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Nurhayati
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Departement of Electrical Engineering Faculty of Engineering Universitas Negeri Surabaya
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INDONESIA
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering)
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 26142589     DOI : 10.26740/inajeee
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
INAJEEE or Indonesian Journal of Electrical and Eletronics Engineering (E-ISSN 2614-2589) is a scientific peer-reviewed journal issued by The Department of Electronics, Faculty of Engineering, Universitas Negeri Surabaya (UNESA). Accepted articles will be published online and the article can be downloaded for free (free of charge). INAJEEE is published periodically (2 issues per volume/year) with 5 articles each time published (10 articles per year). INAJEEE is free (open source) all to access and download. The journal includes developments and research in the field of Electronic Engineering, both theoretical studies, experiments, and applications, including: 1. Electronics Engineering 2. Power system Engineering 3. Telematics 4. Control System Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 9 No. 1 (2026): Februari" : 5 Documents clear
Design And Development of An IoT-Based Automatic Magnetic Balance Testing Device for Three-Phase Transformers at PT. Bambang Djaja Kharisma Aji Saputra Wardani; Miftahur Rohman
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p1-6

Abstract

Magnetic Balance testing on three-phase transformers that are still done manually has the potential to cause human error and delays in defect identification. This research aims to develop an automatic Magnetic Balance testing tool based on the Internet of Things (IoT) using Arduino Mega 2560 microcontroller and Wemos D1 mini (ESP8266) connected to Google Spreadsheet as an online data logger. Voltage regulation on each phase is done automatically through a relay, while the measurement results are displayed on the LCD and recorded in real-time to the Spreadsheet. Based on the test results, the device functions properly and meets the Magnetic Balance testing standards, this is evidenced when we test one of the phases, the voltage value read in the other two phases when summed is close to or in accordance with the phase that is given a voltage. The successful integration of the system with Spreadsheet allows remote monitoring of test results and supports early detection of potential transformer damage. Keywords: Arduino Mega 2560, Google Spreadsheet, Internet of Things, Magnetic Balance, Wemos D1 mini ESP8266.
IoT System Design for Dragon Fruit Plants Lighting and Watering Automation Using Fuzzy Method Muhammad Rizqi Maulana; Miftahur Rohman
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p7-13

Abstract

Dragon fruit is a high-value commodity that has gained increasing popularity in the global market, yet requires intensive care, particularly in terms of precise watering and lighting management. In Indonesia, dragon fruit cultivation often faces challenges due to reliance on imprecise manual systems. Conventional systems currently available are frequently inefficient as they cannot dynamically adapt to fluctuating environmental conditions. Therefore, this research aims to develop an IoT-based automation system capable of optimizing dragon fruit growth through intelligent watering and lighting control using more adaptive fuzzy logic methods. The system is designed with an ESP32 microcontroller as the control center, integrated with a YL-69 soil moisture sensor and LDR light sensor. Both sensors were calibrated with high accuracy, showing errors of 2.85% for the moisture sensor and 2.80% for the light sensor respectively. Sensor data is then processed using fuzzy logic to generate proportional control through PWM modulation for water pump and LED light actuators. System implementation demonstrates robust performance, where lights turn on fully at light intensity ≤110 lux, dim at 110-640 lux, and turn off above 640 lux. Meanwhile, the pump operates at maximum capacity when soil moisture ≤45%, at half power between 45-70%, and stops above 70%. The Blynk platform is utilized for real-time environmental monitoring through a user-friendly mobile interface. Twenty-four hours test showed that the system is responsive and adaptive, and has the potential to increase water and energy efficiency compared to conventional systems. Keyword: Dragon Fruit, ESP32, Fuzzy logic, Internet of Things
Design And Implementation of a Depth Stability Control System Using A Water Pressure Sensor on An Underwater Remotely Operated Vehicle (ROV) M. Afid Afandi; Puput Wanarti Rusimamto
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p14-22

Abstract

This research aims to design and implement a depth control system for an Underwater ROV using the MS5837-30BA water pressure sensor, controlled by ESP8266 and STM32 microcontrollers. Data is transmitted in real time to a Ground Control Station (GCS), which also allows PID parameter configuration and joystick control. Initial testing of the sensor showed an average absolute error of 0.73 cm after adjustment. The PID control system was implemented using two approaches: MATLAB simulation and the trial-and-error method. The results show that the ROV depth control system can effectively maintain a setpoint of 50 cm below the water surface. The best performance was achieved using the trial-and-error method with PID parameters of Kp=31, Ki=0.5, and Kd=9. The system response demonstrated 0% overshoot, 0.02 cm steady-state error, 1.3 seconds rise time, and 1.6 seconds settling time. Keywords: Underwater ROV, MS5837-30BA, PID Controller, Depth Control, System Identification
IoT-Based Smart Door Lock Design for Multi-Stage Locking in Sterilization Rooms Muhammad Danny Setiawan; Miftahur Rohman
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p23-27

Abstract

This research presents the design and development of an Internet of Things (IoT)-based Smart Door Lock system implemented in a sterilization room with a step-by-step locking mechanism. The system is designed to improve security and ensure that sterilization procedures are carried out according to standards, where doors can only be accessed sequentially as predetermined. The hardware consists of an ESP32 microcontroller connected to a fingerprint sensor for user authentication and a solenoid door lock as the door actuator. The system is also integrated with an IoT-based server, enabling real-time monitoring of door status through a mobile application. Experimental results show that the system functions properly, allowing doors to open only according to the specified sequence, while access data can be stored and monitored online. Therefore, this Smart Door Lock system provides an effective solution to support both security and operational efficiency in sterilization rooms. Keywords: Smart Door Lock, IoT, ESP32, sterilization room, step-by-step locking.
PID-Based Position and Trajectory Control of a Four-Wheeled Omnidirectional Robot Using Robot Operating System (ROS) Mohammad Febri Duwi Prasetiyo; Parama Diptya Widayaka
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p28-35

Abstract

Precise position control in omnidirectional mobile robots is essential for applications in industrial automation and competitive robotics, including the Indonesian Robot Contest (Soccer Wheeled Middle Size League Division). This study aims to develop and evaluate a position control system for a four-wheeled omnidirectional robot using a PID controller through both simulation and physical implementation within the Robot Operating System (ROS) framework. The research was conducted by designing a robot model with four omniwheels arranged at 90° angles, integrating sensor fusion using an MPU6050 gyroscope, rotary encoders, and magnetic encoders to provide real-time position feedback (x, y, θ). PID parameters were tuned using Ziegler-Nichols and trial-and-error methods and tested across five trajectory scenarios: straight line, L-pattern, square, triangle, and maneuver paths. Simulation results using ROS-Gazebo demonstrated optimal performance with 1.60% overshoot, 0.732 s rise time, 2.380 s settling time, and 0.0018 m/s steady-state error. Physical implementation revealed that trial-and-error tuning provided the most balanced performance with 0.684 s rise time, 3.29% overshoot, and 2.872 s settling time, showing better adaptability to real-world disturbances compared to the more aggressive Ziegler-Nichols response. The PID controller effectively reduced overshoot from 8.85% to 3.29% and RMSE from 0.7025 to 0.4279 m/s compared to uncontrolled operation. These findings demonstrate the effectiveness of the proposed control system in achieving accurate positioning and trajectory tracking, with strong consistency between simulation results and real-world testing results. This research contributes to quality education in robotics (SDG 4), supports innovation in industrial automation (SDG 9), and establishes a foundation for collaborative research and development in robotic systems (SDG 17).

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