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INDONESIA
JURNAL NASIONAL TEKNIK ELEKTRO
Published by Universitas Andalas
ISSN : 23022949     EISSN : 24077267     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Jurnal Nasional Teknik Elektro (JNTE) adalah jurnal ilmiah peer-reviewed yang diterbitkan oleh Jurusan Teknik Elektro Universitas Andalas dengan versi cetak (p-ISSN:2302-2949) dan versi elektronik (e-ISSN:2407-7267). JNTE terbit dua kali dalam setahun untuk naskah hasil/bagian penelitian yang berkaitan dengan elektrik, elektronik, telekomunikasi dan informatika.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 14, No 1: March 2025" : 5 Documents clear
Speed Control of An Autonomous Electric Vehicle Using Fuzzy Logic With Computer Vision-Based Input Fortuna Sinulingga , Regita; Suprapto, Bhakti Yudho; Dimsyiar M Al Hafiz; Farhan Abie Ardandy; Javen Jonathan; Dwijayanti, Suci
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1165.2025

Abstract

A robust speed control mechanism ensures safety in an autonomous electric vehicle system. Such a system must dynamically adjust the vehicle's speed based on its surrounding environment. This research employs computer vision for object and road detection to measure the distance between the car and nearby objects. Fuzzy logic methods—specifically Mamdani and Sugeno—are utilized to automatically and stably regulate the speed of autonomous electric vehicles from their starting point to their destination. The control system considers various road conditions, including left-slanting, straight, and right-slanting roads, and the real-time presence or absence of objects. Testing is conducted across three real-world scenarios using distance and steering angle inputs. The servo angle represents the output, which ranges from 0 to 1800 and corresponds to the vehicle's speed. The results indicate that the Mamdani method provides greater speed control accuracy than the Sugeno method, which relies on a singleton output. For conditions involving left-slanting, straight, and right-slanting roads with objects within a 10-meter range, the Mamdani method produced outputs of 1370, 1800, and 1370, respectively, aligning well with predefined speed control rules. In contrast, the Sugeno method yielded 880, 1470, and 650 outputs for the same conditions, which did not adhere to the predefined rules for slow, medium, and fast speeds. In conclusion, the Mamdani method demonstrates superior accuracy and suitability for speed control in autonomous electric vehicles compared to the Sugeno method.
Deteksi biji kakao kering dan basah menggunakan Convolutional Neural Network Muhammad Khalis Fikri; Adriman, Ramzi; Roslidar Roslidar; Syahrial
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1178.2025

Abstract

Cocoa is one of Indonesia’s leading export commodities crucial in supporting the national economy. However, a significant challenge in the post-harvest processing of cocoa lies in the drying stage, where uneven drying often leads to inconsistent bean quality. While previous studies have predominantly focused on classifying cocoa beans based on surface defects such as faded, non-faded, fragmented, moldy, and damaged beans, limited research has addressed classification based on moisture levels—specifically distinguishing between dry and wet beans, which is essential for ensuring optimal fermentation, proper storage, and overall product quality. This study presents a classification model based on a Convolutional Neural Network (CNN) employing the You Only Look Once (YOLO) architecture to detect and classify dry and wet cocoa beans by analyzing visual features, particularly color and shape. A dataset of 2,880 labeled images was compiled and used to train and evaluate the model. The proposed system demonstrated strong performance, achieving an accuracy of 99.8%, a precision of 99.15%, and a recall of 99.8%. These results indicate that the model can be a reliable and efficient tool for detecting moisture content in cocoa beans, thereby enhancing quality control, reducing human subjectivity in the inspection process, and supporting automation in the cocoa processing industry to ensure product consistency and added value in the export market.
Arduino-Based Baby Bath System with Accurate Water Level and Temperature Control Prasetyo, Arya Aji; Kurniawan, Edy; Johari, Norhasnidawani; Arifin, Rizal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1228.2025

