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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Darmabakti Cendekia: Journal of Community Service and Engagements Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Layanan Masyarakat (Journal of Public Service) Journal Of Sustainability Perspectives Journal of Advanced Technology and Multidiscipline (JATM) Journal of Sustainability Perspectives Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal INFOTEL Control Systems and Optimization Letters
Prisma Megantoro
Universitas Airlangga
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : Journal of Robotics and Control (JRC)

 1 
Implementation of a Camera Sensor Pixy 2 CMUcam5 to A Two Wheeled Robot to Follow Colored Object Perkasa, Sigit Dani; Megantoro, Prisma; Winarno, Hendra Ari
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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

Abstract

This article discusses the design of a colored object follower robot. The colored object used has a simple shape. For the detection process, a wheeled robot that uses sensors based on digital images of Pixy 2. Pixy2 can learn to detect objects that you teach it, just by pressing a button.  Additionally, Pixy2 has new algorithms that detect and track lines for use with line-following robots. Pixy2 camera is able to recognize and track all objects whose color has been memorized. In maneuvering, this robot has 2 wheels on the right and left. Movement control is carried out by the Arduino Uno microcontroller board. This robot moves according to the direction of movement of the object. The conclusion obtained in this research is that this wheeled robot can be examined from the left, front and right side objects properly, then it follows the direction of the detected object.
Validation Method for Digital Flow Meter for Fuel Vendors Megantoro, Prisma; Husnan, Danar Aulia; Sattar, Mian Usman; Maseleno, Andino; Tanane, Omar
Journal of Robotics and Control (JRC) Vol 1, No 2 (2020): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1210

Abstract

Research on the design of fuel measuring device for vendors using Arduino Mega 2560 microcontroller and positive displacement flow meter sensor was conducted. It aimed to design and create a prototype of fuel measuring device for retail traders, and to find error values on the device. The research began with searching for reference books, making hardware and programming, and finally testing the device. The components used were Arduino Mega 2560, positive displacement flow meter sensor, keypad, selenoid valve and 4x20 LCD. The test was performed by comparing the results of the measuring cup to the number displayed on the LCD, followed by reproducibility. Data collection was carried out every volume of 500ml, 1000ml, 1500ml, and 2000ml. The results of the research showed that the error value was 2.24% with the comparison of 1.91%. Several factors affecting the highness of error value were human factor, sensor and device factor, as well as the comparison device being used. Referring to the error value that smaller than 5%, this device is worthy for mass production
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1101

Abstract

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.
The Design and Analysis of DC Electrical Voltage-Current Datalogger Device Implemented on Wind Turbine Control System Murti, Sri; Megantoro, Prisma; Silva, Gabriel De Brito; Maseleno, Andino
Journal of Robotics and Control (JRC) Vol 1, No 3 (2020): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1317

Abstract

DC electrical voltage - current measuring instrument and data logger is an instrument used to measure the current and voltage generated wind turbine and recording the measurement results. The fuction of this instrument is to activate the dummy load on the wind turbine control system to reduce the voltage that exceeds the safe limit when saving electrical energy. The purpose of this research is to manufacture and analyze DC electrical voltage - current measuring instrument with arduino uno based data logger which is capable to measure DC current and voltage generated by Hybrid Power Plants (PLTH) in Pantai Baru Pandansimo Bantul Yogyakarta, and using metrology method to analyze the degree of uncertainty of the measuring instrument. In this research, heuristic method is used to determine the characteristics of the sensor. Sensor characterization has been done, followed by calibration of measurement instrument to determine the magnitude of the uncertainty of the measurement instrument. The results of this research indicated that the characteristics of voltage sensor (CR5310-300) obtained equation of linear regression y=0.29253x + 0.662, while the current sensor characteristics (WCS1800) obtained equation of linear regression y=0.072978x - 37.2408. After the characterization procedure is done, the measuring instrument callibrated using a traced clampmeter. The calibration results indicated that the voltage sensor has accuracy of 99.99%. Whereas for the current measuring instrument has an uncertainty that is extended at standard current 0 -  9 amperes of 0.316 amperes and at the standard current of 9.7 amperes of 0.317 amperes with an accuracy of 99.98%. Based on the results of this research, can be obtained that current and voltage measuring instrument has good accuracy level.
Design of Laboratory Scale Fluid Level Measurement Device Based on Arduino Apsari, Nur Fitri; Megantoro, Prisma; Sattar, Mian Usman; Maseleno, Andino; Tanane, Omar
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1530

Abstract

Measuring the height of a liquid using analog is very difficult, and its accuracy is very low. It is more accurate to measure liquid level using digital technology. Measurements of the correct fuel level are needed to measure fuel purchases at fuel stations or fuel retailers. The study aimed to design laboratory-level fuel level measurements based on the Arduino Uno microcontroller. The method used was a direct comparison between the measuring instrument and a ruler as a measuring standard. This device used a gas gauging sensor on the vehicle and an Arduino Uno microcontroller to process data and display data on the LCD and LabView. The results of the fluid level measurement could be used to determine the height of fuel surface. The error rate of the measuring instrument was ± 3% in a calm and bumpy state. The results showed that the device is suitable for use in measurement.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1101

