Claim Missing Document
Check
Articles

Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm Ledya Novamizanti; Gelar Budiman; Irma Safitri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10111

Abstract

Ease process digital data information exchange impact on the increase in cases of copyright infringement. Audio watermarking is one solution in providing protection for the owner of the work. This research aims to optimize the insertion parameters on Modified Discrete Cosine Transform (M-DCT) based audio watermarking using a genetic algorithm, to produce better audio resistance. MDCT is applied after reading host audio, then embedding in MDCT domain is applied by Quantization Index Modulation (QIM) technique. Insertion within the MDCT domain is capable of generating a high imperceptible watermarked audio due to its overlapping frame system. The system is optimized using genetic algorithms to improve the value of imperceptibility and robustness in audio watermarking. In this research, the average SNR reaches 20 dB, and ODG reaches -0.062. The subjective quality testing on the system obtains an average MOS of 4.22 out of five songs tested. In addition, the system is able to withstand several attacks. The use of M-DCT in audio watermaking is capable of producing excellent imperceptibility and better watermark robustness.
PERBAIKAN DETEKSI WATERMARK MENGGUNAKAN EKSTRAKSI FITUR BENTUK PADA AUDIO WATERMARKING BERBASISKAN TEKNIK DWT-SVD-QIM PADA SEGMEN AUDIO ADAPTIF Nugraeni Kholifaturrofiah; Gelar Budiman; Syamsul Rizal
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol 5, No 1 (2021): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v5i1.4913

Abstract

Di era globalisasi saat ini lebih mudah untuk mengakses informasi melalui berbagai media. Sehingga banyak ditemukan kasus pelanggaran hak cipta. Penelitian ini menjadi salah satu solusi untuk mengatasi permasalahan tersebut yaitu dengan mengaplikasikan teknik watermarking. Pada penelitian ini dilakukan perbaikan tingkat akurasi deteksi watermark dengan menggunakan ekstraksi fitur bentuk untuk mengekstrak informasi dari suatu audio sehingga hak cipta dari data digital dapat terlindungi dari pihak-pihak yang menyalahgunakannya. Metode yang digunakan pada Tugas Akhir ini yaitu Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), dan Quantization Index Modulation (QIM). Hasil yang diperoleh menunjukkan kualitas watermark ketika dilakukan pengujian dengan menggunakan parameter SNR, ODG dan MOS. ODG bernilai -0.02, SNR bernilai 33.20 dB, untuk rata-rata MOS tertinggi bernilai 4.60 dan besar kapasitas (C)  bernilai 215.72 bps. Ketahanan watermark (BER) rata-rata terkecil bernilai 22% dan tingkat akurasi deteksi watermark (CDR) rata-rata tertinggi sebesar 71%.
ANALISIS KINERJA TEKNOLOGI AUGMENTED REALITY BERDASARKAN FITUR ALAMI DALAM TARGET GAMBAR Liyana Faiza; Suryo Adhi Wibowo; Gelar Budiman
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol 5, No 1 (2021): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v5i1.4919

Abstract

Seiring dengan perkembangan zaman, teknologi semakin dikembangkan secara inovatif dan kreatif. Salah satunya adalah Augmented Realty (AR). AR merupakan terobosan teknologi yang dapat memunculkan objek virtual ke dalam dunia nyata. AR terus dikembangkan dengan menggunakan metode markerless, saat ini AR ini tidak lagi menggunakan penada khusus hitam berlatar putih. AR dapat diterapkan di berbagi bidang contohnya di bidang industri film. Penelitian ini berfokus dalam menganalisis kinerja AR dengan metode Natural Fetaure Tracking berbasis FAST Corner Detection dan Vuforia sebagai software enginenya yang diimplementasikan pada android, sehingga pengguna dapat memindai suatu target berupa gambar poster film untuk mendapatkan informasi berupa video trailer. Untuk menganalisis kinerja teknologi AR tersebut, maka dilakukan pengujian dengan parameter berupa jarak, sudut kamera, ukuran target, dan kondisi target dengan membandingkan akurasi jumlah kecocokan keypoints yang terdeteksi. Sistem berhasil diimplementasikan dengan hasil akurasi sistem sebesar 79% dan akurasi keypoints sebesar 42% berdasarkan pengujian kondisi target.
Perancangan Codec Berbasis Algoritma Kompresi H.264 untuk Aplikasi Konferensi Video Fairuz Azmi; Budhi Irawan; Gelar Budiman
Jurnal SIFO Mikroskil Vol 17, No 1 (2016): JSM Volume 17 Nomor 1 Tahun 2016
Publisher : Fakultas Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.229 KB) | DOI: 10.55601/jsm.v17i1.262

