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Design and Interface Development in Electrical Vehicle Powerline Communication Raihany Afifa Augusta; Irwan Purnama; Angga Rusdinar
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 2 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i2.3232

Abstract

The adoption of Electric Vehicles (EVs) is growing globally due to efficiency, technological advancements, and environmental benefits, though fossil-fueled vehicles still dominate Indonesia. Supported by government initiatives, Indonesia is transitioning to EVs, aiming for Net Zero Emissions by 2060. CAN-Bus technology is Critical to EV operation, enabling efficient communication between vehicle components. Integrating power line communication (PLC) with CAN-Bus, using existing electrical grids, enhances real-time monitoring and control, and companies like Continental Engineering Services are advancing gateway technologies for EV and charging station communication. This research proposes developing an Electrical Vehicle Power Line Communication (EVPLC) system to bridge this communication gap, supporting Indonesia's clean energy goals and EV adoption. Additionally, the project emphasizes the importance of effective design using Fusion 360 software and a user-friendly Human-Machine Interface (HMI) with Nextion. Combining these tools enhances the efficiency and accessibility of EV charging stations, contributing to a more robust and user-friendly EV ecosystem.
Studi Kuantitatif Respons Memristor Model Joglekar dan Biolek terhadap Variasi Sinyal Input Mohamad Ramdhani; Irwan Purnama
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.334

Abstract

This study aims to analyze the response of the Joglekar and Biolek memristor models to variations in input signals using LTspice simulations. Memristors, as key components in non-volatile memory technology and neuromorphic computing, have a unique ability to store information through changes in resistance that depend on the history of the current flowing. Although various mathematical models have been developed to represent the behavior of memristors, this research focuses on two of the most widely used models: Joglekar and Biolek. These two models differ in their mathematical approaches, particularly in the use of window functions to regulate the memristor's response to input signal variations. Simulations were performed with three different types of input signals: sinusoidal, square, and triangular waves, to evaluate the memristor's response to variations in signal frequency and amplitude. The data from the simulations were analyzed quantitatively using descriptive statistics, including mean, standard deviation, variance, median, and range calculations. The results show that the Joglekar model exhibits larger fluctuations compared to the Biolek model across all waveforms, particularly for the square wave. On the other hand, the Biolek model shows a more stable and consistent response. This study provides deeper insights into the advantages and limitations of each model in practical applications, especially in the development of memristor-based memory and neuromorphic computing systems