Rancang Bangun Sistem Keamanan Pintu Rumah Menggunakan Metode Segitiga Wajah (triangle face) Berbasis Raspberry Pi
DOI:
https://doi.org/10.22441/jte.2021.v12i1.006Keywords:
Keamanan pintu rumah, metode Segitiga Wajah, Template, Matching, Raspberry Pi, Pi kamera, OpenCV, Haar Casecade, Solenoid door lock, sensor ultrasonicAbstract
Seiring perkembangan teknologi, semakin banyak peralatan-peralatan maupun sistem keamanan canggih berbasis teknologi yang mutakhir. Semakin tingginya angka kriminalitas terutama pencurian dan perampokan mendorong diperlukannya sistem keamanan yang lebih efektif dan efisien. Keamanan pintu rumah yang baik tentu memiliki sistem penguncian yang baik pula, yang kecil kemungkinannya terjadi pembobolan. Pada perancangan sistem keamanan pintu rumah menggunakan metode segitiga wajah (triangle face) berbasis raspberry pi 3 model B+ yang memiliki kelebihan salah satunya mudah,praktis dalam penggunaan untuk dapat meningkatkan kenyamanan dan keamanan dalam membuka pintu rumah tanpa harus memegang bermacam-macam kunci yang mungkin sangat menggangu. Penggunaan fitur Haar Casecade Classifier dengan OpenCV digunakan sebagai pemograman yang berfungsi untuk melakukan deteksi terhadap suatu objek yang pada penelitian ini adalah wajah. Berdasarkan hasil pengujian pada sistem yang telah dirancang, pengenalan dengan metode segitiga wajah memiliki keakurasian 92% di pencahayaan 104 lux dan keakurasian 84% di pencahayaan yang lebih rendah yaitu 53 lux
Downloads
References
A. Ariffin, “Rancangan Pendeteksi Dan Pengenalan Pola Wajah Menggunakan Raspberry Dengan Metode Viola Jones - UMB Repository,” Mercubuana.ac.id, May 2020.
D. I. Bramantio, “Perancangan Dan Implementasi Keamanan Pintu Berbasis Pengenalan Wajah Dengan Metode Eigenface,” TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika, vol. 1, no. 2, Jan. 2019, doi: 10.25124/tektrika.v1i2.1785.
D. Parekesit, “Analisis Deteksi Tepi Untuk Mengidentifikasi Pola Wajah Reviuw (Image Edge Detection Based Dan Morphology)”, Jurusan Komputer, Universitas Budi Luhur, Jakarta, 2009.
H. Saputra, F. Utaminingrum, and W. Kurniawan, “Deteksi dan Pengenalan Wajah sebagai Pendukung Keamanan Menggunakan Algoritme Haar-Classifier dan Eigenface Berbasis Raspberry Pi”, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 2, 2019.
M. Syabibi, and A. Subari, “Rancang Bangun Sistem Monitoring Keamanan Rumah Berbasis Web Menggunakan Raspberry Pi B+ Sebagai Server Dan Media Kontrol,” Gema Teknologi, vol. 19, no. 1, pp. 22-29, Oct. 2016. https://doi.org/10.14710/gt.v19i1.21959
I. D. Wijaya, U. Nurhasan, and M. A. Barata, “Implementasi Raspberry Pi Untuk Rancang Bangun Sistem Keamanan Pintu Ruang Server Dengan Pengenalan Wajah Menggunakan Metode Triangle Face”, JIP, vol. 4, no. 1, p. 9, Nov. 2017.
Downloads
Published
How to Cite
Issue
Section
License
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
