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Menampilkan 1–6 dari 6 artikel
Reflections on the 1917 Russian Revolution in George Orwell's Animal Farm: M.H. Abrams' Mimetic Approach
Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya
Vol 4
, No 1
(2026)
This study analyzes George Orwell's novel Animal Farm as a reflection of social conflicts in the 1917 Russian Revolution using M.H. Abrams' mimetic approach. The novel functions as an allegory, with Mr. Jones representing Tsar Nicholas II, Snowball as Leon Trotsky, and Napoleon as Joseph Stalin. Through the mimetic approach, this research identifies how the rebellion, power struggles, and the corruption of revolutionary ideals are depicted in the novel, ultimately leading to dictatorship that mi...
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Reflections on the 1917 Russian Revolution in George Orwell's Animal Farm: M.H. Abrams' Mimetic Approach
Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya
Vol 4
, No 1
(2026)
This study analyzes George Orwell's novel Animal Farm as a reflection of social conflicts in the 1917 Russian Revolution using M.H. Abrams' mimetic approach. The novel functions as an allegory, with Mr. Jones representing Tsar Nicholas II, Snowball as Leon Trotsky, and Napoleon as Joseph Stalin. Through the mimetic approach, this research identifies how the rebellion, power struggles, and the corruption of revolutionary ideals are depicted in the novel, ultimately leading to dictatorship that mi...
Sumber Asli
Google Scholar
DOI
Pengembangan Instrumen Uji Perlambatan Kendaraan Berdasarkan Gerak Lurus Berubah Beraturan pada Metode Road Test
Wibowo, Muhammad Riski Septiana
; Hakim, M. Iman Nur
; Shofiah, Siti
; Risqi, Muhammad Isro
; Firdaus, Denisya Haddad
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 3
, No 5
(2025)
The braking system was a crucial component in ensuring the safety of motor vehicles on the road. Brake failures, such as brake fade or total malfunction, could result in fatal accidents. Therefore, an accurate and realistic testing method was necessary to measure the effectiveness of a vehicle’s braking system. This study aimed to develop a deceleration measuring device based on GPS, which could be used in road test methods. The device was designed using an ESP32 microcontroller combined with a...
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Integrated Digital Twin and Physics Informed Machine Learning Model for Real Time Performance Prediction of Industrial Mechanical Systems
International Journal of Mechanical, Industrial and Control Systems Engineering
Vol 2
, No 2
(2025)
Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system b...
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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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Explainable Artificial Intelligence Techniques for Enhancing Interpretability and Trustworthiness in Autonomous Vehicle Decision Making Systems
Ahmad Jurnaidi Wahidin
; Siti Shofiah
; Siska Narulita
; Deny Prasetyo
; Ardy Wicaksono
; Teguh Arifianto
; Muhamad Furqon
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
Autonomous vehicles (AVs) are revolutionizing transportation by relying on advanced AI techniques like deep learning and reinforcement learning for decision-making and navigation. However, concerns about the opacity of traditional AI models in safety-critical applications such as autonomous driving raise issues related to safety, accountability, and trust. This study explores the integration of Explainable AI (XAI) techniques in AV systems to enhance transparency and interpretability while maint...
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