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Menampilkan 1–4 dari 4 artikel
Adaptive Cyber Secure Software Engineering Practices for Big Data Platforms With Dynamic Access Control and Differential Privacy Mechanisms
Ahmad Budi Trisnawan
; Priyo Wibowo
Big Data Analytics and Data Science
Vol 1
, No 1
(2026)
Big data platforms face significant challenges related to cybersecurity and privacy due to the vast volume, variety, and velocity of data they manage. Traditional static security measures often fail to address the dynamic and complex nature of big data environments. This research proposes an adaptive cybersecurity framework that integrates dynamic access control and differential privacy mechanisms to enhance both the security and privacy of big data platforms. The dynamic access control mechanis...
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Analyzing the Role of Enterprise Information Systems in Driving Organizational Innovation: A Multi Method Study
Ahmad Budi Trisnawan
; Muhammad Sholikhan
; Iwan Koerniawan
Information System Analysis, Design and Development
Vol 1
, No 1
(2026)
This study investigates the role of Enterprise Information Systems (EIS) in driving innovation within organizations. The research employs a mixed-method approach, combining survey-based structural analysis and in-depth organizational case studies to explore how different EIS capabilities influence organizational innovation. The study focuses on four key EIS capabilities: functional capabilities such as workforce management and customer value creation; technological capabilities including ERP sys...
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Algorithmic Simulation for Optimization in Combinatorial Mathematics Using Heuristic Techniques
Ahmad Budi Trisnawan
; Syed Asif Ali
; Erlita Sulistiati
International Journal of Applied Mathematics and Computing
Vol 2
, No 3
(2025)
This research explores the effectiveness of heuristic techniques for solving combinatorial optimization problems, with a particular focus on the Traveling Salesman Problem (TSP). Combinatorial optimization is a critical area of study, especially in fields like computer science, engineering, and economics, where finding optimal solutions from a finite set of possibilities is crucial. However, the NP-hard nature of many combinatorial problems, such as the TSP, makes traditional exact methods like...
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Adaptive Edge-AI Framework for Real-Time Cyber-Physical Systems in Smart Cities with Resource-Constrained IoT Devices
Benny Martha Dinata
; Ahmad Budi Trisnawan
; Eram Abbasi
Journal of Information Technology and Computer Science
Vol 1
, No 2
(2025)
This research focuses on the development and evaluation of an Adaptive Edge-AI framework designed to optimize real-time data processing and decision-making in resource-constrained environments, specifically within smart city infrastructures. The primary problem addressed is the challenge of minimizing latency, reducing energy consumption, and ensuring the reliability of Cyber-Physical Systems (CPS) when using Internet of Things (IoT) devices. The objective of the study is to assess the effective...
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