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Brilliance: Research of Artificial Intelligence
Published by Information Technology and Science
ISSN : -     EISSN : 28079035     DOI : https://doi.org/10.47709
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics Other
Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about Artificial Intelligence. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and colleagues will review. Articles sent to the Brilliance may not be published elsewhere. The manuscript must follow the author guidelines provided by Brilliance and must be reviewed and edited. Brilliance is published by Information Technology and Science (ITScience), a Research Institute in Medan, North Sumatra, Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 553 Documents
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Database Vulnerability Analysis of North Aceh e-Kinerja Website Using SQL Injection Fidyatun Nisa; Muhammad Ikhwani; Nanda Sitti Nurfebruary; Siti Nayla Husna
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6780

Abstract

The rapid advancement of information technology has significantly increased the risk of cyber threats, particularly in web-based systems. One of the most common attack techniques used to exploit vulnerabilities in web applications is SQL injection, which can result in sensitive data leakage and system compromise. This study aims to evaluate the database security of the E-Kinerja website of North Aceh Regency against SQL injection attacks using a black-box penetration testing approach. The assessment is conducted based on the Information Systems Security Assessment Framework (ISSAF), which provides a structured and systematic methodology for comprehensive security evaluation. The testing process includes several stages, namely planning and preparation, information gathering, network mapping, vulnerability identification, and penetration testing, utilizing tools such as SQLMap and OWASP ZAP. The results indicate that the target website is not vulnerable to SQL injection attacks, as no exploitable parameters were identified during testing. This is largely due to the implementation of security mechanisms such as Web Application Firewall (WAF) and Intrusion Prevention System (IPS), which effectively detect and prevent unauthorized access attempts. This study highlights the importance of implementing layered security strategies and continuously updating security protocols to address emerging cyber threats. The findings contribute to improving database security awareness and provide practical recommendations for strengthening the resilience of information systems in the government sector.
Assessment of E-learning Activity During COVID-19 Pandemic using Data Science Technique Eka Angga Laksana; Viddi Mardiasyah; Sunjana Sunjana; Yosi Malatta Madsu; Iwa Ovyawan Herlistiono; Andry Septian Syahputra Tumaruk
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7979

Abstract

The emerging of COVID-19 pandemic has become a threat to humanity, many activities of higher education forced to use Learning Management Systempad. This sudden transition significantly changed traditional face-to-face learning into fully online or blended learning environments, requiring both lecturers and students to quickly adapt to digital platforms and new methods of interaction.It provides various tools such as online quizzes, discussion forums, assignment submissions, and learning resources that can be accessed anytime and anywhere. Through these features, lecturers are able to distribute materials, monitor student participation, and evaluate learning outcomes more efficiently.The log records include information such as login frequency, access to learning materials, participation in discussion forums, quiz attempts, and assignment submissions.By applying data mining, statistical analysis, and data visualization methods, complex and unstructured log data can be transformed into meaningful insights. These visual representations help management identify trends, monitor student engagement, evaluate learning effectiveness, and support strategic decision-making in improving the quality of education.Processing log large data was optimized by the use of Graphics Processing Unit (GPU) and python programming language to extract, transform and load data (ETL) then convert the information to specific chart. By analyzing the result, we found some information regarded to student total activities by date, day, hour and also heatmap chart which represent total student activities by hour and day. Finally, the whole series of the processes are proposed as the assessment of e-learning activity on higher education.
Web-Based System Design And Implementation For Optimizing Pharmaceutical Logistics Management Samdika Maulana Hafiz; Arridha Zikra Syah; Mustika Fitri Larasati
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.8258

Abstract

Medication logistics management plays a crucial role in supporting healthcare services, particularly in ensuring the availability of medicines at community health centers. However, the Sei Kepayang Barat Community Health Center still faces several challenges due to the use of manual systems in recording, monitoring, and reporting pharmaceutical data. These limitations often result in data inconsistencies, delays in information processing, and difficulties in tracking drug stock in real time. This study aims to design and implement a web-based pharmaceutical logistics information system to improve the effectiveness and efficiency of drug management processes. The research employed a qualitative approach through observation, interviews, and literature review to identify system requirements and existing problems. The system was developed using PHP and MySQL, with system design modeled through Unified Modeling Language (UML), flowcharts, and Entity Relationship Diagrams (ERD). The results indicate that the implemented system is capable of integrating key processes, including drug inventory management, procurement, distribution, and reporting. Furthermore, the system enables real-time monitoring of stock levels, reduces human error in data entry, and accelerates report generation. Overall, the web-based system contributes to improving the accuracy, transparency, and efficiency of pharmaceutical logistics management at the health center, thereby supporting better decision-making and enhancing the quality of healthcare services.

Page 56 of 56 | Total Record : 553

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