Abstract :
Control of indoor electrical equipment, such as locking doors, lights, and fans, is still mostly done manually with conventional physical buttons. This is considered
inef icient because the control requires users to reach or interact physically directly
with the control buttons, so it takes time and requires additional ef ort for users if the
distance with the control buttons is quite far. To overcome this problem, innovation is
needed, one of which is by applying the voice instruction feature through the speech
recognition function on Android phones in controlling door locks, lights and fans, so
that the smart room concept can be realized with more interactive and ef icient load
control access. In this study, the authors design and manufacture a door lock control system
with solenoid, light, and fan using human voice instructions. Incoming instructions
are processed in the instruction software for initialization of workload conditions and
sent to the control hardware via a bluetooth connection to be translated and executed
in the workload controller driver section. Solenoid control uses mosfet as a switching
system. In the light load the zero crossing detector output signal is used as a reference
in setting the triac triggering delay range. The fan speed setting is obtained by
adjusting the PWM (Pulse Width Modulation) as a trigger in the driver circuit. The end result is that when the voice instructions are given accordingly, the
data is transferred from the android via bluetooth to the control device to be used as
the initial input for the workload conditioning. Through testing, the smart room
control device built by the author is more time-ef ective than conventional controls
because of its fast work response with a delay of less than 3 seconds at a distance of
up to 10 meters. In the application trial of the software with a sample of Android
phones, it can be compatible on Android versions 7 to Android One and operates
normally with an instruction distance