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31,456 Article Results

Wavelet Based Feature Extraction for The Indonesian CV Syllables Sound

10.12928/telkomnika.v16i3.5014
Domy; Universitas Gadjah Mada Kristomo , Risanuri; Universitas Gadjah Mada Hidayat , Indah; Universitas Gadjah Mada Soesanti
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.
Volume: 16
Issue: 3
Page: 925-933
Publish at: 2018-06-01

Latin-to-Balinese Script Transliteration Method on Mobile Application: A Comparison

10.11591/ijeecs.v10.i3.pp1331-1342
Gede Indrawan , I Ketut Paramarta , Ketut Agustini , Sariyasa Sariyasa
Balinese script writing, as one of Balinese cultural richness, is going to extinct because of its decreasing use. This research is a way to preserve it through collaboration between Computer Science and Language discipline, that focused on accuracy comparison of Latin-to-Balinese script transliteration method on mobile application as a ubiquitous learning media. From few research in this area, there are only two existing methods to be compared, i.e. each on Android mobile application that were called Belajar Aksara Bali (BAB), and Transliterasi Aksara Bali (TAB). The comparison was based on The Balinese Alphabet writing rules and examples document by Sudewa. Through the experiment, TAB has outperformed BAB since TAB has passed over 68% (103 of 151) cases, while BAB has passed over only 39% (59 of 151) cases. This research contributes on a comprehensive accuracy comparison analysis of Latin-to-Balinese script transliteration method, specifically on mobile application, since there is no such study. This research also contributes on those methods improvement possibility. In the future, this research can be used as a reference for improvement of any Latin-to-Balinese script transliteration method by taking care on thirteen kind of special words that were found during this comparison study.
Volume: 10
Issue: 3
Page: 1331-1342
Publish at: 2018-06-01

Lessons Learned from the Quality of Experience (QoE) Assessment of 4G Mobile Technology in Indonesia

10.11591/ijeecs.v10.i3.pp1203-1211
Muhammad Suryanegara , Fery Andriyanto , Ajib Setyo Arifin
The purpose of this research is to assess the quality of experience (QoE) of 4G mobile technology that is used in the Indonesian market. The study analyzed the results obtained and discussed the lesson learned for stakeholders of the telecommunications industry. Primary data was obtained by conducting a market survey in May 2017, with a confidence level of 95%, representing the 4G subscribers in the Indonesia market. There are three main subjective aspects of QoE: service quality, data speed, and network quality (indicated by stability of signal). The analyses were conducted based on ACR-HR score, comparing users’ experiences of 4G with their previous 3G subscriptions. It was found that, in general, the Indonesian market perceived 4G as offering a better experience than 3G. However, one of the important lessons that can be learned is that network operators should provide a more stable signal, as the market gave a lower score for this aspect.
Volume: 10
Issue: 3
Page: 1203-1211
Publish at: 2018-06-01

Integration Method of Local-global SVR and Parallel Time Variant PSO in Water Level Forecasting for Flood Early Warning System

10.12928/telkomnika.v16i3.6772
Arief Andy; Universitas Brawijaya Soebroto , Imam; Universitas Brawijaya Cholissodin , Maria Tenika; Universitas Brawijaya Frestantiya , Ziya El; Universitas Brawijaya Arief
Flood is one type of natural disaster that can’t be predicted, one of the main causes of flooding is the continuous rain (natural events). In terms of meteorology, the cause of flood is come from high rainfall and the high tide of the sea, resulting in increased the water level. Rainfall and water level analysis in each period, still not able to solve the existing problems. Therefore in this study, the proposed integration method of Parallel Time Variant PSO (PTVPSO) and Local-Global Support Vector Regression (SVR) is used to forecast water level. Implementation in this study combine SVR as regression method for forecast the water level, Local-Global concept take the role for the minimization for the computing time, while PTVPSO used in the SVR to obtain maximum performance and higher accurate result by optimize the parameters of SVR. Hopefully this system will be able to solve the existing problems for flood early warning system due to erratic weather.
Volume: 16
Issue: 3
Page: 1193-1200
Publish at: 2018-06-01

