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INDONESIA
JURNAL NASIONAL TEKNIK ELEKTRO
Published by Universitas Andalas
ISSN : 23022949     EISSN : 24077267     DOI : -
Core Subject : 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 610 Documents
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.
ADDIE-Based Development of a Solar-Powered Sprayer for Efficient Weed Control in Remote Oil Palm Plantations Abdul Manab; M Bahrul Muttaqin; Andre Rabiula; Ramadhani, Salisa 'Asyarina; Yosi Riduas Hais; Dasrinal Tessal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1221.2025

Abstract

Oil palm plantations in Indonesia demand efficient weed control methods, particularly for large-scale operations in remote areas. Manual pesticide sprayers are still commonly used, but they require high labor, long operating time, and are not energy-efficient. This study presents the design and development of a solar-powered pesticide sprayer using the ADDIE method—Analysis, Design, Development, Implementation, and Evaluation. The prototype consists of a 50 Wp monocrystalline solar panel, two 12V 24Ah VRLA batteries, a DC pump with variable pressure levels, and an Automatic Transfer Switch (ATS) for alternating battery use. The system is mounted on a frame suitable for motorcycle transport to improve field mobility and adaptability in plantation environments. Development followed all ADDIE phases and was validated through real-world field testing. Results showed a 75% reduction in spraying time—from 8 hours (manual) to 2 hours—with a maximum pressure of 70 PSI and a spray reach of 3.5 meters. The ATS allowed uninterrupted operation under varying sunlight conditions. This design offers greater energy efficiency, continuous usability, and flexible deployment compared to similar systems. The findings demonstrate the feasibility of applying solar energy to support sustainable weed management in off-grid agricultural settings, highlighting its potential for broader agricultural mechanization.
Design of Oxygen and Carbon Dioxide Monitoring System in Cocoa Fermentation with Internet of Things and Automatic Stirring System Sabila, Liya Yusrina; Linggar Rahmat Dwiyono; Agus Rahman Hakim; Abi Nazli Karuana; Dhias Cahya Hakika; Farrah Fadhillah Hanum
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1245.2025

Abstract

In some areas in Indonesia, more traditional cocoa farmers have yet to carry out special monitoring of O2 and CO2 levels during fermentation because the practices and technologies used by cocoa farmers can vary significantly in different regions and levels of development. The right amount and level of O2 and CO2  can regulate the activity of microorganisms and affect the overall fermentation process. The fermentation box is made using a wooden board measuring 50x50 cm and is equipped with a stirring blade inside. The sensors used are the Gravity O2 I2C Sensor and the CO2 Sensor MG-118, with a high torque D.C. motor as the stirring blade drive. The results of monitoring and controlling the stirrer are carried out using the Blynk IoT platform or directly on the fermentation box. The tests carried out include testing on an empty fermentation box and testing on the fermentation process of 1kg and 6kg cocoa. After carrying out the testing process, the sensors and IoT systems created can work optimally. The sensor test results in the cocoa fermentation process show a change in CO2 concentration, initially 400 ppm, increasing to a maximum of 1600 ppm. Meanwhile, the O2 concentration remains stable at 20-21% vol, and the stirrer can work optimally. The D.C. motor-driven stirrer can operate effectively with a stirrer response time of 2 seconds and a stirring efficiency of 95% at both fermentation loads (1kg and 6kg). The monitoring system integrated with the Blynk IoT platform shows a gas measurement accuracy rate of 98%, making it easier for cocoa farmers to monitor and control the fermentation process more accurately. The effectiveness of this system can improve the quality of cocoa fermentation results by optimizing fermentation conditions through the right O2 and CO2 levels.
Optimizing Lightning Arrester Selection for 275kV EHV Substations: A Comparison of Overvoltage Analysis with Software and Manual Calculations Bagus Irawan Saputra; Siregar, Marsul; Panjaitan, Lanny W
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1246.2025

