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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Inotera Jurnal Nasional Teknik Elektro dan Teknologi Informasi Aceh International Journal of Science and Technology Jurnal Rekayasa elektrika
Adriman, Ramzi
Universitas Syiah Kuala
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Sybil Attack Prediction on Vehicle Network Using Deep Learning Zulfahmi Helmi; Ramzi Adriman; Teuku Yuliar Arif; Hubbul Walidainy; Maya Fitria
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 3 (2022): Juni 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.315 KB) | DOI: 10.29207/resti.v6i3.4089

Abstract

Vehicular Ad Hoc Network (VANET) or vehicle network is a technology developed for autonomous vehicles in Intelligent Transportation Systems (ITS). The communication system of VANET is using a wireless network that is potentially being attacked. The Sybil attack is one of the attacks that occur by broadcasting spurious information to the nodes in the network and could cause a crippled network. The Sybil strikes the network by camouflaging themselves as a node and providing false information to nearby nodes. This study is conducted to predict the Sybil attack by analyzing the attack pattern using a deep learning algorithm. The variables exerted in this research are time, location, and traffic density. By implementing a deep learning algorithm enacting the Sybil attack pattern and combining several variables, such as time, position, and traffic density, it reaches 94% of detected Sybil attacks.
Heart Attack Notification and Monitoring System Using Internet of Things Maya Fitria; Ramzi Adriman; Irham Muhammaddin Batubara; Akhyar Bintang
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4509

Abstract

People are frequently shocked when someone passes away suddenly without any prior symptoms. One of the contributing factors is a heart attack. This condition might occur anywhere and at any time. A sudden heart attack can be highly perilous for a person who is alone, without family members or friends because the family cannot be informed of the victim's condition or their location. Therefore, it is vital to raise awareness of heart attacks. With the support of the Internet of Things, this study aims to develop a wearable device that people may use to monitor their heart health and connect with hospitals to get alerts in case of a heart attack. This system also provides family members with access to a web-based patient monitoring tool. The heart beat is considered as the parameter in developing this system. There are three types of evaluation which are conducted in this study, namely: 1) Sub-system evaluation; 2) Black-box testing; and 3) Integrating system testing. The three evaluation results show that all assembled hardware components are work properly and the system effectively satisfies the objectives of monitoring, buzzer activation, hospital and patient family notification, and so forth, with 1.96% average sensor error, which is still considerably acceptable.
Co-Authors Afdhal Afdhal Akhyar Bintang Ali Djamhuri Amsar Yunan Asfianda, Muhammad Away, Yuwaldi Cosmin Adrian Morariu Dedi Fazriansyah Putra Hubbul Walidainy Irham Muhammaddin Batubara Josef Pauli Kurnia Rizki Maya Fitria Muhammad Asfianda Muhammad Mizwar Nasaruddin Nasaruddin Nasaruddin Nasaruddin Nasaruddin Nazaruddin Abubakar Rizal Munadi Rizki, Kurnia Rony Kurnia Rudi Kurniawan Tarmizi Tarmizi Teuku Yuliar Arif Yusrizal Yusrizal Yuwaldi Away Zahrul Fuadi Zulfahmi Helmi