No abstract

The garbage crusher is one of the tools that is considered to have a high level of effectiveness in overcoming the problem of garbage in the river around DKI Jakarta. However, the dredging tool that is currently available is still moving manually in operation, which results in scheduling human resources that are less than optimal in every operation. This requires a garbage dredger whose operation can work automatically so that the scheduling of human resources in the operation of the garbage crusher is optimal. In this research, automatic garbage scrapers will be simulated using a Fuzzy Inference System. Simulation in the form of knowledge making on decisions that will later be on automatic garbage scrapers using a fuzzy inference system.

Electrical equipment categorized as the nonlinear load will cause harmonics. Harmonic is a periodic distortion of the sine wave that can cause a negative impact on electronic equipment components. One way to improve power quality is to reduce harmonics using harmonic filters. In this study, an analysis of the system was carried out before adding a filter and after adding an active filter based on a fuzzy logic controller. The application of the fuzzy logic method on filters functions to reduce over switching in the inverter so that it can reach the lowest THDi value. THDi simulation results when the existing conditions are in phase R, S, T; at 14%, 17%, 14%. When the active filter condition is without control, the THDi percentage at the R phase is 6%, the S phase is 6%, the T phase is 4%. In the active filter conditions based on the fuzzy logic controller the percentage of THDi in phase R, S, T; is 0.9%, 0.9, 1%. Based on the simulation results introduced in the active filter based fuzzy logic controller is able to reduce harmonic distortion to the lowest value, so the use of fuzzy logic in active filters can be used in the harmonic filtering process in the electrical system.