Abstract

A substation is one of the essential aspects of an electrically interconnected system, especially in a grid utility. Power generation, transmission, and distribution systems always need a continuous power supply to the customer. In high voltage and extra high voltage substation, operation schemes during abnormal and normal conditions may cause transient overvoltage in the system, one of which is temporary overvoltage. Temporary overvoltage analysis is needed to validate the rated system voltage within the limit of the substation equipment’s insulation level, including the rating of the lightning arrester. This research will select a lightning arrester with the standard approach IEC 60099-5 and software simulation on a computer. Conducted temporary overvoltage analysis using software simulation, which resulted in a value of 2.02 pu higher than the operating voltage. This slightly differs from the IEC 60099-5 standard, which recommends a value of 1.6 pu of operating voltage. Software simulation is beneficial as it models the system according to specific network parameters, leading to an optimal selection when compared to standards with different approaches to results based on varying network parameters. Temporary overvoltage analysis could help determine the correct rating of the lightning arrester and further mitigation, such as line compensation, switching technique, and load management, ultimately leading to reliability in substation equipment and interconnection system networks.
Bahasa Inggris Imawati, Iftitah; Galang Ismu Kurniawan; Muhammad Rifan Ghifari; Muhammad Nauval; Fajar Arisandi; Hendra Setiawan; Husein Mubarok
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1252.2025

Abstract

The growing demand for electricity and the environmental impact of fossil fuels have driven the need for alternative, sustainable energy solutions. Hydropower, particularly in irrigation channels, offers a promising option for generating renewable energy. This study focused on developing a small-scale pico-hydro system to generate electricity from water flow in irrigation channels, designed for applications such as street lighting. The research contributes to advancing micro-hydropower technology by integrating an Internet of Things(IoT)-based monitoring system to optimize energy production and simplify performance tracking. The monitoring system enabled real-time tracking of generator output, battery voltage, and load current using a smartphone interface connected via the internet. The study involved laboratory and field testing in some irrigation canals in Yogyakarta, Indonesia. A water wheel turbine from galvanized plates and plastic converts water flow into electrical energy. Field tests confirmed the system’s ability to produce stable power. The system reached an overall efficiency of 11.38%. The data transmission delay through Blynk averaged 5.64 seconds, while total power consumption was 2,231 watts. Sensor measurements showed high accuracy, with generator voltage accuracy at 99.33% and load current accuracy at 99.26%. In conclusion, the pico-hydro system can effectively harness irrigation water for small-scale power generation, offering a viable, renewable energy source with efficient remote monitoring capabilities
Minimizing THD Using a Multilevel Inverter Integrated with MPPT Andi Syarifuddin; Pakka, Hariani Ma’tang; Halit Eren; Ahmed Saeed AlGhamdi; Umar, Umar; Widya Wisanti; Amelya Indah Pratiwi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1257.2025

Abstract

This paper presents a novel Modified Multilevel Inverter (MMLI) topology to reduce Total Harmonic Distortion (THD) in photovoltaic (PV) systems. Unlike conventional Cascaded H-Bridge Inverters, the proposed MMLI achieves higher output voltage levels using fewer switching components by optimizing the arrangement of voltage sources and switches. A Boost converter integrated with Maximum Power Point Tracking (MPPT) further enhances power conversion efficiency and system stability. This specific configuration has not been previously explored, offering a more effective solution for THD mitigation. Simulations conducted in MATLAB/Simulink demonstrate the inverter’s performance, with the 5-level MMLI achieving a THD of 28.99% and the 9-level configuration reducing it to 18.15%. These results confirm the superiority of the proposed topology in improving power quality and reducing system complexity. Moreover, the design eliminates the need for external filters, making it a cost-effective and practical option for grid-connected PV applications.
Smart Door Locking System for Children Using HC-SR04 and IoT Technology Melinda, Melinda; Yunidar, Yunidar; Khairia, Syaidatul; Miftahujjannah, Rizka; Sakarkar, Gopal; Basir, Nurlida
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1293.2025

