Articles
The Design of Tachometer Contact and Non-Contact Using Microcontroller
Padang Tunggal, Tatiya;
Anggi Kirana, Lailicia;
Zuhri Arfianto, Afif;
T.Helmy, Elsayed;
Waseel, Farhad
Journal of Robotics and Control (JRC) Vol 1, No 3 (2020): May
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1315
Calibration is required for various kinds of tools from kitchen tools such as stirrers or mixers to medical tools such as temperature calibration, ECG, blood pressure, and other instrumentation tools to be according to the required standards. In medical devices, a digital tachometer has been used as a calibration support device to measure the speed of objects that rotate in RPM on the centrifuge. Some medical devices are calibrated in km/hour, for example, the ergo cycle and treadmill. Two different devices or a conversion from RPM to km/hour are required. The research aimed to design a measurement device that performed calibration of devices with different units, namely tachometer that can be used to measure speed in RPM and km/hr. Based on the research objective, a tool was made to measure the motor's rotational speed using the E18-D80NK sensor, microcontroller, and LCD without touching the object being measured.
The Design of Digital Liquid Density Meter Based on Arduino
Megantoro, Prisma;
Widjanarko, Andrei;
Rahim, Robbi;
Kunal, Kunal;
Zuhri Arfianto, Afif
Journal of Robotics and Control (JRC) Vol 1, No 1 (2020): January
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1101
A measure of liquid thickness is needed to make a dough or formula for medicinal syrup. The tools to measure the thickness available in the market are analog that is less accurate and precision. To overcome these problems, digital density measuring devices are needed. The limitation of the digital density meter, especially liquid, urges the author to carry out further research on the digitization of this measuring instrument. This research aims to make a digital density meter for liquid matter with a high level of measurement accuracy, as the reference measurement study for liquid density in digital form. The instrument was designed using the load cell method as the main sensor. It was also equipped with a DS18B20 water-resistant temperature sensor to measure the temperature of the liquid. The data were analyzed to obtain the accuracy and error of the liquid density measurement from the density meter. The liquid samples used for research were Pertamax, solar, and water. Sample accuracy and error measurement results were 99.83 percent and 0.17 percent respectively for Pertamax, 99.63 percent and 0.37 percent for solar and 99.46 percent and 0.54 percent for water. The measured density value was finally shown on the 16x2 LCD.
Motor DC PID System Regulator for Mini Conveyor Drive Based-on Matlab
Latif, Abdul;
Zuhri Arfianto, Afif;
Agus Widodo, Hendro;
Rahim, Robbi;
T.Helmy, Elsayed
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1636
The goal of the research was to develop a Proportional Integral Derivative (PID) control DC motor system as a Matlab-based driver mini conveyor to discover how to regulate speed on an actual mini conveyor where certain factors that impact the research are not considered 0. The hardware configuration of the mini conveyor used hollow steel as a frame and two copies of the roller belt for the stretch belt conveyor. The PID control system used an empirical approach to get the DC motor's response system to determine the best fit of proportional gain, integral gain and derivative gain, and then implement those PID control systems using Matlab and Arduino as the tools for data acquisition. The speed sensor (Rotary Encoder) was mounted on the roller belt to accurately gain read speed. This sensor will submit data on every increasing in PWM to accurately measure the speed and control speed at the same time, based on the set points. The consequence of this work was the proportional gain values = 0.94624747, the Integral gain = 51.4023958 and the derivative gain = 0.01941504. The PID control, designed to monitor the response of motor DC speed on this research, had successfully reached set point value and decreased steady state error from 47.16 percent to 1.015188 percent (unloaded) and 2.2020751 percent (loaded) on the real response device.
