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Journal of Robotics and Control (JRC)
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 27155056     EISSN : 27155072     DOI : https://doi.org/10.18196/jrc
Core Subject : Science, Engineering,
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 13 Documents
 1   2 
Search results for , issue "Vol 1, No 6 (2020): November" : 13 Documents clear
Forecasting of The Number of Schizophrenia Disorder by using The Box-Jenkins of Time Series Analysis Humaira, Syifa Putri; Nursuprianah, Indah; Darwan, Darwan
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1640

Abstract

Schizophrenia is a mental disorder with a complex brain disorder that causes sufferers not to be able to distinguish between reality and imagination. This study aims to determine the parameters for the best model Box-Jenkins time series analysis in predicting the number of schizophrenic in Cirebon City in 2018 as seen from the smallest MSE (Mean Square Error) value. This study uses Box Jenkins method (often referred to as the ARIMA Method) with documentation collection techniques and literature studies. The documentation aims to collect data on the number of schizophrenic patients in January 2014 to December 2018. Data were analyzed in several stages, namely the stage of data stationary identification, determining model parameter estimates, model verification and forecasting. The results of this study show that the best model for predicting the number of schizophrenic patients in the future is ARIMA (0,1,1). The forecasting results of the number of schizophrenic patients in Cirebon City from January to December 2018 respectively are 69 people, 68 people, 68 people, 68 people, 68 people, 68 people, 67 people, 67 people, 67 people, 67 people, 67 people, 67 people.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1636

Abstract

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.
Continuous Power Flow and Time Domain Analysis for Assessing Voltage Stability Oktaviani, Wiwin Armoldo; Barlian, Taufik; Apriani, Yosi; Syarif, Nugraha
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1637

Abstract

Voltage instability is considered one of the primary sources of insecurity in power systems. Voltage instability is the phenomenon in which the voltage on the receiver's side is dropping far below the normal value and does not return even after establishing a voltage recovery mechanism, or continue to oscillate due to lack of attenuation. In this study, there will be a voltage stability analysis on the power system in several phases by conducting a power flow analysis, static voltage stability analysis using continuous power flow method, and dynamic voltage stability analysis using the time-domain analysis. The power system tested on this research is the IEEE 6 bus system from Wood Wollenberg, with the software used for the simulation, which is PSAT. The results show that voltage stability analysis using Continuous Power Flow and Time Domain Analysis can provide a more comprehensive overview of a power system stability level.  The highest decrease in voltage with a value of 1.5% appears in Bus 5 which is also suffering the lowest stability level. The system has a load margin (λ) value of 1.6130 a clearing time of under 0.4 seconds
Artificial Intelligence Vs My Future Job: Perceptions of Asian Undergraduates Ogbolu, Anthony Nnamdi; Sukidjo, Sukidjo
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1639

Abstract

Artificial Intelligence (AI) could have far reaching impact on economies and societies across the globe. The current avalanche of technological changes across the workplace demonstrated by AI has rekindled widespread fear of job losses and increase in inequality. This study sets out to analyze the perceptions of Asian undergraduates towards the increasing development of AI technologies in the workplace and assess how confident and adaptable they are in relation to challenges of AI as a viable future job competitor in the labour market. A survey instrument was administered randomly to 84 respondents from Yogyakarta State University and descriptive statistics was used in analyzing the data. The findings from the study revealed that more than 70 percent of respondents possess satisfactory levels of self-confidence and adaptability skills to take on the disruptive forces of AI technologies in the future but exhibits mixed feeling as regard to their perception of AI technologies in the workplace as the margin of difference among the three response options provided (Scared, Confident or Indifferent) were so small and below 50% for each option.  This study bridges the gap in the literature relating to undergraduate’s perception of AI in the workplace especially in Asia while also providing useful insights and recommendations to ensuring that all relevant stakeholders especially undergraduates maximizes the opportunities brought about by AI while reducing or totally eradicating the threats on their path.
Distance-based Indoor Localization using Empirical Path Loss Model and RSSI in Wireless Sensor Networks Suroso, Dwi Joko; Arifin, Muhammad; Cherntanomwong, Panarat
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1638

