cover
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
ISSN : -     EISSN : 30891159     DOI : -
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 136 Documents
Microcontroller based server room security system with dual authentication and Telegram as access data Ibra Medifa; Dwiprima Elvanny Myori
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.pp244-254

Abstract

Server space security is a critical aspect that requires a robust protection system. Traditional single-authentication security systems have weaknesses against access theft and lack real-time monitoring features. This research aims to design an ESP32-based server room security system with dual authentication using RFID and PIN, as well as monitoring via Telegram. The system integrates ESP32 as the main microcontroller, RFID MFRC522, TFT LCD touchscreen, ESP32-CAM, solenoid lock door, buzzer, and push button with Telegram API for real-time notifications. The research methodology includes hardware design and software development using the Arduino IDE. The test results showed that the system successfully implemented dual authentication with a 100% success rate for valid access, was able to deny access with an incorrect PIN or unregistered card, and successfully sent notifications and images to Telegram in real-time. The system provides significant improvements to server space security through multi-layered authentication, remote monitoring, and comprehensive access documentation.
Smarthome security system based on Internet of Things (IoT) using ESP32 Widia Andris Geovani; Syaiful Islami
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.pp277-283

Abstract

The development of Internet of Things (IoT) technology has enabled the creation of a smarter, more efficient, and integrated home security system. This research was conducted to design and build an IoT-based smarthome security system using an ESP32 microcontroller, with the aim of improving home security through automatic access control and fire detection. The benefit of this research is to provide a home security solution that can be monitored  and controlled in real-time through the Blynk application, while increasing the response to potential hazards. The research method includes hardware design consisting of RFID module for door authentication, flame sensor for fire detection, DHT22 sensor for temperature measurement, and actuators such as solenoid door lock, servo motor, fan, motor pump, buzzer, and LED indicator. The system was tested in various ways, including RFID tag reading, flame detection, temperature response, and remote control using Blynk. The test results show that the system is able to read RFID tags with a distance of ±5 cm and a response time of <1 second, detect flames up to a distance of ±80 cm, and display sensor data in real-time on Blynk with an overall success rate of more than 95%. The system built can function properly as designed and is able to provide effective home security, both locally and remotely. Users can access information on home conditions and control devices directly anytime and anywhere. With stable performance and high success rate in various tests, this system can be an effective and practical solution to improve home security based on IoT technology
Smart nutrision hydroponic mix Microcontroller-based system with solar power plant integration Syaifullah Ali; Ali Basrah Pulungan
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.pp268-276

Abstract

Indonesia's agricultural sector faces the challenges of climate change and land constraints that drive the need for sustainable agricultural technology innovation. This research designed a Deep Flow Technique (DFT) hydroponic system based on Arduino Mega 2560 which is integrated with a Solar Power Plant (PLTS). The system uses a DFRobot TDS sensor for nutrient monitoring, an HC-SR04 ultrasonic sensor for water level detection, an ACS712 voltage and current sensor for electrical monitoring, and an I2C LCD for the display. The integration of solar power with solar panels, MPPT, and batteries provides sustainable energy. The test results showed that the TDS sensor had an accuracy with an error of 1.38%-41.11%, the ultrasonic sensor showed good reading consistency, and the electrical sensor gave the results according to the reference. Testing of the overall system proves the integration is successful with real-time monitoring capabilities and automatic controls. The solar power system has succeeded in providing stable energy for independent operations. The research resulted in an automated hydroponic prototype that improves production efficiency with the support of renewable energy.
Accuracy evaluation of position and speed control of Servo motor using PLC Revidadina Dwi Junita; Muldi Yuhendri
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.pp212-217

Abstract

The focus of this study is on the accuracy of the SIMOTICS S-1FL6 servo motor control, which is operated using a Siemens S7-1200 PLC and a Sinamics V90 VSD, with the help of a Human Machine Interface (HMI). This study quantitatively examines the motor speed in achieving the desired position (0°-360° unidirectional and clockwise) at 10 and 100 RPM, as well as the rotation accuracy at 10 to 100 RPM. The position accuracy evaluation results indicate that while the system provides good pressure at 10 RPM, the accuracy there is significant at 100 RPM, especially during complex operations. In addition, the overall accuracy of the rotation speed generally indicates the system's ability to achieve the RPM goal, even if there are occasional fluctuations in the Speed Error resulting in overshoot or undershoot. Thus, the results of this accuracy testing indicate that the developed control system successfully controls the SIMOTICS S-1FL6 servo motor in real-time, resulting in a high level of accuracy and is suitable for applications that monitor pressure from low to high as well as the rate of return from low to high
Implementation of four-quadrant DC Chopper for driver DC motor using Arduino Ainul Ridwan; Muldi Yuhendri
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/dz9ey776

