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All Journal TEKNIK ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Indonesian Journal of Electrical Engineering and Computer Science Charity : Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Jurnal Rekayasa elektrika
Ratri Dwi Atmaja
Universitas Telkom
Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Analisis dan Simulasi Video Watermarking Menggunakan Metode Dual Tree Complex Wavelet Transform (DT-CWT) dan Singular Value Decomposition (SVD) Arina Fadhilah; Bambang Hidayat; Ratri Dwi Atmaja
Jurnal Rekayasa Elektrika Vol 12, No 2 (2016)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1270.194 KB) | DOI: 10.17529/jre.v12i2.3993

Abstract

Video piracy is the act of obtaining, copying, and selling or distributing videos that already had the copyright without the consent of the copyright owner. Watermarking is a process which embeds an additional information in the host video signal so that the embedded watermark cannot be seen and difficult to be erased or altered. Video watermarking in this journal used a mp4 format video and two different watermark images. Host video frames are divided into two equal lots, some of the frames are embedded by watermark image 1, and the others are embedded by watermark images 2. The methods used are Dual-Tree Complex Wavelet Transform (DTCWT) and Singular Value Decomposition (SVD). The two watermarks are embedded and extracted in each subband at a depth level 1 to level 4 DTCWT - SVD with the aim of seeking the best subband and the best level for embedding and extracting. In the extraction testing, watermarked video is given several attacks before extraction process. Based on the MOS and PSNR value the DTCWT-SVD level for embedding process is level 4, and based on the MOS and MSE value, the best extraction images are produced from the level 3. The best subband for embedding watermark are the subbands with three parts such as {1,5}{1,1}{1,2} and {1,5}{1,2}{1,2}.
Pengenalan Individu Berdasarkan Gait Menggunakan Sensor Giroskop Muhammad Satya Annas; Achmad Rizal; Ratri Dwi Atmaja
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.465 KB)

Abstract

Every persons have their own unique way of walking which is called gait. Gait can be used to identify a person. Gyroscope is a sensor used to detect vibration and measure acceleration based on direction or orientation. This paper presents an individual recognition based on gait using gyroscope sensor embedded in smartphone. The gait data is processed and analyzed by implementing Linear Predictive Coding (LPC) and k-Nearest Neighbour (k-NN). LPC is used to extract features from gait data. It produces feature vector based on combination of p-previous signal and takes only important value of the feature data. Then, k-NN is used for classification, using some calculation methods such as Euclidean, Cityblock, Cosine, and Correlation distance. The gait signals contain x,y,z axis and the signal magnitude. In this paper x,y,z axis and the signal magnitude are also combined to improve the accuracy. The highest accuracy of 99.58% is achieved using signal combination x-y-z-m. Overall, this person detection system produces accuracy between 50% to 99.58%.
Analisis dan Simulasi Video Watermarking Menggunakan Metode Dual Tree Complex Wavelet Transform (DT-CWT) dan Singular Value Decomposition (SVD) Arina Fadhilah; Bambang Hidayat; Ratri Dwi Atmaja
Jurnal Rekayasa Elektrika Vol 12, No 2 (2016)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v12i2.3993

Abstract

Video piracy is the act of obtaining, copying, and selling or distributing videos that already had the copyright without the consent of the copyright owner. Watermarking is a process which embeds an additional information in the host video signal so that the embedded watermark cannot be seen and difficult to be erased or altered. Video watermarking in this journal used a mp4 format video and two different watermark images. Host video frames are divided into two equal lots, some of the frames are embedded by watermark image 1, and the others are embedded by watermark images 2. The methods used are Dual-Tree Complex Wavelet Transform (DTCWT) and Singular Value Decomposition (SVD). The two watermarks are embedded and extracted in each subband at a depth level 1 to level 4 DTCWT - SVD with the aim of seeking the best subband and the best level for embedding and extracting. In the extraction testing, watermarked video is given several attacks before extraction process. Based on the MOS and PSNR value the DTCWT-SVD level for embedding process is level 4, and based on the MOS and MSE value, the best extraction images are produced from the level 3. The best subband for embedding watermark are the subbands with three parts such as {1,5}{1,1}{1,2} and {1,5}{1,2}{1,2}.
INSTALASI JARINGAN KOMPUTER DAN SERVER UNTUK MENYELENGGARAKAN SIMULASI DAN PELAKSANAAN UNBK BAGI SISWA KELAS XII T.A. 2018/2019 MA SALAFIYAH AL FALAH BANDUNG Atmaja, Ratri Dwi
Charity : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2020): Charity - Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v3i1.1905

