Kasman, Albert
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Security System on Motorcycles Using RFID (Radio Frequency Identification) Based Microcontroller ATMega328P Kasman, Albert; Kasum, Kasum
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 6 No. 2 (2023)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

A Security System has been made on motorcycles using RFID (Radio Frequency Identification) based on the ATMega328P Microcontroller. This system is applied to motorcycles with a tap card or tap RFID (Radio Frequency Identification) keychain which has an identity on each card entered into the program by the owner. The devices used in this system are RFID (Radio Frequency Identification) as input, 16x2 LCD as display, relay as electronic switch and ATMega328P microcontroller that runs programs. The system works by an identification method using a means called RFID (Radio Frequency Identification) labels or transponders to store and retrieve data over long distances. RFID (Radio Frequency Identification) card ID or keychain stored in EEPROM memory on the microcontroller and RFID card or keychain tapped or affixed. If the card ID or keychain does not match several taps, the engine cannot be started, either the double starter or kick starter and the buzzer installed will give an alarm for 60 seconds.
Microcontroller-Based Car Automatic Braking System Nasrullah, Hamid; Kasman, Albert
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 6 No. 2 (2023)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

Traffic accidents are one of the largest causes of death in the world, with Indonesia being one of the countries that records a high death rate due to accidents. One of the main factors causing accidents is the driver's negligence in controlling the vehicle. In an effort to reduce accidents, automatic braking technology is an effective solution to prevent accidents due to braking system failure or the driver's inability to brake properly. The research aims to design and test an automatic braking system using an Arduino-based microcontroller and ultrasonic sensors to detect the distance of the obstacle in front of the vehicle. The system is designed to stop the vehicle automatically before it hits an obstacle, with testing conducted using the system's delay settings to optimise stopping distance. The test results showed that at a delay setting of 150 ms, the vehicle stopped at an average distance of 18.56 cm from the target of 20 cm, while at a delay setting of 300 ms, the vehicle stopped at an average distance of 25.44 cm from the target of 30 cm. This system shows a fairly high success rate in improving vehicle safety and reducing the risk of accidents.