLE ON STUDENT INTEREST IN TRANSACTIONS USING THE QUICK RESPONSE CODE INDONESIAN STANDARD (QRIS) Nazila Nur Aprilia; Fityan Izza Noor Abidin
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 6 (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.v2i6.1531

Abstract

Objective: This study examines the influence of effectiveness, security, and lifestyle on students’ interest in using the Quick Response Code Indonesian Standard (QRIS) for transactions. Method: A quantitative approach was applied with a sample of 187 accounting students from the 2020–2021 cohort at Muhammadiyah University of Sidoarjo. The purposive sampling technique was used, and data were collected through questionnaires based on a Likert scale derived from variable indicators. Data analysis was conducted using SPSS version 23. Results: The findings indicate that both effectiveness and security have a positive and significant impact on students’ interest in using QRIS. However, lifestyle does not have a significant effect on transaction interest. Conclusion: The results suggest that students’ adoption of QRIS is primarily driven by perceived efficiency and security rather than lifestyle factors, highlighting the importance of improving system reliability and performance to increase user engagement.
ACCOUNTING PARADIGM WITH THE PRESENCE OF ARTIFICIAL INTELLIGENCE Muhammad Tegar Hidayatullah; Wiwit Hariyanto
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 6 (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.v2i6.1532

Abstract

Objective: This study aims to explore how the emergence of Artificial Intelligence (AI) has transformed the paradigm of accounting practitioners, both in professional practice and accounting education. Method: The research adopts a qualitative approach with primary data sources, using data triangulation techniques to ensure the validity and reliability of findings. The study focuses on understanding the extent to which AI influences accounting professionals’ perspectives and work processes. Results: The findings indicate that the integration of AI has opened new opportunities for accounting practitioners to enhance their knowledge and adapt to technological innovations. AI contributes to the development of efficient financial databases, improved auditing processes, and more accurate financial reporting. Novelty: This study highlights the paradigm shift among accounting practitioners toward embracing AI-driven systems, emphasizing the evolving role of accountants from traditional record-keeping to strategic data analysis and decision support in the digital era.
WEB-BASED PHOTOGRAPHY SERVICES RENTAL INFORMATION SYSTEM AT MARS DWI JAYA PHOTO STUDIO Muhammad Iqbal Alfani; Yulian Findawati; Suprianto Suprianto; Metatia Intan Mauliana
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 6 (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.v2i6.1533

Abstract

Objective: This study aims to develop a web-based application for Mars Dwi Jaya Photo Studio to address the lack of accessible information for consumers and the difficulties encountered in determining service prices. Method: The research follows a system development approach by designing and implementing a website-based application using a MySQL database operated on a localhost server. The system architecture includes modules for service promotion, price management, and online order transactions, allowing administrators to manage content and customers to interact directly with the platform. Results: The developed application successfully facilitates online promotion and rental service transactions, enabling users to access information, compare prices, and make service bookings efficiently without visiting the studio physically. The system also enhances operational efficiency by reducing manual processes in price determination and customer service. Novelty: This study provides an innovative solution for small-scale photo studios by integrating online rental management and interactive customer communication into a single web-based platform, thus supporting the digital transformation of local creative businesses.
DESIGN OF A CLOTHING SALES INFORMATION SYSTEM BASED ON JAVA NETBEANS USING THE WATERFALL METHOD Achmad Yudha Pratama; Ika Ratna Indra Astutik
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 6 (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.v2i6.1534

Abstract

Objective: This study aims to develop an efficient and integrated information system to optimize the management of clothing sales within Micro, Small, and Medium Enterprises (MSMEs) in the retail sector, particularly those still operating with manual processes that are time-consuming and prone to errors. Method: The research employs the Waterfall model as a systematic software development approach, encompassing stages of requirements analysis, system design, implementation, testing, and maintenance. The system was developed using Java programming language with NetBeans IDE as the development environment and MySQL as the database management system. Results: The resulting Java-based Clothing Sales Information System successfully automates key business processes, including inventory management, transaction recording, and sales reporting, thereby improving data accuracy and operational efficiency. Novelty: The study contributes by presenting a practical and scalable information system model tailored to the needs of MSMEs in the retail clothing industry, demonstrating how digital transformation can enhance competitiveness and streamline business management in the era of globalization.
DESIGN OF A WEBSITE-BASED FRUIT SEED SALES INFORMATION SYSTEM Muhammad Nurhidayat; Arif Senja Fitrani; Ika Ratna Indra Astutik; 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.v2i7.1535

Abstract

Objective: This study aims to evaluate the effectiveness of the “Design of a Website-Based Fruit Seed Information System” in Tulangan District, Sidoarjo Regency, as a technological innovation to enhance agricultural management within the context of globalization and the Industrial Revolution 4.0. Method: The research employed a developmental and testing approach, where 10 users participated in system trials to assess usability, response time, and data accuracy. The system utilized a MySQL database and was evaluated based on service speed, data input success, and user satisfaction. Results: The findings revealed that the average service time was reduced to 5 minutes—significantly faster than manual transactions—with 80% of users successfully entering data and 90% expressing satisfaction with the system’s ease of use. The average seller response time ranged between 2–5 minutes, and all transactions were encrypted to ensure data security. Novelty: This study presents an innovative integration of digital technology into the agricultural sector, demonstrating how a web-based system can streamline seed sales, promote digital literacy among farmers, and improve agricultural productivity through efficient information management.

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