Pico-hydro Electrification from Rainwater’s Gravitational Force for Urban Area

10.12928/telkomnika.v16i3.8076
M Faizal; Universiti Teknikal Malaysia Melaka Yaakub , M Farriz; Universiti Teknikal Malaysia Melaka Basar , F Hanim Mohd; Universiti Tun Hussien Onn Malaysia Noh , Hambali; Universiti Teknikal Malaysia Melaka Boejang
The demand for electrical energy is increasing in most areas in the world. Unstable fossil fuel price and its rapid depletion have led to an intensive research on new energy source and energy conversion. This paper presents the performance of the energy harvesting which focuses on the experimental work to emulate energy harvesting from the rainwater by utilizing a Pico - hydro approach installed to a high building. NACuM core DB-370F DC generators, 1000 litres water tank, 0.5 inch diameter piping system used in two different configurations with three different head setups. The result shows a huge energy harvesting potential obtained from the system and rainwater with maximum 261 milliwatts despite the hardware’s limitation in the setup. Hance, contributes to the cost-efficient due to its small in size, environmentally friendly, and hassle-free maintenance.
Volume: 16
Issue: 3
Page: 997-1003
Publish at: 2018-06-01

Fusion of Random Projection, Multi-Resolution Features and Distance Weighted K Nearest Neighbor for Masses Detection in Mammographic Images

10.11591/ijeecs.v10.i3.pp1030-1035
Viet Dung Nguyen , Minh Dong Le
Breast cancer is the top cancer in women both in the developed and the developing world. For early detection of the disease, mammography is still the most effective method beside ultrasound and magnetic resonance imaging. Computer Aided Detection systems have been developed to aid radiologists in diagnosing breast cancer. Different methods were proposed to overcome the main drawback of producing large number of False Positives.  In this paper, we presented a novel method for masses detection in mammograms. To describe masses, multi-resolution features were utilized. In feature extraction step, we calculated multi-resolution Block Difference Inverse Probability features and multi-resolution statistical features. Once the descriptors were extracted, we deployed random projection and distance weighted K Nearest Neighbor to classify the detected masses. The result is quite sanguine with sensitivity, false positive reduction and time for carrying out the algorithm
Volume: 10
Issue: 3
Page: 1030-1035
Publish at: 2018-06-01

Comparison of Methods for Batik Classification Using Multi Texton Histogram

10.12928/telkomnika.v16i3.7376
Agus Eko; Universitas Muhammadiyah Malang Minarno , Ayu Septya; Universitas Muhammadiyah Maulani , Arrie; Universitas Islam Indonesia Kurniawardhani , Fitri; Universitas Mataram Bimantoro , Nanik; Institut Teknologi Sepuluh Nopember Suciati
Batik is a symbol reflecting Indonesian culture which has been acknowledged by UNESCO since 2009. Batik has various motifs or patterns. Because most regions in Indonesia have their own characteristic of batik motifs, people find difficulties to recognize the variety of Batik. This study attempts to develop a system that can help people to classify Batik motifs using Multi Texton Histogram (MTH) for feature extraction. Meanwhile, k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM) algorithm were employed for classification. The performance of those classifications is then compared to seek the best classification method for Batik classification. The performance is tested 300 images divided into 50 classes. The results show the optimum accuracy achieved using k-NN with k=5 and MTH with 6 textons is 82%; however, SVM and MTH with 6 textons denote 76%. According to the result, MTH as feature extraction, k-NN or SVM as a classifier can be applied on Batik image classification.
Volume: 16
Issue: 3
Page: 1358-1366
Publish at: 2018-06-01

Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix

10.12928/telkomnika.v16i3.8539
Bayan Mahdi; Al-Nahrain University Sabar , Yasmine M.; Al-Nahrain University Tabra
Providing simple and low complexity algorithms for estimating the direction of arrival in large systems using Massive MIMO is considered an important issue. In this paper a method with reduced complexity was proposed to estimate the direction of arrival in FD- MMIMO. The Separated Steering Matrix (SSM) algorithm uses two separated equations for estimating elevation and azimuth angles of Multi-users. This method reduces the complexity of calculating the covariance matrix by decreasing the size of this matrix. This technique is tested using 2D-MUSIC algorithm. Since the mobility of devices affects the accuracy of direction estimation, thus the effect of the initial phase of transmitted signal from mobile device is tested.
Volume: 16
Issue: 3
Page: 946-954
Publish at: 2018-06-01

Wireless Data Communication Techniques to Coordinate Distributed Rooftop PVs in Unbalanced Three-phase Feeder

10.12928/telkomnika.v16i3.7780
Rachmawati; Politeknik Negeri Lhokseumawe Rachmawati , Anita; Politeknik Negeri Lhokseumawe Fauziah , Nelly; Politeknik Negeri Lhokseumawe Safitri
A necessity of the availability of communication network to provide data transfer amongst the coordinated single-phase rooftop photovoltaic (PV) in unbalanced three-phase low voltage (LV) feeder is essential since fetching data within the sensor of each PV unit requires real-time measurement and reliable data exchange within smart grid (SG), loads and other PV units. The main objective of this paper is to model the popular Wi-Fi, WiMax and ZigBee wireless data communication techniques into algorithms using numerical analysis. Those communication technologies have low cost and low power consumption. The benefits and drawbacks of those considered wireless data communications are shown as the required data that transferred and appropriate coding is also proposed. The number of transmitted symbols and the processing time delay of the proposed data coding are numerically analyzed, the results indicated that the 100% penetration level of PV that resulted higher injected reactive power back into the networks is able to be overcome since the coordinated PVs along the feeder is communicating to lower the unbalanced voltage profile.
Volume: 16
Issue: 3
Page: 1101-1106
Publish at: 2018-06-01

Asymptotic features of Hessian Matrix in Receding Horizon Model Predictive Control with Medium Sized Prediction Frames

10.12928/telkomnika.v16i3.9035
M. Bilal; University of Technology Shahid , M. Abbas; University of Technology Abbasi , Sehar; University College of Engineering & Technology, The Islamia University of Bahawalpur Arsha
In this paper, Receding Horizon Model Predictive Control (RH-MPC) having a quadratic objective function is studied through the Singular Value Decomposition (SVD) and Singular Vectors of its Hessian Matrix. Contrary to the previous work, non-equal and medium sized control and prediction horizons are considered and it is shown that the Singular Values converge to the open loop magnitude response of the system and singular vectors contain the phase information. Earlier results focused on classical formulation of Generalized Predictive Control (GPC), whereas, current work proves the applicability to modern formulation. Although, method can easily be extended to MIMO systems, only SISO system examples are presented.
Volume: 16
Issue: 3
Page: 1174-1182
Publish at: 2018-06-01

Thermal Effect of Wind Generation on Conventional Generator in a Microgrid

10.11591/ijeecs.v10.i3.pp890-896
Azmi Hashim , Kwok L Lo
In order to reduce CO2 emissions, which is one of the key strategy in combatting global warming, development of wind energy technology as source of renewable energy has become more important globally. However, the variability of the wind speeds leads to the intermittent nature of wind power generation. The conventional generators in the system must be able to compensate this fluctuation to maintain system stability and meet the load demand in the grid. This in turn may increase the temperature of the conventional generators beyond what normally occurs without wind generation in the grid. The aim of the paper is to inestigate the effect of thermal heating of the generators due to the variable output of wind generation in different time of the year in a microgrid by proposing proper modelling in the simulation. The simulations are done in 24 hours period in four different time of the years corresponding to different seasons of the year.
Volume: 10
Issue: 3
Page: 890-896
Publish at: 2018-06-01

