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All Journal Jurnal Sumberdaya Hayati OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Jurnal Ilmiah Padma Sri Kreshna Jurnal Informatika Ekonomi Bisnis AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Menata International Journal of Advanced Science Computing and Engineering Jurnal Pengabdian Masyarakat dan Riset Pendidikan Dinamika Ekonomi: Jurnal Kajian Ekonomi dan Pembangunan Menulis: Jurnal Penelitian Nusantara Jurnal Dedikasi Abdi Masyarakat
Novi
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Veterinary Other

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Journal : International Journal of Advanced Science Computing and Engineering

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Home Switch Control using Electromyograph and AVR Microcontroller Markis, Lince; Wardana, P. Susetyo; Novi
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.169

Abstract

The increasingly rapid development of technology in the field of biomedical engineering, one of which is applying EMG (Electromyograph) signals to move mechanical devices.  Various studies have been carried out with various methods tested. The research entitled "Home Switch Control using Electromyograph and AVR Microcontroller" is directed at EMG signals in the arm muscles as input to actuate several switch devices which are usually used in homes or hospitals. The results of placing electrodes at 3 points, namely Bicep Brachii, Tricep Brachii, and Wrist Flexor, produce an EMG signal which has 2 different truth values during contraction after extraction using a moving average and thresholding algorithm, so that the final result produces an on-off control system for 1 switch.
Implementation of Convolutional Neural Network and Vincenty Formula on Face Attendance System Web-Based for Managing the Attendance Meidelfi, Dwiny; Hendrick; Yulherniwati; Novi; Zulfitri, Alvin Faiz
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.181

Abstract

The level of student attendance at tertiary institutions has a crucial role in determining the quality of education. The Information Technology Department at Padang State Polytechnic realizes the urgent need to increase the efficiency of managing student attendance, which currently still relies on a manual attendance system. As an innovative solution, this research proposes designing a face-based attendance system that utilizes facial recognition technology to verify student attendance automatically. One of the challenges in developing a face-based attendance system is the accuracy of calculating the distance between the student's location and the institutional location. To overcome this problem, the research used the Vincenty Formula method which was proven to have a high level of accuracy in calculating the distance between two points on the earth. The integration of this method is expected to increase the accuracy of calculating the distance between the student's location and the institution. Apart from that, this attendance system adopts the Convolutional Neural Network (CNN) algorithm, an algorithm specifically designed to process two-dimensional data. CNN is used to learn and detect features in images so that facial recognition can be done with a high level of accuracy. This approach is expected to improve system performance in recognizing and verifying student attendance.
Co-Authors A. Alyana A.Muh. Anugrah Adha, Hafid Dwi Aisyah Bahar Anabila, Fariha Salma Andi Kasmawati Arham Jaya Cici Paramida Harahap Dwiny Meidelfi Emmy Tirta Anggraini Frans Aditia Wiguna Fryonanda, Harfebi Hanim, Hafizah Hendrick Hildan Pribawa Saputra ici Paramida Harahap Januardi Rosyidi Lubis, Keisya Zahra Salsabila Lailatul Uyun Lince Markis Mardiah , Ainil Maryamah, Sakila Aina Mikasari, Dewi Aurora Muh. Ikbal Nissa, Wirda Nurkhalifa Nurul Aulia Ramadani Oktavia Pradikaningrum, Novi Prasetyo, Haditya Resti Rianita Tangguh Pangestu Tangguh Pangestu Harahap TATIK CHIKMAWATI Wardana, P. Susetyo Widianti , Nina Yanto Nius Gulo Yulherniwati Zen, Lova Endriani Zulfitri, Alvin Faiz