cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muldi Yuhendri
Contact Email
muldiy@ft.unp.ac.id
Phone
+6281332008021
Journal Mail Official
jiaee@ppj.unp.ac.id
Editorial Address
Departement Teknik Elektro, Universitas Negeri Padang Jl. Prof. Hamka Air Tawar Padang, 25131
Location
Kota padang,
Sumatera barat
INDONESIA
Journal of Industrial Automation and Electrical Engineering
Published by Universitas Negeri Padang
ISSN : -     EISSN : 30891159     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of Industrial Automation and Electrical Engineering (JIAEE) is an open-access peer-reviewed journal which is providing a platform to researchers, scientists, engineers, and practitioners/professionals throughout the world to publish the latest creations and achievement, future challenges and exciting applications of manufacture and applications of instrumentation and control engineering, industrial automation, control system, robotics, power electronic and drive, renewable energy, SCADA and Internet of Things (IoT), power quality, electrical machine and drive, artificial intelligence (AI), circuits & electronics, electrical engineering materials, protection system, power system analysis etc. This journal is published periodically twice a year, namely in June and December.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 125 Documents
 9   10   11   12   13 
Control and monitoring system of bio-mass weight feeder   equipment in Indarung V PT Semen Padang Dwi Kurniawan, Bintang; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rzqhmm72

Abstract

The Industrial Revolution 4.0 encourages the application of intelligent technologies such as the Internet of Things (IoT) in industrial automation systems to improve efficiency, flexibility, and monitoring accuracy. This study aims to design and implement an IoT-based monitoring system integrated with the Siemens S7-1200 PLC on the biomass weight feeder tool at the Indarung V unit of PT Semen Padang. This system was developed to enable real-time and remote monitoring of equipment conditions, which previously could only be done from a local panel or control room. The design was carried out by combining ladder diagram programming on the TIA Portal and data visualization using Node-RED as an IoT platform. Testing was carried out in the laboratory through three main scenarios, namely variations in induction motor speed, alarm condition simulation, and connectivity testing between PLC, HMI, PC server, and PC client. The test results showed that the system was able to display speed and tool status data accurately with a delay time of less than one second. The indicator alarm successfully detected abnormal conditions and provided visual notifications appropriately. Connectivity between devices was also proven to be stable and synchronous during testing. With these results, this monitoring system is considered effective in supporting digital transformation in the industrial sector, especially in increasing the responsiveness and reliability of monitoring the biomass transportation process, and has the potential to be applied on a wider industrial scale
Output voltage control of Multi Input Boost Converter based on  Proportional Integral (PI) controller Maulana, Iqbal Dafri; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp74-81

Abstract

The design and implementation of a Multi Input Boost Converter (MIBC) based on Proportional-Integral (PI) control is discussed in this study to ensure output voltage stability in the face of load variations and input source fluctuations. Two DC input sources are integrated into the system architecture to produce a larger and more consistent output voltage. An Arduino Mega 2560 is used to create the PI controller, which is programmed using MATLAB/Simulink and employs PWM signal duty cycle settings to control the MOSFET in the converter circuit. Variability in input, load, and voltage setpoint are factors that influence experimental results. By comparing experimental results with a system without control, it is proven that PI control can eliminate overshoot and voltage ripple, reduce steady-state error, and maintain the output voltage close to the reference value. Additionally, in various test configurations, the system demonstrates good stability and fast response time. Therefore, MIBC with PI control can be used to improve the efficiency and reliability of multi-input power conversion, which can be beneficial for renewable energy systems requiring a stable DC power source  
Analysis of  three-phase Inverter with switching angle variations Marsha Kirana, Fabiola; Asnil
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp195-202

