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31,042 Article Results

Speech Recognition Application for the Speech Impaired using the Android-based Google Cloud Speech API

10.12928/telkomnika.v16i6.9638
Nenny; Universitas Islam Negeri Syarif Hidayatullah Jakarta Anggraini , Angga; Universitas Islam Negeri Syarif Hidayatullah Jakarta Kurniawan , Luh Kesuma; Universitas Islam Negeri Syarif Hidayatullah Jakarta Wardhani , Nashrul; Universitas Islam Negeri Syarif Hidayatullah Jakarta Hakiem
Those who are speech impaired (tunawicara in the Indonesian language) suffer from abnormalities in their delivery (articulation) of the language as well their voice in normal speech, resulting in difficulty in communicating verbally within their environment. Therefore, an application is required that can help and facilitate conversations for communication. In this research, the authors have developed a speech recognition application that can recognise speech of the speech impaired, and can translate into text form with input in the form of sound detected on a smartphone. By using the Google Cloud Speech Application Programming Interface (API), this allows converting audio to text, and it is also user friendly to use such APIs. The Google Cloud Speech API integrates with Google Cloud Storage for data storage. Although research into speech recognition to text has been widely practiced, this research try to develop speech recognition, specially for speech impaired's speech, as well as perform a likelihood calculation to see the factor of tone, pronunciation, and speech speed in speech recognition. The test was conducted by mentioning the digits 1 through 10. The experimental results showed that the recognition rate for the speech impaired is about 80%, while the recognition rate for normal speech is 100%.
Volume: 16
Issue: 6
Page: 2733-2739
Publish at: 2018-12-01

A Conceptual Framework for Gamified Learning Management System for LINUS Students

10.11591/ijeecs.v12.i3.pp1380-1385
Syadiah Nor Wan Shamsuddin , Muhammad Faisal Selman , Ismahafezi Ismail , Maizan Mat Amin , Norkhairani Abdul Rawi
Gamification is a term that refers to the use of game elements in non-game contexts. Gamification in education is emerging as an effective tool to motivate and engage learners in a variety of tasks. LINUS program is intended to ensure that all students from standard one are able to master the basics of reading, writing and counting at the end of standard three. Gamification will help as a learning tool to assist with the learning process for those who have difficulty in learning, unlike normal students. Therefore, the aim of this paper is to propose a framework of Gamified Learning Management System for Linus students. This framework consists of mechanisms of gamification elements, multimedia elements and learning theory that construct gamified learning management system.
Volume: 12
Issue: 3
Page: 1380-1385
Publish at: 2018-12-01

Low-Cost Fiber Optic Chemical Sensor Development for Fishpond Application

10.12928/telkomnika.v16i6.10493
Budi; Universitas Pendidikan Indonesia Mulyanti , Yuski Maolid Rizki; Universitas Pendidikan Indonesia Faozan , Ajuni B.; Universitas Pendidikan Indonesia Pantjawati , Roer Eka; Universitas Pendidikan Indonesia Pawinanto , Lilik; Universitas Pendidikan Indonesia Hasanah , Wahyu Sasongko; Institut Teknologi Sumatera Putro
In this study, aimed to develop low-cost sensor based on fiber optic to assess ammonia index for fishpond application. Here, the simple design was proposed by using Evanescent wave type to assess ammonia index during acid rain event. The experiment result showed maximum absorption loss with variation ammonia mass 1~5% with wavelength 1310 nm from Optical Light Source (OLS) is 27.56 dBm while Optical Spectrum Analyzer (OSA) reached 25.86 dBm. We had calculated RMSE, MAE, and Percent Error (PE) value both of the device (Low-cost fiber optic chemical sensor and OSA) are 1.692%, 0.916%, and 98.833% respectively. A good result from low cost fiber optic chemical sensor has successful developed with lowest production less than 1,455 USD per-year.
Volume: 16
Issue: 6
Page: 2921-2929
Publish at: 2018-12-01

Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Segmentation

10.11591/ijece.v8i6.pp4593-4602
Erwin Erwin , Saparudin Saparudin , Wulandari Saputri
This paper proposes a new method for image segmentation is hybrid multilevel thresholding and improved harmony search algorithm. Improved harmony search algorithm which is a method for finding vector solutions by increasing its accuracy. The proposed method looks for a random candidate solution, then its quality is evaluated through the Otsu objective function. Furthermore, the operator continues to evolve the solution candidate circuit until the optimal solution is found. The dataset used in this study is the retina dataset, tongue, lenna, baboon, and cameraman. The experimental results show that this method produces the high performance as seen from peak signal-to-noise ratio analysis (PNSR). The PNSR result for retinal image averaged 40.342 dB while for the average tongue image 35.340 dB. For lenna, baboon and cameramen produce an average of 33.781 dB, 33.499 dB, and 34.869 dB. Furthermore, the process of object recognition and identification is expected to use this method to produce a high degree of accuracy.
Volume: 8
Issue: 6
Page: 4593-4602
Publish at: 2018-12-01