Abstract

Infant bathing can be challenging for parents due to safety and temperature control concerns. This study aimed to develop and evaluate a fully automated baby bathtub system featuring water level and temperature control using an Arduino Mega 2560 microcontroller. This system was designed to ensure a safe and comfortable bathing environment for infants while providing convenience for parents. The methodology involved designing and assembling key components, including a 4x4 keypad, relays, water level, and temperature sensors. The system underwent comprehensive testing to evaluate its functionality and accuracy. The results showed that the system maintained a consistent water level of 9 liters and controlled water temperature within a narrow range. For example, when the actual water temperature was 37.8°C, the sensor reading was 37.5°C, demonstrating a minor deviation of 0.3°C. Overall, temperature deviations ranged from 0.5°C to 1.0°C from the setpoint. The total operation time for preparing the bathtub, including heating and filling, ranged from 15 to 20 minutes. All components functioned correctly during testing, confirming the system's reliability and accuracy. In summary, the automated baby bathtub system successfully meets its design objectives, offering a safe, efficient, and user-friendly solution for infant bathing while assuring parents of its safety and ease of use.
The Efficiency of MPPT in Mitigating the Effects of Partial Shading on Power Stability through the MPNO Method Dionova, Brainvendra Widi; Devan Junesco Vresdian; Dian Nugraha; Ariep Janeul; Abir Oktaviani; M.N.Mohammed
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1249.2025

Abstract

An electric vehicle charging station (EV charging station) is an infrastructure designed to charge electricity for electric vehicles. However, most EV charging stations still rely on fossil energy sources. Innovation is needed to overcome this problem. One of them is through the use of solar panels. Using solar panels on the CBMS turns it into a clean and environmentally friendly energy source. However, environmental factors such as weather significantly affect the energy conversion produced by solar panels. Panels that are covered by trees and tall buildings cause partial shading conditions. Partial shading conditions can result in a direct decrease in PV output power. To overcome this, output power optimization using a DC-DC converter is required. The MPPT boost converter system with a modified P&O method is designed to maximize the output power of solar panels when partial shading occurs. The test results show that the developed system can maximize the output power of solar panels in partial shading conditions with an average power increase of 8.13 and an efficiency of 91%. This method can reduce the negative impact of changes in light intensity, keep the system close to the maximum power point, and improve the efficiency of charging electric vehicles at SPKL during unstable weather conditions. However, the modified P&O method is less effective in maximizing the output power in standard solar panels. This research does not address the effectiveness of solar panels concerning temperature, humidity, and dust.
Improving Solar Cell Efficiency PV/T Using NEPCM by FEM Method Adriana, Syarifah; Jelita, Marhama
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1306.2025

Abstract

Energy generated from photovoltaic (PV) systems is often wasted, with about 80% converted to heat and only 20% converted to electricity. This indicates the need for further research to improve the energy conversion efficiency in PV systems. This study aims to analyze the cell efficiency and power generation in a photovoltaic-thermal (PVT) system with variations in nano-encapsulated phase change material (NEPCM) concentration and reservoir thickness. The developed PVT configuration includes a photovoltaic cell layer, a thermal paste layer, a reservoir wall, and a channel filled with nanofluid containing NEPCM surrounded by a protective shell.  The research method involves simulation using the Finite Element Method to measure system performance regarding energy conversion efficiency, with encapsulated PCM concentration variations at 2%, 10%, and 20%. Additionally, the laminar flow velocity used is 0.5 m/s under steady-state conditions, and the thickness of the PCM material used is 1 mm and 15 mm. The results show that increasing the NEPCM concentration by 5% can improve the electrical and thermal performance of the system by more than 50%. In addition, variations in reservoir thickness also contribute to the overall efficiency. This study concludes that the proposed PVT configuration can improve energy efficiency and optimize thermal management in the system, making it an effective solution for developing renewable energy technologies. Thus, implementing NEPCM in PVT systems can significantly contribute to overall energy efficiency.

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