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Development and testing of a thai website accessibility evaluation tool

10.11591/ijece.v10i5.pp4900-4909
Kewalin Angkananon , Mike Wald , Piyabud Ploadaksorn
This paper deals with the important problem that there is no help with the accessibility evaluations of Thailand’s web by developing and evaluating a new method and tool online, WebThai2Access, with experts, developers, and users with disabilities. This tool was evaluated by 30 developers, 30 hearing impaired people, 30 visually impaired people, and 30 elderly people. The developers evaluated the websites whereas experimental tasks were given to each disabled group based on the problems they had accessing web information. The developers found WebThai2Access very usable and the 15 test criteria were reliable for evaluating websites. The lower and upper 95% limits for confidence ratings of developers were minus or plus 10% for YouTube and Pantip websites and minus or plus 3% with the blind association website. The 95% lower and upper limits of confidence were minus or plus 5% for hearing impaired users, minus or plus 2% for elderly users and minus or plus 0% for visually impaired users. The results therefore showed WebThai2Access was reliable and accessible for developers whose evaluations reasonably well predicted website accessibility for users with disabilities.
Volume: 10
Issue: 5
Page: 4900-4909
Publish at: 2020-10-01

The efficient interleaving of digital-video-broadcasting-satellite 2nd generations system

10.12928/telkomnika.v18i5.16295
Mohammed Jabbar Mohammed; The University of Babylon Ameen , Hussam Jawad; The University of Babylon Kadhim
The DVB-S2 system is designed as a toolbox to permit the execution of the satellite programs. Interleaver is an essential part of the DVB-S2 system. The current general block interleaver in DVB-S2 is not best, which leads to high BER and maybe not satisfy the requirements of the system. The purpose of this paper is to study the several interleaver types and comparative analyses are done between them to find which of these give better performance. Simulations results obtained prove that the 2D interleavers minimize BER more than other interleavers of DVB-S2. Further, the performance of 2D interleaver is better on a system that required a low SNR.
Volume: 18
Issue: 5
Page: 2362-2370
Publish at: 2020-10-01

Determination of flexibility of workers working time through Taguchi method approach

10.12928/telkomnika.v18i5.13979
Suhaila; Universiti Malaysia Perlis Saidat , Ahmad Kadri; Universiti Malaysia Perlis Junoh , Wan Zuki Azman; Universiti Malaysia Perlis Wan Muhamad , Zainab; Universiti Malaysia Perlis Yahya
Human factor is one of the important elements in manufacturing world, despite their important role in improvement the production flow, they have been neglected while scheduling for many decades. In this paper the researchers taken the human factor throughout their job performance weightage into consideration while using job shop scheduling (JSS) for a factory of glass industry, in order to improving the workers' flexibility. In other hand, the researchers suggested a new sequence of workers' weightage by using Taguchi method, which present the best flexibility that workers can have, while decreasing the total time that the factory need to complete the whole production flow. 
Volume: 18
Issue: 5
Page: 2764-2771
Publish at: 2020-10-01

Prediction of rainfall using improved deep learning with particle swarm optimization

10.12928/telkomnika.v18i5.14665
Imam; Universitas Brawijaya Cholissodin , Sutrisno; Universitas Brawijaya Sutrisno
Rainfall is a natural factor that is very important for farmers or certain institutions to predict the planting period of a plant. The problem is that rainfall is very difficult to predict. Trials to get optimal rainfall prediction have been carried out by BMKG through research with variety of methods in various fields, including meteorology, climatology and geophysics. The results of the study unfortunately obtained a less optimal success rate in predicting rainfall. Today, there are many new methods for predicting events. These methods include Deep Learning (DL) and Particle Swarm Optimization (PSO). The use of the Deep Learning method is very susceptible to initial weights that are less than optimal, so it requires a process of optimization using a metaheuristic technique, which is the PSO algorithm, because this algorithm has a level of complexity that is much lower than genetic algorithms. In this study, this method is utilized to predict rainfall by determining the exact regression equation model according to the number of layers in hidden nodes based on the size of the kernel and the weight between the layers. This research is approved achieved get more optimal rainfall prediction results that those of previous research that without optimization with PSO.
Volume: 18
Issue: 5
Page: 2498-2504
Publish at: 2020-10-01

Support-vector machine and naïve bayes based diagnostic analytic of harmonic source identification

10.11591/ijeecs.v20.i1.pp1-8
Mohd Hatta Jopri , Abdul Rahim Abdullah , Jingwei Too , Tole Sutikno , Srete Nikolovski , Mustafa Manap
A harmonic source diagnostic analytic is a vital to identify the location and type of harmonic source in the power system. This paper introduces a comparison of machine learning (ML) algorithm which are support vector machine (SVM) and naïve bayes (NB). Voltage and current features are used as the input for ML are extracted from time-frequency representation (TFR) of S-transform. Several unique cases of harmonic source location are considered, whereas harmonic voltage and harmonic current source type-load are used in the diagnosing process. To identify the best ML, the performance measurement of the propose method including accuracy, specificity, sensitivity, and F-measure are calculated. The adequacy of the proposed methodology is tested and verified on IEEE 4-bust test feeder and each ML algorithm is executed for 10 times due to different partitions and to prevent any overfitting result.
Volume: 20
Issue: 1
Page: 1-8
Publish at: 2020-10-01

