Journal of Industrial Automation and Electrical 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.
Articles
125 Documents
Remote monitoring and watering system for Red Onion Plants through Telegram based on IoT
Rahmat, Ahwal;
Hastuti
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
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DOI: 10.24036/jp5gdg72
Red onion (Allium cepa L.) is an important horticultural commodity in Indonesia that is vulnerable to air pollutants, especially dust and dew that can disrupt the photosynthesis process and trigger diseases such as fusarium wilt. This research aims to design a remote monitoring and watering system based on Internet of Things (IoT) using ESP32-CAM. The system automatically takes images of red onion leaves every morning and sends them to the farmer's Telegram, allowing farmers to analyze leaf conditions and activate remote watering if necessary. This system not only improves monitoring efficiency and decision-making but also reduces excessive pesticide use due to delayed handling. Thus, this system is expected to be an innovative and sustainable solution in supporting smart farming practices for red onions in highland areas. Keywords—Red onion, IoT, ESP32-CAM, Telegram, Monitoring.
Smart belt for the visually impaired to detect obstacles and track position
Jiadi, Naufal;
Dewi, Citra;
Hastuti;
Ranuharja, Fadli
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
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DOI: 10.24036/w648fn97
Mobility remains a significant challenge for individuals with visual impairments due to the difficulty in detecting obstacles around them. This study aims to design and develop a Smart Belt to assist visually impaired users by detecting obstacles and tracking their location in real time. The Smart Belt is equipped with a VL53L0X LiDAR sensor to detect frontal obstacles and a NEO-6MV2 GPS module for location tracking. Data collected from the sensors is processed by an ESP32 microcontroller and delivered to the user via a Telegram bot as notifications. Testing results indicate that the device is capable of accurately detecting obstacles and providing vibration alerts, while also successfully transmitting location coordinates to Telegram with satisfactory accuracy. This innovation is expected to enhance the independence and safety of visually impaired individuals in their daily activities
Control of buck boost converter with Mamdani Fuzzy inference system using Microcontroller Arduino
Syafyutina, Rahmat Alwafi;
Yuhendri, Muldi;
Dewi, Citra;
Hendra, Ayu
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
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DOI: 10.24036/2hs6xn51
Various electrical equipment utilizes direct voltage (DC) as a power source. Examples of this equipment include various electronic devices as well as DC motors and others. The direct voltage used usually has various ratings, ranging from 1.5 volts to 12 volts, and other numbers. To ensure that the direct voltage is in accordance with the tool's needs, it is necessary to control this voltage. This control is generally carried out using a power converter. In this research, buck-boost converter output voltage control will be implemented using the Fuzzy Mamdani method with an Arduino Atmega 2560. The control system developed will be tested through experiments in the input voltage range between 12 to 24 Volts, with a maximum output of 18 Volts. The experimental results show that the Fuzzy Mamdani based buck-boost converter output voltage control system successfully regulates the output voltage according to the desired reference value
Thrust Roller Control in Kiln using PLC and HMI
KUSUMA, ARI;
Sardi, Juli;
Habibullah;
Ricky Maulana
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
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DOI: 10.24036/05hv5c13
The thrust roller control and monitoring system is very important in the cement production process, especially in the cement processing process that occurs in the Kiln equipment. At PT. Semen Padang, the thrust roller control and monitoring process using a potentiometer sensor often experiences problems. Based on this, this study aims to develop a solution to the problem of the thrust roller control and monitoring system to make it more accurate. This study was conducted using an experimental method. With this method, the author took some test data on the ultrasonic sensor as a substitute for the potentiometer sensor and then compared the test data with the actual value to determine the level of feasibility and error in the system. The research instrument used in the test was a meter while the object of the study was the thrust roller prototype that had been made. Based on the test results, the thrust roller control and monitoring system has been successfully carried out where the thrust roller movement is displayed in the form of an HMI screen simulation with a small error rate, namely from 20 trials 18 of them were successful while the remaining two experienced errors
Control system of Dahlander Motor using Programmable Logic Controller based on Human Machine Interface and Internet of Things
ALWI, ZIKRI;
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
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DOI: 10.24036/varsnj09
The Dahlander motor is a three-phase induction motor capable of operating at two distinct rotational speeds by altering the stator winding configuration between star (Y) and delta (Δ). This dual-speed feature is essential for industrial machines such as cranes, lathes, and conveyors that require variable speed operation. However, conventional manual control methods are still widely used, posing risks to operational efficiency and safety. This study presents the design and implementation of an automated control system for a 1.3 kW Dahlander motor using a Siemens S7-1200 Programmable Logic Controller (PLC), a KTP 700 Comfort Human Machine Interface (HMI), and an Internet of Things (IoT) platform based on Node-RED. The system supports remote control via HMI panels, personal computers, and smartphones through a web-based interface using the Profinet protocol. The control logic is developed in the TIA Portal environment, enabling selection between low-speed and high-speed modes. Experimental results demonstrate that the system effectively controls motor speed with accurate and stable operation. The integration of HMI and IoT provides real-time remote monitoring and control capabilities, enhancing operational reliability and minimizing human error. This integrated system offers a cost-effective and adaptive solution for local industries, especially small and medium-sized enterprises, to embrace Industry 4.0 technologies
Single-phase five level inverter
Sukma, Nari Amelia Aprilianti;
Asnil
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
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DOI: 10.24036/ap0kkn35
This paper presents the design and implementation of a single-phase five-level inverter using the Cascaded H-Bridge (CHB) topology. The primary objective of this research is to evaluate the inverter’s performance based on the Total Harmonic Distortion (THD) of the output voltage waveform under resistive load conditions. The proposed system consists of two H-Bridge modules powered by independent 23 V DC sources, controlled by an Arduino Mega 2560 and supported by gate driver circuits. The inverter is tested using incandescent lamp as the load. The results show a clearly stepped five-level AC output waveform, characteristic of CHB inverters. THD analysis indicates a distortion level of approximately 12.72%, which is higher than the IEEE 519 standard for sensitive equipment but acceptable for general resistive applications. The results confirm the feasibility of CHB-based inverter construction for practical use, while also highlighting opportunities for further optimization, especially in reducing harmonic content. This work contributes to the field of power electronics by providing a practical foundation for developing low-THD, cost-effective multilevel inverters.