Abstract

Wireless sensor networks (WSNs) have a vital role in indoor localization development. As today, there are more demands in location-based service (LBS), mainly indoor environments, which put the researches on indoor localization massive attention. As the global-positioning-system (GPS) is unreliable indoor, some methods in WSNs-based indoor localization have been developed. Path loss model-based can be useful for providing the power-distance relationship the distance-based indoor localization. Received signal strength indicator (RSSI) has been commonly utilized and proven to be a reliable yet straightforward metric in the distance-based method. We face issues related to the complexity of indoor localization to be deployed in a real situation. Hence, it motivates us to propose a simple yet having acceptable accuracy results. In this research, we applied the standard distance-based methods, which are is trilateration and min-max or bounding box algorithm. We used the RSSI values as the localization parameter from the ZigBee standard. We utilized the general path loss model to estimate the traveling distance between the transmitter (TX) and receiver (RX) based on the RSSI values. We conducted measurements in a simple indoor lobby environment to validate the performance of our proposed localization system. The results show that the min-max algorithm performs better accuracy compared to the trilateration, which yields an error distance of up to 3m.  By these results, we conclude that the distance-based method using ZigBee standard working on 2.4 GHz center frequency can be reliable in the range of 1-3m. This small range is affected by the existence of interference objects (IOs) lead to signal multipath, causing the unreliability of RSSI values. These results can be the first step for building the indoor localization system, which low-cost, low-complexity, and can be applied in many fields, especially indoor robots and small devices in internet-of-things (IoT) world’s today.
Arduino-based Mini Shaker for Automatic Chemical Solution Mixer Hudha Wijaya, Nur; Friska Novela, Dian; Shahu, Nishith; Usman Sattar, Mian
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1641

Abstract

The purpose of the research was to make an Arduino-based mini shaker for automatic mixing of chemical solutions. The use of the tool was expected to save time and energy in the process of mixing chemical solutions, facilitate laboratory workers in mixing the chemical solutions quickly and efficiently, and for a safety reason in the laboratory. The design of this tool consists of a time sensor, speed sensor, microcontroller, motor driver and Dc motor. This tool can regulate the speed of a DC motor with three speeds namely 100 RPM low, 150 normal RPM, and 180 high RPM. Based on the results of motor speed measurements, the average error at the motor speed is low 1.4%, normal 2.5%, and high 2.54%, and the average error at the timer is 1 minute 0.03%, 2 minutes 0,1%, 3 minutes 0.05%, 4 minutes 0.016%, and 5 minutes 0.03%.
Forecasting of The Number of Schizophrenia Disorder by using The Box-Jenkins of Time Series Analysis Syifa Putri Humaira; Indah Nursuprianah; Darwan Darwan
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1640

Abstract

Schizophrenia is a mental disorder with a complex brain disorder that causes sufferers not to be able to distinguish between reality and imagination. This study aims to determine the parameters for the best model Box-Jenkins time series analysis in predicting the number of schizophrenic in Cirebon City in 2018 as seen from the smallest MSE (Mean Square Error) value. This study uses Box Jenkins method (often referred to as the ARIMA Method) with documentation collection techniques and literature studies. The documentation aims to collect data on the number of schizophrenic patients in January 2014 to December 2018. Data were analyzed in several stages, namely the stage of data stationary identification, determining model parameter estimates, model verification and forecasting. The results of this study show that the best model for predicting the number of schizophrenic patients in the future is ARIMA (0,1,1). The forecasting results of the number of schizophrenic patients in Cirebon City from January to December 2018 respectively are 69 people, 68 people, 68 people, 68 people, 68 people, 68 people, 67 people, 67 people, 67 people, 67 people, 67 people, 67 people.
Artificial Intelligence Vs My Future Job: Perceptions of Asian Undergraduates Anthony Nnamdi Ogbolu; Sukidjo Sukidjo
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1639

