Sawitri D.,Dian Nuswantoro University |
Taufik T.,California Polytechnic State University, San Luis Obispo
Proceedings of the IASTED International Symposium on Advances in Power and Energy Systems, APES 2015 | Year: 2015
This paper proposes an early detection system to identify inter-winding faults in induction motors using the Support Vector Machine (SVM) in Motor Current Signature Analysis (MCSA) technique. Electric current signals from fault occurrence in induction motor were first recorded followed by signal analysis. Recorded signals were then extracted by using wavelet and Principal Component Analysis (PCA) algorithm. The extracted signals were then analyzed in time base and frequency base domains that were later transformed into a set of features using statistic calculations. The SVM in MCSA was also used to classify faults. Based on laboratory test results, the proposed early fault detection system is able to reliably identify faults in particular those that are caused by inter-winding shorts.
Isworo S.,Dian Nuswantoro University |
S.Oetari P.,Diponegoro University
Research Journal of Pharmaceutical, Biological and Chemical Sciences | Year: 2016
Steam Power Plant Tanjung Jati B, administratively located in the area Tubanan-Flower, Jepara, Central Java province, bordering the waters of the Java Sea. Therefore the quality of marine waters Tanjung Jati become so important that it needs to be a study of the condition of these waters. This research was conducted by analyzing the heavy metal sediments with Atomic Absorption method Spectophometer. Sediment sampling carried out on a 4 point that SD.1 (sediments on the plan dumping area), SD.2 (sediment dredging area on the plan), SD.3 (sediment on jetty existing area), SD.4 (sediments on the outfall existing area). Sediment analysis based on the results of the Sea, known to some parameters such as Chrome (Cr) mg / l 7.32 -12.97, Copper (Cu) mg / l 6.98 -11.04, Lead (Pb) mg / l 0.333 to 3, 88, Mercury (Hg) mg / l < 0.004 to 0.06, Nickel (Ni) mg / l from 3.77 to 5.44, Selenium (Se) mg / l 0.025 -0.089, Silver (Ag) mg / l 0.665 to 4.89, Zinc (Zn) mg / l 271 - 681, Iron (Fe) mg / l 13.632- 27 295, Titanium (Ti) < 0.05 -382, Manganese (Mn) mg / l 359-489. The concentration of heavy metals contained in the sediment has a value that is below standard, but it may allow the process of bioaccumulation of heavy metal biomagnification dam and if it persists in the long term it feared could be harmful to marine ecosystems and the health of surrounding communities.
Andriyansah,University of Management and Economics |
Aryanto V.D.W.,Dian Nuswantoro University
International Journal of Mechanical Engineering and Technology | Year: 2017
Exploitation of mega event, such as solar eclipse event, in tourism is not a new phenomenon. Many places have been exploited to attract tourists to look at natural events. By using 105 data with random sampling method, this study aims to prove that the total solar eclipse as a mega tourism event is able to provide a positive value to the value of consumer travel. The results show that there are positive effect of mega events on aesthetic experience of tourists. Moreover, the result also show that aesthetic experience is able to influence the consumer value. This result provide an impetus for the policy maker and stakeholder of tourism in Belitung to manage the tourist area as well as natural event to be able to give impression of a unique and exciting values as driving forces to shape visitor experience. © IAEME Publication.
Purwanto Y.,Dian Nuswantoro University
Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016 | Year: 2017
As an equatorial country, Indonesian archipelago is suitable for SPS receiving site. This paper describes rectenna development aspects in Indonesia to get a picture that can be used in determining policy in the field of electrical energy supply in the future. It is recommended that to maximize the land utilization, the rectenna structure must be made at least 60% translucent. It could be built in the area of barren, or desert land that is widely available in Eastern Indonesia. Rectenna should be built with the concept of greening, in which the presence of electrical energy can be greened barren areas. Another alternative for rectenna site is in uninhabited coral islands, which are widely scattered throughout the Indonesian archipelago.
Purwanto,Multimedia University |
Purwanto,Dian Nuswantoro University |
Eswaran C.,Multimedia University |
Logeswaran R.,Multimedia University
Applied Intelligence | Year: 2012
The need for improving the accuracy of time series prediction has motivated researchers to develop more efficient prediction models. The accuracy rates resulting from linear models such as linear regression (LR), exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) are not high as they are poor in handling the nonlinear time series data. Neural network models are considered to be better in handling such nonlinear time series data. In the real-world problems, the time series data consist of complex linear and nonlinear patterns and it may be difficult to obtain high prediction accuracy rates using only linear or neural network models. Hybrid models which combine both linear and neural network models can be used to obtain high prediction accuracy rates. In this paper, we propose an enhanced hybrid model which indicates for a given input data which choice is better between the two options, namely, a linear-nonlinear combination or a nonlinear-linear combination. The appropriate combination is selected based on a linearity test of data. From the experimental results, it is found that the proposed hybrid model comprising linear-nonlinear combination performs better than other models for the data that have a linear relationship. On the contrary, the hybrid model comprising nonlinear-linear combination performs better than other models for the data that have a nonlinear relationship. © 2012 Springer Science+Business Media, LLC.
