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MFCC DAN KNN UNTUK PENGENALAN SUARA ARTIKULASI P Anggoro, Akhmad; Herdjunanto, Samiadji; Hidayat, Risanuri
AVITEC Vol 2, No 1 (2020): Februari 2020
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v2i1.605

Abstract

Cleft lip and palate (CLP) is a term for patients who experience speech organ disorders, that disorder is caused by a gap found in the lip or palate. Patients will experience speech problems. Pattern recognition in CLP sound is still small in Indonesia. In this research in the language identification of CLP and standard sound patterns using the extraction of the Mel Frequency Cepstral Coefficients (MFCC) feature with K-Nearest Neighbor (KNN) classification and K-Fold cross-validation. By making words that have the letter /p/ as a reference, known as bilabial. The words used include Paku, Kapak, and Atap. The accuracy of recognition results reached more than 69%, with a minimum accuracy of 41%.
Pemampatan Intraframe pada Citra Sekuensial Menggunakan Gelombang Singkat Biorthogonal Joko Santoso, Albertus; Edi Nugroho, Lukito; Bayu Suparta, Gede; Hidayat, Risanuri
Jurnal Buana Informatika Vol 3, No 1 (2012): Jurnal Buana Informatika Volume 3 Nomor 1 Januari 2012
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v3i1.315

Abstract

Abstract. In the sequential image compression process there are two compression processes known as intraframe and interframe compressions. This paper focuses on intraframe compression on an image sequence by using the 14 Biorthogonal wavelet. Intraframe compression utilizes spatial redundancy within a frame. This happens because there is a correlation between a pixel with its neighboring pixels. This research uses different changes between frames in sequential images by moving the camera, and shifting objects in the middle. Then each sequential image is tested by using the 14 Biorthogonal wavelet toward its PSNR and compression ratio (%). The results of  the research can be concluded that the Biorthogonal 2.4 has the highest PSNR. As for the compression ratio, they show that the Biorthogonal 3.1 produces the highest compression ratio (%).Keywords: Sequential image, intraframe compression, compression ratio, PSNR, wavelet Abstrak. Pada citra sekuensial dikenal dua proses pemampatan yaitu pemampatan intraframe dan pemampatan interframe. Pada makalah ini lebih difokuskan pada pemampatan intraframe dari suatu citra sekuensial yang menggunakan 14 wavelet Biorthogonal. Pemampatan intraframe memanfaatkan redundansi spasial yang terdapat dalam suatu bingkai. Hal ini disebabkan karena adanya korelasi antara sebuah piksel dengan piksel di sekitarnya. Penelitian ini menggunakan perubahan antar bingkai pada citra sekuensial, yaitu kamera yang bergerak dan obyek di tengah bergerak. Kemudian setiap citra sekuensial diuji dengan 14 wavelet biorthogonal terhadap PSNR dan prosentase rasio kompresinya. Dari hasil penelitian dan pembahasan dapat ditarik beberapa kesimpulan, yaitu pada pemampatan intraframe wavelet Biorthogonal 2.4 menghasilkan PSNR tertinggi. Sedangkan untuk porsentase rasio kompresi terlihat bahwa Biorthogonal 3.1 menghasilkan rasio kompresi tertinggi.Kata Kunci: citra sekuensial, pemampatan intraframe, prosentase rasio kompresi, PSNR, gelombang singkat
Analysis of the Indonesian Vowel /e/ For Lip Synchronization Animation Rachman, Anung; Hidayat, Risanuri; Nugroho, Hanung Adi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (780.062 KB) | DOI: 10.11591/eecsi.v4.1035