Abstract

Dewasa ini, banyak aplikasi yang dibuat dengan melibatkan fitur multimedia. Salah satu aplikasi tersebut adalah aplikasi konferensi, yaitu komunikasi yang dilakukan oleh suatu group yang terhubung pada suatu jaringan dengan setiap anggota group dapat saling melihat anggota yang lain melaluifasilitas video yang direkam menggunakan sebuah piranti webcam. Dalam komunikasi video, dibutuhkan bandwidth yang cukup besar karena ukuran data video yang jauh lebih besar dibandingkan data suara. Untuk menyiasati hal tersebut, maka dilakukan kompresi pada video sebelum ditransmisikan. Dengan adanya kompresi, maka ukuran data video yang akan ditransmisikan menjadi lebih kecil sehingga dapat menghemat bandwidth saat transmisi data berlangsung. Dalam penelitian ini dirancang codec yang mengadopsi standar kompresi video H.264. Selanjutnya dianalisis kualitas video hasil kompresi meliputi : rasio kompresi, Peak Signal-to-Noise Ratio (PSNR), dan Mean Opinion Score (MOS). Selain itu, juga dianalisis pengaruh kompresi video terhadap kinerja aplikasi konferensi video. Dari hasil penelitian yang dilakukan, didapatkan hasil bahwa dengan adanya kompresi H.264 menghasilkan bitrate video yang rendah dengan penurunan mencapai 98.7% (1:77) hingga 99.52%(1:208) dengan PSNR minimal 30,90 dB.
ANALISIS AUDIO WATERMARKING MENGGUNAKAN METODE DISCRETE COSINE TRANSFORM DENGAN PENGKODEAN BCH Irfan Dwi Pratama; Gelar Budiman; Nyoman Apraz Ramatryana
PROSIDING SEMINAR NASIONAL CENDEKIAWAN Prosiding Seminar Nasional Cendekiawan 2016
Publisher : Lembaga Penelitian Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/semnas.v0i0.885

Abstract

Produk digital seperti audio, image ataupun film merupakan karya intelektual yang dilindungi dan memiliki hak cipta. Banyaknya penggandaan dan klaim atas produk digital tersebut mengakibatkan pemegang hak cipta yang sebenarnya akan dirugikan. Salah satu cara untuk melindungi kepemilikan produk digital adalah dengan menyisipkan atau menyembunyikan suatu informasi, misal data pemilik hak cipta, kedalam produk digital tersebut atau yang disebut dengan digitalwatermarking. AudioWatermarking adalah suatu teknik menyisipkan atau menyembunyikan suatu informasikedalam suatu file audio. Pada penelitian ini menerapkan metode Discrete Cosine TransformsertaBCH code sebagai pengoreksi error. Sistem menghasilkan capacity yang besar yaitu 700 bps-2 kbps, perceptual quality yang cukup baik (SDG> 3.85 dan 25 dB < SNR < 56 dB) sertarobustness yang baik terhadap beberapa serangan yang umumseperti kompresi MP3, Noise, Echo dll.
IMPLEMENTATION OF QIM BASED AUDIO WATERMARKING USING HYBRID TRANSFORM OF SWT-DCT-SVD METHODS OPTIMIZED WITH GENETIC ALORITHM Ryan Aminullah; Gelar Budiman; Irma Safitri
TEKTRIKA Vol 2 No 1 (2017): TEKTRIKA Vol.2 No.1 2017
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v2i1.1661