Transient Power Quality Performance of Multi Photovoltaics using MPPT P and O/MPPT Fuzzy

10.12928/telkomnika.v16i6.9897
Amirullah; Institut Teknologi Sepuluh Nopember Amirullah , Agus; University of Bhayangkara Surabaya Kiswantono , Ontoseno; Institut Teknologi Sepuluh Nopember Surabaya Penangsang , Adi; Institut Teknologi Sepuluh Nopember Surabaya Soeprijanto
This paper presents comparative performance of transient power quality due to multi photovoltaic (PV) integration to grid at both fixed temperature and solar irradiation connected using Maximum Power Point Tracking Perturb and Observe (MPPT P and O)/MPPT Fuzzy. This research is performed as five transient of short-circuit faults on point common coupling (PCC) bus. An artificial intelligence with fuzzy logic controller (FLC) is used to set duty cycle with step variable to control DC/DC boost converter, generate quick convergence to determine MPPT for controlling of PV output voltage. Furthermore the result is compared with MPPT P and O. During transient phase, non-symmetrical faults are able to result an unbalance current/voltage greater than symmetrical faults. On symmetrical faults, MPPT Fuzzy is able to resultan average THD voltage/THD current smaller than MPPT P and O. Otherwise on non-symmetrical faults, MPPT P and O is able to resultan average THD voltage/THD current slightly smaller than MPPT Fuzzy. Both of MPPT P and O and MPPT Fuzzy on all short circuit faults during transient phase are able to result significantly smaller current average THD current than average THD voltage and limits of THD prescribed in IEEE 519. This research is simulated using Matlab/Simulink environment.
Volume: 16
Issue: 6
Page: 2967-2979
Publish at: 2018-12-01

An Intelligent Framework Prototype for Monitoring Students in Virtual Classroom

10.11591/ijeecs.v12.i3.pp1151-1158
Ashutosh Satapathy , Jenila Livingston L. M
Virtual classroom is one of the fastest growing educational technologies used by many industries and institutions. Today, Voice over Internet Protocol (VoIP) cloud is become a most accepted replacement to different virtual classroom technologies such as internet chat, internet radio, web conferencing, traditional video conferencing and peer to peer VoIP calls. It provides greater flexibility, reliability and cost efficient telecommunication features and operates on comparatively lesser bandwidth. Involvement of new technology in virtual classroom makes it more reliable to teachers and students. Still it follows traditional methods to monitor students by invigilator whether it may be inside the classroom or home study. A secure framework for virtual classroom is developed to not only monitor student’s activities continuously but also the amount of time spent by each student and provide security against unsecure unauthorized login. An effective monitoring System based on Liveness Face Detection techniques is proposed to add more flexibility to conduct virtual classroom and also increases the level of securities of each student’s accounts.
Volume: 12
Issue: 3
Page: 1151-1158
Publish at: 2018-12-01

Using Alpha-cuts and Constraint Exploration Approach on Quadratic Programming Problem

10.12928/telkomnika.v16i6.11584
Yosza; Universiti Teknikal Malaysia Melaka (UTeM) Dasril , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Ismail Bin; Universiti Putra Malaysia (UPM) Mohd
In this paper, we propose a computational procedure to find the optimal solution of quadratic programming problems by using fuzzyalpha-cuts and constraint exploration approach. We solve the problems in the original form without using any additional information such as Lagrange’s multiplier, slack, surplus and artificial variable. In order to find the optimal solution, we divide the calculation in two stages. In the first stage, we determine the unconstrained minimization of the quadratic programming problem (QPP) and check its feasibility. By unconstrained minimization we identify the violated constraints and focus our searching in these constraints. In the second stage, we explored the feasible region along side the violated constraintsuntil the optimal point is achieved. A numerical example is included in this paper to illustrate the capability of alpha-cuts and constraint exploration to find the optimal solution of QPP.
Volume: 16
Issue: 6
Page: 2782-2790
Publish at: 2018-12-01