Abstract

Currently, voice recognition technology is widely used to produce lip sync animation. Vowels take the most dominant roles for lip sync animation as it always exists in every syllable. Therefore, it is necessary to select appropriate vowel traits for the system to be accurate. In general, there are five vowels of Indonesian language, namely /a/ /i/ /u/ /e/ and /o/. However, there are two vowels that contain several different tones: /o/ that are pronounced /o/ and /O/, and /e/ that are pronounced /e/, /ǝ/, and /ɛ/. The difference in tone can affect the accuracy of voice recognition on the lip sync animation system if it is not specified further. In this paper, the characteristic values of vowel /e/, /ǝ/, and /ɛ/ are compared and analyzed to find the significance of the difference. The sought characteristic values are the frequency of the formant (F1, F2, and F3) through the Praat software used to extract the features. Comparison is done using a statistical test of t-test. The results show that the three vowel tones /e/ have significant differences for all of F1 and most of F2
Feasibility of Power Control for Multi-Channel User in Inter-Femtocell Network Anggun Fitrian Isnawati; Risanuri Hidayat; Selo Sulistyo; I Wayan Mustika
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 4: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.207 KB) | DOI: 10.11591/ijece.v6i4.pp1685-1694

Abstract

The importance of power control feasibility is closely related to the direct implementation of the system, which is related to interference between users in the femtocell network and also related to the optimal use of power transmit that can create a long-lasting battery. Implementation of the feasibility of power control in this study is focused on the centralized femtocell network with a multi-channel user. The research method in this study is based on the use of feasible solution algorithms in power control by observing the output of power vector that should be valued non-negative, which means that it can be implemented. This result indicates that all of user can reach the specified target SINR. SINR users will increase when there are additional channels for user groups. The average power of user will also decrease while increasing the amount of provided channels. The greater number of users in a user group, the less value SINR can be obtained
CNR and BER Ranges for the DVB-T2 Reception-Success Budi Setiyanto; Risanuri Hidayat; I Wayan Mustika; Sunarno Sunarno
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 6: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.794 KB) | DOI: 10.11591/ijece.v7i6.pp3727-3734

Abstract

DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) reception requires a sufficient quality of the received signal. CNR (carrier-to-noise ratio) and BER (bit-error-rate) are two of quantities describing the quality. This paper presents the range of each quantity providing a successful reception based on real data obtained by field-measurements. This data was collected from MO (mobile-outdoor) and SI (stationary-indoor) receiving-systems capturing signal sent by some on-air trial transmitters broadcasting services focused on the fixed-receivers. The result indicated that the successful and failed receptions were split into two quite separated (concentrated) ranges of post-decoded BER and therefore a boundary distinguishing them could be prominently defined. In contrast, they were spread in a wide common range of CNR and pre-decoded BER. Furthermore, the boundary that corresponded to this last quantity was ambiguous. In the case of MO reception as numerical examples, the two split ranges of post-decoded BER were less than about 10-5 and more than about 2.7 × 10-4 for the successful and failed receptions, respectively, whereas CNR as high as about 14 dB could be viewed as a soft boundary distinguishing these both reception-success conditions.
Inertial Navigation for Quadrotor Using Kalman Filter with Drift Compensation Lasmadi Lasmadi; Adha Imam Cahyadi; Samiadji Herdjunanto; Risanuri Hidayat
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.161 KB) | DOI: 10.11591/ijece.v7i5.pp2596-2604

Abstract

The main disadvantage of an Inertial Navigation System is a low accuracy due to noise, bias, and drift error in the inertial sensor. This research aims to develop the accelerometer and gyroscope sensor for quadrotor navigation system, bias compensation, and Zero Velocity Compensation (ZVC). Kalman Filter is designed to reduce the noise on the sensor while bias compensation and ZVC are designed to eliminate the bias and drift error in the sensor data. Test results showed the Kalman Filter design is acceptable to reduce the noise in the sensor data. Moreover, the bias compensation and ZVC can reduce the drift error due to integration process as well as improve the position estimation accuracy of the quadrotor. At the time of testing, the system provided the accuracy above 90 % when it tested indoor.
The Effects of Spread-Spectrum Techniques in Mitigating Conducted EMI to LED Luminance Mohammad Yanuar Hariyawan; Risanuri Hidayat; Eka Firmansyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2596.887 KB) | DOI: 10.11591/ijece.v6i3.pp1332-1343

