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Jason Adrian Mahalim
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Computer Science & IT Control & Systems Engineering Engineering

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Implementasi Kanopi Otomatis untuk Kenyamanan Termal Jason Adrian Mahalim; Filipus Samuel; Filbert Wijaya; Muhamad Aliefian Rahmatulloh
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.173 KB) | DOI: 10.31937/sk.v12i1.1605

Abstract

Aktivitas manusia tidak akan pernah terlepas dari kegiatan luar ruangan. Namun karena pengaruh cuaca, aktivitas tersebut bisa terganggu seketika. Atas masalah tersebut, kami membuat proyek berupa kanopi otomatis yang bisa mendeteksi cuaca dan intensitas cahaya. Mikrokontroler yang digunakan pada proyek ini adalah Arduino Uno. Untuk mendeteksi intensitas cahaya matahari, sensor yang digunakan adalah Light Intensity Sensor, dan sensor yang digunakan untuk mendeteksi kondisi cuaca adalah sensor hujan. Tujuan dibuatnya proyek ini adalah untuk meningkatkan kenyamanan termal yang dimiliki oleh setiap orang ketika beraktivitas di luar ruangan. Kata Kunci : Kanopi, Arduino, Kenyamanan Termal
Pengaplikasian Face Recognition 3 Dimensi Untuk Keamanan Jason Adrian Mahalim; Muhamad Aliefian Rahmatulloh; Muhamad Rizky Febrianto; Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.639 KB) | DOI: 10.31937/sk.v12i1.1620

Abstract

Face recognition is one of the biometric categories which uses face as the identifier. Currently, there are two versions of face recognition, 2 dimensional and 3 dimensional. This research uses 3 dimensional face recognition, and the goal for this research is for comparing the accuracy between 2 dimensional and 3 dimensional face recognition, analyze the performance of 3 dimensional face recognition, and applying 3dimensional face recognition for security measure, namely for automatic door lock using face recognition. Face Alignment Network used as the method for this 3 dimensional face recognition. This research prove that 3 dimensional face recognition have better accuracy than its predecessor, however some weakness is also found in this research, i.e. image resolution, lighting of the photo, angle of the face when the photo taken will govern the accuracy of the 3 dimensional face recognition and 3 dimensional face recognition can’t differentiatebetween twins brother faces.Key word : Face recognition, accuracy
Co-Authors Filbert Wijaya Filipus Samuel Muhamad Aliefian Rahmatulloh Muhamad Rizky Febrianto Shabrina, Nabila Husna