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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 18 Documents
 1   2 
Search results for , issue "Vol 2, No 1 (2021): January" : 18 Documents clear
Systematic Literature Review of Disruption Era in Indonesia: The Resistance of Industrial Revolution 4.0 Fadilurrahman, M.; Ramadhani, Ramadhani; Kurniawan, Tahta; Misnasanti, Misnasanti; Shaddiq, Syahrial
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The plethora of research in the multidisciplinary fields has been proved the disruption era. However, it might be several boundaries in the global context. Thus, this research attempts to identify dominant fields which consist of implementing the law, governance, management trajectory, and system of higher education in Indonesia. Furthermore, the qualitative method of the systematic literature review is used to examine the implication, and therefore this study produces four findings.  Firstly, the most prominent enabling contexts are to ensure the implementation of the law and the conceptualisation of policies. Secondly, adopting effective and efficient bureaucracy bases on electronic governance (e-governance). Thirdly, management trajectory has been aimed to fill the gaps in this context. Finally, this study also intends to unveil preliminary actions toward the higher education system by networking infrastructures. The outcomes might be considered as pathways for accelerating the progress related to authorities, companies, and institutions. By way of conclusion, in order to attain better provision, measuring the process of the Indonesia disruption realm is a critical phase to elucidate the current circumstance, elaborate the gaps, and foresee the priority actions concerning the disruption era in Indonesia.
Performance assessment of Deep Learning procedures on Malaria dataset Sinha, Shruti; Srivastava, Udit; Dhiman, Vikas; P.S., Akhilan; Mishra, Sashikala
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2145

Abstract

Malaria detection is a time-consuming procedure. Only blood sample investigation is the practice which provides the confirmation. Now numerous computational methods have been used to make it faster. The proposed model uses the conception of Convolutional Neural Network (CNN) to lessen the time complexity in identification of Malaria. The prototypical model uses different deep learning algorithms which   uses the same dataset to validate the stability. Model uses the two various components of CNN like Sequential and   ResNet.  ResNet uses more of number of hidden layers rather than sequential.  The ResNet model achieved 96.50% accuracy on the training data, 96.78% accuracy on the validation data and 97% accuracy on the testing data. Sequential model on the other hand achieved 98% accuracy on the training data, 96% accuracy on the validation data and 96% accuracy on the testing data. From the initial hypothesis, we get to know that there is no significant difference in the accuracy when we have too many layers.
Survey on IoT: Security Threats and Applications Ahmad, Irfan; Saber Niazy, Mohammad; Ahmad Ziar, Riaz; Khan, Sabawoon
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

the rapid growth of the internet of things (IoT) in the world in recent years is due to its wide range of usability, adaptability, and smartness. Most of the IoT applications are performing jobs an automatic manner without interactions of human or physical objects. It’s required that the current and upcoming devices will be smart, efficient and able to provide the services to the users to implement such a new technology with a secure manner. Thus the security issues are exploring day by day by the researchers. IoT devices are most portable and light in nature so it has several issues such as battery consumption, memory, and as these devices are working open range so the most important is security. In this survey paper, we have elaborated on the security attacks with reference to the different kinds of IoT layers. In the last, we have presented some of the applications of the IoT. This study will provide assistance to the researchers and manufacturers to evaluate and decrease the attacks range on IoT devices.
An Innovative Approach to a Hybrid Quadrotor Design AL-Qrimli, Haidar Fadhil; D’souza, Leroy; Hussein, Omar Dhari
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2146

Abstract

This article presents a hybrid design for a quadrotor aircraft. The hybrid is a combined system of a land robot and a quadrotor aircraft aimed at performing both driving and flying tasks. The hybrid quadrotor performs flying tasks in the usual way a normal quadrotor would do while the added caterpillar tracks would help maneuver over any type of terrain. The current prototype design was established after analyzing multiple designs and their response to various loads and impact forces. This study focuses on a practical approach to designing a hybrid quadrotor with experimental studies demonstrating the performance and feasibility on both flying and driving missions. The research outcomes were successful, and the new hybrid structure managed to survive a drop from a height greater than 2 meters. The hybrid quadrotor prototype was tested using finite element analysis and validated experimentally.
Arduino-based Disaster Management System Beltran Jr., Angelo; Dizon, Keith Joseph; Nones, Kristina; Salanguit, Reina Louise; Santos, Jay Bhie; Santos, Josemaria Rei
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2147

