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All Journal Rotasi Bulletin of Electrical Engineering and Informatics Indonesian Journal of Tropical and Infectious Disease Indonesian Applied Physics Letters Prosiding Seminar Nasional Pengabdian Kepada Masyarakat
Rahmatillah, Akif
Department Of Physics, Faculty Of Science And Technology, Universitas Airlangga
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Health Professions Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health

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Journal : Indonesian Applied Physics Letters

 1 
Prototype Development of Myoelectrics Signal-Based Exoskeleton Anggrian Riska Amelia Shabrine; Pujiyanto Pujiyanto; Akif Rahmatillah
Indonesian Applied Physics Letters Vol. 2 No. 1 (2021): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v2i1.28296

Abstract

Diffable is incompleteness or abnormality accompanied by consequences for specific functions. The method used is tapping on the hamstring and hamstring muscles quadriceps to determine the resulting voltage—muscle signal tapping using Electromyograph (EMG) and Ag-AgCl electrodes. Average current-voltage contraction and relaxation are used as threshold values to drive the servo motor. This study indicates the tension when the muscle contracts are in the range of 4 volts while the relaxation time is 0.4 volts. Then it can be concluded that the voltage when the muscle is contracted is more significant than when it is relaxed. Using different tension during contraction and relaxation in normal subjects showed that the different tension could drive the prototype exoskeleton.
Application of ANFIS-based Non-Linear Regression Modelling to Predict Concentration Level in Concentration Grid Test as Early Detection of ADHD in Children Sayyidul Istighfar Ittaqillah; Delfina Amarissa Sumanang; Quinolina Thifal; Akila Firdausi Harahap; Akif Rahmatillah; Alfian Pramudita Putra; Riries Rulaningtyas; Osmalina Nur Rahma, S.T., M.Si.
Indonesian Applied Physics Letters Vol. 4 No. 1 (2023): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v4i1.48153

Abstract

Concentration is the main asset for students and serves as an indicator of successful learning implementation. One of the abnormal disturbances that can occur in a child's concentration development is attention deficit hyperactivity disorder (ADHD). The prevalence of ADHD in Indonesia in 2014 reached 12.81 million people due to delayed management in addressing ADHD. Therefore, early detection of ADHD is necessary for prevention. ADHD detection can be done by testing the level of concentration using a concentration grid. However, a method is needed that can be applied to uncooperative young children who are not familiar with numbers. Therefore, research was conducted with an innovative approach using a combination of EEG-ECG to classify concentration levels. The data used in this study were primary data from 4 participants with 5 repetitions. The data were processed in the preprocessing stage, which involved noise filtering and Butterworth filtering. The features used in this study were BPM (beats per minute), alpha, theta, and beta EEG signals, which would later become inputs for the Adaptive Neuro-Fuzzy Inference System (ANFIS). The output shows that the combination of EEG-ECG has the potential to predict concentration test results. Using BPM, alpha, theta, and beta signals can serve as parameters for predicting the concentration grid test values using ANFIS effectively. In the ANFIS model with 4 features, an accuracy of 99.997% was obtained for the training data and 80.2142% for the testing data. This result could be developed for early detection of ADHD based on concentration levels so the learning implementation could be more effective.
Co-Authors Adinda, Aura Aji , Angger Krisna Akila Firdausi Harahap Alfian Pramudita Putra Anggrian Riska Amelia Shabrine Chai, Rifai Delfina Amarissa Sumanang Firman Isma Isma Serdana Franky Chandra Imam Sapuan Khusnul Ain Muhamad, Alfian Baggraf Osmalina Nur Rahma Pujiyanto Pujiyanto Quinolina Thifal Riries Rulaningtyas Sayyidul Istighfar Ittaqillah Septanto, Harry Soegianto Soelistiono Suryani Dyah Astuti Susilo, Yunus Ummi Hanifah Yaqubi, Ahmad Khalil