PERANCANGAN DAN PEMBUATAN PENGENDALI PINTU, LAMPU, SERTA KIPAS PADA SMART ROOM MENGGUNAKAN INSTRUKSI SUARA MANUSIA MELALUI KONEKSI BLUET

ARDYA PAMUNGKAS, RIDHO (2020) PERANCANGAN DAN PEMBUATAN PENGENDALI PINTU, LAMPU, SERTA KIPAS PADA SMART ROOM MENGGUNAKAN INSTRUKSI SUARA MANUSIA MELALUI KONEKSI BLUET. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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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

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