Journal of Robotics and Control (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.
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<![CDATA[Optimized Harmonic Reduction PWM based Control Technique for Three-Phase quasi Z-Source Inverter ]]>
<![CDATA[Pritam Kumar Gayen]]>;
<![CDATA[Archak Sadhukhan]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2488
<![CDATA[This paper proposes an optimized harmonic reduction pulse width modulation (HRPWM) control strategy for three-phase quasi Z-source inverter (qZSI). In traditional sinusoidal or space vector pulse width modulation techniques, the flexibility in adjustment of individual switching angles is not possible and thus, these techniques are not optimum choices for low switching frequency operations of high/medium power qZSI. In the proposed technique, adjustments of switching angles of HRPWM waveform are possible to achieve optimum performance. The optimum performance is targeted as maximization of boosting factor and simultaneous minimization of weighted total harmonic distortion (WTHD) at the output voltage of qZSI. The hybrid particle swarm optimization gravitational search algorithm (PSOGSA) is used for computation of optimum switching angles of suggested HRPWM waveform at various modulation indices. The obtained WTHDs up to 49th order harmonics and boosting factors of optimized HRPWM methodology are compared with that of the maximum boost control (MBC) technique for qZSI to justify superior performances of the suggested method in low switching frequency range. The proposed concept has been verified via simulation study. The experimentation (qZSI controlled by microcontroller) validates the working of optimized HRPWM based qZSI which agrees with software results.]]>
<![CDATA[Mixing and controlling the pH of citrate and phosphate with website ]]>
<![CDATA[Syahrul Syahrul]]>;
<![CDATA[Ilham Komarujaman]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2494
<![CDATA[In this study built an instrument capable of mixing and controlling chemical pH of citrate solution and phosphate solution as buffer solution. The problem often experienced in mixing chemicals is a matter of safety and the accuracy of the concentration of the mixing of the substance. The function of this instrument is to mix and control the pH of the citrate and phosphate solution. It is hoped that in the presence of this instrument, the manufacture of citrate solutions and phosphate solutions can be carried out electronically which does not involve manual calculations to obtain the desired pH of the solution, and is relatively safe from direct contact with chemicals. This instrument is built using a pH sensor as the sensing pH value of the solution to be made. And as a controller used microcontroller. Results of pH control other than can be stored in the database, can also be transmitted to the internet (website) using a wifi interface device. Mixers and pH controls of citrate and phosphate have been realized and resulted in good pH control.]]>
<![CDATA[IR Based Auto-Recharging System for Autonomous Mobile Robot ]]>
<![CDATA[Rao, M.V.Sreenivas]]>;
<![CDATA[Shivakumar, M.]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2486
<![CDATA[As autonomous mobile robots are progressively utilized for appropriated missions, a significant issue that should be tackled is the autonomous recharging problem. The robots can be recharged by planning and arranging effectively to maximize its working efficiency. This paper presents the implementation of automatic docking robot with docking strategy and recharging capabilities. The robot is programmed using an algorithm which will guide the robot to move around in a square path of 30 inch by 30 inch continuously. While the robot is performing its assigned task, the battery remaining voltage is monitored by voltage detection module. When the battery voltage reaches threshold value of less than 12V, the microcontroller commands the robot to go back to the docking station for recharging autonomously. This system uses IR receiver sensor in front of the robot and IR transmitter sensor near docking station. The active IR transmitter sensor which transmit infrared signal located near docking area serves as landmark in guiding robot towards docking area. The robot scans the transmitted IR signal from the sensor transmitter only when it needs to charge its battery, if detected it will take the path of charging station. Once the robot approaches the charging station with the required orientation, it connects to the supply terminals for charging. The data related to battery charging voltage is transmitted by microcontroller through Bluetooth HC-05 to PLX DAQ software tool in PC stores it in the Excel sheet as the data arrive. Once the battery is fully charged the robot moves back to continue its original task.]]>
<![CDATA[The Design of Electro Cardiograph Signal Generator Using IC 14521 and IC 14017 ]]>
<![CDATA[Wijaya, Nur Hudha]]>;
<![CDATA[Arif Rijali, Wahidun]]>;
<![CDATA[Shahu, Nishith]]>;
<![CDATA[Ahmad, Irfan]]>;
<![CDATA[Andri Atmoko, Rachmad]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2490
