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Sensor Coordination for Behavior of Search Robot Using Simultaneous Localization and Mapping (SLAM) Indra Adji Sulistijono; Endah Suryawati N.; Eko Henfri B; Ali Husein A; Ananda Verdi S
IPTEK The Journal of Engineering Vol. 2 No. 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

We developed a robot for searching victims for survivors of natural disasters. Almost all robots need to navigate a state in the environment to help people around them, therefore the robot should have performance a mapping system. Thus improve the performance of robots in knowing the obstacles, the position and the direction toward the robot with the task of each sensor is to detect obstacles or objects that exist in the use of ultrasonic sensors to avoid bumping into obstacles, to detect the position and determine the distance of the robot using a rotary sensor encoder and to determine the direction toward, direction and elevation angle of the robot using IMU sensor. Whole of the sensor is set by the microcontroller STM32F407VGT6 that sent data from each sensor to a PC using XBee Pro. Therefore, robot create a mapping with OpenGL on the PC. Mapping system plays an important role for fast and accurate to the destination. We conclude, in the robot SLAM method depends on the precision of the data in the sensor US2 (Right), US4 (Left) and the rotary encoder. The test results of the output data at the right ultrasonic sensor produces error US2 16.9%, 14.6% US4 left ultrasonic and rotary encoder sensor error to 19.45%.
Design of an IoT-Based Smart Pole for Detecting Manipulation of Plantation Boundary Markers Alwansyah Muhammad Mahardhika Endrawan; Mohammad Syafrudin; Ali Husein Alasiry
Journal of Electrical and Intelligent Systems Vol. 1 No. 2 (2026): September
Publisher : Politeknik Elektronika Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68129/jeis.v1i2.10

Abstract

Boundary markers are vulnerable to displacement and manipulation, while conventional inspection methods are unable to provide real-time monitoring. This study proposes an Internet of Things (IoT)-based Smart Pole system integrating a uBlox NEO-M8N GNSS module, HMC5883L magnetometer, LoRa EBYTE E32 communication, SIM7600G-H cellular gateway, and a solar-powered subsystem for autonomous boundary marker monitoring. System performance was evaluated through sensor accuracy, communication reliability, and integrated testing. Results showed that the GPS module achieved an average positioning error of 1.60 m (89.33% accuracy), while the HMC5883L achieved an average orientation error of 3.11%, with a maximum MAE of 1.70° and RMSE of 2.05°. The LoRa EBYTE E32 achieved an average PDR of 97.75% with 2.25% packet loss, whereas the SIM7600G-H gateway achieved a 97.0% success rate with 3.0% communication error. The solar subsystem, consisting of a 30 W photovoltaic panel and a 12 V 7.5 Ah SLA battery, provided stable autonomous operation. Integrated testing confirmed reliable detection of displacement and orientation changes, real-time dashboard visualization, and Telegram alert delivery. These results demonstrate that the proposed Smart Pole is a reliable and energy-autonomous solution for real-time plantation boundary marker monitoring.