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Bayu Bagus Prabowo
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Journal : Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer

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Implementasi N-Modular Redundancy pada Vehicle Accident Report System Bayu Bagus Prabowo; Rakhmadhany Primananda; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vehicles are one of the necessities needed by humans at this time, especially in Indonesia, where the number of vehicle accidents is quite large, especially in remote areas, and far from health facilities. For that we need a vehicle accident report system, which is reliable and accurate. The tool must be able to detect accidents accurately and be able to send messages to the victim's family. However, in an accident, the vehicle will be in a condition that can cause damage to components or modules as a whole. These problems can cause the device to be unable to detect accidents. Therefore, the system must be equipped with the N-Modular Redundancy method, as a method to disguise errors that occur in the module and allow the tool to continue to work, even if there is damage. N-Modular Redundancy or NMR is a method based on the principle of the Triple Modular Redundancy or TMR method, but this method uses "N" modules instead of three as in TMR. (Elena Dubrova, 2013). The system consists of 3 MPU-6050 sensors as vehicle tilt sensors, 1 TC9548A module as a hardware fault tolerant implementation, 1 Arduino Nano as a microcontroller, and 1 NodeMCU ESP8266 as a message sender. From the test results, the tool has a reliability value of 95%, and a failure rate value of 0.24%, and is able to run 50% more test cycles than identical tools that do not have a reliability function. The results of the tool process will be displayed in the e-mail.
Co-Authors Agung Setia Budi Rakhmadhany Primananda