Sistem Pakar Diagnosa Gangguan Mesin Mobil
Year: 2018
Type: article
Abstract: The growth of the number of cars in Indonesia each year increases by about 10 to 15 percent. However, this development is not matched by the ability to treat and diagnose the damage. The diagnostic system can make it easy to know what's happening to the machine, providing general solutions and information about how to maintain a car engine. This research developed a machine-failure diagnostic system to predict the damage of car engines. The system development model used is waterfall with stages of analysis (Analysis), design (design), development (Code) and testing (test). The research method used is RnD (Research and Development) with data collection using questionnaires and blackbox test. Experiment test result on content aspect (87,5%), design (93,75%) and usability (78,57%). The results of testing with mechanical car, obtained value 71.67% with the suitability category between symptoms and solutions and general car information. The results show that the waterfall system development model can be used to design the machine damage diagnostic system, RnD research method (Research and Development) can be used in the process of making the system. This study has limitations on some types of cars and does not complement the features provided by the application.
Authors: Aji Budianto, Djoko Adi Widodo
Institution: State University of Semarang
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2903079343