cover
Contact Name
Iswanto
Contact Email
-
Phone
+628995023004
Journal Mail Official
jrc@umy.ac.id
Editorial Address
Kantor LP3M Gedung D Kampus Terpadu UMY Jl. Brawijaya, Kasihan, Bantul, Yogyakarta 55183
Location
Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
Journal of Robotics and Control (JRC)
ISSN : 27155056     EISSN : 27155072     DOI : https://doi.org/10.18196/jrc
Journal of Robotics and Control (JRC) is an international open-access journal published by Universitas Muhammadiyah Yogyakarta. The journal invites students, researchers, and engineers to contribute to the development of theoretical and practice-oriented theories of Robotics and Control. Its scope includes (but not limited) to the following: Manipulator Robot, Mobile Robot, Flying Robot, Autonomous Robot, Automation Control, Programmable Logic Controller (PLC), SCADA, DCS, Wonderware, Industrial Robot, Robot Controller, Classical Control, Modern Control, Feedback Control, PID Controller, Fuzzy Logic Controller, State Feedback Controller, Neural Network Control, Linear Control, Optimal Control, Nonlinear Control, Robust Control, Adaptive Control, Geometry Control, Visual Control, Tracking Control, Artificial Intelligence, Power Electronic Control System, Grid Control, DC-DC Converter Control, Embedded Intelligence, Network Control System, Automatic Control and etc.
Articles 36 Documents
Search results for , issue "Vol 2, No 3 (2021): May" : 36 Documents clear
Noise Reduction in the Accelerometer and Gyroscope Sensor with the Kalman Filter Algorithm Rio Ikhsan Alfian; Alfian Ma'arif; Sunardi Sunardi
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2375

Abstract

Noise is unwanted signals in a communication or information system. Kalman filter has a good ability to handle noise. This study uses the Kalman filter algorithm that works to reduce noise at the accelerometer and gyroscope sensor output. Data were taken using the accelerometer sensor and the gyroscope sensor in a stationary condition. The device is Arduino Uno for processing the data and MPU6050 for accelerometer and gyroscope sensor. In the Kalman filter algorithm, there is process variance matrix and measurement variance matrix parameters that affect noise attenuation or reduction at the accelerometer and gyroscope output. If the difference between the two parameters is too large, then the attenuation becomes very large and eliminates the original value of the sensor output. Thus, the value cannot be chosen carelessly. The best value is the measurement variance matrix must bigger than the process variance matrix.
An optimized K-Nearest Neighbor based breast cancer detection Tsehay Admassu Assegie
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2363

Abstract

In this research, a grid search is employed to find the optimal parameter and an optimized K-Nearest Neighbor (KNN) based breast cancer detection model is proposed. The grid search is used to find the best combinations of parameters that could produce better breast cancer detection accuracy. Moreover, this study explored the effect of parameter tuning on the performance of KNN algorithm foe breast cancer detection. The findings of this research reveals that parameter tuning has a significant effect on the performance of the proposed model. The effect of parameter tuning on the performance of KNN algorithm is experimentally tested using Wisconsin breast cancer dataset collected from kaggle data repository. Finally, we have compared the performance of the KNN algorithm with the tuned hyper-parameter and with default hyper-parameter. The result analysis on the performance of the KNN algorithm on breast cancer detection on the test dataset reveals that the accuracy of the proposed optimized model is 94.35% and the performance of the KNN algorithm with the default hyper-parameter is 90.10%.
Stability Data Xbee S2b Zigbee Communication on Arduino Based Sumo Robot I Made Aditya Nugraha; I Gusti Made Ngurah Desnanjaya; I Wayan Dani Pranata; Wawan Harianto
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2370

Abstract

Wireless technology is a solution to reach hard-to-reach places using cable technology. The use of wireless technology can reach these areas without using copper or cables in the data transmission process. Communication technology using wireless is one solution to connect the control system to support the creation and achievement of the goals of the 4.0 revolution so that control and monitoring become easier. With the convenience provided by wireless technology such as connecting various types of system devices between other systems. One type of wireless technology is WPAN, especially on the ZigBee system from Digi International with the IEEE 802.15.4 protocol standard with low power consumption and working at a frequency of 2.4 GHz. Utilization of the communication system from the ZigBee protocol can control according to the range capabilities of the ZigBee system. ZigBee's ability and use of communication can perform communication control robot sumobot (slave robot) and remote control (robot leader) as an introduction to command data to carry out movements on the slave robot in accordance with the orders from the robot leader After trying XBEE to send data at a certain distance without experiencing data loss, the best distance is obtained, namely 1 - 100 meters with the firmware coordinator and router settings. Data delays can be minimized with a transfer rate of 3 kbps in the data transfer rate.
Fire Early Warning Using Fire Sensors, Microcontroller and SMS Gateway Rizqi Sukma Kharisma; Ardi Setiyansah
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2372

Abstract

A fire disaster that does not save can certainly cause losses, both in the form of objects and casualties. This occurs for several reasons: late information obtained from the fire department or the owner's ignorance at the time of a fire. In this study, a fire early detection system was built using smoke, heat, and gas sensors based on an SMS gateway and an alarm. This system is used to provide information about fire detection as early as possible to protect against fire disasters. With this system, the potential and risk of fire can be reduced. This system is used to identify potential fires that occur in housing. Several experiments were carried out with fire simulations to get the reaction from the sensors used. Covers smoke testing, temperature testing, gas testing, and SMS message responses from various providers. This research produces a fire early warning system that provides SMS and alarm alerts.
Intelligent Manufacturing Production Line Simulation of Super Capacitor Li He; Tengyu Li; Bin He
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2374

Abstract

With the improvement of sensing technology, the improvement of software and hardware technology and computer operation ability, the digital twin technology has been further developed with the promotion of industrial intelligence and industrial information system. Digital twin technology is gradually applied to the simulation design and optimization of complex production line. The production line of super capacitor is a kind of complex production lines, so many factors need to be considered in the design process. Therefore, the digital twin technology is used to design the production line. In this paper, the plant simulation software of Siemens company is used to simulate the super capacitor production line, so as to verify the rationality of the application of digital twin technology in the complex production line design process, and study the influence of AGV car characteristics on the production line. Simulation in virtual space can well demonstrate the actual production process. The failure and other factors in the actual production process can be replaced in the form of failure rate in the simulation environment. Data statistics and other functions can directly see the changes of various parameters in the production line, to get a better optimization scheme.
The Design of Earthquake Detector Using Pendulum Swing Based on ATMega328 Ipin Prasojo; Andino Maseleno; Omar tanane; Nishith Shahu
Journal of Robotics and Control (JRC) Vol 2, No 3 (2021): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2380

Abstract

Earthquake is a vibration  that occur on the surface of the earth, earthquakes are usually caused by the movement of the earth's crust (earth's plates). Earthquakes are also used to indicate the area from which the earthquake occurred. Even though our earth is solid, it always moves and earthquakes occur when the pressure caused by that movement is too large to be able to withstand. One of the effects of the earthquake vibration itself that reaches the earth's surface and if the vibration is large enough can damage buildings and other infrastructure such as roads and bridges, railroad tracks, dams and others, causing casualties and property losses. So that we can avoid the danger caused by an earthquake, it is necessary to design an earthquake detection device with a pendulum swing method based on the ATMega328 Microcontroller. The ATMega328 microcontroller is the core of all the systems that exist in this design. In the design of earthquake measuring device using infrared sensors and photodiodes. Where the infrared beam construction is determined by the pendulum which detects the swing.

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