Abstract

Nowadays, almost all data transaction is done through the internet because it is easy and could be accessed anywhere. The file is uploaded directly without any security or scanning making people able to upload illegal files or files that is not owned by them. This violation of copyright becomes a huge problem as it reduces the owner’s profit. That is why watermarking method is created. Watermarking is a method of embedding secret information to a host data. The information could be embedded into an audio, image or video data. This research will design an audio watermarking by combining 3 methods of transformation: Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD). SWT separates data’s frequency into high and low. After that, DCT maps correlated high frequency data into uncorrelated coefficient. Then those coefficients will be deconstructed into three matrices u, s, and v using SVD method. Later, the s matric will be embedded with the watermark. With these methods, watermarked audio produce SNR>20dB and BER≈0,1170 in average.
IbM for increasing youth work productivity in Bojongsari Village Gelar Budiman; Muhammad Iqbal; Astry Novianty
Berdikari: Jurnal Pengabdian Masyarakat Indonesia Vol. 1 No. 1 (2018): Berdikari: Jurnal Pengabdian Masyarakat Indonesia
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.635 KB) | DOI: 10.11594/bjpmi.01.01.05

Abstract

Bojongsari Village (Bojongsoang District) is a village located in Bandung regency. The village has a low Human Development Index (HDI). The village has a high open unemployment rate. The village of Bojongsari has a relatively low growth rate of living eligibility (based on data obtained from Bojongsari village). The training for the youths of Karang Taruna in the village of Bojongsari, especially for those who still do not get a job is a solution offered in order to reduce the number of open and underemployed unemployment in the region. The trainings that have been carried out include enhancing the ability to use computers, office applications (word, excel, and powerpoint), and Windows applications and networks in both villages. It is expected that with this training, unemployment will decrease and increase the HDI of both villages. The implementation of community service is evaluated monthly and a roadmap has been developed to improve the HDI of these two villages as a model for other villages in Bandung regency.
Generating Information of URL Based on Web Scraping Using YOLOv3 Face Recognition Technology Lulud Annisa Ainun Mahmuddah; Suryo Adhi Wibowo; Gelar Budiman
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.3910

Abstract

Artificial Intelligence (AI) is a system developed to learn and apply human intelligence. Some technologies produced from the development of Al are face recognition and web scraping. Face recognition is used for identifying or verifying the identity of an individual using their face. The result of a face recognition process can be used to collect information on the internet with a web scraping technique. This paper proposes a face recognition model and web scraping system using You Only Look Once (YOLO) object detection method and Request library written in Python. The face recognition model performed fine-tuning in two hyperparameters, which are learning rate and step training. The proposed model for face recognition is using custom datasets that contain 8000 images divided into 5 classes and evaluated using the Mean Average Precision (mAP) performance parameter, while the web scraping system is evaluated using the precision rate parameter. From the test results, the best configuration was obtained at a learning rate of 0.0001 and step training of 10K. The highest mAP that is achieved is 0.90 with a recall and precision value of 0.75 for each, while the average precision rate is 0.87. The results of this paper are expected to contribute to the development of biometric security technology.
Optimization of Discrete Cosine Transform-Based Image Watermarking by Genetics Algorithm Iwan Iwut; Gelar Budiman; Ledya Novamizanti
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 1: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i1.pp91-103

