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
<![CDATA[IoT-based motor speed monitoring using infrared sensor ]]>
<![CDATA[Hakim, Abdullah]]>;
<![CDATA[Effendi, Hansi]]>;
<![CDATA[Yelfianhar, Ichwan]]>;
<![CDATA[Elvanny Myori, Dwiprima]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/5wwhsb23
<![CDATA[This paper presents the design and development of an Internet of Things (IoT)-based system for monitoring the speed of DC motors. Utilizing an ESP32 microcontroller integrated with infrared sensors, the system accurately measures motor speed by detecting pulses from a five-pointed star wheel attached to the motor shaft. The Arduino framework and Blynk platform are employed for real-time data visualization and remote monitoring. The system supports multiple motors, transmitting speed data to a cloud server via WiFi, allowing users to monitor performance remotely. Debouncing techniques and a moving average filter enhance data accuracy, while a correction factor refines RPM calculations. Threshold alerts notify users of excessive speeds, enabling proactive maintenance. This scalable solution is ideal for industrial applications requiring real-time monitoring and data-driven insights]]>
<![CDATA[Fire protection system based on the Internet of Things ]]>
<![CDATA[Valerry]]>;
<![CDATA[Hambali]]>;
<![CDATA[Hidayat, Rahmat]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/rpkgcr63
<![CDATA[Fire is a significant threat to life and property safety, especially with the increasing risk due to rapid technological and infrastructure developments. This paper proposes an Internet of Things (IoT)-based fire protection system that utilizes an ESP32 microcontroller for automatic monitoring and response to potential fires. This system integrates various sensors, namely a DHT22 sensor to measure temperature, an MQ-02 sensor to detect hazardous gases, and a fire sensor to identify the presence of fire. When there is an increase in temperature, gas detection, or fire, the system automatically activates devices such as water pumps, fans, and APAR valves that are connected via relays, and sends real-time notifications equipped with location data via the Telegram application. Through this IoT-based approach, the system can be monitored and controlled remotely, providing a fast and effective response in fire mitigation efforts. The implementation of this system is expected to minimize the impact of fires by detecting and addressing potential hazards automatically and in real-time.]]>
<![CDATA[Single-phase controlled AC-DC converter using SCR ]]>
<![CDATA[Irsyad, Muhammad]]>;
<![CDATA[Krismadinata]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/q73ftm39
<![CDATA[The 1-phase controlled full-wave rectifier is one of the main components in power electronics technology that functions to convert alternating voltage (AC) into direct voltage (DC). This circuit is used in various applications, such as battery charging systems and DC motors in industry. Controlled rectifiers use a Silicon Controlled Rectifier (SCR). The use of SCRs in controlled rectifiers provides the advantage of more precise current control. The controlled rectifier uses a Silicon Controlled Rectifier (SCR), which is controlled with a microcontroller through an SCR driver. The SCR driver serves for isolation so that the converter circuit does not damage the microcontroller due to current surges. This circuit also requires a zero crossing detector to determine the intersection of point 0 on the AC wave. This research aims to design and build a 1-phase full wave rectifier system using SCR as the main controlling component. With a deep understanding of SCR characteristics, it is hoped that this research can contribute to the development of modern power supply technology that is more efficient and can be controlled with precision.]]>
<![CDATA[Enhancing Electricity Production in Photovoltaic Systems Using a Double-Axis Solar Tracker ]]>
<![CDATA[Nugraha, Muhammad Adjie]]>;
<![CDATA[Asnil]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/j4jk5m10
<![CDATA[The global energy crisis, still heavily reliant on fossil fuels, drives the need for innovations in renewable energy utilization, particularly solar energy. Indonesia, with abundant solar energy potential, has a significant opportunity to enhance solar energy usage through solar tracking technology. This study aims to design and test an Arduino-based double axis solar tracker system that improves solar energy absorption efficiency. The system uses an Arduino Mega 2560 as the main controller, equipped with Light Dependent Resistor (LDR) sensors and other supporting sensors to optimize the solar panel’s position. Testing was conducted under three weather conditions: sunny, partly cloudy, and overcast, to compare the performance of the double axis system with single axis and fixed panels. The results indicate that the double axis solar tracker system produced the highest power output under all weather conditions, especially on sunny days, with an increase in power efficiency of up to 30-35% compared to fixed panels. This technology provides an efficient and economical solution for Indonesia to maximize solar energy utilization, supporting national renewable energy targets.]]>
<![CDATA[Battery Charger Control System Employing a Buck Converter with Visual Studio Interface ]]>
<![CDATA[Sandrya, Iqbal]]>;
<![CDATA[Asnil]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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<![CDATA[This research develops a buck converter-based battery charger using the Constant Current Constant Voltage (CCCV) method to enhance reliability and prevent overcharging. A PI Controller is used to obtain the CC and CV parameters for system control. The charging process starts in Constant Current mode at 1.2 A until the battery voltage reaches 12.6 V, then switches to Constant Voltage mode, gradually decreasing the current to a cutoff at 0.07 A. A Visual Studio interface is employed to monitor the charging process, displaying graphs of current, voltage, and State of Charge. Testing with a 2800 mAh lithium-ion 18650 battery showed a charging duration of 2 hours and 43 minutes, with 73 minutes in Constant Current mode and 90 minutes in Constant Voltage mode. Real-time monitoring with the Visual Studio interface has provided an informative understanding of battery charging characteristics based on the CCCV method]]>
<![CDATA[Flood Early Detection Using Internet of Things Based on Flood-Ramped Areas ]]>
<![CDATA[Alfajri, Tommy Rizky]]>;
<![CDATA[Habibullah]]>;
<![CDATA[Hastuti]]>;
