SISTEM BUKA TUTUP PINTU OTOMATIS BERBASIS SUARA

Sinta Ariyanti, Universitas Negeri Semarang, Indonesia
Slamet Seno Adi,
Sugeng Purbawanto,

Abstract


Biometric identification is one of the media on the operation of the system of home automation are much sought after.This is because conventional identification such as the use of your PIN, password, and a key card is already not enough reliable, in terms of security and how to operate.Biometrics is essentially an introduction to someone based on the unique personality of each person owned such as facial recognition, fingerprints, voice recognition, the introduction of the retina, and signature.Voice recognition is a process to identify a person by recognizing speech from that person.The purpose of this research is to know the success rate of the giving of the commandments on the system open close the door automatically using voice recognition. The methods used in this study is the method waterfall and consist of systems analysis, the design, implementation, and  testing. This system uses the module Easy VR as an introduction to his voice. Easy device VR 3.0 can be an alternative in the build system-based voice recognition, as have a number of benefits that is its small size, has a user-defined feature speaker dependent, so for its implementation can be minimize the complexity of installation and configuration of the function of the device is relatively simple.This study uses two words used to code the words "buka" and "tutup".The success of the grant of the injunction on testing tools by the person authorized is 95% for the word "buka", and 90% for the word "tutup".

Keywords


biometrik, waterfall, Easy VR.

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References


[1] Imario, Anjar, Sudiharto, Dodi isaksono and Ariyanto, Endro. The validated voice recognition measurement of several tribes in Indonesia using easy VR 3.0. Case study: The prototype of automated doors. Semarang : IEEE, 2017, 2017 International Seminar on Application for Technology of Information and Communication (iSemantic) ,132-136.

[2] Tumuli, Andika D.L., Najoan, Xaverius N. and Sambul, Alwin M. Implementasi Teknologi Biometrical Identification untuk Login Hotspot. 2017, E-Journal Teknik Informatika, 12(1),1-5. ISSN 2301-8364.

[3] Srivastava, Himanshu. A Comparison Based Study on Biometrics for Human Recognition. 2013, IOSR Journal of Computer Engineering (IOSR-JCE), 15(1), 22-29. e-ISSN: 2278-0661, p- ISSN: 2278-8727.

[4] Frischholz, Robert W. and Dieckmann, Ulrich. BioID: A Multimodal Biometric Identification System. s.l. : IEEE, 2000. 64-68.

[5] King, Rawlson O'Neil. Speech and Voice Recognition. Biometrics Research Group. [Online] 2014. www.biometricupdate.com/wp-content/uploads/2014/05/Voice-Biometrics.pdf.

[6] Saini, Preeti and Kaur, Parneet. Automatic Speech Recognition: A Review. 2013, International Journal of Engineering Trends and Technology, 4(2)

[7] Maiwald, Eric and Sieglein, William. Security Planning and Disaster Recovery 1st Edition. California : McGraw-Hill, 2002.

[8] Hasan, Nurul Fadzilah, Rejab, Mohd R.M. and Sapar, Nurul Hidayah.Implementation of speech recognition home control system using arduino. 2015, ARPN Journal of Engineering and Applied Sciences, 10(23), 17492-17498. ISSN 1819-6608.

[9] Septriyaningrum, Indah Ayu, Nugrahadi, Dodon T. and Ridwan, Ichsan. Perancangan dan pengembangan prototype sistem parkir. 2016, Kumpulan Jurnal Ilmu Komputer (KLIK), 3 (2), 146-155. ISSN: 2406-7857.

[10]Pressman, Roger S. Software Engineering: A Practitioner’s Approach, Fifth Ed. Newyork : McGraw-Hill Book Company, 2001.




DOI: https://doi.org/10.21831/elinvo.v3i1.19076

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