cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Teknik Elektro
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 7, No 2 (2007): SEPTEMBER 2007" : 8 Documents clear
Sistem Pengenalan Penutur dengan Metode Mel-frequency Wrapping Mustofa, Ali
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.216 KB) | DOI: 10.9744/jte.7.2.88-96

Abstract

Speaker recognition is the process of identifying a person based on his voice. Speaker recognition has several useful applications including biometric authentication and intuitive human computer interaction. the Mel Frequency Cepstral Coefficients (MFCC) technique is used to extract features from the speech signal and compare the unknown speaker with the exist speaker in the database. the filter bank is used to wrap the Mel frequency. VQ (vector Quantization) is a process of taking a large set of feature vectors and producing a smaller set of measure vectors that represents the centroids of the distribution. In this method, the K means algorithm is used to do the clustering. In the recognition stage, a distortion measure which based on the minimizing the Euclidean distance was used when matching an unknown speaker with the speaker database. Speech database used 10 different speakers with MFCC 12, 20 codebooks, and 16 centroids. Abstract in Bahasa Indonesia : Pengenalan penutur adalah proses identifikasi suara seseorang.. Pengenalan penutur berguna untuk otentikasi biometrik dan komunikasi antara komputer dengan manusia. Teknik Mel Frequency Cepstral Coefficients (MFCC) digunakan untuk ekstraksi ciri dari sinyal wicara dan membandingkan dengan penutur tak dikenal dengan penutur yang ada dalam database. Filter bank digunakan sebagai pembungkus (wrapping) mel frekuensi. Vector Quantization (VQ) adalah proses meletakkan vektor-vektor ciri yang besar dan menghasilkan ukuran vektor-vektor yang kecil yang berhubungan dengan distribusi centroid. Algoritma K-mean digunakan untuk kluster. Dalam tahap pengenalan, ukuran distorsi berdasarkan minimisasi jarak Euclidean digunakan untuk mencocokkan penutur tak dikenal dengan penutur dalam database. Database wicara menggunakan 10 penutur berbeda dengan MFCC 12, 20 codebook, dan 16 centroid. Kata kunci: penutur, mel-frequency cepstral coefficients, vector quantization, K-mean
Replikasi Signal dengan Menggunakan Metode Bootstrap Halim, Siana
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.848 KB) | DOI: 10.9744/jte.7.2.97-100

Abstract

Signal can be modeled as a periodic or a nonperiodic stochastic process. Therefore to replicate a signal, we should keep the original character of the signal as well as the random character in it. One of plausible methods for doing such kind of job is bootstrap. However, we should modify the boostrap to accomodate the dependency in the series and their periodicities. As the pre bootraping we need to detect the existence of periodicities in the series. Two methods are given for detecting the existence of periodicities, i.e. the Fisher classical statistic, and the Chiu statistic. At the end we give an illustration. We used simulated data for testing and replicating a signal. Abstract in Bahasa Indonesia : Signal dapat dimodelkan sebagai proses stokastik yang berperiode ataupun tidak berperiode. Untuk itu dalam mereplikasi sebuah signal, kita harus tetap menjaga karakter asli dari signal dan juga sifat keacakannya. Salah satu metode yang mungkin untuk dilakukan adalah bootstrap. Namun demikian, kita harus memodifikasi metode bootrap ini untuk mengakomodasi sifat ketergantungan dari series beserta periodisitasnya. Sebagai langkah awal dalam bootstrap ini diperlukan uji ada tidaknya periodisitas dalam signal. Diberikan dua metode untuk mendeteksi periodisitas, yaitu Fisher statistik dan Chiu statistik dan sebuah ilustrasi dengan menggunakan data simulasi untuk menguji dan mereplikasi sebuah signal. Kata kunci: bootstrap, periodogram, fisher statistic
Hubungan Intensitas Polusi Isolator Jaringan Distribusi di Sumatera Utara dengan Jarak Lokasi Isolator dari Pantai L. Tobing dan Mustafriend Lubis, Bonggas
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.747 KB) | DOI: 10.9744/jte.7.2.63-67

Abstract

This paper reports the result of research about the pollution intensity of the insulator of 20 kV electrical distribution network in North Sumatera. It has investigated that the pollution intensity of the insulator of 20 kV electrical distribution network in North Sumatera is in low category. The pollution intensity of an insulator is decrease if the distance of mentioned insulator more far away from the seashore. If the distance of insulator from seashore about 40 km, the decreasing of pollution intensity reach to ± 50 % of pollution intensity of insulator that close to the seashore. The pollution intensity of insulator almost constant if the distance of insulator from seashore is between 40 km to 80 km. It means that the salt contained on air which is blow from the sea is not influence on insulator pollution if the distance of mentioned insulator from seashore more than 40 km Abstract in Bahasa Indonesia : Paper ini melaporkan hasil penelitian tentang tingkat intensitas polusi pada isolator jaringan distribusi hantaran udara 20 kV di Sumatera Utara. Ditemukan bahwa tingkat intensitas polusi isolator jaringan distribusi hantaran udara 20 kV di Sumatera Utara termasuk kategori ringan. Intensitas polusi pada suatu isolator semakin rendah jika isolator semakin jauh dari pantai. Setelah jarak isolator dari pantai mencapai kurang lebih 40 km, intensitas polusi pada isolator turun ± 50 % dari intensitas polusi isolator yang terdekat ke pantai. Pada jarak di antara 40 - 80 km dari pantai, intensitas polusi isolator hampir konstan. Artinya, kandungan garam yang dibawa angin laut tidak berpengaruh lagi terhadap polutan isolator jika jarak isolator dari pantai lebih dari 40 km. Kata kunci: distribusi, isolator, polusi, ESDD
Comparison of BPA and LMA Methods for Takagi - Sugeno type MIMO Neuro-Fuzzy Network to Forecast Electrical Load Time Series Pasila, Felix
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.515 KB) | DOI: 10.9744/jte.7.2.101-109