Optimal Control for Torpedo Motion based on Fuzzy-PSO Advantage Technical

10.12928/telkomnika.v16i6.8979
Viet Dung; Ho Chi Minh City University Do , Xuan Kien; Ho Chi Minh City University Dang
The torpedo is a nonlinear object which is very difficult to control. Via to manage the rudder angle yaw, the diving plane angle, and the fin shake reduction, the torpedo yaw horizontal, the depth vertical and roll damping of the system are controlled accurately and steadily. In this paper, the particle swarm optimization is used to correct the imprecision of architecture fuzzy parameters. The coverage width of membership function and the overlap degree influence of neighboring membership functions are considered in the method to adjust dynamically from the system errors. Thereby optimizing the control signal and enhancing the torpedo motion quality. The proposed method results in a better performance compared to the other control method such as adaptive fuzzy-neural that proved effective of the proposed controller.
Volume: 16
Issue: 6
Page: 2999-3007
Publish at: 2018-12-01

A Comprehensive Review on Applications of Don’t Care Bit Filling Techniques for Test Power Reduction in Digital VLSI Systems

10.11591/ijeecs.v12.i3.pp941-949
Sanjoy Mitra , Debaprasad Das
Massive power consumption during VLSI testing is a serious threat to reliability concerns of ubiquitous silicon industry. A significant amount of low-power methodologies are proposed in the relevant literature to address this issue of test mode power consumption and don’t care bit(X) filling approaches are one of them in this fraternity. These don’t care(X) bit filling techniques have drawn the significant attention of industry and academia for its higher compatibility with existing design flow as neither modification of the CUT is required nor they need to rerun the time-consuming ATPG process. This paper presents an empirical survey of those X-bit filling techniques, applied to mitigate prime two types of dynamic power dissipation namely shift power and capture power, occurred during full scan testing.
Volume: 12
Issue: 3
Page: 941-949
Publish at: 2018-12-01

Modified SEPIC Converter Performance for Grid-connected PV Systems under Various Conditions

10.12928/telkomnika.v16i6.10148
Rizky Ajie; Universitas Negeri Semarang Aprilianto , Subiyanto; Universitas Negeri Semarang Subiyanto , Tole; Universitas Ahmad Dahlan Sutikno
Step-up converter is widely used to increase DC voltage level on PV systems either off-grid or grid connected. One of the step-up converters often used in PV systems is SEPIC converter. To improve its performance, many SEPIC converters have been modified. However, performance on various conditions has not been further investigated. In this study, the modified SEPIC converter was investigated under various change conditions for grid-connected PV applications. This converter was modelled and simulated using PSIM software. The modified SEPIC converter received input from PV array 15 kWp, and its output was connected to the three-phase inverter with grid and load. The irradiance level and ambient temperature were varied to test its performance and compared to Boost converter and SEPIC converter. For all tests, the performance of modified SEPIC converter was better than other step-up converters because it was able to rectify the quality of output voltage and more efficient.
Volume: 16
Issue: 6
Page: 2943-2953
Publish at: 2018-12-01

A Detail Study of Wavelet Families for EMG Pattern Recognition

10.11591/ijece.v8i6.pp4221-4229
Jingwei Too , A. R. Abdullah , Norhashimah Mohd Saad , N. Mohd Ali , H. Musa
Wavelet transform (WT) has recently drawn the attention of the researchers due to its potential in electromyography (EMG) recognition system. However, the optimal mother wavelet selection remains a challenge to the application of WT in EMG signal processing. This paper presents a detail study for different mother wavelet function in discrete wavelet transform (DWT) and continuous wavelet transform (CWT). Additionally, the performance of different mother wavelet in DWT and CWT at different decomposition level and scale are also investigated. The mean absolute value (MAV) and wavelength (WL) features are extracted from each CWT and reconstructed DWT wavelet coefficient. A popular machine learning method, support vector machine (SVM) is employed to classify the different types of hand movements. The results showed that the most suitable mother wavelet in CWT are Mexican hat and Symlet 6 at scale 16 and 32, respectively. On the other hand, Symlet 4 and Daubechies 4 at the second decomposition level are found to be the optimal wavelet in DWT. From the analysis, we deduced that Symlet 4 at the second decomposition level in DWT is the most suitable mother wavelet for accurate classification of EMG signals of different hand movements. 
Volume: 8
Issue: 6
Page: 4221-4229
Publish at: 2018-12-01

Addressing Latency Issues in 2D to 3D Conversion: Deploying Available Synthetic Database

