| dc.contributor.advisor | ISWANTO, ISWANTO | |
| dc.contributor.advisor | PUTRA, KARISMA TRINANDA | |
| dc.contributor.author | ICHWAN, DAMAR NUR | |
| dc.date.accessioned | 2018-10-22T02:24:13Z | |
| dc.date.available | 2018-10-22T02:24:13Z | |
| dc.date.issued | 2018-05-07 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/22396 | |
| dc.description | This design is an innovation design teleoperated robot arm networked WiFi network into the Internet to overcome the limitations of space between the controller with the robot. In addition, the design is also used gestur human hand as a controller to give freedom to the operator in controlling the robot arm movement. Controlling part consists of a magnetometer and akseleromoter sensors, three buttons, the Arduino Pro Mini, and ESP01. Meanwhile, parts of the robot consists of a sensor LM35, ESP01, Arduino Pro Mini, Adafruit 16-Channel PWM Servo drivers, 8 MG90s, and 1 3003S Futaba. IoT platform used is io.adafruit.com. Controlling part consists of a magnetometer and akseleromoter sensors, three buttons, the Arduino Pro Mini, and ESP01. Meanwhile, parts of the robot consists of a sensor LM35, ESP01, Arduino Pro Mini, Adafruit 16-Channel PWM Servo drivers, 8 MG90s, and 1 3003S Futaba. IoT platform used is io.adafruit.com. From the test results in this design it can be concluded that the object transfer in experiment I can be completed with 9 messages for 28 seconds, in the second experiment can be completed with 24 messages for 59 seconds, and in experiment III can be completed with 18 messages for 47 seconds and the difference in the number of messages and duration between experiments influenced by several factors, including operator skills (human), the location of objects, and the quality of the internet used. | en_US |
| dc.description.abstract | This design is an innovation design teleoperated robot arm networked WiFi network into the Internet to overcome the limitations of space between the controller with the robot. In addition, the design is also used gestur human hand as a controller to give freedom to the operator in controlling the robot arm movement. Controlling part consists of a magnetometer and akseleromoter sensors, three buttons, the Arduino Pro Mini, and ESP01. Meanwhile, parts of the robot consists of a sensor LM35, ESP01, Arduino Pro Mini, Adafruit 16-Channel PWM Servo drivers, 8 MG90s, and 1 3003S Futaba. IoT platform used is io.adafruit.com. Controlling part consists of a magnetometer and akseleromoter sensors, three buttons, the Arduino Pro Mini, and ESP01. Meanwhile, parts of the robot consists of a sensor LM35, ESP01, Arduino Pro Mini, Adafruit 16-Channel PWM Servo drivers, 8 MG90s, and 1 3003S Futaba. IoT platform used is io.adafruit.com. From the test results in this design it can be concluded that the object transfer in experiment I can be completed with 9 messages for 28 seconds, in the second experiment can be completed with 24 messages for 59 seconds, and in experiment III can be completed with 18 messages for 47 seconds and the difference in the number of messages and duration between experiments influenced by several factors, including operator skills (human), the location of objects, and the quality of the internet used. | en_US |
| dc.publisher | FAKULTAS TEKNIK UNIVERSITAS MUHAMMADIYAH YOGYAKARTA | en_US |
| dc.subject | Industry 4.0, WiFi. robot arm, internet, hand gesture | en_US |
| dc.title | PERANCANGAN ROBOT LENGAN DENGAN PENGENDALI BERUPA GESTUR TANGAN MANUSIA MELALUI JARINGAN INTERNET | en_US |
| dc.type | Thesis
SKR
FT
187 | en_US |
