Mobile-Based Car Diagnostic Application Using Onboard Diagnostic-II Scanner

Authors

  • Karto Iskandar Bina Nusantara University
  • Alfred Tambayong Bina Nusantara University
  • Muhammad Rafif Fawwaz Mulya Bina Nusantara University
  • Steven Cendra Elfanlie Bina Nusantara University
  • Maria Grace Herlina Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v14i2.9138

Keywords:

mobile-based application, car diagnostic, Onboard Diagnostic-II Scanner

Abstract

Mobile applications today serve as versatile tools across diverse sectors, enhancing human productivity through specialized software on electronic devices. Implementation of the mobile application can also be applied to vehicles, with inspection and checking functions assisted by the Onboard Diagnostic-II (OBD-II) scanner. The research aimed to develop an integrated mobile application that utilized the OBD-II scanner and Data Acquisition System (DAS) to monitor vehicle health and provide timely service reminders. Vehicle information was taken by the DAS process into a Diagnostic Trouble Code (DTC) from the vehicle itself. The method applied the waterfall model, which consisted of communication, planning, modeling, construction, and evaluation. The problem analysis and requirements gathering for developing the application involves the interview method and Google Forms-generated questionnaires with 101 responses. Then, the research used OBD-II series ELM327 and ELM 327 IC devices for testing. The research results in an application developed for vehicle diagnostics using a recommendation system through notifications that provide vehicle health information and service time reminders to users. This application consists of eight modules, with the main module being able to provide recommendations for vehicle owners. These recommendations are helpful for users to maintain the health of their vehicles regularly. Further research is recommended to enhance the development of the application, aiming to create a more comprehensive user interface.

Dimensions

Plum Analytics

Author Biographies

Karto Iskandar, Bina Nusantara University

Computer Science Department, School of Computer Science

Alfred Tambayong, Bina Nusantara University

Computer Science Department, School of Computer Science

Muhammad Rafif Fawwaz Mulya, Bina Nusantara University

Computer Science Department, School of Computer Science

Steven Cendra Elfanlie, Bina Nusantara University

Computer Science Department, School of Computer Science

Maria Grace Herlina, Bina Nusantara University

Management Department, BINUS Business School Undergraduate Program

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Published

2023-12-06

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