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All Journal Jurnal SPEKTRUM Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Computer Science and Informatics Engineering (J-Cosine) JURTEKSI Journal of Electrical, Electronics and Informatics International Journal of Engineering and Emerging Technology Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Nasional Teknik Elektro dan Teknologi Informasi MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Ulil Albab Journal of Dedication in Community (JoDiC) Journal of Electrical, Electronics and Informatics
Komang Oka Saputra
Program Studi Teknik Elektro, Universitas Udayana
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Journal of Electrical, Electronics and Informatics

 1 
Clock Skew Based Computer Identification on Different Types of Area Networks Nola Verli Herlian; Komang Oka Saputra; I Gst A. Komang Diafari Djuni Hartawan
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.
Balinese Mask Characters Classification using Bag of Visual Words Model Komang Budiarta; Dewa Made Wiharta; Komang Oka Saputra
Journal of Electrical, Electronics and Informatics Vol 5 No 1 (2021): JEEI (February 2021)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2021.v05.i01.p05

Abstract

Mask, often known by Balinese as “Tapel”, is made of pule wood. It depicts the representation of characters in the “badbad” or legend. Bali has many types of mask dances that are often performed, which makes tourists interested in visiting Bali. Unfortunately, many tourists do not know the information contained in Balinese masks. The most important information contained in the character of the Balinese masks. The characters of each mask are different even though they have the same type. As mask art is also a cultural heritage from generation to generation, it needs to be preserved. It is necessary to have information in the form of technology that can distinguish the characters from Balinese masks. In this study, bag of visual word method in the classification process of Balinese mask characters is used, where in this method, there are several algorithms used, namely SURF as feature detection, K-Means as a clustering process to get the value of feature quantization, and SVM as a classification of Balinese mask character. The result of the accuracy level obtained from the testing process is 80%.
Co-Authors A. A. SG. Mas Karunia Maharani A.A Ngurah Amrita Abd. Kholiq Aggry Saputra Agma Tinoe Mauludy Agus Anwar Eka Wahyudi Anak Agung Gede Oka Kessawa Adnyana Anak Agung Gede Oka Kessawa Adnyana Azra Ariel Azmir Azra Ariel Azmir Bhaskara, I Made Adi Darma Kotama, I Nyoman Debbi Irfan Mudhoep Dewa Made Wiharta Duman Care Khrisne Gde Brahupadhya Subiksa Gede Iga Wilhamdika Gede Sukadarmika I G. A. K. Diafari Djuni Hartawan I Gede Agus Aditya Putra I Gede Agus Aditya Putra Aditya I Gusti Agung Anom Semara Putra I Gusti Ngurah Aditya Dharma I Gusti Ngurah Agung Widhiananda I Ketut Citra Adi Putra I Komang Dharmendra I Made Adi Bhaskara I Made Agung Pranata I Made Arsa Suyadnya I Made Bagus Wiradivka Laksa Wibawa I Made Oka Widyantara I Made Surya Sukma Mahardhika I N Satya Kumara I Nyoman Bernadus I Nyoman Gunantara I Wayan Andis Indrawan I Wayan Surya Pramana Ida Bagus A. Swamardika Imam Sucahyo Iskandar, Adi Panca Saputra Kadek Darmaastawan Kessawa Adnyana Gede Oka Anak Agung Kheri Arionadi Shobirin Komang Budiarta Leovin Leovin Linawati Linawati Made Dinda Pradnya Pramita Made Dinda Pradnya Pramita Made Dwi Mulyawan Made Dwi Mulyawan Made Sudarma Mita Anggaryani Mohammad Aryo Wibowo Muhammad Anshari Muhammad Habibbulloh Muhammad Ridwan Satrio Ni Luh Adriani Ni Made Ary Esta Dewi Wirastuti Ni Putu Sri Merta Suryani Nola Verli Herlian Nyoman Pramaita Nyoman Putra Sastra Philipus Novenando Mamang Weking Pratolo Rahardjo Putri Suardani Putri Suardani Putu Anggara Mahardika Putu Arya Mertasana Putu Bagus Hendrayana Surya Putu Bagus Indra Sukadiana Putra Putu Ratih Devyanti Putu Risanti Iswardani Putu Sri Merta Suryani Putu Vendi Arya Wibawa Rahadi, Putu Suta Adya Dharma Rezky Setyawan Rifky Lana Rahardian Risqa Purma Pratama Rukmi Sari Hartati Satriawan, Muhammad Wayan Gede Ariastina Widyadi Setiawan Yoga Divayana Yogha Pramana Zaky Zamani Noor Zulfachmi, Zulfachmi “Prama Ade Prayitno