Abstract

data in an image file is needed by its owner to set his ownership in a logo as a watermark embedded in the image file. Hiding the logo in the image was done in several methods. One of the method is domain transform using 2D-DCT in which data is embedded in  frequency domain of the image. First, the host RGB image is converted to certain color space. The available and chosen color spaces are RGB, YCbCr or NTSC. The layer in which the watermark is embedded also can be selected. The available choices are 1st layer, 2nd layer, 3rd layer, 1st & 2nd layer, 2nd & 3rd  layer, 1st & 3rd layer and all layers.  After the selected layer of image in certain color space is transformed in block based to frequency domain by DCT, one bit watermark is embedded on the AC coefficient of each block such a way that the bit is represented by specific value called delta in a zigzag and vary length of pixel. The vary parameters optimized by Genetics Algorithm are  selected color space, selected layer, block size, length of pixel to be embedded by one bit watermark, and delta. Bit “1” is represented by +delta, and bit “0” is represented by –delta in vary length of pixel after zigzag. The simulation result performs that GA is useful to search the value of parameter that produces controllable the combination between robustness, invisibility and capacity. Thus, GA improves the  method by determining the exact value of parameter achieving BER, PSNR and payload.  
WORKSHOP IMPLEMENTASI SISTEM MONITORING DAN KENDALI KUALITAS AIR PADA MEDIA TANAM AQUAPONIK MENGGUNAKAN GAWAI Indrarini Dyah Irawati; Dadan Nur Ramadan; Sugondo Hadiyoso; Rita Purnamasari; Gelar Budiman; Nurwan Reza Fachrurrozi; Yudiansyah Yudiansyah; Syifa Nurgaida Yutia; Sasmi Hidayatullah Yulianing Tyas; Siti Zahrotul Fajriyah
Jurnal Abdi Insani Vol 10 No 1 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i1.805

