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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics INVOTEK: Jurnal Inovasi Vokasional dan Teknologi KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Mimbar Ilmu Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan EDUTEC : Journal of Education And Technology Indonesian Journal of Electrical Engineering and Computer Science JPTE: Jurnal Pendidikan Teknik Elektro JTEIN: Jurnal Teknik Elektro Indonesia Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Vokasi Mekanika Ranah Research : Journal of Multidisciplinary Research and Development SNTE Journal of Industrial Automation and Electrical Engineering
Muldi Yuhendri
Universitas Negeri Padang
Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Real time control of buck converter with Sugeno Fuzzy Inference System using Arduino Iskandar, Adrian; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/0zr57j76

Abstract

As time progresses, technology for electrical and electronic equipment also develops very rapidly, generally these electronic devices use electrical energy as a source, energy sources also vary from high voltage for industry and low voltage for household appliances. There are two types of voltage, namely direct and alternating. This direct voltage can be obtained from a DC generator, battery, or AC voltage that is directed to DC. In general, a buck converter has the meaning of reducing DC to DC voltage which has two types of storage, namely capacitor and inductor, thus producing a small ripple value. To be able to get the appropriate voltage value, the output value needs to be set via the Simulink Matlab program, namely Sugeno Fuzzy Inference System. Buck converters that have been set using different settings are different from those that have not been set using fuzzy. Buck converter circuits that do not use a control system only reduce the voltage according to the existing results and if you want to change the output results then we have to change the duty cycle value manually of course this will not be effective in the long term or using the tool periodically whereas if you use a fuzzy control system We can set the output value of the buck converter according to what we need
Three-phase induction motor control using scalar control method based on the Internet of Things (IoT) Rahma Putri, Nadila; 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.pp29-35

Abstract

The induction motor is one of the most widely used types of electric motors in the industrial sector due to its simple structure and high reliability. However, speed control of induction motors often requires an advanced control system to ensure both efficiency and flexibility. This final project presents the design and implementation of a three-phase induction motor control system using the scalar control method (V/f), integrated with Internet of Things (IoT) technology. The system enables users to monitor and control the motor’s frequency and direction of rotation in real-time through a web-based interface developed using Node-RED. The system design involves the integration of hardware components, including a three-phase induction motor, an Omron 3G3JX-A Variable Speed Drive (VSD), and an Omron CP2E-N Programmable Logic Controller (PLC), which communicate using the Modbus RTU protocol. The PLC is programmed using CX-Programmer to implement the appropriate control logic, while the IoT interface enables users to send commands and monitor operational data remotely. Test results indicate that the system is capable of regulating motor speed linearly in response to input frequency without causing current surges, and it provides accurate, real-time motor parameter data through the dashboard interface.
Maximum power control system for solar panels using the Sliding Mode Controller (SMC) method Nugraha, Ksatria; 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.pp98-105

Abstract

Solar energy is a promising renewable energy source that offers solutions to the energy crisis and carbon emission reduction, but the power output generated by solar panels is fluctuating due to changes in light intensity and ambient temperature. This study develops a Maximum Power Point Tracking (MPPT) control system using the Sliding Mode Controller (SMC) method to optimize the power output of solar panels. The system design includes the use of a boost converter as a voltage regulator and an Arduino Mega 2560 microcontroller as the control center, with the SMC algorithm developed in Simulink MATLAB to generate a PWM signal that controls the duty cycle. Test results show that the SMC algorithm can achieve a maximum power point of 30 watts in 20 seconds, faster and more efficient than the Perturb and Observe (P&O) method, which only reaches 25 watts in 30 seconds, and demonstrates lower and more stable power oscillations. The boost converter was also proven effective in increasing the output voltage of the solar panel. Thus, the SMC-based MPPT system demonstrates superior performance in efficiency and adaptability to dynamic environmental conditions, making it suitable for application in the development of more reliable solar energy systems  
Implementation of induction motor control and monitoring system for blower drive based on Internet of Things Muhammad Zein, Habibi; 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/qv3s4716

Abstract

Induction motors are widely used in industrial applications, particularly as blower drives, due to their simplicity, durability, and high efficiency. However, when operated at constant speed without considering load conditions, these motors often cause excessive energy consumption and reduced operational lifespan. This study develops an Internet of Things (IoT)-based control and monitoring system for a three-phase induction motor driving a blower by integrating Siemens Sinamics G120 Variable Speed Drive (VSD), Simatic S7-1200 PLC, SIMATIC KTP 700 HMI, and a web interface based on Node-RED. The system supports manual and automatic operation modes, with the automatic mode controlled by real-time ambient temperature readings from an LM35 sensor. The automatic control logic ensures the motor operates only when the temperature is within the range of 20°C to 37°C, automatically shutting down the motor if the temperature falls outside this range to prevent damage and inefficient operation, while the motor speed is proportionally adjusted according to the temperature within the specified range. Monitoring and control can be performed remotely via PC or smartphone using Ethernet communication based on the Profinet protocol. Testing results show that motor speed and direction can be accurately controlled and monitored in real time, with consistent data among the HMI, VSD, and external measuring instruments. This solution offers a reliable, user-friendly, and energy-efficient method for blower control in industrial environments, making a significant contribution to industrial automation by combining conventional control systems with IoT technology
Design and construction of a multi-input boost converter Diffa, Allif Khairul; 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.pp58-64