Abstract

Rapid voltage and current changes in recently ubiquitous LED driver have a potency to interfere other devices. Solutions with special converter design, component design, EMI filter, and spread-spectrum techniques have been proposed. Due to cost-size-weight constraints, spread-spectrum technique seems a potential candidate in alleviating EMI problem in LED application. In this paper, the effectiveness of conducted EMI suppression performance of the spread-spectrum technique is evaluated. Spread-spectrum techniques applied by giving disturbance to the system LED driver with 3 profile signals, filtered square, triangular, and sine disturbance signal to the switching pattern of a buck LED driver. From the test results, 472.5 kHz triangular and 525 kHz sine signal can reduce EMI about 42 dBuV whilethe filtered square signal can reduce EMI 40.70 dBuV compare with fundamental constantfrequency reference 669 kHz. The average reduction in the power level of the third signal inthe frequency range of 199 kHz to 925 kHz for 5.154281 dBuV and the filtered square signal can reduce the average power level better than other signal disturbance of 5.852618 dBuV.LED luminance decrease when the spread-spectrum technique is applied to the system about 2814 lux.
Wavelet Based Feature Extraction for The Indonesian CV Syllables Sound Domy Kristomo; Risanuri Hidayat; Indah Soesanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.5014

Abstract

This paper proposes the combined methods of Wavelet Transform (WT) and Euclidean Distance (ED) to estimate the expected value of the possibly feature vector of Indonesian syllables. This research aims to find the best properties in effectiveness and efficiency on performing feature extraction of each syllable sound to be applied in the speech recognition systems. This proposed approach which is the state-of-the-art of the previous study consist of three main phase. In the first phase, the speech signal is segmented and normalized. In the second phase, the signal is transformed into frequency domain by using the WT. In the third phase, to estimate the expected feature vector, the ED algorithm is used. Th e result shows the list of features of each syllables can be used for the next research, and some recommendations on the most effective and efficient WT to be used in performing syllable sound recognition.
Comparison of multi-distance signal level difference Hjorth descriptor and its variations for lung sound classifications Achmad Rizal; Risanuri Hidayat; Hanung Adi Nugroho
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 7, No 2: June 2019
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1916.728 KB) | DOI: 10.52549/ijeei.v7i2.771

Abstract

A biological signal has the multi-scale and signals complexity properties. Many studies have used the signal complexity calculation methods and multi-scale analysis to analyze the biological signal, such as lung sound. Signal complexity methods used in the biological signal analysis include entropy, fractal analysis, and Hjorth descriptor. Meanwhile, the commonly used multi-scale methods include wavelet analysis, coarse-grained procedure, and empirical mode decomposition (EMD). One of the multi-scale methods in the biological signal analysis is the multi-distance signal level difference (MSLD), which calculates a difference between two signal samples at a specific distance. In previous studies, MSLD was combined with Hjorth descriptor for lung sound classification. MSLD has the potential to be developed by modifying the fundamental equation of MSLD. This study presents the comparison of MSLD and its variations combined with Hjorth descriptor for lung sound classification. The results showed that MSLD and its variations had the highest accuracy of 98.99% for five lung sound data classes. The results of this study provided several alternatives for multi-scale signal complexity analysis method for biological signals.
Channel sharing utility function of power control game in cognitive femtocell network Anggun Fitrian Isnawati; Risanuri Hidayat; Selo Sulistyo; I Wayan Mustika
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 7, No 2: June 2019
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.858 KB) | DOI: 10.52549/ijeei.v7i2.1163

Abstract

The use of sharing channel simultaneously has become the trend in telecommunication technology particularly in network with distributed users as the allocation of frequency spectrum becomes more crowded. The proposed power control method in cognitive femtocell network is based on game theory (commonly known as power control game, PCG). This method uses utility function formula as the goal of game theory for power strategy in power update process. Utility function formula of Proposed PCG includes channel sharing factor that aimed to accommodate the system requirement of channel sharing. The result showed that the implementation of channel factor is inversely proportional to the signal to noise and interference ratio (SINR) and transmit power, but proportional to utility function. In comparison of user transmit power and SINR with two other methods, can also be conclude that Proposed PCG was able to achieve SINR of 5.49 dB and above the SINR target 5 dB, while the Thalabani (TB) and Koskie-Gajic (KG) were only able to achieve respective SINR of 4.87 dB and 4.98 dB. It can be concluded that the Proposed PCG was better in achieving the SINR target. It means that the quality of service in this system can be fulfilled properly.