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Menampilkan 1–6 dari 6 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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Carbon Neutral Industrial Process Optimization through Hybrid Machine Learning and Real Time Energy Efficiency Monitoring Framework
Suyahman Suyahman
; Ardy Wicaksono
; Dwi Utari Iswavigra
; Yogiek Indra Kurniawan
; Very Dwi Setiawan
; Dedi Setiadi
International Journal of Engineering and Applied Science
Vol 2
, No 2
(2025)
Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving envi...
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Autonomous Mobile Robot Navigation Optimization in Dynamic Warehouse Environments Using Reinforcement Learning and Sensor Fusion Techniques
International Journal of Industrial Innovation and Mechanical Engineering
Vol 1
, No 2
(2024)
Background: The rapid growth of warehouse automation and autonomous mobile robots has increased the need for adaptive navigation systems capable of operating safely and efficiently in dynamic industrial environments. Classical path planning algorithms such as A* and RRT perform well in structured settings but exhibit limitations when handling moving obstacles and environmental uncertainty. Objective: This study aims to develop and evaluate a reinforcement learning based navigation framework inte...
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Adaptive Reinforcement Learning Driven Intrusion Detection and Response Mechanisms for Zero Trust Architecture in 5G and Beyond Networks
Dwi Utari Iswavigra
; Ahmad Jurnaidi Wahidin
; Yogiek Indra Kurniawan
; Yulaikha Maratullatifah
; Tuti Susilawatii
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates...
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Peningkatan Kapasitas Petani di Kelurahan Kedungbunder Melalui Sosialisasi Petani Mandiri Pupuk
Eva Nurul Malahayati
; Dwi Ahmad Fajar Anwarudin
; Indra Kurniawan
; Firna Nofitriyana
; Deny Iswahyudi
; Pramu Adistyan
; Auzik Amri Mashula
Jurnal Pengabdian Kepada Masyarakat
Vol 4
, No 1
(2024)
The majority of the people of Kedungbunder Village, Sutojayan District, Blitar Regency work as farmers and livestock breeders. Farmers in Kedungbunder Village complain that the price of non- subsidized fertilizer is expensive and subsidized fertilizer from the government is difficult to obtain, thus affecting agricultural productivity. This socialization aims to provide understanding and skills to farmers in making and using liquid organic fertilizer from agricultural waste and natural materials...
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Pelatihan Pembuatan Website Pembelajaran Menggunakan Google Site Learning Website Development Training Using Google Site: Learning Website Development Training Using Google Site Learning Website Development Training Using Google Site
Endaryono Endaryono
; Mahyudi Mahyudi
; Aswin saputra
; Indra Kurniawan
Jurnal Suara Pengabdian 45
Vol 1
, No 2
(2022)
Working and studying from home is a demand that must be done at this time, since the Covid-19 pandemic due to the Corona virus. Schools were closed, teaching and learning activities were transferred online at home. Due to these demands, many teachers and parents are required to start adapting to distance learning activities, using technology. Bridging this, Google Indonesia launched the Teaching from Home initiative. Google provides a special website for teaching and learning activities for scho...
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