<![CDATA[ECG or Electrocardiograph is a tool to find out the electrical activity of the heart in patients. Electrocardiogram (ECG) is a graphic result records electrical potential resulting from by heartbeat, (Mervin J. Goldman, 1990). ECG recording very useful to know present certain hypertrophy, arrhythmia, pericarditis, for example potassium electrolyte disturbances. Tool this be named generator signal ECG. Tool the generator signal ECG functioning for produce the signal Electric heart in adult patient sand to check ECG error or no. So that it can ease technical electro medic in maintenance medical equipment periodically. The tool utilizes IC 14521 as oscillator or signal generator and using IC 14 017 as a shift register who has responsibility to remove from pin 1 to pin the other. The benefits of the ECG signal generating device so that technical electro medic easy and not difficult in check ECG without must using patients. So this tool as a form clone of the human heart. The tool such as a patient simulator. Based on the results of laboratory tests that have been done with the author concluded that, ECG signal generating device to function properly so that produce form of mock patient's heart signal that shown monitored oscilloscope in the waveform display P, Q, R, S, T.]]>
<![CDATA[Design of Multisensor Automatic Fan Control System Using Sugeno Fuzzy Method ]]>
<![CDATA[Robson, Willy]]>;
<![CDATA[Ernawati, Iin]]>;
<![CDATA[Nugrahaeni, Catur]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2496
<![CDATA[In the Decree of the Minister of Health number 1405, it is stated that a good temperature and humidity for the room is in the range 18 ° C-28 ° C and 40% -60% and if the temperature or humidity is above the stated range, a tool is needed to cool the room, one of which is is a fan and a device to humidify the room [1]. Then there are also problems regarding frequently forgetting to turn off fans that are no longer used. With this problem, it is necessary to have a system that can control the air conditioner, a system that can make the fan work automatically, that is, it can turn on and off and adjust the motor speed according to room temperature requirements when the fan is on. PIR (Passive Infrared) sensors and DHT-22 sensors are sensors that will be applied to this system as well as the application of the Fuzzy Sugeno Logic method to regulate the work of the system so that it can work automatically.]]>
<![CDATA[Communication Systems of Smart Agriculture Based on Wireless Sensor Networks in IoT ]]>
<![CDATA[Atmaja, Ardian Prima]]>;
<![CDATA[Hakim, Aulia El]]>;
<![CDATA[Wibowo, Ari Purnomo Aji]]>;
<![CDATA[Pratama, Lasardi Abdi]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2495
<![CDATA[As technology develops, major countries have begun to implement the Smart Agriculture system and Internet of Things to facilitate farmers in managing their agricultural land. This study discusses the communication system of Smart Agriculture based on Internet of Things. Data from the sensor will be sent by Wireless Sensor Network to Raspberry Pi and send it to the database server which can then be accessed via the internet using android applications. Android applications can be used to monitor soil pH sensors and moisture. In addition, the control of sluice gates and water pumps can also be done manually and automatically. So that water can be controlled through applications and the web remotely. The success percentage of the communication system of Smart Agriculture based on the Internet of Things is 100% because all data from the sensor are successfully received by the Raspberry Pi and sent to the database so it can be accessed through the built-in android application and website.]]>
<![CDATA[Application for Selection of Student Final Project Supervisors Based on the Selected Category and Expertise of Lecturers Using the Naive Bayes Classifier Method ]]>
<![CDATA[Ikhsanudin, Muhamad]]>;
<![CDATA[Irawan, Yuda]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2499
<![CDATA[At the end of the task the supervisor has an important role for the success achieved and graduation of students. For this reason, ideal supervisors are needed for students. As discussed in the STMIK Hang Tuah Pekanbaru in the process of submitting the title of this thesis, so are some of the problems that arise, namely regarding the matter of coaching because the process is still using conventional methods that is based on personal knowledge of the Head of Study Program, the difficulty of the development process of submitting the Student's final position for difficulties check the final supervisor's assignment. The application of selecting the final project supervisor for students is the solution of the debate. The supervisor lecturer recommendation system that can utilize the naïve bayes classifier algorithm as a determinant of the probability of the lecturer results students can choose. Naive Bayes is a prediction technique based on simple probabilities based on the application of the Bayes theorem (Bayes rule) with a strong assumption of independence. The selection is based on the final criteria for the assignment and expertise of the lecturer. From the application of this recommendation is obtained from the recommendations of supervisors in accordance with the concept of the student's final project. With reference data, training and Bayes rules obtained sufficient results to satisfy students in getting a supervisor who is in accordance with the topic of the student's final project.]]>