Abstract

The increasing incidence of minors accessing hazardous indoor areas—such as staircases, balconies, and rooms with sharp objects—raises serious safety concerns, often due to insufficient parental supervision. This study proposes an Internet of Things (IoT)-based automatic door lock system to enhance child safety in home environments. The system integrates dual ultrasonic sensors for distance and height detection, a KY-037 sound sensor, and an ESP32-CAM for real-time video monitoring, all accessible via a web interface. A key novelty lies in the integration of multi-sensor spatial awareness with live surveillance, enabling automated control and proactive safety features. Tested on ten children aged 4 to 6 years, the system achieved a 90% success rate in locking the door when a child under 120 cm approached within 1 meter, with an average response time of approximately 2 seconds. A sound-based alarm is also triggered when noise levels exceed 120 decibels, serving as an emergency alert. However, a 10% false negative rate was observed when children were detected at distances of 1.3 to 1.5 meters, suggesting the need for further sensor calibration. Overall, the system demonstrates strong potential as a scalable and cost-effective smart home safety solution, combining automation, real-time monitoring, and child-specific access control. Future work should focus on improving detection accuracy and extending functionality for multi-object scenarios.
Incubator for Joper Day Old Chicks with Cohen-Coon PID Controller Chaidir, Ali Rizal; Widjonarko; Bukhori Muslim
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 3: November 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n3.1236.2025

Abstract

Joper (Jowo Super) chicken parents are generally unable to incubate eggs or provide adequate care for their offspring, making the use of a specialized incubator essential from the hatching phase to Day-Old Chick (DOC) rearing. One of the primary factors contributing to DOC mortality is improper temperature adjustment in the heating system. To ensure optimal early-age development, Joper DOC requires a stable thermal environment within the range of 32°C to 35°C, depending on the growth stage. This study aims to develop an incubator capable of maintaining a constant temperature of 32 °C using Cohen-Coon PID (C-C PID) control while also regulating humidity levels. The proposed incubator integrates an axial fan and an L298N driver, with the temperature and humidity sensors calibrated prior to use. The calibration results show measurement errors of 0.59% for temperature and 5.02% for humidity, indicating high reliability. The application of C-C PID control demonstrates strong performance, characterized by a short rise time (approximately 225 seconds), an acceptable settling time (around 510 seconds), minimal overshoot (1.56%), and a steady-state error approaching 0%. During a 30-minute evaluation period, the system successfully maintained a stable temperature at the 32 °C set point and controlled humidity at below 50% automatically. Furthermore, the incubator design proved effective in practical use, achieving a 0% mortality rate for Joper DOC.
Orca Predation Algorithm as an Innovative Solution for IEEE 30 Bus Vivi Aida Fitria; Zahratul Laily Binti Edaris; Azwar Riza Habibi; Lilis Widayanti
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 3: November 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n3.1296.2025

Abstract

The effective operation of the IEEE 30 Bus power system requires economic dispatch optimization to minimize production costs, align energy supply with demand, and ensure system stability. This economic dispatch problem is complex due to its non-linear characteristics, interdependence between generators, and the need to combine cost minimization with power loss reduction. Conventional optimization techniques often struggle to find global solutions, easily get stuck in local optima, and require significant computational time. This study introduces the Orca Predation Algorithm (OPA) as a new approach to address these challenges. Inspired by the hunting behavior of orcas, OPA balances exploration and exploitation through two distinct phases: pursuit and attack. Evaluated on the IEEE 30-Bus system using power loss computation with coefficient B, the algorithm ensures that generator output power allocation meets demand at the lowest cost. OPA's performance is comprehensively compared with Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and Bat Algorithm. The results consistently show that OPA achieves the lowest total cost of $772,754 while maintaining superior system stability and effectively minimizing power losses among the evaluated algorithms. These findings highlight the significant potential of OPA to enhance energy management and advance power system optimization.