Abstract

This study aims to design and implement a DC motor control system using a four-quadrant DC chopper to enhance motor operation flexibility and efficiency. Conventional DC motor control methods often suffer from high starting currents and limited speed control capabilities. The proposed system utilizes an H-Bridge chopper circuit controlled by MOSFETs with Pulse Width Modulation (PWM) signals generated by an Arduino Mega 2560 and programmed through MATLAB Simulink. The four-quadrant chopper enables motor operation in forward motoring, forward braking, reverse motoring, and reverse braking modes. Experimental results demonstrate that the system effectively regulates motor speed and direction while minimizing excessive inrush current. The test results indicate a direct correlation between PWM duty cycles and output voltage, validating the system’s ability to provide precise motor control. Furthermore, the integration of regenerative breaking enhances energy efficiency. This study provides a robust solution for DC motor control applications requiring bidirectional operation and dynamic speed adjustments
Bird Pest Control System with Sound Waves on Farmland Fikri Hidayat; Mukhlidi Muskhir; Fadhli Ranuharja
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e5rksj27

Abstract

The problem of pests on agricultural land is a significant challenge that can drastically reduce crop yields. Sound wave-based pest repellent systems were developed as a solution to overcome this problem without the use of chemicals that can damage the environment. This research aims to design and build a pest repellent by utilizing certain sound frequencies produced by amplifiers and speakers, which are activated when the PIR sensor detects pest movement. This tool uses an Arduino Uno as the main microcontroller to control the system, a PIR sensor to detect the movement of pests, and an RTC (Real-Time Clock) to set the device's operation schedule to match a specific time. This system is expected to be an effective and environmentally friendly solution to repel pests, as well as reduce damage to plants without disturbing the surrounding ecosystem. The testresults show that this tool can work well in detecting the presence of pests and activating the sound of repellents automatically, so that it is effective in maintaining the quality of crops on agricultural land
Maximum Power Point Tracking System Using Hill Climbing to Improve Solar Power Performance Korimah; Asnil
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/1trepc08

Abstract

This study compares the performance of conventional and modified hill climbing MPPT algorithms on solar panels in achieving maximum power under varying irradiance conditions. The modified hill climbing algorithm proves superior in reducing tracking time, lowering power oscillation levels, and increasing output power compared to the conventional method. Testing with irradiance variations shows that the modified algorithm is more responsive to environmental changes, allowing maximum power to be achieved more quickly and stably. The results of this study demonstrate that the implementation of the modified hill climbing algorithm significantly improves the efficiency of solar power systems, offering potential performance optimization for solar energy applications under various operational conditions
Early Detection of Floods Using Water Level Sensor Based on the Internet of Things Muhammad Fajar Rizky Ardy; Habibullah; Juli Sardi; Ricky Maulana
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/zfpex030

Abstract

Indonesia is located at the meeting point of two continental plates and is located on the equator, these conditions make Indonesia one of the countries that has a tropical climate with two seasons each year, namely the rainy season and the dry season. The prolonged rainy season due to weather changes that occur in various regions of Indonesia makes people have to be more careful about the possibility of flooding. Therefore, an effort is needed to minimize the loss of life and losses that occur by designing a flood detection system as a monitor of the water surface level. This early flood detection method uses a Tipping bucket which functions to measure the amount of rainfall, a Water Level Sensor which is used as a water level meter, thingspeak as an Internet of Things data webserver, and Solar Panels as a source of battery charging. After testing and analyzing the early flood detection device using the Internet of Things-based Water Level Sensor in flood-prone areas, the conclusion is that the early flood detection device functions effectively and the results obtained are in line with the objectives and performance of the device.
Toolbox Monitoring System Muhammad Irfan Muhammad Irfan; mukhlidi Muskhir
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/dv15em52

Abstract

This study develops and tests a wireless toolbox monitoring system designed to improve efficiency and security in tool management. The system uses infrared sensors to detect the presence of tools in the toolbox, then wirelessly transmits data to a server that stores the information in a database. Testing demonstrated that the system significantly reduces the time required by operators to check and locate tools, ensuring that tools are always available when needed. Additionally, the system enhances tool management security by providing automated real-time monitoring, which helps minimize the risk of tool loss. The database not only serves as a central data repository but also as a reporting tool for technicians to manage tool maintenance and replacement. Overall, the system has proven effective in accurately detecting tool presence, transmitting data wirelessly, and storing information in the database, supporting operational efficiency and informed decision-making for tool maintenance.
Microcontroller Based Dual Axis Solar Tracker with Internet of Things Meisi Yulia Putri; Doni Tri Putra Yanto
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rsssfk57

Abstract

for large-scale development in Indonesia. However, the efficiency of energy absorption in solar panels largely depends on the position and intensity of the sunlight received. This study aims to enhance energy absorption efficiency through the design of a Dual-Axis Solar Tracker system based on an ESP32 microcontroller integrated with the Internet of Things (IoT) platform. The system employs four LDR sensors to detect the direction of sunlight, two servo motors to adjust the panel’s position along horizontal and vertical axes, and utilizes the Blynk and Google Sheets applications for real-time monitoring and data logging. Experimental testing was conducted under clear weather conditions at Sparco Anak Air Residence, Jl. Bypass Batipuh Panjang, Koto Tangah, on September 24, 2025, from 10:00 to 12:17 local time (WIB). The results show that the system equipped with the solar tracker produced an average power output of 8.41 W, which is higher than the 5.57 W generated by the non-tracking system. The efficiency of the panel with the tracker reached 4.2%, compared to only 2.78% without the tracker, representing a 50.98% increase in power output. These findings demonstrate that the implementation of an IoT-based dual-axis solar tracker system can significantly improve the performance and energy conversion efficiency of solar panels.