Abstract

The Philippines suffered from an inexhaustible number of deadly typhoons, earthquakes, volcano eruptions making it a country prone to natural disasters. Natural causes are inevitable but having a warning device to alert people and prepare them from what’s about to come is essential today. In this paper, the Arduino-based disaster management system is proposed. The device created is a disaster management device that consists of temperature, soil drift, accelerometer, tilt, and rain sensor. A hardware prototype model was developed. It is operated through microcontroller Arduino and implemented using the C language. The effectiveness of the proposed method is verified by experimental studies. If a sensor is activated, it will send data to the selected receiver, which is a mobile phone. Acquired data were provided in this article. Results reveal the effectiveness and efficacy of the proposed system. An expressive future directive has been incorporated at the end of this paper.
A Wirelessly Controlled Robot-based Smart Irrigation System by Exploiting Arduino Hassan, Ahmed; Abdullah, Hafiz Muhammad; Farooq, Umar; Shahzad, Adil; Asif, Rao Muhammad; Haider, Faisal; Rehman, Ateeq Ur
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2148

Abstract

In recent years, because of the limitations of fossil fuels and emissions resulting from the use of photovoltaic cells increase. Due to the changing state of the sun, solar cells must follow the sun's radiation to receive more energy. But, in this research, the modeling and analysis of the solar tracking system were carried out to obtain the optimal angle in photovoltaic systems for generating maximum power using genetic algorithm (GA). In this paper, the control system is proposed by the GA genetic algorithm that optimizes the output energy of the PV system by adjusting the spatial angles of the solar panel in both vertical and horizontal axes. In this method, without the need for additional hardware, the optimal panel position angles are calculated by using the Matlab software to capture the most sun and maximize output energy. The main advantage is that the system operates discretely during operation and losses are reduced, as well as in the clouds, solar radiation is received and the output energy rises. The important results of this study can be the system is optimized, the output power of the photovoltaic system in a fixed array mode increases by 15.85%.
Design and Implementation of a Mobile Robot for Carbon Monoxide Monitoring Rahmaniar, Wahyu; Wicaksono, Ardhi
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2143

Abstract

The gas detection problem is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. The mobile robot used for gas detection has several advantages and can reduce danger for humans. In this study, we proposed an integration system for a mobile robot that can be used for carbon monoxide (CO) monitoring with different operating temperatures. The design and implementation of a mobile robot system that proposed consists of the onboard and ground stations. The proposed system can read CO gas concentration and temperature then send it wirelessly using an XBee module to the ground station. This system was also able to receive the command from the ground station to move the robot. The system provided real-time acquisition data that believed can be a useful tool for monitoring and can be applied for various purposes. The experimental results show that a combination of a mobile robot and environmental sensors can be used for environmental monitoring.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Systematic Literature Review of Disruption Era in Indonesia: The Resistance of Industrial Revolution 4.0 M. Fadilurrahman; Ramadhani Ramadhani; Tahta Kurniawan; Misnasanti Misnasanti; Syahrial Shaddiq
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2152

Abstract

The plethora of research in the multidisciplinary fields has been proved the disruption era. However, it might be several boundaries in the global context. Thus, this research attempts to identify dominant fields which consist of implementing the law, governance, management trajectory, and system of higher education in Indonesia. Furthermore, the qualitative method of the systematic literature review is used to examine the implication, and therefore this study produces four findings.  Firstly, the most prominent enabling contexts are to ensure the implementation of the law and the conceptualisation of policies. Secondly, adopting effective and efficient bureaucracy bases on electronic governance (e-governance). Thirdly, management trajectory has been aimed to fill the gaps in this context. Finally, this study also intends to unveil preliminary actions toward the higher education system by networking infrastructures. The outcomes might be considered as pathways for accelerating the progress related to authorities, companies, and institutions. By way of conclusion, in order to attain better provision, measuring the process of the Indonesia disruption realm is a critical phase to elucidate the current circumstance, elaborate the gaps, and foresee the priority actions concerning the disruption era in Indonesia.
Performance assessment of Deep Learning procedures on Malaria dataset Shruti Sinha; Udit Srivastava; Vikas Dhiman; Akhilan P.S.; Sashikala Mishra
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2145

Abstract

Malaria detection is a time-consuming procedure. Only blood sample investigation is the practice which provides the confirmation. Now numerous computational methods have been used to make it faster. The proposed model uses the conception of Convolutional Neural Network (CNN) to lessen the time complexity in identification of Malaria. The prototypical model uses different deep learning algorithms which   uses the same dataset to validate the stability. Model uses the two various components of CNN like Sequential and   ResNet.  ResNet uses more of number of hidden layers rather than sequential.  The ResNet model achieved 96.50% accuracy on the training data, 96.78% accuracy on the validation data and 97% accuracy on the testing data. Sequential model on the other hand achieved 98% accuracy on the training data, 96% accuracy on the validation data and 96% accuracy on the testing data. From the initial hypothesis, we get to know that there is no significant difference in the accuracy when we have too many layers.

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