Abstract

This paper describes an accelerated Backpropagation algorithm (BPA) that can be used to train the Takagi-Sugeno (TS) type multi-input multi-output (MIMO) neuro-fuzzy network efficiently. Also other method such as accelerated Levenberg-Marquardt algorithm (LMA) will be compared to BPA. The training algorithm is efficient in the sense that it can bring the performance index of the network, such as the sum squared error (SSE), Mean Squared Error (MSE), and also Root Mean Squared Error (RMSE), down to the desired error goal much faster than that the simple BPA or LMA. Finally, the above training algorithm is tested on neuro-fuzzy modeling and forecasting application of Electrical load time series.
Pengaruh Ketidakseimbangan Beban Terhadap Arus Netral dan Losses pada Trafo Distribusi Sentosa Setiadji, Julius; Machmudsyah, Tabrani; Isnanto, Yanuar
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.013 KB) | DOI: 10.9744/jte.7.2.68-73

Abstract

The unbalanced load in electric power distribution system always happen and it is caused by single phase loads on low voltage system. The effect of the unbalanced load is appear as a neutral current. These neutral current cause losses, those are losses caused by neutral current in neutral conductor on distribution transformers and losses caused by neutral current flows to ground. In conclusion, when high unbalanced load happened (28,67%), then the neutral current that appear is also high (118,6 A), ultimately the losses that caused by the neutral current flows to ground will be high too (8,62%). Abstract in Bahasa Indonesia : Ketidakseimbangan beban pada suatu sistem distribusi tenaga listrik selalu terjadi dan penyebab ketidakseimbangan tersebut adalah pada beban-beban satu fasa pada pelanggan jaringan tegangan rendah. Akibat ketidakseimbangan beban tersebut muncullah arus di netral trafo. Arus yang mengalir di netral trafo ini menyebabkan terjadinya losses (rugi-rugi), yaitu losses akibat adanya arus netral pada penghantar netral trafo dan losses akibat arus netral yang mengalir ke tanah. Setelah dianalisa, diperoleh bahwa bila terjadi ketidakseimbangan beban yang besar (28,67%), maka arus netral yang muncul juga besar (118,6A), dan losses akibat arus netral yang mengalir ke tanah semakin besar pula (8.62%). Kata kunci: ketidakseimbangan beban, arus netral, losses.
Pengembangan Algoritma Pengenalan Bentuk dan Arah Objek pada Sistem Omnidirectional Vision Sensor Arthayaa, Bagus; Sadiyokob, Ali; Wiejaya, Chandra
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.973 KB) | DOI: 10.9744/jte.7.2.74-81