Abstract

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.
The Design and Analysis of DC Electrical Voltage-Current Datalogger Device Implemented on Wind Turbine Control System Sri Murti; Prisma Megantoro; Gabriel De Brito Silva; Andino Maseleno
Journal of Robotics and Control (JRC) Vol 1, No 3 (2020): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1317

Abstract

DC electrical voltage - current measuring instrument and data logger is an instrument used to measure the current and voltage generated wind turbine and recording the measurement results. The fuction of this instrument is to activate the dummy load on the wind turbine control system to reduce the voltage that exceeds the safe limit when saving electrical energy. The purpose of this research is to manufacture and analyze DC electrical voltage - current measuring instrument with arduino uno based data logger which is capable to measure DC current and voltage generated by Hybrid Power Plants (PLTH) in Pantai Baru Pandansimo Bantul Yogyakarta, and using metrology method to analyze the degree of uncertainty of the measuring instrument. In this research, heuristic method is used to determine the characteristics of the sensor. Sensor characterization has been done, followed by calibration of measurement instrument to determine the magnitude of the uncertainty of the measurement instrument. The results of this research indicated that the characteristics of voltage sensor (CR5310-300) obtained equation of linear regression y=0.29253x + 0.662, while the current sensor characteristics (WCS1800) obtained equation of linear regression y=0.072978x - 37.2408. After the characterization procedure is done, the measuring instrument callibrated using a traced clampmeter. The calibration results indicated that the voltage sensor has accuracy of 99.99%. Whereas for the current measuring instrument has an uncertainty that is extended at standard current 0 -  9 amperes of 0.316 amperes and at the standard current of 9.7 amperes of 0.317 amperes with an accuracy of 99.98%. Based on the results of this research, can be obtained that current and voltage measuring instrument has good accuracy level.
The Analysis of Comparison Electrical Power Measurement on LED Lamps Prisma Megantoro; Geston Bakti Muntoha; Kunal Kunal; Phong Thanlr Nguyen; Elsaved Helmy
Journal of Robotics and Control (JRC) Vol 1, No 4 (2020): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1425

Abstract

 Abstract— This study uses 2 variations of the value of the DC 12V LED lamp power that is 12W and 15W with 3 different brands of lamp variations. Measurement of input voltage and current is carried out using a Krisbow KW06-490 DC clampmeter that has been calibrated as a standard measuring instrument and a Krisbow KW06-491 DC clampmeter that has not been calibrated as a test gauge 1 and a Multimeter Viper DT830B that has not been calibrated as a test gauge 2. Data the current and input voltage between each lamp and different lamp brands are used to calculate the value of the test lamp power and then compare it.The big conclusion from this study was found that the error value between the value of the test power or the use of DC 12V LED lamps with 12W written power on R, S, and T brand lamps was ± 51.67%, ± 70.75%, ± 61.33 %. In 15W lamps the brands R, S, and T were ± 7.20%, ± 0.53%, ± 8.27%.
Implementation of a Camera Sensor Pixy 2 CMUcam5 to A Two Wheeled Robot to Follow Colored Object Sigit Dani Perkasa; Prisma Megantoro; Hendra Ari Winarno
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.26128

Abstract

This article discusses the design of a colored object follower robot. The colored object used has a simple shape. For the detection process, a wheeled robot that uses sensors based on digital images of Pixy 2. Pixy2 can learn to detect objects that you teach it, just by pressing a button.  Additionally, Pixy2 has new algorithms that detect and track lines for use with line-following robots. Pixy2 camera is able to recognize and track all objects whose color has been memorized. In maneuvering, this robot has 2 wheels on the right and left. Movement control is carried out by the Arduino Uno microcontroller board. This robot moves according to the direction of movement of the object. The conclusion obtained in this research is that this wheeled robot can be examined from the left, front and right side objects properly, then it follows the direction of the detected object.
Validation Method for Digital Flow Meter for Fuel Vendors Prisma Megantoro; Danar Aulia Husnan; Mian Usman Sattar; Andino Maseleno; Omar Tanane
Journal of Robotics and Control (JRC) Vol 1, No 2 (2020): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1210

