@thesis{thesis,
		author={Mochamad Ali Fikri Haiqal  Fikri},
		title ={Optimization of the auto temperature control system on the thermal oil heater system 
using Ants Colony Optimization as a PID Controller tunning.},
		year={2022},
		url={http://repository.undar.ac.id/id/eprint/2514/},
		abstract={Optimization of the auto temperature control system on the thermal oil heater system 
using Ants Colony Optimization as a PID Controller tunning. Making a simulink tuning model 
for the PID temperature controller thermal oil heater based on Ants Colony Optimization in the 
2013a Matlab program. Thermal oil heater simulation using Ants Colony Optimization as a 
PID Controller tunning is the best result among other design methods.
Response to PID-ACO with Kp = 2.153, Ki = 1.466, Kd = 0.149, got overshot = 0.004, 
undershot = 0, at setting time 5.505 seconds. It is found that the PID-ACO controller is the best 
method with the smallest overshot at 0.004, the smallest undershot at 0 and the fastest setting 
time at 5.505 seconds.}
		}