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Menampilkan 1–5 dari 5 artikel
Energy Aware Reinforcement Learning Approach for Dynamic Production Scheduling Optimization in Sustainable Smart Manufacturing Environments
Yogiek Indra Kurniawan
; Krisna Widi Nugraha
; Rosyid Ridlo Al-Hakim
; Erick Fernando
; Rian Ardianto
; Genrawan Hoendarto
; Mursalim Mursalim
International Journal of Mechanical, Industrial and Control Systems Engineering
Vol 2
, No 4
(2025)
Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a...
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AI driven Circular Waste to Energy Conversion System Using Smart Thermal Monitoring and Emission Optimization for Sustainable Urban Infrastructure
Kiki Ahmad Baihaqi
; Krisna Widi Nugraha
; Rian Ardianto
; Rosyid Ridlo Al-Hakim
; Riza Phahlevi Marwanto
; Erick Fernando
International Journal of Engineering and Applied Science
Vol 2
, No 2
(2025)
This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recover...
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What Factors Should Muzakki Know Before Paying Zakat
Kiki Razroma Yantika
; Iiz Izmuddin
; Widi Nugraha
Proceeding. of The International Conference on Business and Economics
Vol 2
, No 2
(2024)
The purpose of this research is to see what factors must be known by muzakki before paying zakat. The method of this research is This research is a type of literature research; This means that the information materials used come from library sources in the form of books, encyclopedias, magazines, journals, newspapers, journals, and others (Sutrisno Hadi 1987). The form of this research is descriptive, analytical, and critical. Therefore, the author can comprehensively describe what factors must...
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AI-Based Vision Inspection System for Automated Defect Detection in Additive Manufacturing Processes Using Deep Learning and Transfer Learning Approaches
Dani Sasmoko
; Krisna Widi Nugraha
; Rian Ardianto
; Rosyid Ridlo Al-Hakim
; Helmi Wibowo
; Rinna Rachmatika
International Journal of Industrial Innovation and Mechanical Engineering
Vol 1
, No 2
(2024)
Background: Additive manufacturing (AM) requires reliable and efficient defect detection mechanisms to ensure structural integrity and product quality, yet conventional inspection approaches remain time-consuming and often unsuitable for real-time industrial deployment. Objective: This study aims to develop and experimentally validate an artificial intelligence based vision inspection system capable of accurately detecting surface defects in AM components. Methods: A Convolutional Neural Network...
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A Novel Hybrid Cloud Edge Resource Allocation Algorithm to Optimize Real Time Big Data Stream Processing in Distributed Computing Environments
Wirasto, Anggit
; Khoirun Nisa
; Krisna Widi Nugraha
; Rian Ardianto
; Rosyid Ridlo Al-Hakim
; Yanuar Wicaksono
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload int...
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