Abstract

One of application of automation technology is Autonomous Mobile Robot (AMR), which has a navigation so that it can move around the unknown environment. This AMR ability can be used for moving around the dangerous area for people such as a place where new gas is found. As an application of automation technology, AMR needs a sensor for recognizing the environement. One of the sensors used in the automation technology and application is camera, which has the same characteristic as human eyes. Drawback of camera sensor is a limitation in the field of view of the camera. Camera can only catch the image or data of an object facing to the camera, whereas AMR neesd to know the data in the other direction or field of view. This can be overcomed by using omnidirectional vision sensor system. This system can give information of environment around the camera (3600) in one image. This system can be done by facing the camera to a convex mirror. Fisrtly, AMR has to detect the existence of the objects around it so that the collision can be avoided. This research focused on regocnizing an object and determining the direction of that object related to AMR. The designed omnidirectional vision sensor system is only used as the tool for data acquisition and has not been integrated with AMR. Abstract in Bahasa Indonesia : Otomasi merupakan salah satu solusi untuk meningkatkan efisiensi dan keamanan dalam dunia produksi. Autonomous Mobile Robot (AMR) merupakan salah satu bentuk dari teknologi otomasi. AMR memiliki kemampuan navigasi sehingga dapat bergerak pada lingkungan yang tidak dikenalnya. Kemampuan ini dapat digunakan untuk menjelajahi daerah-daerah yang tidak dikenali dan berbahaya bagi manusia, misalnya daerah sumber gas yang baru ditemukan. AMR sebagai salah satu bentuk teknologi otomasi membutuhkan komponen sensor untuk dapat mengenali lingkungan sekitarnya. Salah satu jenis sensor yang dapat digunakan pada teknologi otomasi adalah sensor kamera. Sensor kamera memiliki karakteristik yang sama dengan indera penglihatan (mata) pada makhluk hidup.Kelemahan sensor kamera adalah keterbatasan sudut pandangnya. Sudut pandang yang dapat ditangkap oleh sensor kamera serupa dengan sudut pandang pada mata manusia (ke arah kamera menghadap/ke arah depan), padahal AMR membutuhkan data mengenai lingkungan yang berada di bagian belakang sensor kamera. Hal ini dapat diatasi dengan menggunakan sistem omnidirectional vision sensor. Sistem tersebut dapat memberikan informasi mengenai 3600 lingkungan sekitar hanya dalam satu image. Sistem ini didasarkan pada karakteristik mata serangga. Sistem ini dapat dibuat dengan mengarahkan kamera ke sebuah cermin cembung. Semakin cembung cermin yang digunakan, maka sudut pandang yang dihasilkan akan semakin luas. Sebelum menentukan gerakan dari AMR, pertama-tama AMR harus dapat mendeteksi adanya objek di sekitarnya, sehingga tabrakan dapat dihindari. Penelitian ini memfokuskan penelitian pada pengenalan bentuk objek dan penentuan arah objek tersebut ditinjau dari sistem AMR yang menggunakan omnidirectional vision sensor. Sistem omnidirectional vision sensor yang dibuat hanya digunakan sebagai sarana pengambilan data, dan belum diintegrasikan dengan AMR. Kata kunci: AMR, omnidirectional vision, penentuan arah, pengenalan bentuk.
PARAMETER ESTIMATION USING LEAST SQUARE METHOD FOR MIMO TAKAGI-SUGENO NEURO-FUZZY IN TIME SERIES FORECASTING Sugiarto, Indar; Natarajan, Saravanakumar
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.892 KB) | DOI: 10.9744/jte.7.2.82-87

Abstract

This paper describes LSE method for improving Takagi-Sugeno neuro-fuzzy model for a multi-input and multi-output system using a set of data (Mackey-Glass chaotic time series). The performance of the generated model is verified using certain set of validation / test data. The LSE method is used to compute the consequent parameters of Takagi-Sugeno neuro-fuzzy model while mean and variance of Gaussian Membership Functions are initially set at certain values and will be updated using Back Propagation Algorithm. The simulation using Matlab shows that the developed neuro-fuzzy model is capable of forecasting the future values of the chaotic time series and adaptively reduces the amount of error during its training and validation.
The Performance Evaluation of SMA Spring as Actuator for Gripping Manipulation Andik Setiawan, Made
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jte.7.2.110-120

Abstract

This paper is to present the evaluation of a TiNi Shape Memory Alloy (SMA) spring as actuator for the gripping manipulation. The SMA spring employed was a TiNi tensile spring which has a diameter of 50 mm wire and 350 gram hanging mass. The gripper fabricated consists of two fingers and each finger is actuated by the SMA spring. The total angular displacement of the gripper is 300. The power consumptions, the movements and force generations experimentations have been conducted. The DC signal and PWM signal with 12, 12Hz, 25Hz, 125Hz, 250Hz and the 1150Hz have been employed for driving the SMA. The experimental results indicated that the 125Hz of PWM signal was likely to be had a better performance than the other signals. The 125Hz PWM signal generated faster movement, lower power consumption, and constant rate of force. In this study, closed-loop control for gripping manipulation was also conducted. The close loop controller used is PID controller. The Ziegler-Nichols method has been used to predict the optimal gain of the controller, but the best performance was determined by experimentally tuning of the gains. The experimental results indicated that the PID controller is likely to be reliable controller for gripping manipulation of the SMA spring. To obtain the better performance, it is important to consider the SMA cooling responses and the long time of retain in certain position of the gripper.

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2007 2007


Reset
Filter By Issues
All Issue Vol 11, No 2 (2018): September 2018 Vol 11, No 1 (2018): Maret 2018 Vol 10, No 2 (2017): September 2017 Vol 10, No 1 (2017): Maret 2017 Vol 9, No 2 (2016): September 2016 Vol 9, No 1 (2016): Maret 2016 Vol 8, No 2 (2008): SEPTEMBER 2008 Vol 8, No 1 (2008): MARET 2008 Vol 7, No 2 (2007): SEPTEMBER 2007 Vol 7, No 1 (2007): MARET 2007 Vol 6, No 2 (2006): SEPTEMBER 2006 Vol 6, No 1 (2006): MARET 2006 Vol 5, No 2 (2005): SEPTEMBER 2005 Vol 5, No 1 (2005): MARET 2005 Vol 4, No 2 (2004): SEPTEMBER 2004 Vol 4, No 1 (2004): MARET 2004 Vol 3, No 2 (2003): SEPTEMBER 2003 Vol 3, No 1 (2003): MARET 2003 Vol 2, No 2 (2002): SEPTEMBER 2002 Vol 2, No 1 (2002): MARET 2002 Vol 1, No 2 (2001): SEPTEMBER 2001 Vol 1, No 1 (2001): MARET 2001 More Issue