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Evaluasi Keamanan Akses Jaringan Komputer Nirkabel (Kasus : Kantor Pusat Fakultas Teknik Universitas Gadjah Mada) Ida Bagus Verry Hendrawan Manuaba; Risanuri Hidayat; Sri Suning Kusumawardani
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 1: Februari 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.51 KB) | DOI: 10.22146/jnteti.v1i1.3

Abstract

The growth of current wireless networks has increased rapidly. The growth of information technology and telecommunications technology requires interoperability, joint regulation and various solutions to solve the increasingly complex problems, such as computer network security issues on wireless networks. An evaluation is needed to maintain and re-assess the stability of the network to remain adequate. This research resulted a model as a result of evaluation that can be used as a useful recommendations to improve the security of a wireless computer network access which affects the performance on the network at the Headquarters of Engineering Faculty of Gadjah Mada University.
Reduksi Peak to Average Power Ratio (PAPR) Menggunakan Teknik Clipping Muhammad Fitrah Sugita; Risanuri Hidayat; Sri Suning Kusumawardani
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 1: Februari 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.398 KB) | DOI: 10.22146/jnteti.v1i1.9

Abstract

Frequency Division Multiplexing (OFDM) has aweakness that lies at the high power variation. Power variationis stated in peak-to-avarage power ratio (PAPR). PAPR is the ratio between the maximum and average power of OFDM signal at the certain time frame. High PAPR value will result in nonlinear distortion when operating on non linear devices such as high power amplifier (HPA). Therefore, it is necessary to find way to reduce PAPR value. In this paper, we used PAPR reduction simulation using clipping techniques. PAPR reduction is done by clipping of the output signal of IFFT block which has a PAPR value exceeds the clipping level clipping value is determined by the ratio of the test using the clipping ratio is 0.8 and 1.4. Clipping provides complimentary cumulative effect of improving the quality of the distribution function (CCDF) and decreased quality of Bit Error Rate (BER). Finally, the smaller the value of the clipping ratio CCDF quality improvement will be higher and the BER degradation will be even greater.
The Radio Frequency Source Position Finder Based on The Triangle-Centroid-Algorithm Samuel Kristiyana; Adhi Susanto; Sunarno Sunarno; Risanuri Hidayat
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 1 (2017): March 2017
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1088.144 KB) | DOI: 10.22146/ijitee.25140

Abstract

Radio Direction Finder (RDF) had been used as a part of the system in order to  determine the direction of the Radio Frequency (RF) source. This research had used  three different RDF stations without any mobile human operator. The direction data were collected from the each RDF station, it would be calculated using the triangle-centroid-algorithm. Therefore, the RF source position had been automatically determined. This experiment result of the RF source imaginary was compared with the real RF source at about 3.2 meters for latitude, and 3.3 meters for longitude. The results of this method and experiment are very useful for scientist and engineers in application of RF engineering.
Improving Phoneme to Viseme Mapping for Indonesian Language Anung Rachman; Risanuri Hidayat; Hanung Adi Nugroho
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 1 (2020): March 2020
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.47577

Abstract

The lip synchronization technology of animation can run automatically through the phoneme-to-viseme map. Since the complexity of facial muscles causes the shape of the mouth to vary greatly, phoneme-to-viseme mapping always has challenging problems. One of them is the allophone vowel problem. The resemblance makes many researchers clustering them into one class. This paper discusses the certainty of allophone vowels as a variable of the phoneme-to-viseme map. Vowel allophones pre-processing as a proposed method is carried out through formant frequency feature extraction methods and then compared by t-test to find out the significance of the difference. The results of pre-processing are then used to reference the initial data when building phoneme-to-viseme maps. This research was conducted on maps and allophones of the Indonesian language. Maps that have been built are then compared with other maps using the HMM method in the value of word correctness and accuracy. The results show that viseme mapping preceded by allophonic pre-processing makes map performance more accurate when compared to other maps.
Real-Time Indonesian Language Speech Recognition with MFCC Algorithms and Python-Based SVM Wening Mustikarini; Risanuri Hidayat; Agus Bejo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 2 (2019): June 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.978 KB) | DOI: 10.22146/ijitee.49426