Accelerometer Implementation as Feedback on 5 Degree of Freedom Arm Robot
Kunal, Kunal;
Zuhri Arfianto, Afif;
Eko Poetro, Joessianto;
Waseel, Farhad;
Andri Atmoko, Rachmad
Journal of Robotics and Control (JRC) Vol 1, No 1 (2020): January
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1107
The research investigated the automatic control system implemented with the 5 DOF (Degree of Freedom) arm robot control system using the closed-loop control method with the MPU 6050 sensor, which integrated the rotation of the MG995 motor servo as a feedback function. The control of this robot used android–based application, in which the app sends data of the rotate angle for each servo motor rotated to a certain angle. The HC – 05 Bluetooth received the data and the Arduino UNO R3 microcontroller processed them. The microcontroller managed every rotation of each servo motor that integrated with an MPU6050 sensor with serial monitor communication to display the rotation of each servo motor. The test results obtained by the standard deviation value showed how large the sample diversity was. The result of this study showed a standard deviation correlation with the number of sample diversity. The higher the standard deviation value, the more sample data spread (data diverse or varies). Otherwise, the smaller the standard deviation value, the more homogenous the sample data. If the standard deviation equals zero, it indicates that the sample has identical data. The highest standard deviation value from servo motor 1 is 5.20, servo motor 2 and 3 are 1.00, servo motor 4 is 2.89, and servo motor 5 is 2.9
Temperature Monitoring System for Baby Incubator Based on Visual Basic
Latif, Abdul;
Zuhri Arfianto, Afif;
Eko Poetro, Joessianto;
Nguyen Phong, Thanh;
T.Helmy, Elsayed
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta
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An incubator room is conditioned to keep the temperature warm so the baby feels comfortable. A temperature monitor system for incubator room placed separately from where the officer works is a hassle. It wastes time. Temperature detector design for infant incubator which has constant temperature is necessary. An LM35 sensor as temperature detector was used in the design. The sensor was installed in a 100 x 80 cm room. The detected temperature was displayed on the LCD and computer in the staff room. Temperature (°C) is converted by an Arduino Uno microcontroller into an ADC (Analog Digital to Converter) value. Several LM35 sensors were mounted in rooms to detect the temperature. The LM 35 sensor was used by considering that it can be calibrated directly in the Celsius scale, a linear scale factor of 10mV/°C and has temperature range between -55 ° C and 150 ° C.
Internet of Things-Based Steam Pump Motor Protection Due to Voltage Unbalance
Saputra, Bagas Aji;
Hidayat, Edy Prasetyo;
Arfianto, Afif Zuhri
Journal of Robotics and Control (JRC) Vol 1, No 2 (2020): March
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1214
PLTGU is a gas and steam power plant, producing electrical energy of 3x526 MW. The PLTGU generation process has several supporting components, one of which is a three-phase induction motor. It requires a balanced three-phase supply voltage in its operation. The problem that frequently occurs is unbalanced voltage supply, causing an imbalance of current going to the motor stator, if not directly corrected. It causes a high temperature on the motor, possible to cause a fire. Based on the problems, a system for monitoring the protection of steam pump motorcycles due to voltage unbalance based on the Internet of Things is designed. It used a 1-phase AC Adapter voltage sensor, a current sensor SCT-013, an Arduino Uno as the processor, and a web to display the system. The test results showed that the sensor could work well. It could read voltage with an error percentage not exceeding 1%. The percentage error of the current sensor SCT-013 was 5.15%, but the value difference between the sensor and the Avo meter was 0.01. The system was displayed on the web to make to monitor the motor condition more easily
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95
Afif Zuhri Arfianto;
Mohammad Basuki Rahmat;
Fuad Dhiyavia;
Tri Budi Santoso;
Nyoman Gunantara;
Eko Supriyanto;
Valian Yoga Pudya Ardhana
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics
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DOI: 10.30630/joiv.4.4.492
Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor  and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the  results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds.  Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes.  Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
The Design of Digital Liquid Density Meter Based on Arduino
Prisma Megantoro;
Andrei Widjanarko;
Robbi Rahim;
Kunal Kunal;
Afif Zuhri Arfianto
Journal of Robotics and Control (JRC) Vol 1, No 1 (2020): January
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1101
A measure of liquid thickness is needed to make a dough or formula for medicinal syrup. The tools to measure the thickness available in the market are analog that is less accurate and precision. To overcome these problems, digital density measuring devices are needed. The limitation of the digital density meter, especially liquid, urges the author to carry out further research on the digitization of this measuring instrument. This research aims to make a digital density meter for liquid matter with a high level of measurement accuracy, as the reference measurement study for liquid density in digital form. The instrument was designed using the load cell method as the main sensor. It was also equipped with a DS18B20 water-resistant temperature sensor to measure the temperature of the liquid. The data were analyzed to obtain the accuracy and error of the liquid density measurement from the density meter. The liquid samples used for research were Pertamax, solar, and water. Sample accuracy and error measurement results were 99.83 percent and 0.17 percent respectively for Pertamax, 99.63 percent and 0.37 percent for solar and 99.46 percent and 0.54 percent for water. The measured density value was finally shown on the 16x2 LCD.