Abstract

A three-phase inverter is a power conversion device that converts direct current (DC) to three-phase alternating current (AC). Inverter performance is significantly influenced by the switching angle control method used. This study analyzed three-phase inverters with varying switching angles of 30°, 45°, 60°, 90°, 120°, 135°, 150°, and 180°. The objective of this study was to determine the effect of varying the switching angle on the output waveform produced by the three-phase inverter. Testing was conducted by observing the gate driver output signal and the phase-to-phase and phase-neutral voltage waveforms using an oscilloscope. The results showed that changes in the switching angle affected the voltage pulse width and the symmetry of the output waveform. The higher the level, the closer it became to a sinusoidal shape. This test used two loads: the resistive load produced a relatively stable waveform, while the incandescent lamp load experienced distortion due to the inductive nature of the filament. The conclusion of this study is that selecting the right switching angle can improve the power quality and efficiency of the inverter performance according to application needs.
IoT based monitoring system of  power supplies using solar panel and PLN Al Amin, Athah; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/8wn0hq45

Abstract

The advancement of Internet of Things (IoT) technology has opened new opportunities in energy management, especially for power supply monitoring systems that combine solar panels and the PLN grid. This study designs and implements an IoT-based monitoring system to observe voltage levels of 5VDC, 12VDC, and 24VDC in real-time using INA219 sensors, a 20A PWM Solar Charge Controller, a 12V 5Ah battery, and a NodeMCU ESP32 connected to the Blynk application. The system features automatic switching from solar to PLN when abnormal conditions such as overcurrent (>100mA) or voltage drops occur. Testing under normal and fault conditions shows that the system effectively maintains stability, switches power sources automatically, and provides real-time notifications, demonstrating its efficiency and suitability as a reliable, environmentally friendly energy management solution
Maximum power control strategy of solar panel based on Artificial Neural Network using Quadratic Boost Converter Olivia, Fanessa; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i1.pp210-218

Abstract

This research proposes and implements a Maximum Power Point Tracking (MPPT) control system on solar panels using a quadratic boost converter controlled by a backpropagation-based Artificial Neural Network (ANN) algorithm. The system is designed to maximize the output power of a 2x50 WP solar panel by reading current and voltage data, then calculating the power change (ΔP) which is used as JST training input to produce the optimal duty cycle value. This value is then used to adjust the PWM signal that controls the operation of the converter. The testing was conducted using real hardware connected to the Arduino Mega 2560, and programming was done through MATLAB Simulink. The JST training results show a very low Mean Squared Error (MSE) and high prediction accuracy with a regression coefficient (R) value approaching 1. The system has proven capable of reaching a maximum power point (MPP) of 52 watts in just 21 seconds with minimal power fluctuations. Thus, this JST-based MPPT control system demonstrates efficient, accurate, and responsive performance in optimizing the output power of solar panels
DC motor speed control using two quadrant DC Chopper based on Sliding Mode Controller Arief, Fashly; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp175-181

Abstract

DC motors are vital components in the industrial world, thanks to their ability to provide precise control over speed and torque. In various manufacturing processes, these motors are used to drive machines, conveyor systems, and other automated applications. However, the challenge faced is speed instability when the motor operates under variations in load and speed. To overcome this problem, this study focuses on controlling the speed of a DC motor using a two-quadrant DC chopper based on a Sliding Mode Controller (SMC). The SMC method has the ability to overcome disturbance models and provide consistent performance under dynamic conditions, making it very effective in  maintaining the performance of  a  DC motor control system in various operational situations. In addition, the SMC is able to  ensure the  output system can  track the  desired reference and generate a control signal that minimizes tracking errors. The control signal in the SMC consists of two components, namely the reach mode and the slide mode. The design process in this study includes programming the Arduino Mega 2560 microcontroller, and the implementation of  the  SMC  control  system  is  carried  out  using MATLAB Simulink. Simulation results show that the SMC-based control can maintain a stable motor speed despite significant changes in load and speed. Thus, this research makes a significant contribution towards the development of more effective DC motor control systems for industrial applications
Monitoring of solar panel simulator using Visual Studio Alamsyah, M. Thoriq; Asnil
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp261-267