<![CDATA[Elvanny Myori, Dwiprima]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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<![CDATA[Indonesia is a tropical country that experiences very high rainfall. Very heavy rainfall is the reason for flooding. During the rainy season, continuous rain causes the volume of water in the river to increase and has the potential to cause flooding in several areas. Therefore, an early flood detection tool is needed as an alarm to detect and monitor the increase in water volume in the river and as a measure of rainfall that occurs by utilizing Internet of Things technology to make it easier for people to obtain information about the flood alert status in the area. This early flood detection tool method uses the JSN-SR04T sensor which is used to measure the water level in the river, the YL-83 sensor which is used to estimate the rainfall that occurs, Telegram as an Internet of Things media, and Solar panels as Off Grid PLTS. After testing and analyzing the early flood detection tool using ESP8266 based on the Internet of Things in flood-prone areas, the conclusion is that the early flood detection tool works well and the results achieved are in accordance with the function and work of the tool]]>
<![CDATA[Smart Room Control and Monitoring System Based on Internet of Things ]]>
<![CDATA[Andika, Bayu]]>;
<![CDATA[Candra, Oriza]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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<![CDATA[In this modern era, the development of Internet of Things technology has opened up opportunities to create a smarter home environment that is easily accessible from anywhere. This research aims to create and develop a smart room system that utilises the Blynk platform and Google Assistant to efficiently control and monitor devices in the room. This system allows users to control electronic devices such as lights, fans, and other household appliances through the Blynk application, manual switches and provides voice-based control capabilities using Google Assistant. This system is designed using NodeMCU Esp8266 microcontroller as the main controller, which is connected to sensors and equipment that are controlled in this tool to monitor and control room conditions. The Blynk app is used as the user interface for real-time control, while integration with Google Assistant allows control via voice commands. Tests of the system that have been carried out both using Blynk, manual switches and Google Assistant show that the device can respond to commands quickly and provide accurate feedback on the status of the device and room conditions. With this system, users can improve comfort and energy efficiency in their homes, as well as enjoy the convenience of controlling devices through various media, both mobile applications and voice commands. The system also provides opportunities for further future development of an integrated smart room ecosystem]]>
<![CDATA[Real-time Identification of Electric Motor Faults Using Arduino ]]>
<![CDATA[Sabri Alamsyah, Ilham]]>;
<![CDATA[Elvanny Myori, Dwiprima]]>;
<![CDATA[Yelfianhar, Ichwan]]>;
<![CDATA[Hidayat, Rahmat]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/
<![CDATA[The reliability of electric motors is very important in various industries. Damage to electric motors caused by disturbances that are not detected early results in large losses, both in terms of time and cost. This research aims to design and build an Arduino-based electric motor fault detection device equipped with a PZEM-004t sensor, buzzer as an alarm, relay to turn off the motor when there is a disturbance and LCD I2C 16x2 to display the measured value. This tool is designed to provide protection to the motor from overvoltage, undervoltage and overcurrent disturbances. Based on the results of testing and analysis, the designed tool can detect and protect the motor from interference. The buzzer functions effectively as an alarm when the voltage and current values are close to the fault occurrence value. The relay can respond well in breaking the current in the motor when a disturbance occurs. Thus, this tool has the potential to be applied as a practical solution in preventing damage to electric motors in industrial environments]]>
<![CDATA[Monitoring and Controlling Electric Energy Usage Based on the Internet of Things ]]>
<![CDATA[Abdul Latif, Luthfi]]>;
<![CDATA[Hambali]]>;
<![CDATA[Maulana, Ricky]]>;
<![CDATA[Hidayat, Rahmat]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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<![CDATA[Electrical energy is one of the basic human needs whose use continues to increase along with the increase in daily activities. Uncontrolled electricity consumption can lead to energy waste and increased costs. Therefore, a system is needed that can monitor and control the use of electrical energy effectively. In this final project, we develop an Internet of Things (IoT)-based tool that is able to monitor and control the use of household electrical energy in real-time. This system uses ESP32 microcontroller, PZEM-004T current sensor, LCD to display the sensor output, and Relay as an automatic switch to regulate the on or off of electronic devices. Blynk platform is used as an intermediary between microcontroller and smartphone or PC to facilitate remote control. With this system, users can monitor daily energy consumption and control electricity usage efficiently, thus saving energy and costs. This research is expected to contribute to a smarter and more efficient management of household electrical energy]]>
<![CDATA[Layered security system on safe using RFID, finger print, camera and keypad based on Internet of Things ]]>
<![CDATA[Muhammad rehan aulia yazid]]>;
<![CDATA[Husnaini , Irma]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/enqe3a12
<![CDATA[The development of technology along with the development of the era touches all aspects of life including the security system. The existence of security systems that are developing with the aim of security can be maintained better, such as in the storage of valuables carried out in safes. Layered security is carried out through four stages, the stages are RFID using a recognized card, fingerprint sensors using fingerprints of people who are allowed to access the safe, facial recognition with ESP32 Cam, and passwords via keypad. The security system must be carried out sequentially and correctly. If an error occurs in passing the security system up to three times, it must be repeated from the beginning again. Using the ESP32 Microcontroller with resources from the power supply, this tool can work well to maintain the security of the safe in layers and will automatically open the safe door so that security can be passed correctly.]]>