<![CDATA[Automatic Floor Cleaning Robot Using Arduino and Ultrasonic Sensor ]]>
<![CDATA[Yuda Irawan]]>;
<![CDATA[Muhardi Muhardi]]>;
<![CDATA[Rian Ordila]]>;
<![CDATA[Roni Diandra]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2485
<![CDATA[The entire floor cleaning robot is divided into several parts, namely consisting of an Ultrasonic Sensor, Motor Shield L298, Arduino Uno microcontroller, Servo, and Dc Motor. This tool works when the Arduino Uno microcontroller processes the ultrasonic sensor as a distance detector and a DC motor as a robot driver, then the DC motor is driven by the Motor Shield L298. When an ultrasonic sensor detects a barrier in front of it, the robot will automatically look for a direction that is not a barrier to the floor cleaning robot. The distance value on the sensor has been determined, that is, when the distance read by the ultrasonic sensor is below 15 cm. The results of testing the value of the ultrasonic sensor distance found different conditions that occur. In a distance of 15 cm, the condition of the prototype cleaning robot for the road floor cleaning is obtained, while the distance 15 cm, the condition for the prototype of the street floor cleaning robot has stopped.]]>
<![CDATA[Water Level Control Monitoring Based On Arduino Uno R3 Atmega 238p Using Lm016l LCD at STMIK Hang Tuah Pekanbaru ]]>
<![CDATA[Refni Wahyuni]]>;
<![CDATA[Jeri Trio Sentana]]>;
<![CDATA[Muhardi Muhardi]]>;
<![CDATA[Yuda Irawan]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.2489
<![CDATA[Water plays an important role in the survival of living creatures on earth. The advancement of computerized technology encourages people to make appropriate equipment that can be utilized in various aspects of life, such as ease in controlling the performance of water pumps in the shelter. STMIK Hang Tuah Pekanbaru uses system level switch but there are some weaknesses also in this system level switch that pump will live more than 1 time a day if there is damage to the buoy. In this study will be made a tool that can do the monitoring water height automatically. "Monitoring Water Level Control Arduino Uno using LCD Lm016l" which is able to monitor and control the water level in the Tandon using ultrasonic sensors. The working principle of the appliance is that if the water reservoir is empty or reaches the 20% level, the ultrasonic HC-SR04 sensor will detect the water level and give signal to arduino uno to switch the water tank filler pump and send the water level data to the LCD. If the water reservoir is in full condition or reaches the 100% level, the ultrasonic HC-SR04 sensor will detect the water level and give signal to arduino uno to automatically turn off the automatic water supply pump and transmit the water level data on the LCD, making it easier to control the inventory water.]]>
<![CDATA[Wheeled Robot Design with Brain Wave Headset Control System ]]>
<![CDATA[Arif Wibisono]]>
<![CDATA[ Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jrc.24100
<![CDATA[The development of the world of robotics is inevitable with the rapid development of supporting science and technology. There are various types and classifications of robots, although the basic development is not much different. One type of robot that is in demand and the most widely developed is the wheeled robot. The robot component itself is generally divided into 3 parts, the first sensor, the second processor or component processor and actuator, in this study which behaves as an actuator is a wheel, while that behaves as a sensor, researchers utilize brainwave reader headsets from neurosky, and those that served as a processor component or processor using Arduino Uno R3. The neurosky headset works wirelessly using a Bluetooth connection, and the data sent is in the form of a brain wave power level (blink streght level). Before it can be translated into a telepathic brain command, this signal is first captured and processed using an android handset using an application that is built based on blynk IoT, then after that the command is sent to Arduino as a robot processing component that has previously been fitted with HC-06 bluetooth module hardware. to capture wireless broadcasts from an android device, only after that the signal is processed by Arduino becomes a command to move forward, backward, left, right wheeled robot by the L298N motor driver. The test results in an ideal environment showed an average system success of 85%, while testing in a non-ideal environment (with obstacles of space and distance) showed an average system success of 40% with each test carried out 10 times.]]>
