Engineering-Institut Teknologi Sepuluh Nopember (DCE-ITS), and has been approved by IEEE for technical co-sponsorship. This conference is an excellent event where researchers and engineers from academia and industry, majority locally from Indonesia as well as from abroad, to meet and share their recent findings for the advancement of the field in Computer Engineering and its application. The Regional Conference Program (RC) is a platform to share the most updated technology and research in regional common issues. It aims at maximizing the outreach of the AUN/SEED-Net for stronger impacts by involving external participants such as representatives from the government, industry, community, non-Member Institutions (MIs), and other professional organizations.
ABSTRAKS -Nelayan tradisional memanfaatkan angin darat untuk berlayar pada malam hari, angin darat adalah angin yang berhembus dari daratan ke laut. Pada pagi hari nelayan kembali kedaratan dengan memanfaatkan angin laut. Angin laut adalah angin yang berhembus dari laut ke daratan. Untuk membantu navigasi melaut nelayan tradisional, dibutuhkan sistem pendukung yang dapat mengukur kecepatan angin, arah angin, arah kapal, dan bisa bekerja pada malam hari tanpa sumber listrik dari generator. Alat ini mengukur dengan batas terendah kecepatan angin yang dapat diukur adalah 0,01m/s, dan rata-rata kesalahan pengukuran kecepatan angin 0,001 m/s, sensor pembaca arah angin dapat mengukur dari mana datangnya angin dan arah kapal menuju, serta sistem pembangkit tegangan 12-13,4 Volt DC untuk menyuplai Arduino Uno dan sensor-sensor yang digunakan.
A person with a certain degree of biceps brachii muscle weakness will not able to move the lower hand. The muscle needs contraction and relaxation practice regularly to avoid the condition getting worse. An electromyography-based assistive device has been developed. It uses biopotential signals from biceps brachii muscle when contracted and relaxed to control the elbow flexion and extension movement of the weak hand. The device uses a Muscle Sensor V3 module to sense the muscle biopotential signals, and also an Arduino Nano 3.0 microcontroller module and a servo motor to control the elbow movement. The elbow movement is limited to 90° to its maximum degree of movement at 170°. It is the range of elbow movement that used in a method to work out the biceps brachii muscle. The starting process needs to adjust elbow position manually using potentiometer to 90° angles. This device can work properly when stimulated by the biceps brachii muscle biopotential signals and produce as low as 0,0977V at the input of the internal ADC of Arduino Uno 3.0 when the muscle contracted and lower than that voltage when it relaxed. The device consumes low power to operate at 0.374watts.
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