RANCANG BANGUN PINTU OTOMATIS BERBASIS ARDUINO RFID DAN VOICE RECOGNITION ARDUINO

Akrimni, Ilmi Dwi (2023) RANCANG BANGUN PINTU OTOMATIS BERBASIS ARDUINO RFID DAN VOICE RECOGNITION ARDUINO. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

House doors typically consist of keys and keyholes to unlock them. However, with the evolution of technology, manual doors have transformed into automated systems. An automated door system simplifies looking mechanisms, reducing the number of keys required. However, many people are still unaware of automated doors designed using specific control systems. Therefore, this research aims to provide convenience to the public in utilizing this technology and implementing automatic doors using RFID and Voice Arduino.
The research methodology employed a design and development approach involving several stages, beginning with problem identification, literature review, system planning, design, device testing, and concluding with report preparation. The design of the Arduino RFID and Voice Recognition-based automatic door system utilized RFID technology and Voice Recognition to control access to a specific area. In the this scheme, Arduino served as the central processing unit receiving information from RFID card readings to the authenticate valid cards. Additionally, it processed verified voice commands through The Voice Recognition module. This functionality allowed the door to open automatically upon detecting a registered card or upon issuing the correct voice command. This research primarily focuses on providing assistance to the community by simplifying access through voice codes and card-based authentication.

Item Type: Thesis (Undergraduate)
Student ID: 201910370311101
Keywords: Voice Recognition, RFID, Arduino, System, Automatic doors
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201910370311101 ilmidwia
Date Deposited: 31 Jan 2024 04:20
Last Modified: 31 Jan 2024 04:20
URI: https://eprints.umm.ac.id/id/eprint/3223

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