Prabukusumo, M Azhar
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Digitalization of guest record management through a web-based information system to support security and efficiency Mawadah, Helvina Salsabila; Prabukusumo, M Azhar; Saputra, Bagus Hendra
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 2 (2025): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i2.297

Abstract

Digitization of visitor registration improves efficiency and security in visit management in many institutions. This project seeks to create a web-based information system that replaces manual registration techniques to reduce the possibility of data loss and inaccuracy of registration, while increasing the efficiency and accuracy of guest information processing. The study used a software development methodology that leverages the Rapid Application Development (RAD) concept, which facilitates rapid and adaptive system development. The novelty of this system lies in its integration of automated blacklist detection and personalized notification workflows, features that are not commonly found in prior visitor registration systems. The system was designed and implemented specifically within an institutional environment but has the potential to be generalized and adapted for diverse organizational contexts, including government offices, corporate facilities, and educational institutions. The study results show that the web-based information system improves efficiency in visitor registration through automated verification, real-time monitoring, and notification integration, thereby facilitating safer and more organized guest management. This solution aims to enable institutions to improve their visitor reception processes, strengthen workplace security, and facilitate digital transformation in visit management.
Implementation of association method using fp-growth algorithm on sales transaction data at Koperasi Primer Pullahta Hankam Pusdatin KEMHAN RI Aulia, Regifia Ningrum Nur; Prabukusumo, M Azhar; Hidayati, Ajeng
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.446

Abstract

The conventional recording of sales transaction data frequently results in inaccuracies and presents significant obstacles to comprehensive data analysis. This study was conducted at Primkop Pullahta Hankam Pusdatin Kemhan RI with the aim of generating a product list based on item categories that are most frequently purchased together. These item combinations are expected to assist the cooperative in optimizing sales performance. The research employed a data mining technique known as association rule mining, which is designed to identify and predict customer purchasing behavior through analysis of transaction patterns. The dataset used comprised sales transaction records collected between September and November 2024. The FP-Growth algorithm was selected for its efficiency in identifying frequent itemsets without candidate generation. This algorithm utilized minimum support and confidence thresholds to generate association rules. The modeling process produced five association rules, each meeting the criteria of a minimum support of 20% and a minimum confidence of 80%, indicating strong co-occurrence among specific product combinations. Functional testing using the blackbox method demonstrated that all implemented features performed in accordance with specified functional requirements. The findings offer valuable insights for cooperative management by enabling data-driven decision-making in inventory planning, promotional bundling, and strategic sales targeting. These implications underscore the practical contribution of the research in enhancing operational efficiency and sales strategy within the cooperative sector.
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.