10.11591/ijict.v7i3.pp141-145
N. L. Manasa
Conventional 2D to 3D rendering techniques involve a sequential process of grouping of the input images based on edge information and predictive algorithms to assign depth values to pixels with same hue. The iterative calculations and volume of data under scrutiny to assign ‘real-time’ values raise latency issues and cost considerations. For commercial consumption, where speed and accuracy define the viability of a product, there is a need to reorient the approach used in the present methodologies. In predictive methodologies one of the core interests is achieving the initial approximation as close to the ‘real’ value as possible. In this work, ‘synthetic’ database is used to provide the first approximation through comparison techniques and fed to the predictive tool. It is believed that this work will provide a basis for developing an efficient 2D to 3D conversion methodology.
Volume: 7
Issue: 3
Page: 141-145
Publish at: 2018-12-01

Radial Derivative and Radial Inversion for Interpreting 4D Gravity Anomaly Due to Fluids Injection Around Reservoir

10.12928/telkomnika.v16i6.9468
Muhammad; Universitas Gadjah Mada Zuhdi , Sismanto; Universitas Gadjah Mada Sismanto , Ari; Universitas Gadjah Mada Setiawan , Jarot; Universitas Gadjah Mada Setyowiyoto , Adi; Universitas Brawijaya Susilo , Muhammad; Universitas Lampung Sarkowi
The 4D gravity or time lapse gravity has been used many reseracher to identify fluid injection in oil reservoir. The objective of this study is to find the better way in interpreting 4D gravity anomaly due to fluid injection around the reservoir. Radial Derivatives are derivative values of gravity anomalies against horizontal distances in the radial direction. Radial inversion is a two-dimensional inversion of lines with radial directions resulting in a 3-dimension model. Time lapse microgravity research have been performed in “X Oil Field” with amount of 604 data point covering area of 4000m x 5000m. This Radial derivative and Radial inversion have been aplied at an injection well of the X oil field. The yield show that 4D gravity anomaly value due to injection is 0.02 mGal to 0.36 mGal. Radial derivative value in the area is 0 micro Gal/cm to 0,012 mGal/meter. Radial inversion shows radius of fluid front movement is 304 meters to 1120 meters. Radial derivative and Radial inversion have been proven fairly good to identify injected fluid movement in the reservoir.
Volume: 16
Issue: 6
Page: 2855-2863
Publish at: 2018-12-01

Design of Tunable Multiband Hybrid Graphene Metal Antenna in Microwave Regime

10.11591/ijeecs.v12.i3.pp1003-1009
Hussein A. Abdulnabi , Yasin Yousif Al-Aboosi
Graphene is an allotrope (form) of carbon consisting of a single layer of carbon atoms arranged in an hexagonal lattice. It is the basic structural element of many other allotropes of carbon, such as graphite, charcoal, carbon nanotubes and fullerenes. In this paper, a tunable hybrid metal-graphene antenna in the microwave regime is proposed. This antenna composed of the copper patch and four graphene strips. The antenna designs used for the cellular long-term evolution system and the operating frequency bands of 1.8, 2.5, 2.6, and 3.6 GHz, are evaluated to demonstrate the working principle and the performance tradeoffs. Furthermore, the proposed antenna can be tuned by varying applied DC voltage on the graphene which leads to change in the chemical potential of the graphene and hence the surface conductivity and electrical properties are changed. The simulation results reveal that the antenna operates in multi-band where scattering factor S11< -10 dB. In addition, the results show that hybrid metal-graphene frequency reconfigurable antennas can, at the same time, provide a tunable bandwidth and antenna matching.
Volume: 12
Issue: 3
Page: 1003-1009
Publish at: 2018-12-01

Design Mobile App for Increase the Visitor Museum using Gamification Method

10.12928/telkomnika.v16i6.10384
Novian Adi; Universitas Atma Jaya Yogyakarta Prasetyo , Suyoto; Universitas Atma Jaya Yogyakarta Suyoto
The museum's tourism object currently has a low visitor level compared to other tourism objects, even though the museum's function is very important as an enhancer of people's cultural knowledge. Judging from the small level of visitors, it cannot be separated from the effects of the promotion carried out by the museum. From the surveys that have been conducted, museum promotion uses social media more directly to the public, banners, radio, television, blogs and internet social media. In this study, an application that serves to promote museums using gamification methods was designed, this method was chosen because of the many existing promotional techniques, there is still little promotion using game content, therefore the gamification method is expected to encourage the motivation of users to visit the museum. This application will provide convenience to the museum management to promote the museum with media game content without having to spend large development and maintenance costs.
Volume: 16
Issue: 6
Page: 2791-2798
Publish at: 2018-12-01
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