Saputra, Komang Oka
Universitas Udayana

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Rancang Bangun Aplikasi Simulasi Dekorasi Ruangan dengan Memanfaatkan Teknologi Markerless Augmented Reality Mahardika, Putu Anggara; Suyadnya, I Made Arsa; Saputra, Komang Oka
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v3i1.238

Abstract

Markerless Augmented Reality (AR) adalah teknologi yang menggabungkan objek virtual dua dimensi atau tiga dimensi ke dalam lingkungan nyata dan kemudian memproyeksikan objek virtual ini dalam waktu nyata tanpa memerlukan penanda khusus. Dalam penelitian ini, aplikasi Markerless AR akan digunakan untuk mensimulasikan dekorasi ruangan dengan objek 3 dimensi. Penelitian ini dibangun menggunakan bahasa pemrograman Java dan menggunakan aplikasi pendukung yaitu Android Studio dan Wikitude library. Berdasarkan hasil pengujian dengan metode Black-box, fungsionalitas keseluruhan aplikasi telah berjalan dengan baik, selain itu pengujian juga menggunakan metode System Usability Scale (SUS) dengan memberikan kuesioner kepada 20 pengguna aplikasi. Hasil uji Skala Kegunaan Sistem (SUS) diperoleh skor rata-rata 73,13. Dalam pengelompokan skor persentil SUS, nilai 73,13 berada di Kelas C, di mana penilaian ini aplikasi dapat diterima dan dapat digunakan dengan mudah oleh pengguna. Kata kunci: markerless augmented reality, dekorasi ruangan, java, android, wikitude library
Clock Skew Based Computer Identification on Different Types of Area Networks Herlian, Nola Verli; Saputra, Komang Oka; Hartawan, I Gst A. Komang Diafari Djuni
Journal of Electrical, Electronics and Informatics Vol 3 No 1 (2019): JEEI (February 2019)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2019.v03.i01.p05

Abstract

The increase of client devices along with the growth of internet access currently affects to security threats at the user's identity. Identifiers that commonly used today, such as SSID, IP address, MAC address, cookies, and session IDs have a weakness, which is easy to duplicate. Computer identification based on clock skew is an identification method that is not easily duplicated because it is based on the hardware characteristics of the device. Clock skew is the deviation of the clock to the true time which causes each clock to run at a slightly different speed. This study aims to determine the effect of network types to the clock skew stability as a reliable device identification method. This research was conducted on five client computers which running windows and linux operating systems. The measurement was conducted based on three different types of area networks, i.e., LAN, MAN, and WAN. The skew estimation was done using two linear methods i.e., linear programming and linear regression. The measurement results show that the most stable clock skew is found on the LAN measurement because it meets the threshold tolerance limit i.e., ±1 ppm. Skew estimation using linear programming method has better accuracy than linear regression method.