Article Per Year (5 Year)
p-Index From 2021 - 2026
2.753
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Information Technology and Computer Engineering Jurnal Hilirisasi IPTEKS (JHI) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Kreativitas Pada Pengabdian Masyarakat (Krepa)
Rusydi, Muhammad Ilhamdi
Universitas Andalas
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Veterinary Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Estimation of the Shoulder Joint Angle using Brainwaves Minoru Sasaki; Takaaki Iida; Joseph Muguro; Waweru Njeri; Pringgo Widyo Laksono; Muhammad Syaiful Amri bin Suhaimi; Muhammad Ilhamdi Rusydi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v1i1.5

Abstract

This paper presents the angle of the shoulder joint as basic research for developing a machine interface using EEG. The raw EEG voltage signals and power density spectrum of the voltage value were used as the learning feature. Hebbian learning was used on a multilayer perceptron network for pattern classification for the estimation of joint angles 0o, 90o and 180o of the shoulder joint. Experimental results showed that it was possible to correctly classify up to 63.3% of motion using voltage values of the raw EEG signal with the neural network. Further, with selected electrodes and power density spectrum features, accuracy rose to 93.3% with more stable motion estimation.
The Use of Artificial Neural Networks in Agricultural Plants Roza Susanti; Riko Nofendra; Zaini Zaini; Muhammad Syaiful Amri bin Suhaimi; Muhammad Ilhamdi Rusydi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v2i2.32

Abstract

Artificial Neural Networks use high-performance computing and big data technology, opportunities for science to create new opportunities in agriculture. The purpose of writing this article is to analyze the use of artificial neural networks on (a) plant diseases based on plant leaf diseases, (b) plant pests, (c) growth or quality, and (d) agricultural products. The writing method used is a literature study of the research that has been done. The keywords used in the search for references include ANN, plant, diseases, pests, growth or quality, and agricultural products. Publishers for the reference in this article are ScienceDirect and IEEE. The years of publication of the references are restricted from 2015 to 2022. Based on the literature study results, it was concluded that Artificial Neural Networks' deep learning models are accurate for detecting and classifying leaf diseases and pests, detecting growth, and application to agricultural plant products.
Electroencephalography on Controlling Assistive Device: A Systematic Literature Review Salisa 'Asyarina Ramadhani; Muhammad Ilhamdi Rusydi; Andrivo Rusydi; Minoru Sasaki; Luxfy Roya Azmi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 2 (2024): November 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i2.42

Abstract

The present article delves into the practical applications of electroencephalography (EEG) in assistive devices. The article thoroughly summarizes the current state of the art, research trends, methods, and implementation. The focus is primarily on how EEG can operate various assistive devices effectively, incorporating artificial intelligence, machine learning, and several computing methods. The authors emphasize the importance of conducting more research and development in the field and offer valuable insights into its prospective directions. A complete search of the Scopus database from 2017 to 2022, including journals and proceedings such as IEEE Xplore, MDPI, Springer, Frontiers, and ScienceDirect, was conducted to ensure the findings are as comprehensive as possible. Conferring to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, 4397 metadata were transformed into 45. Based on the data synthesis, the following study execution must prioritize determining whether the observed signals are attributable to EEG artifacts or actual EEG signals. The derivation of input signals for controlling helpful devices can be enhanced by utilizing familiar activities, such as facial muscle movements, and employing various machine-learning techniques to ensure high levels of accuracy.
Perancangan Platform Pengaduan Perundungan Berlandasarkan Bukti menggunakan Metode Agile Muhammad Ilhamdi Rusydi; Yoan Winata; Dhiny Yurichy Putri; Budi Agung Santoso; Nurul Azizah Dhuha; Muhammad Khalish; Ikhwan Arief; Hermawan Nugroho
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1547

Abstract

Penelitian ini bertujuan untuk membuat sebuah platform pengaduan perundungan berlandaskan bukti yang terhubung dengan institusi terkait. Orang ketiga dapat menggunakan platform ini untuk melaporkan kejadian perundungan. Platform ini juga dapat digunakan untuk mengetahui kesehatan mental penggunanya. Platform memiliki fitur konsultasi dalam jaringan melalui fitur chat serta artikel edukasi psikologi dengan berbasis Progressive Web App. Laporan dapat dilakukan oleh korban ataupun pihak ketiga. Laporan perundungan akan masuk ke sekolah korban dan diproses melalui admin sekolah. Pelapor dapat memantau status dari kasusnya. Sekolah dapat merekap laporan kasus dalam rentang waktu tertentu. Pengujian telah dilakukan bersama siswa SMP dan SMA, guru BK, mahasiswa, bagian kemahasiswaan perguruan tinggi dan masyarakat umum. Pengujian dilakukan dengan peran admin institusi, admin pengaduan dan pengguna dengan total responden sebanyak 81 orang. Pengujian dilakukan terkait fungsional menggunakan blackbox test dan uji performa dari platform berdasarkan beberapa aspek. Berdasarkan pengujian yang telah dilakukan, platform ini sudah berfungsi dengan baik. Nilai rata-rata pengujian untuk semua fungsi adalah 351 dari maksimal 400 poin. Pengujian memberikan nilai rentang kelompok tinggi terhadap performa platform karena sudah sesuai dengan kebutuhan pengguna dan sudah memiliki tampilan yang mudah dimengerti, nyaman digunakan. Platform ini bisa menjadi alternatif solusi untuk menyelesaikan kasus perundungan terutama di sekitar kita.
Co-Authors . Darwison Agung W. Setiawan Agung Wibowo Ardiyanta Surbakti Andi Pawawoi Andrivo Rusydi Andrivo Rusydi Anton Hidayat Ariadi Hazmi Arrya Anandika Aulia Novira Aulia Rahman Avelia Fairuz Faadhilah Azmi, Luxfy Roya Budi Agung Santoso Budi Sunaryo Chatarina Umbul Wahyuni Daelita Berliana H. Devianda Ananta Sandri Dhiny Yurichy Putri Dhiny Yurichy Putri Elmiyasna Kimin Febdian Rusydi Hafidzah Putri Rahmadani Haznam Putra Hermawan Nugroho Ikhwan Arief Jack Febrian Rusdi Joseph Muguro Joseph Muguro Khairunnisa Lizzikrillah Kojiro Matsushita Laksono, Heru Dibyo M. Farhan Minoru Sasaki Minoru Sasaki Minoru Sasaki Muhammad Dani Anwar muhammad fikri Muhammad Fikri Muhammad Hadi Sucipto Muhammad Imran Hamid Muhammad Ismail Opera Muhammad Khalish Muhammad Naufalun Nabil Muhammad Syaiful Amri bin Suhaimi Muhammad Syaiful Amri bin Suhaimi Mumuh Muharram Mutia Firza Nadia Alfitri Nurul Azizah Dhuha Oluwarotimi Williams Samuel Pepi Putri Utami Pepi Putri Utami Pratama Halim Prima Fithri Pringgo Widyo Laksono Rahdian Hadi Farhan Rahmadi Kurnia Ramadhani, Salisa 'Asyarina Ridho Tullah Syahputra Rifda Suriani Riko Chandra Riko Nofendra Riko Nofendra Rio Nakajima Rizka Hadelina Robbi Noberlam Dasyura Roza Susanti Roza Susanti Sunaryo, Budi Syafii . Syafril Daus Syamsul Huda Syarkawi Syamsuddin Takaaki Iida Takayuki Nakagome Taufiqurrahman Vinoza Shalsabila Waweru Njeri Waweru Njeri Yoan Winata Yoan Winata Zaini Zaini Zaini, Zaini