Weather monitoring for local area based on Lora module using STM32 Microcontroller
Saputra, Rifaldo;
Yuhendri, Muldi;
Mukhaiyar, Riki;
Ranuharja, Fadhli
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
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DOI: 10.24036/xhczhj17
The need for an efficient and reliable weather monitoring system in areas with limited communication infrastructure has led to the development of an Internet of Things (IoT)-based solution utilizing LoRa (Long Range) technology. This study presents the design and implementation of a local-area weather monitoring system using the STM32F103C8T6 microcontroller and the LoRa RA-02 communication module. The system monitors environmental parameters such as temperature, humidity, wind speed, and air pressure using various sensors including DHT-21, BMP280, A3114, and INA219. Sensor data is collected by the transmitter node and sent via LoRa to a receiver node equipped with an ESP32 microcontroller. The receiver processes the data and sends it to the Blynk IoT platform and Google Sheets for visualization and storage. Experimental results show reliable transmission over distances up to 530 meters in dense environments and 2 kilometers in open areas. The system demonstrated low power consumption, making it suitable for solar-powered applications. The proposed solution is practical, flexible, and cost-effective, providing valuable support for weather-dependent decision-making in remote locations..
Speed Control of DC Motor using Four-Quadrant Rectifier based on Internet of Things
Gozi, Muhammad;
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
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DOI: 10.24036/46a3x679
DC motor is one of the important components in various industrial and automation applications due to its ability to provide precise speed control. This research aims to design and implement a DC motor speed control system using a four-quadrant rectifier based on the Internet of Things (IoT). This system allows the DC motor to operate in four quadrants, namely forward motor, reverse motor, forward regenerative, and reverse regenerative, thus providing flexibility and efficiency in controlling speed and rotation direction. By utilizing IoT technology, motor control can be done wirelessly through web-based applications or mobile devices, enabling real-time remote monitoring and control. The test results show that the system is able to accurately control the speed of a DC motor according to a given reference value, and can adapt to changes in load. The use of this IoT-based four-quadrant rectifier is expected to improve energy efficiency, operational flexibility, and ease of integration in modern automation systems.
Design of a sorting device with a barcode system based on Arduino Uno
Habibi, Farid;
Eliza, Fivia;
Mukhaiyar, Riki;
Dewi, Citra
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
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DOI: 10.24036/yz31f317
The development of technology in the industrial sector has experienced very rapid and advanced development at this time. In the production process in the industry, especially the sorting process, optimization is needed both from the performance and the results of the performance so that high work efficiency and maximum results can be obtained. So a goods sorting tool with a barcode system is needed as a tool that can sort goods automatically which is equipped with a barcode system to obtain information about the goods to be sorted so that it can make it easier for users to arrange goods according to what is desired. This goods sorting tool is equipped with a conveyor to move goods to the sorting place. This goods sorting tool method uses a barcode sensor that functions to detect the qr code on the goods, a weight sensor (loadcell) that functions to measure the weight of the goods, and an infrared sensor to detect the presence or absence of goods on the distribution line. After testing and analyzing the goods sorting tool with an Arduino Uno-based barcode system on the goods sorting system, the conclusion is that the goods sorting tool works well and the results achieved are in accordance with the function and work of the tool.
Effect of robot speed on cycle time and success rate in Automated Cover Assembly and Screwing
Adrianto, Raihan Nanda;
Risfendra
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
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DOI: 10.24036/29x36k07
This study investigates the effect of robot speed on cycle time and success rate in an automated cover assembly and screwing process. The experimental method was used to collect data by systematically varying the robot’s movement speed and observing its impact on performance metrics. Experiments were conducted on a six axis Epson C4 industrial robot integrated with a Siemens S7 1200 programmable logic controller (PLC). Robot speed was adjusted across ten predefined levels from 6% to 33% of maximum velocity in 3% increments and for each level, three repeated trials were executed under controlled conditions. Results show that increasing speed from 6% to 33% reduces average cycle time from 908.6 s to 503.6 s for 4 product (227,1s–125,9s per product), a 44.6% improvement in efficiency. The relationship between speed and success rate is nonlinear: moderate speeds (27%–30%) yield an optimal success rate of 93.75% with cycle times of 517 s–533 s for 4 product (129s–133s per product), whereas both lower and maximum speeds decrease reliability due to vacuum pickup misalignment and screw retrieval inconsistencies. These findings underscore the need to balance speed and precision to optimize both efficiency and reliability in robotic assembly systems