Abstract

MA Salafiyah Al Falah merupakan sekolah yang berlokasi di Jalan Ciganitri Pertanian, Desa Lengkong, Kecamatan Bojongsoang, Kabupaten Bandung. Pada tahun 2019 MA Salafiyah terdaftar sebagai salah satu sekolah yang mengikuti Ujian Nasional Berbasis Komputer (UNBK). Untuk dapat mengikuti UNBK, sekolah diwajibkan memiliki infrastruktur yang memadai untuk menjamin suksesnya kegiatan pelaksanaan UNBK. Karena MA Salafiyah belum memiliki infrastruktur yang cukup maka kami membantu kegiatan tersebut sebagai bentuk pengabdian kepada masyarakat. Bentuk kegiatan berupa pelaksanaan Simulasi II UAMBN-BK, gladi bersih UAMBN-BK, gladi bersih UNBK, UAMBN-BK, dan UNBK. Kegiatan tersebut dilaksanakan di Laboratorium Pengolahan Sinyal Digital, Fakultas Teknik Elektro, Universitas Telkom. Peserta berjumlah 16 siswa kelas XII tahun ajaran 2018/2019. Untuk menyelenggarakan kegiatan tersebut, dibutuhkan 17 komputer (16 client dan 1 server) serta akses internet. Server berupa komputer dengan spesifikasi processor core i7, RAM 8 GB, dan HD 1 TB. Sesuai requirement pelaksanaan UNBK, yang disediakan akses internet hanyalah komputer server. Komputer server digunakan untuk mendownload soal ujian nasional dari server pusat Kementerian Agama dan mengupload hasil jawaban seluruh client (siswa) ke server pusat. Sedangkan antara komputer server dan komputer client menggunakan jaringan lokal.
Sistem Deteksi Cacat Kayu dengan Metode Deteksi Tepi SUSAN dan Ekstraksi Ciri Statistik WANANDA, PUTU DEBBY; NOVAMIZANTI, LEDYA; ATMAJA, RATRI DWI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 1: Published January 2018
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i1.140