Motor DC PID System Regulator for Mini Conveyor Drive Based-on Matlab
Abdul Latif;
Afif Zuhri Arfianto;
Hendro Agus Widodo;
Robbi Rahim;
Elsayed T.Helmy
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1636
The goal of the research was to develop a Proportional Integral Derivative (PID) control DC motor system as a Matlab-based driver mini conveyor to discover how to regulate speed on an actual mini conveyor where certain factors that impact the research are not considered 0. The hardware configuration of the mini conveyor used hollow steel as a frame and two copies of the roller belt for the stretch belt conveyor. The PID control system used an empirical approach to get the DC motor's response system to determine the best fit of proportional gain, integral gain and derivative gain, and then implement those PID control systems using Matlab and Arduino as the tools for data acquisition. The speed sensor (Rotary Encoder) was mounted on the roller belt to accurately gain read speed. This sensor will submit data on every increasing in PWM to accurately measure the speed and control speed at the same time, based on the set points. The consequence of this work was the proportional gain values = 0.94624747, the Integral gain = 51.4023958 and the derivative gain = 0.01941504. The PID control, designed to monitor the response of motor DC speed on this research, had successfully reached set point value and decreased steady state error from 47.16 percent to 1.015188 percent (unloaded) and 2.2020751 percent (loaded) on the real response device.
Accelerometer Implementation as Feedback on 5 Degree of Freedom Arm Robot
Kunal Kunal;
Afif Zuhri Arfianto;
Joessianto Eko Poetro;
Farhad Waseel;
Rachmad Andri Atmoko
Journal of Robotics and Control (JRC) Vol 1, No 1 (2020): January
Publisher : Universitas Muhammadiyah Yogyakarta
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DOI: 10.18196/jrc.1107
The research investigated the automatic control system implemented with the 5 DOF (Degree of Freedom) arm robot control system using the closed-loop control method with the MPU 6050 sensor, which integrated the rotation of the MG995 motor servo as a feedback function. The control of this robot used android–based application, in which the app sends data of the rotate angle for each servo motor rotated to a certain angle. The HC – 05 Bluetooth received the data and the Arduino UNO R3 microcontroller processed them. The microcontroller managed every rotation of each servo motor that integrated with an MPU6050 sensor with serial monitor communication to display the rotation of each servo motor. The test results obtained by the standard deviation value showed how large the sample diversity was. The result of this study showed a standard deviation correlation with the number of sample diversity. The higher the standard deviation value, the more sample data spread (data diverse or varies). Otherwise, the smaller the standard deviation value, the more homogenous the sample data. If the standard deviation equals zero, it indicates that the sample has identical data. The highest standard deviation value from servo motor 1 is 5.20, servo motor 2 and 3 are 1.00, servo motor 4 is 2.89, and servo motor 5 is 2.9