Abstract

This study designs and implements a Multi Input Boost Converter (MIBC) to improve the efficiency and stability of renewable energy systems. The device combines two DC voltage sources, such as solar panels and wind turbines, into a higher and more stable output voltage. The system is controlled by an Arduino Mega 2560 programmed via MATLAB Simulink to generate Pulse Width Modulation (PWM) signals, which are amplified by an IR2110 gate driver before activating the MOSFET. Two 12 V DC inputs are processed through the boost converter circuit to produce voltages of up to 24 V DC. An ACS712 current sensor and a voltage sensor are used as feedback for real-time duty cycle adjustment. The research process includes block diagram design, circuit construction, hardware assembly, and microcontroller programming. Testing on 50 Ω and 110 Ω loads shows that the MIBC can efficiently combine two power sources, maintain voltage stability, and minimize power losses. This design enhances the reliability and flexibility of hybrid power generation systems and has the potential to serve as a reference for developing multi-input power conversion in small to medium-scale renewable energy applications.
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  
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
Co-Authors Adtrizal Lindo Agung Satria Ahyanuardi Ahyanuardi Al Amin, Athah Alham Ali ALWI, ZIKRI Anne Fadia Ikhfa Aprilianty, Resti Ari Anggawan Arief, Fashly Aslimeri Aslimeri, Aslimeri Asnil Asnil Aswaldi Alfaris Aswardi Aswardi Athaya Atsiq Aulia Rahman Azar Ihsan Azizah, Farah Azzikri, Muhammad Fadhel Candra Riawan, Dedet Citra Dewi Citra Dewi Diffa, Allif Khairul Doni, Dona Dori Yuvenda Dwi Junita, Revidadina Dwi Kurniawan, Bintang Dwi Saputra, Robi Efianti, Weli Eko Solihin Elda Permata Sari Elda Permata Sari Emilia Mustafa Fadhli Ranuharja Fahmi Idris Faradina, Nevi Farahilla, Wahyu Fatimah Hanifah Febri Angriawan Febri Rahmadi Firmansyah, M.Erdian Gatot Santoso Putra Gozi, Muhammad Habibullah Habibullah Hambali Hambali Hambali Hambali Hambali Hambali Haris Masrepol Hendra, Ayu Ikhfa, Anne Fadia Ikhsan Rifaldo Ikhwani Ikhwan Ilham Kurniawan Irma Husnaini Irvan Zakaria Candra Ishlah Fain Sanul Iskandar, Adrian Juli Sardi Khulkhairat, Delvira Kurnia Deca Nevil, Prayoga Larra Oktavia Lovella, Nadillah Luthfil Hirzan M Heycal Ridwan Maulana Rasiddin, Muhammad Maulana, Iqbal Dafri Maulida, Hilda Mauridhi Hery Purnomo Minsandi, Ayub Mirshad, Emilham Mochamad Ashari Muhamad Ilham Esario Muhammad Padri Muhammad Rezky Muhammad Zein, Habibi Muhammad, Razi Muhammmad Zainul Fikri Muhibbudin, Muhibbudin Mukhaiyar, Riki Muskhir, Mukhlidi Nabila Binti Mohamed, Nur Nahydatul Hami Najmi, Muhammad Nila Gusriani Nugraha, Ksatria Olivia, Fanessa Peri Peri Purwantono, Purwantono Putra, Randi Purnama Rahma Putri, Nadila Rahmad, Rahmad Rizki Rahmat Hidayat Rahmawati Mayangsari Raihan Alfiansyah, Muhammad Randaka Saputra Randy Setiawan Randy Yonanda Pratama Rasyid, Hambali Reni Putri Mayenti Riadotul Jannah Ridwan, Ainul Rijeng Firanda Risfendra, Risfendra Romi Fadli Romi Fernandes Rotua Oktaviana Siahaan, Yosephine Salihul Fajri Saputra, Rifaldo Sari, Elda Permata Selfi Harowanti Shandy Oktafianto Pratama Simanullang, Aldi Simon Padri P Sonia Anjeli Sukardi, Sukardi Syafitri, Muharani Syafyutina, Rahmat Alwafi Syarah, Ullya Ta ali Taali, Taali Tri Yogi Putra Trivaldo Putra Ulandari, Putri Widya Anggraini Yanto, Doni Tri Putra Yelfianhar, Ichwan Yudi Ari Putra Yulia Dwi Satriani Yulianta Siregar