Abstract

ABSTRAKKayu menjadi suatu bahan dasar untuk menghasilkan berbagai macam jenis produk olahan kayu. Untuk menghasilkan produk olahan kayu dengan kualitas tinggi, dengan ketahanan produk yang kuat, dan umur dari produk olahan kayu tersebut dapat bertahan lama maka diperlukan bahan dasar kayu yang berkualitas dalam artian tanpa cacat sebagai bahan dasarnya. Pada penelitian ini telah dirancang sebuah sistem pendeteksian kayu untuk mengklasifikasikan kayu normal (tanpa cacat) dan kayu rusak dengan metode deteksi tepi SUSAN dan ekstraksi ciri statistik orde kedua, dengan tingkat akurasi sebesar 90,67% dan waktu komputasi 2,5 detik. Sehingga mengurangi adanya human error dan efisiensi waktu dalam pensortiran. Parameter nilai threshold (t) = 0,1 pada metode deteksi tepi SUSAN, dan ciri angular second moment (ASM), correlation, variance, dan inverse different moment (IDM) pada metode ekstraksi ciri statistik orde kedua, memberikan hasil optimal dalam sistem ini.Kata kunci: cacat kayu, deteksi tepi SUSAN, ekstraksi ciri statistikABSTRACTWood becomes a basic material to produce various types of wood processing products. To produce high quality processed wood products, with robust product durability, and long life of the processed wood products can last a long time it takes quality wood base material in the sense without flaw as the basic material. In this research, we have designed a wood detection system to classify normal wood (without defects) and damaged wood with SUSAN edge detection method and second order statistic extraction with accuracy of 90.67% and computation time 2.5 seconds. Thus reducing human error and time efficiency in sorting. The threshold value parameter (t) = 0.1 on the SUSAN edge detection method, and angular second moment (ASM), correlation, variance, and inverse different moment (IDM) characteristics in second order statistical feature extraction methods, gives optimal results in this system.Keywords: wood defect, SUSAN edge detector, statistical feature extraction
Robust Watermarking Untuk Citra Medis Pada Domain Discrete Wavelet Transform Menggunakan Dekomposisi Matriks Dengan Particle Swarm Optimization Resandy, Refsi; Purnamasari, Rita; Atmaja, Ratri Dwi
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Teknik yang digunakan untuk melindungi hak cipta multimedia yaitu watermarking adalah proses penambahan informasi tambahan pada citra, video, atau audio untuk menjaga keamanan informasi. Citra medis dapat dikategorikan sebagai hak kekayaan intelektual, oleh karena itu perlu adanya perlindungan terhadap hak cipta dengan menggunakan watermark, yang dikenal sebagai copyright watermark. Metode robust watermarking dapat diaplikasikan untuk keperluan copyright karena memiliki sifat yang kokoh terhadap berbagai serangan. Artinya, watermark masih dapat dikenali dan diekstraksi meskipun citra ber-watermark mengalami serangan. Skema robust watermarking harus memiliki imperseptibilitas dan ketahanan yang baik, namun sering terjadi trade-off antara keduanya. Artinya semakin tinggi imperseptibilitas, semakin rendah ketahanan atau sebaliknya. Pada penelitian ini diusulkan metode watermarking citra pada domain transformasi Discrete Wavelet Transform dan dekomposisi matriks Hessenberg dan Singular Value Decomposition pada sub-band LL (low-low) dengan optimasi Particle Swarm Optimization. Hasil analisis skema watermarking untuk citra medis menunjukkan kualitas imperseptibilitas yang baik dengan nilai PSNR tertinggi 49,8469 dB dan SSIM lebih tinggi dari 0.98. Evaluasi menggunakan parameter NC menunjukan ketahanan skema terhadap serangan noise, kompresi, filter, sharpening dan beberapa serangan geometri seperti rotasi dan rescale. Kata kunci: Watermarking, Robust Watermarking, DWT, SVD, HD, PSO.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Rizal Adri Achmad Farhan Agung Adinegoro Aldi Andika Pratama Andi Paramata Andria Puja Pratama Annas, Muhammad Satya Ardyandrea Erstya Surya Arif Setiawan Arina Fadhilah Armanda Nur Fadhlillah Ayu Putu Wida Vanhita Ayudina, Nasya Azhar, Tauhid Nur Azizah Azizah AZIZAH AZIZAH Bambang Hidayat Brillian Bagus Pakerti Utama Dayan Aldina Desy Agustin Doanda Khabi Putra Dyah Norma Maharsi Eko Susatio Erwin Susanto Faisal Nur Achsani Fiky Y. Suratman Firda Masitha Fransiskus Firdyan Laia Gelar Budiman Gurnita Koncara Indraloka Gusty Aditya Arrazaq Hafizh Saftian Hendra Priyana Mirantika Hilman Fauzi, Hilman I Gusti Putu Agung Satria Bayu Mahendra I Nyoman Apraz Ramatryana Igun Gunawan Immanuel Rayuzi Pandapotan Sinaga Inung Widjayanto Inung Wijayanto Irma Safitri Ivan Favian Iwan Iwut Jhordy Reswandi Junartho Halomoan Laksono Adi Cahyo Fitro Ledya Novamizanti Listhyani Dhianira Sarie Maghfira Rifki Hariadi Mohammad Fadly Sulianto Muhammad Ary Murti Muhammad Baresi Ariel Muhammad Najiburahman Muhammad Panji Kusuma Praja Muhammad Satya Annas Nadya Noviade Sapitri Nirwana Sari Novia Inggrit Dewiayu Santikasari Nur Andini Ocky Tiaramukti Porman Pangaribuan Pradipta Bagoes Santoso Putri Andriani Putu Cinthia Wikessa R. Yunendah Nur Fu’adah Rahman, Fadlur Rais Zul Ihram Ramli Ranggi Sistama Rani Harnila Regha Julian Pradhana Resandy, Refsi Ridho Aryan Ramadhan Rita Magdalena Rita Purnamasari Robinzon Pakpahan Santy Fauziyah SATRIA, FAJRI EKA Siti Nur Fatihah SOFIA SAIDAH Suci Aulia Taufik Prima Nugraha Teuku Firaz Bintang Nusantara Unang Sunarya Viko Adi Rahmawan WANANDA, PUTU DEBBY Yohana Karina Candra Sari