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Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.

Sistem Otomatisasi Pembersihan Kotoran dan Pengaturan Suhu Kandang Kelinci Berbasis Arduino Mega2560 Eko Didik Widianto; Mahfudhotul Khasanah; Agung Budi Prasetijo; Risma Septiana
Jurnal Rekayasa Elektrika Vol 13, No 3 (2017)
Publisher : Universitas Syiah Kuala

The environmental factor of the cage affects the rabbit breeding. The more rabbits, the more efficient cage cleaning needs to be done. This research resulted in an automation system prototype of dirt cleaning and temperature control of rabbit cage using Arduino Mega 2560 board. The system was capable of monitoring and controlling the cage temperature of 26-36 ° C using DHT11 temperature sensor, heating, and cooling actuators. The system performed the cage manure cleaning by controlling the motion of the servo motor after processing the input from the load cell weight sensor with the capability of 5 kg. Dirt cleaning is done if the weight of the dirt is above 1000 gram. This research also applied linearization to produce temperature and weight conversion equations which yielded more accurate reading values. The temperature readings had an accuracy of ± 1 ° C, while the load cell weight reading had an accuracy of 0.05% or 2 grams.

Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i1.9801

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.

Sistem Otomatisasi Pembersihan Kotoran dan Pengaturan Suhu Kandang Kelinci Berbasis Arduino Mega2560 Eko Didik Widianto; Mahfudhotul Khasanah; Agung Budi Prasetijo; Risma Septiana
Jurnal Rekayasa Elektrika Vol 13, No 3 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i3.8422

The environmental factor of the cage affects the rabbit breeding. The more rabbits, the more efficient cage cleaning needs to be done. This research resulted in an automation system prototype of dirt cleaning and temperature control of rabbit cage using Arduino Mega 2560 board. The system was capable of monitoring and controlling the cage temperature of 26-36 ° C using DHT11 temperature sensor, heating, and cooling actuators. The system performed the cage manure cleaning by controlling the motion of the servo motor after processing the input from the load cell weight sensor with the capability of 5 kg. Dirt cleaning is done if the weight of the dirt is above 1000 gram. This research also applied linearization to produce temperature and weight conversion equations which yielded more accurate reading values. The temperature readings had an accuracy of ± 1 ° C, while the load cell weight reading had an accuracy of 0.05% or 2 grams.

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