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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengabdian UntukMu NegeRI INOVTEK Polbeng - Seri Informatika JOURNAL SPORT AREA JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Tekinkom (Teknik Informasi dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Innovation in Research of Informatics (INNOVATICS) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal J-PEMAS Abdiformatika: Jurnal Pengabdian Masyarakat Informatika J-COSCIS : Journal of Computer Science Community Service JAIA - Journal of Artificial Intelligence and Applications SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Unang Rio
Teknik Informatika, STMIK Amik Riau
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : Innovation in Research of Informatics (INNOVATICS)

 1 
Security System For Motorcycle Using Raspberry Pi and Fingerprint With Mobile-Based Finite State Machine (FSM) Method Rometdo Muzawi; Yoyon Efendi; Unang Rio; Dafwen Toresa
Innovation in Research of Informatics (INNOVATICS) Vol 5, No 1 (2023): Maret 2023
Publisher : Informatika Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i1.6698

Abstract

Data from the BPS (Central Statistical Agency) show that private car theft in Indonesia is on the rise year after year, especially for two-wheeled vehicles or motorcycles. According to the BPS Crime Statistics Report, there were around 35,000 motor vehicle theft events in Indonesia in 2017 and 38,000 instances in 2018. People's concerns regarding the security of these two-wheeled vehicles are growing as a result. This study presents a fingerprint- and Raspberry Pi-based motorcycle security system. Bikes may be monitored, and their ignitions can be controlled remotely using a mobile-based Finite State Machine (FSM) technique. The Neo 6 GPS module will send longitude and latitude in real time to the Android smartphone application, which generates a map or location point so that it will send notifications if there is movement on the motorcycle. The voltage sensor connected to the Raspberry Pi circuit can detect the motor voltage. A system that uses the FSM (Finite State Machine) approach to identify changes in location data from designated parking lots and deliver messages to a push bullet is the study's output. Controlling the motorcycle ignition, which may remotely switch off the motorcycle when one is taken, is another way to provide early notice.
Security System For Motorcycle Using Raspberry Pi and Fingerprint With Mobile-Based Finite State Machine (FSM) Method Muzawi, Rometdo; Efendi, Yoyon; Rio, Unang; Toresa, Dafwen
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 1 (2023): Maret 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i1.6698

Abstract

Data from the BPS (Central Statistical Agency) show that private car theft in Indonesia is on the rise year after year, especially for two-wheeled vehicles or motorcycles. According to the BPS Crime Statistics Report, there were around 35,000 motor vehicle theft events in Indonesia in 2017 and 38,000 instances in 2018. People's concerns regarding the security of these two-wheeled vehicles are growing as a result. This study presents a fingerprint- and Raspberry Pi-based motorcycle security system. Bikes may be monitored, and their ignitions can be controlled remotely using a mobile-based Finite State Machine (FSM) technique. The Neo 6 GPS module will send longitude and latitude in real time to the Android smartphone application, which generates a map or location point so that it will send notifications if there is movement on the motorcycle. The voltage sensor connected to the Raspberry Pi circuit can detect the motor voltage. A system that uses the FSM (Finite State Machine) approach to identify changes in location data from designated parking lots and deliver messages to a push bullet is the study's output. Controlling the motorcycle ignition, which may remotely switch off the motorcycle when one is taken, is another way to provide early notice.
Co-Authors -, Dwi Haryono -, Fachrizal Abdullah, Khairul Hafezad Abimanyu Yuda Prakoso Adi Saputro Ahmad Fauzi Aulia Ahmad Fauzi Aulia, Ahmad Fauzi Bakaruddin Bakaruddin Dafwen Toresa Edwar Ali Efrizoni, Lusiana Elgamar Syam Erlin Erlin . Ermy Pily, Annisa Khoirala Fachrizal - Fadzli Shah Abd Aziz Fransiskus Zoromi Gazali, Novri Helda Yenni, Helda Jamaris, Muhamad Julianto Royand Wahyudi simanullang Junadhi, Junadhi Meidina, Mita Muhammad Syaifullah Nova Indriyani Novia Nazirun Rahmaddeni Rahmaddeni Rahmiati Resti Desmawati Rometdo Muzawi, Rometdo Romi Cendra Suhada, Khairus SUSANTI Susi Erlinda Syahrul Imardi Tashid Tashid Tashid, Tashid Toresa, Dafwen Torkis Nasution Wirta Agustin Yanti, Rini Yoyon Efendi Yustis Maruhawa Zulafwan