FAMOS : Aplikasi Deteksi Gangguan Sistem Tenaga Listrik Menggunakan Metode Genetic Algorithm dan Terintegrasi dengan Google Maps

FAMOS is an application to detect disruption or fault in the electric power system. The target user of the FAMOS application is PLN officers so that they can see in the application that there is a disturbance in an area and also if there is a disturbance, the application will notify its users.

This application uses ETAP and MATLAB software in processing the data. ETAP software is used to simulate the single line diagram so that it gets the value of the voltage and current. Then the simulation results from ETAP will be entered into MATLAB and MATLAB will process the data. In this MATLAB there is an algorithm called genetic algorithm where this algorithm will detect disturbances if the voltage and current values ​​are less or more than normal limits. This calculation will be converted to the application so that application users can find out what disturbances occur.

Team : Mochamad Fauzi, Dhimas Khamim Eka Putra, Annas Abrori Ramadhani Harsin