Ernawan F.,Dian Nuswantoro University |
Ernawan F.,Hang Tuah University |
Abu N.A.,Hang Tuah University |
Suryana N.,Hang Tuah University
2013 International Conference of Information and Communication Technology, ICoICT 2013 | Year: 2013
The human visual systems are able to perceive various intensity of the colour image while it is not able to respond small different colour signals of the image. The sensitivity of the color image can be measured by a psychovisual threshold. A psychovisual threshold represents the sensitivity of the human eye to the image. The quantization tables are obtained to determine psychovisual threshold that can be perceived visually by the human eye. This paper presents a generating of the quantization tables from a psychovisual threshold on gray-scale TMT image compression. This paper introduces the concept of psychovisual threshold into TMT image compression. TMT image compression has been shown to perform better than the standard JPEG image compression. This model has been implemented on TMT image compression. The experiment results show that a psychovisual threshold for TMT basis function provides better image compression performance. © 2013 IEEE.
Ernawan F.,Dian Nuswantoro University |
Abu N.A.,University Technical Malaysia Melaka |
Rahmalan H.,University Technical Malaysia Melaka
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012
Currently, mobile image applications spend a lot of computing process to display images. A true color raw image contains billions of colors and it consumes high computational power in most mobile image applications. At the same time, mobile devices are only expected to be equipped with lower computing process and minimum storage space. Image dithering is a popular technique to reduce the numbers of bit per pixel at the expense of lower quality image displays. This paper proposes a novel approach on image dithering using 2x2 Tchebichef moment transform (TMT). TMT integrates a simple mathematical framework technique using matrices. TMT coefficients consist of real rational numbers. An image dithering based on TMT has the potential to provide better efficiency and simplicity. The preliminary experiment shows a promising result in term of error reconstructions and image visual textures. © 2012 SPIE.
Basari A.S.H.,Hang Tuah University |
Hussin B.,Hang Tuah University |
Ananta I.G.P.,Hang Tuah University |
Zeniarja J.,Dian Nuswantoro University
Procedia Engineering | Year: 2013
Nowadays, online social media is online discourse where people contribute to create content, share it, bookmark it, and network at an impressive rate. The faster message and ease of use in social media today is Twitter. The messages on Twitter include reviews and opinions on certain topics such as movie, book, product, politic, and so on. Based on this condition, this research attempts to use the messages of twitter to review a movie by using opinion mining or sentiment analysis. Opinion mining refers to the application of natural language processing, computational linguistics, and text mining to identify or classify whether the movie is good or not based on message opinion. Support Vector Machine (SVM) is supervised learning methods that analyze data and recognize the patterns that are used for classification. This research concerns on binary classification which is classified into two classes. Those classes are positive and negative. The positive class shows good message opinion; otherwise the negative class shows the bad message opinion of certain movies. This justification is based on the accuracy level of SVM with the validation process uses 10-Fold cross validation and confusion matrix. The hybrid Partical Swarm Optimization (PSO) is used to improve the election of best parameter in order to solve the dual optimization problem. The result shows the improvement of accuracy level from 71.87% to 77%. © 2013 The Authors.
Ernawan F.,Dian Nuswantoro University |
Noersasongko E.,Dian Nuswantoro University |
Abu N.A.,University Technical Malaysia Melaka
Proceedings - 1st International Conference on Informatics and Computational Intelligence, ICI 2011 | Year: 2011
Traditionally, speech recognition requires large computational windows. This paper proposes an approach based on 256 discrete orthonormal Tchebichef polynomials for efficient speech recognition. The method uses a simplified set of recurrence relation matrix to compute within each window. Unlike the Fast Fourier Transform (FFT), discrete orthonormal Tchebichef transform (DTT) provides simpler matrix setting which involves real coefficient number only. The comparison among 256 DTT, 1024 DTT and 1024 FFT has been done to recognize five vowels and five consonants. The experimental results show the practical advantage of 256 Discrete Tchebichef Transform in term of spectral frequency and time taken of speech recognition performance. 256 DTT produces frequency formants relatively identical similar output with 1024 DTT and 1024 FFT in term of speech recognition. The 256 DTT has a potential to be a competitive candidate for computationally efficient dynamic speech recognition. © 2011 IEEE.
Setyono A.,Dian Nuswantoro University
International Journal of Interactive Mobile Technologies | Year: 2015
This paper presents an adaptive MMS framework to build a mobile telemedicine system for sending multimedia messages and for streaming audio and video files. With the proposed framework, the capability of MMS can be increased to send and receive multimedia files of larger sizes without degrading the quality of data which is not possible with the present MMS system. This feature is particularly important for telemedicine environments as a good quality of multimedia data is required to accomplish accurate medical diagnosis. The experimental results demonstrate that the proposed framework outperforms the existing MMS system with regard to the file size that can be transmitted and to the quality of data. The modified MMS framework is adaptive in the sense that it allows transmission of different sizes and types of multimedia messages. This framework can form the basis for developing a practical mobile telemedicine system.