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All Journal Brilliance: Research of Artificial Intelligence
Muhammad Ikhwani
Universitas Malikussaleh, Indonesia
Decision Sciences, Operations Research & Management Mathematics Other

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Web-Based GIS for Oil Palm Land Suitability Assessment Using MAUT in Mandailing Natal Regency Nanda Sitti Nurfebruary; Taufik Yunan Simamora; Fidyatun Nisa; Muhammad Ikhwani
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.v5i2.6458

Abstract

Land suitability assessment plays a critical role in plantation development planning, particularly for oil palm cultivation, which requires specific environmental conditions for optimal growth. Mandailing Natal Regency, a region with significant agricultural potential, necessitates a scientific approach to identify suitable areas for oil palm development. This study aims to develop a web-based Geographic Information System (GIS) integrated with the Multi-Attribute Utility Theory (MAUT) method to evaluate and map land suitability. The analysis utilizes both spatial and attribute data based on six key criteria: soil texture, rainfall, drainage, land slope, temperature, and soil pH. Each criterion is weighted according to its relative importance, and the MAUT method is applied to compute the overall utility value for each sub-district. The results are then visualized through an interactive GIS platform developed using the CodeIgniter framework. The system classifies land into four suitability categories: highly suitable (S1), moderately suitable (S2), marginally suitable (S3), and not suitable (N). The findings indicate that a substantial portion of the study area falls within the suitable and highly suitable categories, demonstrating strong potential for oil palm cultivation. This study provides a robust, data-driven tool to support decision-making in sustainable plantation development and improve land-use efficiency in Mandailing Natal Regency.
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.
Interactive Visualization of Food Security Trends in North Aceh with a Business Intelligence Dashboard Lidya Rosnita; Muhammad Ikhwani; Hafizh Al Kautsar Aidilof; Muhammad Muaz Munauwar
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.v5i2.7190

Abstract

Food security in North Aceh Regency faces multifaceted challenges, including production fluctuations, price instability, and fragmented monitoring data across various institutions. These issues often hinder timely decision-making and the formulation of effective policies. Therefore, this study aims to develop a comprehensive Business Intelligence (BI) dashboard that can interactively visualize food security trends in North Aceh to support data-driven and evidence-based decision-making. The research methodology involves integrating data from multiple sources such as the Central Bureau of Statistics (BPS) and the Department of Agriculture using the ETL (Extract, Transform, Load) process to ensure consistency and accuracy. A data warehouse was then designed to store and manage the consolidated datasets efficiently, followed by the development of an interactive visual dashboard as the main analytical tool. The resulting dashboard is capable of visualizing six key parameters of food security through thematic maps, trend graphs, and comparative charts that allow users to observe temporal and spatial patterns. Advanced interactive features such as filtering, drill-down analysis, and cross-filtering provide users with the flexibility to independently explore data from different perspectives. The analysis demonstrates that the BI dashboard effectively integrates fragmented datasets, simplifies complex information, and enhances analytical capabilities for stakeholders. Overall, the findings indicate that implementing an interactive BI dashboard is a strategic and innovative solution to transform food security monitoring in North Aceh into a more proactive, integrated, and adaptive governance system, thereby strengthening regional resilience and policy responsiveness.
Co-Authors Fidyatun Nisa Hafizh Al Kautsar Aidilof Lidya Rosnita Muhammad Muaz Munauwar Nanda Sitti Nurfebruary Siti Nayla Husna Taufik Yunan Simamora