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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Simetris e-Jurnal Arus Elektro Indonesia ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Health Notions Jurnal Penelitian Pendidikan IPA (JPPIPA) JTERA (Jurnal Teknologi Rekayasa) SENTIA 2015 Jurnal Telematika J-Innovation CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Rekayasa elektrika
Wahyu Muldayani
Faculty Of Engineering, Universitas Jember
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Rekayasa elektrika

 1 
Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan Ali Rizal Chaidir; Wahyu Muldayani; Guido Dias Kalandro
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1018.771 KB) | DOI: 10.17529/jre.v14i3.11831

Abstract

The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.
Perintah Kontrol Gerak Kursi Roda Elektrik Menggunakan Sensor Elektromiograf Arizal Mujibtamala Nanda Imron; Wahyu Muldayani; Sumardi Sumardi
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.165 KB) | DOI: 10.17529/jre.v15i1.12744

Abstract

Paralysis is a disease that can limit the mobility of the sufferer. One solution that can help people with paralysis in carrying out their mobility is the use of an electric wheelchair. In this study, an electric wheelchair with specifications where the wheelchair motion control uses muscles on both arms, so that the electric wheelchair is very suitable for patients with paralysis in the legs and weak hand strength in turning the wheels from the wheelchair. The input of motion control commands is carried out through an electromyograph sensor mounted on the flexor muscle in both patients’ arms. The output of each sensor is given a threshold of 2 volts to distinguish control commands or not. When the sensor output is more than the same as the threshold, it is considered logic one and the other is considered logic zero. The method is used to interpret the output as a control command by impulse detection. The electric wheelchair movement that can be done is forward, turn right, and turn left.
Perintah Kontrol Gerak Kursi Roda Elektrik Menggunakan Sensor Elektromiograf Arizal Mujibtamala Nanda Imron; Wahyu Muldayani; Sumardi Sumardi
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v15i1.12744

Abstract

Paralysis is a disease that can limit the mobility of the sufferer. One solution that can help people with paralysis in carrying out their mobility is the use of an electric wheelchair. In this study, an electric wheelchair with specifications where the wheelchair motion control uses muscles on both arms, so that the electric wheelchair is very suitable for patients with paralysis in the legs and weak hand strength in turning the wheels from the wheelchair. The input of motion control commands is carried out through an electromyograph sensor mounted on the flexor muscle in both patients’ arms. The output of each sensor is given a threshold of 2 volts to distinguish control commands or not. When the sensor output is more than the same as the threshold, it is considered logic one and the other is considered logic zero. The method is used to interpret the output as a control command by impulse detection. The electric wheelchair movement that can be done is forward, turn right, and turn left.
Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan Ali Rizal Chaidir; Wahyu Muldayani; Guido Dias Kalandro
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i3.11831

Abstract

The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.
Co-Authors Aditya Kurniawan Afif Hamdalah Ahmad Fauzil Akbar Ali Rizal Chaidir Anam, M. Khairul Andrita Ceriana Eska Ariza Budi Tanjung Sari Arizal Mujibtamala Nanda Imron Aziz, Ayu Munawaroh Brianda Rusoneri, Gensen Cahyono, Yusuf Fani Dwi Catur Suko Sarwono Daru Quthni Firdaus Dedy Wahyu Herdiyanto Dermawan, Rio Dhamas Agung Pribadi Dina Helianti Djoko Purwanto Dodi Setiabudi Farida Wahyu Ningtyias, Farida Wahyu Fitri, Zilvanhisna Emka GAMMA ADITYA RAHARDI Ghozali, Moch Guido Dias Kalandro H.R.B. Moch. Gozali Hasanur Mohammad Firdausi Hidayatullah, Angga Syarif Ike Fibriani Iken Nafikadini Immawan Wicaksono Inta Nurkhaliza Agiska Moch Ghozali, H.R.B. Muh Asnoer Laagu Muhammad Farhan Prihatin, Winaning Nur Rista Setiani Samsul Bachri Satryo Budi Utomo Singgih Bektiarso Sri Kaloko, Bambang Sudarti Sudarti Sudarti Sudarti Sudarti Sudarti Sumardi Sumardi . Sumardi Sumardi Sumardi Sumardi Syamsul Arifin Tania Ardiani Tri Arief Sardjono Utoyo, Ega Bonansyah Vivi, Vivi Nur’anini Sutimi Widjonarko Widjonarko . Widya Cahyadi Widyono Hadi Wijaya, Mochamad Diki Ari Yuli Hariyati