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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Semnastek Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Ilmiah FIFO Petir Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri JIKA (Jurnal Informatika) Pancaran Pendidikan Prosiding Simposium Nasional Multidisiplin (SinaMu)
Abdurrasyid, Abdurrasyid
Information Technology Department, Sekolah Tinggi Teknik - PLN, Jl. Duri Kosambi, Cengkareng, Jakarta,
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Physics Public Health Social Sciences

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Journal : Pancaran Pendidikan

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Implementation of Eigenface Method in Improving Security in a Smart Home Systems Abdurrasyid Abdurrasyid; Riki Ruli Afandi Siregar; Indrianto Indrianto; Meilia Nur Indah Susanti
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.647 KB) | DOI: 10.25037/pancaran.v7i2.182

Abstract

Based on data that was extracted from Indonesia Central Bureau of Statistics there were has been theft cases as much as 125.869 times during 2015, consists of Crime against Property / Goods with Violence 11.856 cases, and Crimes against Property / Goods Non-Violent 114.013 cases, theft often occurs in empty homes that no occupants, theft is also common in homes that have security cameras, cameras that were installed cannot provide prevention or warning to homeowners. It can be anticipated if the homeowner gets information about the condition of the house in real time wherever he is. This technology is designed to created smart home system that was integrated by the security method especially in face recognition, Eigenface method as the image processing method used to detect home occupants to avoid thieves, the core of this method is to compare the eigenface value of the captured image with the eigenface value present in the database, the smaller difference between the eigenface training image in the database with the eigenface test face it can be concluded that the image has a higher similarity, greater differences,  will make the system detect that an unknown person is entering the house, and will send a warning message to the homeowner via cell phone about danger that is occurs.
Co-Authors Arry Akhmad Arman Aziza, Rosida Nur Bramantyo Adi Nugroho Didik Fauzi Dakhlan Dimitri Mahayana Efy Yosrita Fikri Amarullah Haris, Abdul Herman Bedi Agtriadi, Herman Bedi Husain, Syepry Maulana Indrianto Indrianto Linda Alifiana Luqman Luqman Meilia Nur Indah Susanti, Meilia Nur Purwanto, Yudhi Rakhmat Arianto Rakhmat Arianto Ri Sabti Septarini Riki Ruli A. Siregar, Riki Ruli A. Rima Rizqi Wijayanti Rima Rizqi Wijayanti Siswipraptini, Puji Catur Teguh Aryo Nugroho Wada Kaligula Budiargo