Abstract

Artificial Intelligence (AI) could have far reaching impact on economies and societies across the globe. The current avalanche of technological changes across the workplace demonstrated by AI has rekindled widespread fear of job losses and increase in inequality. This study sets out to analyze the perceptions of Asian undergraduates towards the increasing development of AI technologies in the workplace and assess how confident and adaptable they are in relation to challenges of AI as a viable future job competitor in the labour market. A survey instrument was administered randomly to 84 respondents from Yogyakarta State University and descriptive statistics was used in analyzing the data. The findings from the study revealed that more than 70 percent of respondents possess satisfactory levels of self-confidence and adaptability skills to take on the disruptive forces of AI technologies in the future but exhibits mixed feeling as regard to their perception of AI technologies in the workplace as the margin of difference among the three response options provided (Scared, Confident or Indifferent) were so small and below 50% for each option.  This study bridges the gap in the literature relating to undergraduate’s perception of AI in the workplace especially in Asia while also providing useful insights and recommendations to ensuring that all relevant stakeholders especially undergraduates maximizes the opportunities brought about by AI while reducing or totally eradicating the threats on their path.
Distance-based Indoor Localization using Empirical Path Loss Model and RSSI in Wireless Sensor Networks Dwi Joko Suroso; Muhammad Arifin; Panarat Cherntanomwong
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1638

Abstract

Wireless sensor networks (WSNs) have a vital role in indoor localization development. As today, there are more demands in location-based service (LBS), mainly indoor environments, which put the researches on indoor localization massive attention. As the global-positioning-system (GPS) is unreliable indoor, some methods in WSNs-based indoor localization have been developed. Path loss model-based can be useful for providing the power-distance relationship the distance-based indoor localization. Received signal strength indicator (RSSI) has been commonly utilized and proven to be a reliable yet straightforward metric in the distance-based method. We face issues related to the complexity of indoor localization to be deployed in a real situation. Hence, it motivates us to propose a simple yet having acceptable accuracy results. In this research, we applied the standard distance-based methods, which are is trilateration and min-max or bounding box algorithm. We used the RSSI values as the localization parameter from the ZigBee standard. We utilized the general path loss model to estimate the traveling distance between the transmitter (TX) and receiver (RX) based on the RSSI values. We conducted measurements in a simple indoor lobby environment to validate the performance of our proposed localization system. The results show that the min-max algorithm performs better accuracy compared to the trilateration, which yields an error distance of up to 3m.  By these results, we conclude that the distance-based method using ZigBee standard working on 2.4 GHz center frequency can be reliable in the range of 1-3m. This small range is affected by the existence of interference objects (IOs) lead to signal multipath, causing the unreliability of RSSI values. These results can be the first step for building the indoor localization system, which low-cost, low-complexity, and can be applied in many fields, especially indoor robots and small devices in internet-of-things (IoT) world’s today.
Vehicle Security System using Short Message Service (SMS) as a Danger Warning in Motorcycle Vehicles Ritzkal, Ritzkal; Nuraeni Puji Astuti; Ritzkal Ritzkal; Ade Hendri Hendrawan; Bayu Adhi Prakosa
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1642

Abstract

Security system to alert and warn when a vehicle is stolen. This tppl aims to provide information to vehicle owners when a vehicle is in danger by sending coordinate points using SMS (Short Message Service) and can be displayed right with the Google Maps application to make it easy for vehicle owners to track or know the position of the vehicle. Vehicle safety system using SMS (Short message Service) and GPS (Global Positioning System) based on microcontroller and displayed with this smartphone utilizing technology that can make it easier for users to use, namely: (1) neo 6 GPS module, (2) the minimum microcontroller system circuit in Atmega Arduino uno module, (3) SIM GSM 800L module, (4) Smartphones, (5) as well as google maps applications and (6) SMS (short message service) which are already smartphones. Making software (software) this tool uses the C programming language and uses the MIT App Inventor Application.

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