Abstract

Abstract — Automatic Speech Recognition (ASR) is a technology that uses machines to process and recognize human voice. One way to increase recognition rate is to use a model of language you want to recognize. In this paper, a speech recognition application is introduced to recognize words "atas" (up), "bawah" (down), "kanan" (right), and "kiri" (left). This research used 400 samples of speech data, 75 samples from each word for training data and 25 samples for each word for test data. This speech recognition system was designed using Mel Frequency Cepstral Coefficient (MFCC) as many as 13 coefficients as features and Support Vector Machine (SVM) as identifiers. The system was tested with linear kernels and RBF, various cost values, and three sample sizes (n = 25, 75, 50). The best average accuracy value was obtained from SVM using linear kernels, a cost value of 100 and a data set consisted of 75 samples from each class. During the training phase, the system showed a f1-score (trade-off value between precision and recall) of 80% for the word "atas", 86% for the word "bawah", 81% for the word "kanan", and 100% for the word "kiri". Whereas by using 25 new samples per class for system testing phase, the f1-score was 76% for the "atas" class, 54% for the "bawah" class, 44% for the "kanan" class, and 100% for the "kiri" class.
A High-Frequency Surface Wave Radar Simulation Using FMCW Technique for Ship Detection Ahmad Nugroho Jati; Ahmad Fauzi Haqqoni; Iswandi Iswandi; Risanuri Hidayat
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 1 (2020): March 2020
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.56344

Abstract

Indonesia is an archipelagic country with a vast sea area. This vast sea area becomes a challenge in conducting regional surveillance to maintain maritime conditions. The use of buoys and satellites still has shortcomings in carrying out surveillance despite its excellent surveillance capabilities. A high-frequency radar technology with 3-30 MHz frequency and surface wave propagation are very suitable because it has a radar range that can cross the horizon or commonly refer to as Over the Horizon (OTH). The Frequency Modulated Continuous Wave (FMCW) technique on this radar obtains distance and velocity information by a continuously transmitted frequency modulation. The use of radar in Indonesia for marine surveillance is still infrequent. Therefore, it is relatively difficult to conduct testing and obtain data. In addition, the direct examination requires extended time, so a simulation program is needed. This paper discusses the design of a High-Frequency Surface Wave Radar (HFSWR) simulation program using FMCW modulation technique. The simulation program detected two objects based on time delays due to the distance and velocity of the object with a maximum range of 350 km. It displayed the results in an informative manner. The object detection was based on the results of the Fast Fourier Transform (FFT) from the mixed signals. The mixed signal is a combination of transmitted signal and reflected signal in which there are time delay components due to the object. The simulation program had been tested with input values of distance and velocity that vary, both for one object and two objects, in the radial direction. It generated output that was close to the input value with a level of accuracy of ± 2 km.
Comparison of Multiscale Entropy for Lung Sound Classification Achmad Rizal; Risanuri Hidayat; Hanung Adi Nugroho
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp984-994

Abstract

Lung sound is a biological signal that can be used to determine the health level of the respiratory tract. Various digital signal processing techniques have been developed for automatic classification of lung sounds. Entropy is one of the parameters used to measure the biomedical signal complexity. Multiscale entropy is introduced to measure the entropy of a signal at a particular scale range. Over time, various multiscale entropy techniques have been proposed to measure the complexity of biological signals and other physical signals. In this paper, some multiscale entropy techniques for lung sound classification are compared. The result of the comparison indicates that the Multiscale Permutation Entropy (MPE) produces the highest accuracy of 97.98% for five lung sound datasets. The result was achieved for the scale 1-10 producing ten features for each lung sound data. This result is better than other seven entropies. Multiscale entropy analysis can improve the accuracy of lung sound classification without requiring any features other than entropy.
Hand Gesture Optimization Using Structure From Motion Muhammad Sonnie Bestian; Risanuri Hidayat; I Wayan Mustika
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.775 KB) | DOI: 10.25037/pancaran.v7i2.172