Abstract

The industrial revolution 4.0 greatly impacts the learning curriculum, especially at the vocational and higher education levels. They are required to play an active role in the success and acceleration of the implementation of industry 4.0. Higher Education becomes a kind of place for preparation or training for human resources (HR) to provide skills that are directly related to the application and development of applications that support industry 4.0. In order to support the government's efforts, the community service team at Telkom University and the Telkom Jakarta Institute of Technology actively participated in collaborating with SMK Nagrak Purwakarta. This community service focuses on bridging productivity between departments in Nagrak Vocational School such as the Food Crops and Horticulture Agribusiness (ATPH) department and the network computer engineering department (TKJ) so as to produce the right cultivation, namely Internet of Things (IoT) based aquaponics. This activity consists of making modules and video tutorials for students and teachers, designing sensors and devices, and making monitoring applications on smartphones to monitor aquaponic plants. The sensor designed consists of a PH detection sensor in the air and an oxygen sensor installed in the school's aquaponics garden. The students and teachers were enthusiastic in participating in workshops regarding IoT materials. Not only getting material, students and teachers then do direct practice to make aquaponics and monitor temperature. Based on a survey of the results of this community service implementation, teachers and students are very satisfied and enthusiastic about and hope that community service activities can be carried out on an ongoing basis.
Co-Authors A. V. Senthil Kumar Adyansyah, Ilham Alfian Ghifari Alif, Menara Allisha Septariani Ahmad Amini, Siti Aisyah Anggi Tiovany Siregar Anjar Priyatna Annida, Nurafifah Ardhiah, Aulia Arfidianti Kartika Meiza Putri Arining Pangestu Astry Novianty Aulia Wibowo Azizah Azizah Bambang Hidayat Bambang Hidayat Basudewa, Muhammad Imansyah Bayu Angga Medica Firmanda Budhi Irawan Budi Setiadi Chairunisa, Difa Cindy Angelista Deltika Dadan Nur Ramadan Daniel Gilbert Bismark Dimarta, Rafli Caesario Dimata, Rafli Caesario Doan Perdana Elsa Nur Fitri Astuti Elsa Nur Fitri Astuti Fadhlan Putra Fairuz Azmi Fajar Wahyu Satrianto Fakhrezi, Alfian Fardan Fardan Faza, Lulu Balqis Zianka Fellia Rizki Kusumowardani Fikri Adhanadi Fityanul Akhyar Fonizza Popy Wijaya Gella Aradea Putri Ghilman Hafizhan Gogi Gautama Al Hadiid Hafiz Adriansyah HANNAN HARAHAP, HANNAN Hanum, Mirza Alifia Hengki Setiadi Hilman Fauzi, Hilman I G A M Wibhu Cadu Asrawan I Nyoman Apraz Ramatryana Ifan Fadlina Anhar Ignatius, Daniel Tulus Iman Hedi Santoso Indrarini Diah Irawati Indrarini Dyah Irawati Intan Shafinaz Rahmatika Inung Wijayanto Irfan Dwi Pratama Irma Safitri Iwan Iwut Iwan Iwut Tritoasmoro Jamhari Jamhari Jangkung Raharjo Jaya, M. Izham Kadek Suryadharma KHAERUDIN SALEH Khoirul Anwar KHOIRUL ANWAR Kris Sujatmoko Ledya Novamizanti Ledya Novamizanti Liyana Faiza Lulud Annisa Ainun Mahmuddah Lutvi Murdiansyah Murdiansyah M Fauzan Rindra P M. Faiz Nashrullah Mahanani, Edo Lutfi Maidin, Siti Sarah Marissa Kezia Maghein Meiza Putri, Arfidianti Kartika Melati Wahyutami Mochamad Erkki Svante Nyfors Mochamad Reyhand Landrenzy Zulfikar Mohamad Iqbal Mohammad Bisma Rezady Mohammad Fadly Sulianto Mona Renasari Muhammad Alif Rizqi Hatmadiansyah Muhammad Aprianda Rahmadi Muhammad Iqbal Muhammad Iqbal Rabbani Muhammad, Zalfa Alif Nainggolan , Edo Ardo Febrian Najmi Aqilah Mamur Tanjung Naufal Reza Alfiandy Novialdy Nugroho Santoso Nugraeni Kholifaturrofiah Nur Andini Nur Ibrahim Nurbani Yusuf Nurwan Reza Fachrurrozi Nydia Amelinda Putri Nyoman Apraz Ramatryana Paradila I., Dela Parameswara, Prastama Agung Yusuf Pasaribu, Novalanza Grecea Permana, Rangga Aditia Prasetyo, Muhammad Putra, Afi Athallah Syamsulhadi Putri, Gisky Rahmada Putri, Reyhani Lian R. Yunendah Nur Fu’adah Raditiana Patmasari Rahadian Lintang Sinuryo Rahmawati, Aulya Ramadhan Prasetya Dahlan Ramadhani, Shinta RAMATRYANA, I NYOMAN APRAZ Ratri Dwi Atmaja Refika Oktaviani Reformatio, Fairoez Nauval Renasari, Mona RENDRAGRAHA, RENDY DWI RENDRAGRAHA, RENDY DWI Rendy Pratama Yuda Reyhani Lian Putri Rita Purnamasari Rolasris Rolasris Roma Aji Kaloko, Roma Aji Rustam Rustam Ryan Aminullah Ryan Anggara Saddan Hussein Sari, Rina Media Sasmi Hidayatul Yulianing Tyas Sa’idah, Sofia Sebastian Danny Adviatmadja Sholichatur Rizkiyah Sholih, Ghinan Muhammad SIREGAR, RIZKY DAMARJATI SIREGAR, RIZKY DAMARJATI Siti Zahrotul Fajriyah Sofia Sa’idah SOFIA SAIDAH Suci Aulia Sugondo Hadiyoso Sulistyowati, Syifa Dwi Suryo Adhi Wibowo Syamsul Rizal Syarahbil Pawellang Syifa Maliah Rachmawati Syifa Nurgaida Yutia Tita Haryanti Triasari, Biyantika Emili Unang Sunarya Wahidin Wahidin WIBOWO, BHISMA ADI Wulanda, Ghea Aldama Yoga Sanjaya Purba Yudiansyah Yudiansyah Yugnan Adi Sasongko YULI SUN HARIYANI Yulinda Eliskar Zhao, Zhong