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All Journal Jurnal Sistem Informasi dan Bisnis Cerdas SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JISKa (Jurnal Informatika Sunan Kalijaga) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Kepada Masyarakat
Hendrawan, Muhammad Afif
Jurusan Teknologi Informasi, Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

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Identification of optimum segment in single channel EEG biometric system Muhammad Afif Hendrawan; Pramana Yoga Saputra; Cahya Rahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1847-1854

Abstract

Nowadays, biometric modalities have gained popularity in security systems. Nevertheless, the conventional commercial-grade biometric system addresses some issues. The biggest problem is that they can be imposed by artificial biometrics. The electroencephalogram (EEG) is a possible solution. It is nearly impossible to replicate because it is dependent on human mental activity. Several studies have already demonstrated a high level of accuracy. However, it requires a large number of sensors and time to collect the signal. This study proposed a biometric system using single-channel EEG recorded during resting eyes open (EO) conditions. A total of 45 EEG signals from 9 subjects were collected. The EEG signal was segmented into 5 second lengths. The alpha band was used in this study. Discrete wavelet transform (DWT) with Daubechies type 4 (db4) was employed to extract the alpha band. Power spectral density (PSD) was extracted from each segment as the main feature. Linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the EEG signal. The proposed method achieved 86% accuracy using LDA only from the third segment. Therefore, this study showed that it is possible to utilize single-channel EEG during a resting EO state in a biometric system.
Development of smart parking system using internet of things concept Dwi Puspitasari; Noprianto Noprianto; Muhammad Afif Hendrawan; Rosa Andrie Asmara
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 1: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i1.pp611-620

Abstract

The growing number of vehicles in developing countries causes a slew of issues, including the parking system.The current parking system is mostly manual, requires human intervention as a security system, and does not provide information about available parking areas.Their problems cause nonoptimal parking management. Furthermore, it can lead to income loss and criminal acts. This study addresses one of the possible solutions by using the internet of things (IoT) concept. The parking system is built by utilizing a smart card, machine-to-machine (M2M) communication, and cloud monitoring. As a result, the smart parking system prototype has been provided. The parking system business process can be done automatically, and it provides a more secure parking security system. The proposed parking system architecture also provides a practical system. The system only took around 1 second to perform the data transmission between nodes.
Co-Authors Afandi, Yosi Candra Bella Vista Dika Rizky Yunianto Dwi Puspitasari Gunawan Budiprasetyo Indra Dharma Wijaya Maskur Maskur Moch Zawaruddin Abdullah Muhammad Shulhan Khairy Nilawati Fiernaningsih Noprianto, Noprianto Nurcahya Nania Anabela Odhitya Desta Triswidrananta Pramana Yoga Saputra Pudji Herijanto Rahmad, Cahya Rinanza Zulmy Alhamri, Rinanza Zulmy Rosa Andrie Asmara Septian Enggar Sukmana Toga Aldila Cinderatama Yoppy Yunhasnawa