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MOTORCYLCE ANTI-THEFT DEVICE WITH GPS TRACKER USING MOBILE APPLICATION ACQUIN, BALBUENA, PUNO, SALVIDAR, SALVADOR

By: Contributor(s): Material type: TextPublication details: ©2025Description: xii,100 leaves illustration 28 CM Media type:
  • unmediated
Carrier type:
  • volume
LOC classification:
  • UGT LG 221.R59 AC186 2025
Dissertation note: UNDERGRADUATE BACHELOR OF SCIENCE IN COMPUTER ENGINEERING UNIVERSITY OF RIZAL SYSTEM 2025 Summary: This study focused on the development of a LoRa-based Motorcycle Anti-theft Device (MATD) And a mobile application for gasoline engine motorcycles with Capacitor Discharge Ignition (CDI) or Transistor Controlled Ignition (TCI) systems. It was conducted to University of Rizal System Antipolo-Campus from the School year 2024-2025. The project followed the Agile methodology and involved 10 experts and 20 end-users for the feedback throughout the development phases. The MATD, grounded in electromagnetic theory, operated as a LoRa node connected to a gateway that communicated with The Things Network (TTN). Powered by a lithium battery, the microcontroller controlled the ignition system throughout a relay, sent GPS coordinated every 30 minutes and used a vibration sensors to detect unauthorized movements. Excluded from the system were keyless and electric motorcycles. Noted limitations included battery dependency and network reliability, although the system still proved effective in delivering secure timely alerts
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Theses and dissertations Antipolo College Library On Display UGT LG 221.R59 AC186 2025 (Browse shelf(Opens below)) Not for loan URSANT-UGT1685

UNDERGRADUATE BACHELOR OF SCIENCE IN COMPUTER ENGINEERING UNIVERSITY OF RIZAL SYSTEM 2025

This study focused on the development of a LoRa-based Motorcycle Anti-theft Device (MATD) And a mobile application for gasoline engine motorcycles with Capacitor Discharge Ignition (CDI) or Transistor Controlled Ignition (TCI) systems. It was conducted to University of Rizal System Antipolo-Campus from the School year 2024-2025. The project followed the Agile methodology and involved 10 experts and 20 end-users for the feedback throughout the development phases. The MATD, grounded in electromagnetic theory, operated as a LoRa node connected to a gateway that communicated with The Things Network (TTN). Powered by a lithium battery, the microcontroller controlled the ignition system throughout a relay, sent GPS coordinated every 30 minutes and used a vibration sensors to detect unauthorized movements. Excluded from the system were keyless and electric motorcycles. Noted limitations included battery dependency and network reliability, although the system still proved effective in delivering secure timely alerts

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