Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Proceeding of the Electrical Engineering Computer Science and Informatics JOURNAL OF APPLIED INFORMATICS AND COMPUTING CARADDE: Jurnal Pengabdian Kepada Masyarakat
Heny Yuniarti
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Education Electrical & Electronics Engineering Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Implementation of Myo Armband on Mobile Application for Post-stroke Patient Hand Rehabilitation Tri Bintang Dewantoro; Riyanto Sigit; Heny Yuniarti; Yudith Dian Prawitri; Fridastya Andini Pamudyaningrum; Mahaputra Ilham Awal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.059 KB) | DOI: 10.11591/eecsi.v5.1585

Abstract

Medical rehabilitation is one of the efforts to restore motor function of post-stroke patients, but the biggest factor that makes patients quickly restore motor function by active patient movement exercises. The movement in question is the movement carried out every day outside medical rehabilitation at the hospital. On the other hand, patients are reluctant to do therapy independently outside the hospital, because there is no tool that supports patients to do so. So, we need a device that helps patients to do therapy independently. The device is connected to Myo Armband to read the gestures of the patient by looking at the EMG signal from the patient's hand. Then the system performs matching gestures during therapy with EMG signal data that has been trained. The motion matching is done by calculating the Euclidean distance between the two EMG signal data obtained from the Myo Armband device. From the results of the tests carried out, the accuracy of movement matching results obtained an average accuracy of 89.67 percent for flexion-extension gestures and 82 percent for pronation-supination gestures. It can be concluded that Myo Armband in the Mobile Application can be used for Rehabilitation of post stroke patient hands.
Pemanfaatan Perangkat Mengajar Digital Guna Mendukung Blended Learning Maretha Ruswiansari; Bayu Sandi Marta; Dewi Mutiara Sari; Dias Agata; Heny Yuniarti
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2021): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v4i1.723

Abstract

Pandemi Covid-19 mendorong semua sekolah untuk beradaptasi dengan bentuk kegiatan pembelajaran secara daring. Namun, tidak semua sekolah dapat menerapkan metode pembelajaran daring tersebut dengan baik. Salah satunya yaitu SMK Islam Al Amal yang belum tersedia perangkat mengajar yang mendukung pembelajaran daring di sekolah. Hal tersebut membuat para guru kesulitan dalam menggunakan aplikasi pembelajaran daring. Kegiatan pengabdian masyarakat yang dilaksanakan bertujuan membantu para guru untuk dapat memanfaatkan perangkat mengajar digital. Metode yang digunakan dalam pelaksanaannya yaitu dengan memberikan pelatihan kepada para guru agar dapat melaksanakan model pembelajaran blended learning dengan optimal. Para guru sangat antusias selama pelatihan dimana mereka belajar penggunaan perangkat dan aplikasi yang mendukung mengajar daring sesuai yang mereka butuhkan saat ini. Hasil pelatihan menunjukkan peningkatan kemampuan peserta dalam memahami dan mempraktikkan penggunaan pen tablet, mic condenser, webcam, dan green screen yang diintegrasikan dengan aplikasi Zoom dan Open Broadcaster Software.  
Penerapan Fuzzy Tsukamoto pada Alat Deteksi Penyakit Hipoksemia, Hipotermia, Hipertensi, dan Diabetes untuk Health Care Kiosk Heny Yuniarti; Riyanto Sigit; Muhammad Aunur Rofiq
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2643

Abstract

Most of people in Indonesia need fast, right, and accurate health medical service. But as we know in hospital takes many time just for check our health condition. This research make a Health Care Kiosk for medical check up, without using a doctor, so that kiosk can detect many deseases automatically. This research focused on 4 deseases such as hypothermia, hypoxemia, hypertension and diabetes. System using Embedded PC for data processing automatically. There are many medical sensor such as thermometer, heart rate sensor, blood pressure sensor, SPO2 sensor, and glucometer sensor for check health condition. System can make a decision if that patient healthy or not automatically because it uses fuzzy method for that decision. The result of this paper is this system can detect every deseases and that error for each sensor are body temperature has 1.05% error, oxygen level has 1.90% error, heart rate has 5.78% error, blood pressure sistolic has 4.16% error, blood pressure diastolic has 4.87% error and glucosa level in blood has 4.01% error. This system integrated with database MySQL for save that result. The accuracy from fuzzy method is 100% right and fuzzy tsukamoto can process input well.
Co-Authors Dewi Mutiara Sari Dias Agata Fridastya Andini Pamudyaningrum Mahaputra Ilham Awal Maretha Ruswiansari, Maretha Marta, Bayu Sandi Muhammad Aunur Rofiq Prawitri, Yudith Dian Riyanto Sigit Tri Bintang Dewantoro