Abstract

Research on the design of fuel measuring device for vendors using Arduino Mega 2560 microcontroller and positive displacement flow meter sensor was conducted. It aimed to design and create a prototype of fuel measuring device for retail traders, and to find error values on the device. The research began with searching for reference books, making hardware and programming, and finally testing the device. The components used were Arduino Mega 2560, positive displacement flow meter sensor, keypad, selenoid valve and 4x20 LCD. The test was performed by comparing the results of the measuring cup to the number displayed on the LCD, followed by reproducibility. Data collection was carried out every volume of 500ml, 1000ml, 1500ml, and 2000ml. The results of the research showed that the error value was 2.24% with the comparison of 1.91%. Several factors affecting the highness of error value were human factor, sensor and device factor, as well as the comparison device being used. Referring to the error value that smaller than 5%, this device is worthy for mass production
Co-Authors Abdilah, Waldi Abdillah, Muhammad Hudzaifah Abdillah, Sulthon Yusuf Abdillah, Waldi Abdufattah Yurianta Abdul Abror Abdul Latif Abror, Abdul Afif, Yusrizal Agus Mukhlisin Ahmad Rahmad Muzadi Ahmad Rahmad Muzadi Ahmad Rahmat Muzadi Aldhama, Shofa Aulia Alfian Ma’arif Ama, Fadli Ananta Sari, Feby Andino Maseleno Andrei Widjanarko Antik Widi Anugrah Anugrah, Antik Widi Apsari, Nur Fitri Arfianto, Afif Zuhri Arifin, Mohammad Aldrin Arsalan, Muhammad Rafi Nabil Arya Dwi Kustiawan Athari, Muhammad Hafizh Awalin, Lilik Jamilatul Awan Uji Krismanto Bandiyah Sri Aprillia Bilah Kebenaran Brahmantya Aji Pramudita Danar Aulia Husnan Diaz Samsun Alif Dimas Dzaky Rafii Muhammad Dimas Febriyan Priambodo Dona Saya, Joy Sefine Dwi Cahyono, Heru Effendi, Yutika Amelia Elsaved Helmy Estiko Rijanto Fadhilah, Marwan Farabi, Haikal Fatmawati Fatmawati Firdaus Bima Firmansyah Firdaus Bima Firmansyah Firdauz, Grace Constella Anastasya Gabriel De Brito Silva Galih Bangga Geston Bakti Muntoha Gunawan Setia Prihandana Hafidz Faqih Aldi Kusuma Hafizh Alauddin Atallah Hendra Ari Winarno Herlambang Setiadi Herlambang Setiadi Herri Trilaksana Heru Dwi Cahyono Heru Dwi Cahyono Hidayah, Nayu Nurrohma Hidayat, Niko Azhari Husnan, Danar Aulia I Nyoman Sutantra Ihsan Nurkhotib Indra Sidharta Irfan Helmi Sukmawan Irfan Helmi Sukmawan Irsyad Hilmi Ismayahya Ridhan Mutiarso Ismayahya Ridhan Mutiarso Iswanto Iswanto Iswanto Iswanto Jasmine, Senit Araminta Jati Galih Satrio Khadijah, Alyssa Rania Kunal Kunal Kunal, Kunal Kustanto, Bambang Joko Kustiawan, Arya Dwi Marwan Fadhilah Mian Usman Sattar Mohammad Ghani Mohammed Mareai Muda, Kemal Iskandar Muhammad Abdillah Muhammad Akbar Syahbani Muhammad Akbar Syahbani Muhammad Hudzaifah Abdillah Muhammad Rafi Nabil Arsalan Muhammad Rafi Nabil Arsalan Muhammad Syahril Mubarok Mujtahida, Fikarul Murti, Sri Muzadi, Ahmad Rahmad Nara Atthama Nayu Nurrohma Hidayah Nayu Nurrohma Hidayah Na’imah, Syahidatun Nia Maharani Raharja Nugraha, Yoga Uta Nurarsyah, Achmad Baihaqi NUrina Fitriani, NUrina Nurrohma Hidayah, Nayu Omar Tanane P. Vigneshwaran Pandi Vigneshwaran Pandi Vigneshwaran Pandi, Vighneshwaran Perkasa, Sigit Dani Phong Thanlr Nguyen Pinto Anugrah Porman Pangaribuan Pujiyanto Pujiyanto Pujiyanto Raharja, Nia Maharani Rahmania Putri Ramadhani Rania Khadijah, Alyssa Retna Apsari Rezi Delfianti Rizki Putra Prastio Rizky N. Rachman Robbi Rahim Samian Sari, Feby Ananta Sattar, Mian Usman Saud Al-Humairi, Safaa Najah Sigit Dani Perkasa Sigit Dani Perkasa Sigit Dani Perkasa Silva, Gabriel De Brito Sinta Adisti Reina Sofiah, Amila Sri Endah Nurhidayati Sri Murti Supadi Supadi Syahbani, Muhammad Akbar Syahril Mubarok, Muhammad Syamsul Arifin Syamsul Arifin Tahta Amrillah Tanane, Omar Uta Nugraha, Yoga Vigneshwaran, Pandi Widjanarko, Andrei Winarno, Hendra Ari Yoga Uta Nugraha Yoga Uta Nugraha