Adha, Rochedi Idul
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The development of a data lakehouse system for the integration and management of cyber threat intelligence data in XYZ unit Chan, Ricky; Dhaifullah, Rendi Hanif; Saragih, Hondor; Lediwara, Nadiza; Adha, Rochedi Idul
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 1 (2025): March: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i1.293

Abstract

Cybersecurity systems are evolving to deal with increasingly complex digital threats. One of the main challenges in this field is integrating and managing Cyber Threat Intelligence (CTI) efficiently. This research aims to design and implement Data Lakehouse as a solution to manage CTI data in XYZ Unit. The system was built using Apache Spark, MinIO, Dremio, Nessie, and Apache Iceberg with a containerization approach using Docker to ensure flexibility and ease of implementation. The implementation results show that the system successfully integrates various CTI data sources and improves efficiency in data storage, processing, and analysis. MinIO is used as the primary storage, Apache Spark processes data at scale, Dremio enables real-time data analysis, and Nessie manages data version control to maintain its integrity. Blackbox testing proves that the system can work optimally, with results showing improved data integration and efficiency in managing cyber threat information. Thus, the developed Data Lakehouse can be an effective solution in supporting threat detection and strategic decision-making in XYZ Unit.
Implementation of gaming In the cloud through construct engine applications on heroku infrastructure Phatoni, Khaerul Imam; Adha, Rochedi Idul; Manurung, Jonson; Prabukusumo, M Azhar; Piliang, Rizqullah Aryaputra; Nasyira, Muhammad Sulthan
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.478

Abstract

This study presents a performance analysis of real-time multiplayer gaming through web-based game engines deployed on cloud Platform-as-a-Service infrastructure, specifically examining Construct 3 integration with Heroku's managed deployment platform. A multiplayer Pong game was developed to evaluate the viability of browser-based gaming architectures for real-time applications, utilizing WebSocket communication protocols, room-based session management, and hybrid client-server prediction models. The implementation demonstrates five architectural components: secure WebSocket connection establishment, 60 frames-per-second server-side game state synchronization, minimal cloud deployment configuration, scalable room management supporting multiple concurrent sessions, and responsive input handling with client-side prediction. Performance evaluation with ten concurrent game instances revealed exceptional resource efficiency, consuming maximum 34 megabytes memory with dyno load averages of 0.01, validating JavaScript-based server implementations for real-time gaming applications. The results indicate that web-based game engines can achieve performance characteristics traditionally associated with dedicated server architectures while maintaining significant advantages in development velocity, deployment simplicity, and operational efficiency. The study contributes evidence supporting the democratization of multiplayer game development through accessible web technologies, demonstrating that traditional barriers between browser-based and native gaming applications are diminishing as platform capabilities mature. These findings establish benchmarks for web-based multiplayer gaming performance and provide foundation for future research in cloud-based game development paradigms.