RANCANG BANGUN SMARTHOME MENGGUNAKAN HEADSET MINDWAVE PENDETEKSI SINYAL OTAK SECARA REAL TIME BERBASIS PYTHON DAN MIKROKONTROLER ARDUINO

Authors

  • Dyah Anggraeni Jurusan Fisika, Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung, Bolabot Techno Robotic Institute, CV. Sanjaya Star Group, Bandung,
  • Mada Sanjaya Jurusan Fisika, Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung, INDONESIA Bolabot Techno Robotic Institute, CV. Sanjaya Star Group, Bandung, INDONESIA.
  • Muhammad Yusuf S. N. Jurusan Fisika, Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung, Bolabot Techno Robotic Institute, CV. Sanjaya Star Group, Bandung,

Abstract

Electroencephalography (EEG) merupakan sistem yang dapat mendeteksi sinyal biologi dari aktivitas otak. Dalam studi ini, kami menggunakan headset Mindwave yang dapat digunakan untuk mendeteksi sinyal EEG. Dari hasil akuisisi data sinyal otak sampel diperoleh data sinyal untuk keadaan membuka dan menutupnya mata. Kemudian dibuat algoritma program menggunakan software Python untuk menampilkan dan mengolah sinyal otak yang teridentifikasi menjadi perintah untuk mengontrol lampu pada smarthome berbasis Arduino. Dari hasil studi, lampu pada smarthome akan bekerja nyala ataupun mati sesuai dengan aktivitas otak secara real time berdasarkan data analog (ADC) yang terukur. Semua proses komunikasi data dalam sistem ini menggunakan sistem serial yang dikirimkan menggunakan Bluetooth.

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Published

2016-10-11

Issue

Vol. 2 No. 2 (2015)

Section

Articles