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Utilization human body with unique way to distinguish between one person and another already widely used in research. Biometric is a method for recognizing humans based on one or more physical characteristics or unique behaviors. Many previous researches of hand gestures used to control devices and identification. In This paper, we discusses the use of structure from motion method for optimization hand gesture. Structure from Motion ( SFM ) is the process to estimating the structure of 3-D shape from the series of 2-D images. The goal is to estimate the pose of the camera calibration results bits of the image to be reconstructed into a 3-D structure, from the scene and the scale factor is not known, then recover the actual scale factor by displaying an object of known size. The results from the trial by reconstructing four (4) drawing hand pieces and matched by detecting a hand gesture (3-D), from the stage of the process generated frame 2 + 3: match rate slightly (0) => relax SIFT threshold to 0.7 to 0 matches => SIFT relax the threshold to 0.8 with 2 matches => SIFT relax the threshold to 0.9 with 18 matches => SIFT relax threshold to 0.95 with 42 matches. From the test results obtained by the degree of fit pieces of the picture (2-D) to the whole image (3-D) resulted in 53,85% accuracy value.
Lung sound classification using multiresolution Higuchi fractal dimension measurement Achmad Rizal; Risanuri Hidayat; Hanung Adi Nugroho; Willy Anugrah Cahyadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5091-5100

Abstract

Lung sound is one indicator of abnormalities in the lungs and respiratory tract. Research for automatic lung sound classification has become one of the interests for researchers because lung disease is one of the diseases with the most sufferers in the world. The use of lung sounds as a source of information because of the ease in data acquisition and auscultation is a standard method in examining pulmonary function. This study simulated the potential use of Higuchi fractal dimension (HFD) as a feature extraction method for lung sound classification. HFD calculations were run on a series of k values to generate some HFD values as features. According to the simulation results, the proposed method could produce an accuracy of up to 97.98% for five classes of lung sound data. The results also suggested that the shift in HFD values over the selection of a time interval k can be used for lung sound classification.
PERANCANGAN APLIKASI VIDEO CONFERENCE UNTUK BIMBINGAN TUGAS AKHIR Sampebua, Mingsep; Nugroho, Lukito E.; Istiyanto, Jazi E.; Hidayat, Risanuri
INOTEKS: Jurnal Inovasi Ilmu Pengetahuan,Teknologi, dan Seni Vol 15, No 1 (2011)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1603.531 KB) | DOI: 10.21831/ino.v15i1.2301

Abstract

Video conference application to long distance guidance is a real time communication application service used to organizes consultation conference in Internet. The online consultation application can support text communication, face-to-face communication, dialogue-based communication, and sharing se- minar material presentation. The design of the online consultation application program consists of three parts,  which  are  a server  application program,  a lecturer application program and a student application program. The importance of the real time communication in organizing online consultation system is its capability to create virtual environment (Internet) as a replication of real world communication, because it supports text communi- cation, file presentation, face-to-face communication and direct dialogue between participants. The  face-to-face  communication  and  direct  dialogue  can  create  a dynamic interaction environment, because participants can interact face-to-face, directly talk to each other, obtain feedback, present physical reaction of other participants, and chatting using text communication. It become a solution to the problem of distance and time for meeting activities of two or more individuals using internet. The result of the research are sequence diagram and class diagram de- sign. Sequence diagram is used to representation communication scenario. Class diagram  is  used  to  representation  communication  functions.  That  contains group functions and rules/processes necessary in communication. The classes formed in the class diagram design are directly used as object classes at im- plementation level in the form of online consultation application program code