Face Recognition on Linear Motion-blurred Image

10.12928/telkomnika.v16i3.5480
Fergyanto E.; Bina Nusantara University Gunawan , Jeklin; Bina Nusantara University Harefa , Nobumasa; Toyohashi University of Technology Sekishita
Most face recognition algorithms are generally capable to achieve a high level of accuracy when the image is acquired under wellcontrolled conditions. The face should be still during the acquisition process; otherwise, the resulted image would be blur and hard for recognition. Enforcing persons to stand still during the process is impractical; extremely likely that recognition should be performed on a blurred image. It is important to understand the relation between the image blur and the recognition accuracy. The ORL Database was used in the study. All images were in PGM format of 92 × 112 pixels from forty different persons, ten images per person. Those images were randomly divided into training and testing datasets with 50-50 ratio. Singular value decomposition was used to extract the features. The images in the testing datasets were artificially blurred to represent a linear motion, and recognition was performed. The blurred images were also filtered using various methods. The accuracy levels of the recognition on the basis of the blurred faces and filtered faces were compared. The performed numerical study suggests that at its best, the image improvement processes are capable to improve the recognition accuracy level by less than five percent.
Volume: 16
Issue: 3
Page: 1249-1255
Publish at: 2018-06-01

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

10.12928/telkomnika.v16i3.7077
Sri Suryani; Telkom University Prasetiyowati , Yuliant; Telkom University Sibaroni , Derwin; Telkom University Prabangkara
Currently, the existence of city transport is increasingly eliminated by private vehicles such as cars and motorcycles. This situation is further exacerbated by the behavior of city transport drivers who are less discipline in driving, or in picking up and dropping off their passengers. The bad behavior is partly caused by the low level of passenger occupancy. The drivers try to search for passengers as much as possible but often ignore the traffic rules. To overcome this problem, an optimal transport route with high passenger potential is required. Therefore, this study investigated the optimal route of city transport based on the passenger occupancy rate in the city of Bandung as the case study. The method employed for determining the optimal route is Genetic algorithm combined with Ordinary Kriging method used for the process of passenger prediction and fitness calculation. The optimal routes are those with higher occupancy rate. The analysis results showed that the use of the Genetic algorithm with a low number of generations succeed in creating new optimal routes even though the increase is not too high the maximum only reaches 4%.This result is certainly important enough to be used in making better public transport routes.
Volume: 16
Issue: 3
Page: 1201-1207
Publish at: 2018-06-01

Synchronous Mobile Robots Formation Control

10.12928/telkomnika.v16i3.8397
Mohd Razali; Universiti Teknikal Malaysia Melaka Mohamad Sapiee , Khalil Azha; Universiti Teknikal Malaysia Melaka Mohd Annuar
Synchronous mobile robots formation control is one of the most challenging and interesting fields in robotics. The mobile robots communicate with each other through wireless communication to perform similar movement. This study analyzed two mobile robots that can perform synchronous movement along a shaped path. A square shape is set as a path for the mobile robot movements. The front robot being the leading robot transmits the instruction of its movement to the robot behind it, acting as the following robot through a wireless communication. The instruction sent by the leading robot is received by the following robot through a program embedded in the leading robot microcontroller which then drives the following robot to move and imitates the movement of the leading. The algorithm for the movement is tested on the hardware and the results of the experiment are included to verify the effectiveness of the proposed method.
Volume: 16
Issue: 3
Page: 1183-1192
Publish at: 2018-06-01

Algorithm to Convert Signal Interpreted Petri Net Models to Programmable Logic Controller Ladder Logic Diagram Models

10.11591/ijeecs.v10.i3.pp905-916
Z. Aspar , Nasir Shaikh-Husin , M. Khalil-Hani
Signal Interpreted Petri Nets (SIPN) modeling has been proposed as an alternative to Ladder Logic Diagram (LLD) modeling for programming complex programmable logic controllers (PLCs) due to its high level of abstraction and functionalities. This paper proposes an algorithm to efficiently convert existing SIPN models to their LLD models equivalences. In order to automate and speed up the conversion process, matrix calculation approach is used. A complex SIPN model was used to show that existing conversion technique must be expanded in order to cater for a more complex SIPN models.
Volume: 10
Issue: 3
Page: 905-916
Publish at: 2018-06-01
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