Abstract

The use of solar panels as an alternative energy source is increasingly widespread due to their environmentally friendly nature. However, their efficiency is highly influenced by external factors such as temperature and light intensity. Therefore, a monitoring system capable of observing panel performance in real-time is required. This study designs and develops a solar panel simulator monitoring system based on the Arduino Uno microcontroller and a Visual Basic interface, which displays sensor data in both graphical and tabular forms. The sensors used include DHT22 (temperature), BH1750 (light intensity and irradiation), ACS712 (current), and a voltage divider (voltage). The system is tested using four solar panel circuit configurations: series, parallel, series-parallel, and total cross tied (TCT). The test results show that each configuration is highly dependent on light intensity in relation to the current and voltage produced. The data visualization using Visual Basic functions optimally and is consistent with measurement results, indicating that this system is effective for monitoring and analyzing the performance of solar panels under simulated conditions  
IoT-based temperature, humidity, and ammonia control system for chicken coop Budiman, Arif; Muskhir, mukhlidi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp236-243

Abstract

This research has designed and developed an integrated IoT (Internet of Things)-based system for controlling temperature, humidity, and ammonia levels in chicken coops. The study involved several experiments to test the functionality and effectiveness of the built system. Based on the results obtained from the assembly process, programming, device construction, and comprehensive system testing, it can be concluded that this control system application is effective in improving farmers' work efficiency. The automated waste removal is capable of lowering ammonia levels, minimizing manual labor, and efficiently saving time. Furthermore, this device functions to monitor and maintain the temperature for the livestock inside the coop. The device, with inputs and outputs from DHT-22 and MQ-135 sensors, an ESP32 microcontroller, a heating element, a conveyor, and a DC motor, has been successfully operated and proven effective in regulating temperature and ammonia gas levels in chicken coops.
Internet of Things based solar panel cooling and monitoring system Febiola, Anjelika; Dewi, Citra; Mirshad, Emilham; Mulya, Rudi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp128-226

Abstract

Solar energy is one of the renewable energy sources that has great potential in Indonesia, due to its abundant availability and zero greenhouse gas emissions. However, the performance of solar panels can degrade due to high temperatures generated by continuous exposure to sunlight. This research aims to design and implement an effective cooling system to increase the output power of solar panels. The system is designed with a real time remote monitoring feature using the Blynk application, and is equipped with an automatic data logging  system  into  Google  Sheets.  The  cooling  mechanism  is carried out by spraying water onto the surface of the solar panel which is activated based on a predetermined temperature threshold value (set point). The test results show that the system is able to reduce  the  panel  temperature  by  5.46°C  and  increase  the  output power  by  1.76  W.  The  ratio  of  power  increase  to  temperature decrease is recorded at 3.1 W/°C, which proves that the system is effective   in   keeping   the   panel   temperature   below   40°C   and contributes significantly to the improvement of solar panel performance
Microcontroller-based Automatic Granule Weighing device with Human Machine Interface (HMI) integration Valendi, Ihsan Riga; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp227-235

Abstract

This research presents the design and development of an automatic granule weighing system based on a microcontroller, integrated with a TFT-based Human Machine Interface (HMI). The system aims to enhance accuracy and efficiency in the weighing process of granular raw materials, particularly in small- to medium-scale industries. It utilizes a load cell sensor and HX711 module for precise weight measurement, a vibrating motor to ensure consistent material flow, and a servo motor to control the dispensing valve. The HMI enables users to set target weights, adjust vibration speed, and monitor real-time data. Testing was conducted using rice granules with three different speed modes (low, medium, and high) and eight target weight variations. The system achieved an average error of 0.676% at low speed, 0.184% at medium speed, and 0.542% at high speed, with an overall accuracy of 99.533%. The integration of automated weighing mechanisms with an intuitive HMI demonstrates the system’s potential for industrial applications requiring precise, reliable, and user-friendly material handling

Page 12 of 13 | Total Record : 125

 9   10   11   12   13 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025 Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024 Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024