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Analisis Arsitektur Data dalam Database Perusahaan E-Commerce: Studi Kasus Shopee Dinda Audia Syahira; Muhammad Irwan Padli Nasution
JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Vol. 2 No. 2 (2025): JURNAL AKADEMIK EKONOMI DAN MANAJEMEN  Juni
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jaem.v2i2.5112

Abstract

The development of information technology has driven the rapid growth of the e-commerce industry. In a digital business environment like Shopee, efficient data management and architecture are key to supporting scalability, transaction speed, and data-based decision making. This study aims to analyze the data architecture used in the Shopee e-commerce platform, including the storage structure, data integration, and processing systems used. This research method is qualitative with a literature study approach and case study analysis based on technical publications and trusted sources. The results show that Shopee adopts a cloud-based distributed data architecture with the use of big data and microservices technology to support operational and analytical needs. The conclusion of this study emphasizes the importance of importance, scalability, and security in data architecture design for modern e-commerce companies.
Analisis Integritas Akademik dan Pemanfaatan Teknologi AI dalam Keberhasilan Pendidikan Digital Nazwa Hanifah; Dinda Audia Syahira; Alfa Rizi Azhari; Abdul Kholik Nasution; Nurbaiti Nurbaiti
Jurnal Transformasi Bisnis Digital Vol. 2 No. 4 (2025): Juli: Jurnal Transformasi Bisnis Digital (JUTRABIDI) 
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jutrabidi.v2i6.1108

Abstract

The rapid development of artificial intelligence technology, particularly through the use of language models such as ChatGPT, has brought about significant changes in educational practices in Indonesia. The use of this technology has contributed to the creation of a more efficient learning process while enriching students' abilities to master and understand material more comprehensively. However, the use of AI in academic activities presents a number of problems, particularly related to scientific integrity, including an increased risk of digital plagiarism and a decline in critical thinking skills. In view of these developments, this study focuses on examining how the use of ChatGPT affects academic integrity and the quality of digital learning at UIN North Sumatra. This study applies a descriptive qualitative method, in which data is collected through interviews with five students from the Faculty of Economics and Islamic Business (FEBI) to gain a deeper understanding of their perceptions of the use of artificial intelligence in learning activities. The findings show that although ChatGPT provides convenience and efficiency in the learning process, students emphasize the importance of supervision and knowledge of ethics so that this technology can be used appropriately and responsibly. Therefore, universities need to strengthen digital literacy and ethics among students and increase supervision to ensure that the use of this technology does not compromise academic integrity. This research contributes to a deeper understanding of the impact of AI use on academic integrity in Islamic universities in Indonesia.