Purwa Rupa Sistem Pengaman Sepeda Motor Berbasis IoT (Internet of Things
Kata Kunci:
Blynk cloud, ESP8266, finger print sensor, IoTAbstrak
The case of motorbike theft is one of the common problems in the community that needs to be found a solution. One of solutions to secure motorbikes from potential theft is to install smart vehicle technology (smart vehicl e). This paper describes the design of IoT vehicle safety systems using Arduino Mega microcontroller, fingerprint sensor, ESP8266 and Blynk applications on smartphones. For the experiment, this study uses an automatic transmission motorbike that represents the public motorcycle model. For research methods, this study uses three stages of design. The first stage is to compile the prototype hardware of a motorcycle security system using a fingerprint sensor, and a microcontroller. The second phase, IoT that uses a notification system on ESP8266-based smartphones and Blynk applications are designed. In the third stage, the security system and notification system sent via the smartphone are combined. In the results of the first phase of the trial, five people (whose fingerprints were registered and not registered) were involved to show the system was working as we expected. This means that even if the vehicle ignition is in the "ON" position, the motorcycle engine cannot be started using an electric starter method or using a crank start system. To be able to "start" a motorcycle engine, the user's fingerprint must be verified first. In the second phase of the trial, notification via the Blynk application on the smartphone will show someone's fingerprint that started the motorcycle has been verified or not verified. Finally in the final stage of the trial, information systems in the form of notifications on smartphones can be realized to inform users who are trying to start the motorcycle engine have been verified or not verified. The results of this study are expected to become IoT applied references for motorcycle and other vehicle security systems
Referensi
Anonim, Statistik Kriminal 2017, ISSN 2089-5291, http://bps.go.id/publication
Arafat, Sistem pengamanan pintu rumah berbasis Internet Of Things (IoT) Dengan ESP8266, Technologia, Vol 7, No.4, pp. 262-267, 2016,
Blynk document.http://docs.blynk.cc, 2018.
B.R.A Putra, E.Rohadi, R. Ariyanto, Pengendalian Rumah Pintar Menggunakan Jaringan Internet Berbasis Raspberry Pi, Prosiding SENTIA 2016, vol. 8, pp:A-103-110, 2016.
Beman Suharjo, Falentino S., Liawatimena S., Perancangan Sistem keamanan Sepeda Motor dengan Sistem sidik jari, Jurnal Teknik Komputer, 19(1), pp.17-21, 2011.
M.I.Mahali, Smart Door Locks Based on Internet of Things Concept With Mobile Backend as a Service, Jurnal Electronics, Informatics, and Vocational Education (ELINVO), Vol. 1, No.3, pp:171-181, 2016.
Marco Schwartz, Internet of Things With Arduino Cook Book, Packt Pubs Ltd, Birmingham UK, 2016.
T. Juwariyah, A.C Dewi, Rancang Bangun Sistem Keamanan Sepeda Motor Dengan Sensor Sidik Jari, Jurnal Bina Teknika, Vol.13, No. 2, pp: 223-227, 2017.
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