Hand gesture recognition using discrete wavelet transform and hidden Markov models

10.12928/telkomnika.v18i5.13725
Erizka Banuwati; Telkom University Candrasari , Ledya; Telkom University Novamizanti , Suci; Telkom University Aulia
Gesture recognition based on computer-vision is an important part of human-computer interaction. But it lacks in several points, that was image brightness, recognition time, and accuracy. Because of that goal of this research was to create a hand gesture recognition system that had good performances using discrete wavelet transform and hidden Markov models. The first process was pre-processing, which done by resizing the image to 128x128 pixels and then segmented the skin color. The second process was feature extraction using the discrete wavelet transform. The result was the feature value in the form of a feature vector from the image. The last process was gesture classification using hidden Markov models to calculate the highest probability of feature matrix which had obtained from the feature extraction process. The result of the system had 72% of accuracy using 150 training and 100 test data images that consist five gestures. The newness thing found in this experiment were the effect of acquisition and pre-processing. The accuracy had been escalated by 14% compared to Sebastien’s dataset at 58%. The increment effect propped by brightness and contrast value.
Volume: 18
Issue: 5
Page: 2265-2275
Publish at: 2020-10-01

A new algorithm for implementing message authentication and integrity in software implementations

10.12928/telkomnika.v18i5.15276
Alaa Wagih Abdul; Baghdad College of Economic Sciences University Qader , Israa Ezzat; Baghdad College of Economic Sciences University Salem , Haider Rasheed; Baghdad College of Economic Sciences University Abdulshaheed
IT systems and data that you store, and process are valuable resources that need protection. Validation and reliability of information are essential in networks and computer systems. The communicating is done by two parties via an unsafe channel require a way to validate the data spent by one party as valid (or unaltered) by the other party. In our study, we suggest new one-way defragmentation algorithm to implement message authentication and integration in program execution. These software applications are readily available and freely available because most of the hash functions are faster than their existing radioactive blocks.
Volume: 18
Issue: 5
Page: 2543-2548
Publish at: 2020-10-01

An innovative IoT service for medical diagnosis

10.11591/ijece.v10i5.pp4918-4927
Safia Abbas
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
Volume: 10
Issue: 5
Page: 4918-4927
Publish at: 2020-10-01

Modifying Hamming code and using the replication method to protect memory against triple soft errors

10.12928/telkomnika.v18i5.13345
Wael; Al-Ahliyya Amman University Toghuj
As technology scaling increases computer memory’s bit-cell density and reduces the voltage of semiconductors, the number of soft errors due to radiation induced single event upsets (SEU) and multi-bit upsets (MBU) also increases. To address this, error-correcting codes (ECC) can be used to detect and correct soft errors, while x-modular-redundancy improves fault tolerance. This paper presents a technique that provides high error-correction performance, high speed, and low complexity. The proposed technique ensures that only correct values get passed to the system output or are processed in spite of the presence of up to three-bit errors. The Hamming code is modified in order to provide a high probability of MBU detection. In addition, the paper describes the new technique and associated analysis scheme for its implementation. The new technique has been simulated, evaluated, and compared to error correction codes with similar decoding complexity to better understand the overheads required, the gained capabilities to protect data against three-bit errors, and to reduce the misdetection probability and false-detection probability of four-bit errors.
Volume: 18
Issue: 5
Page: 2533-2542
Publish at: 2020-10-01

Enhancing light sources color homogeneity in high-power phosphor-based white LED using ZnO particles

10.12928/telkomnika.v18i5.14198
Anh-Minh D.; Ton Duc Thang University Tran , Nguyen Doan Quoc; Ton Duc Thang University Anh , Nguyen; Posts and Telecommunications Institute of Technology Thi Phuong Loan
Color uniformity is one of the essentials for the on-going development of WLED. To achieve a high color uniformity index, increasing the scattering events within the phosphor layers was reported to be the most efficient method and in this article, ZnO is the chosen material to apply in this method. After analyzing the scattering properties through the scattering cross-section , scattering coefficient  and scattering phase function , the which outcomes comfirm that ZnO can enhance the scattered light in the phosphor layers. Moreover, the findings from the study of ZnO concentration from 2% to 26% suggest that color uniformity also depends on the fluctuation of ZnO concentration, therefore, to control color uniformity the focus should be implied on both size and concentration of ZnO. The experimental results from this research show that the luminous flux of WLED is at the peak if the concentration of ZnO is at 6%, and when the concentration of ZnO is at 18% and has 100 nm particles size, the ΔCCT reaches the lowest level. The final choice should be based on the desired characteristic of WLEDs, however, if the WLED need to excel in both luminous flux and ΔCCT then 6% ZnO concentration with particles size from 100 nm-300 nm is the optimal choice.
Volume: 18
Issue: 5
Page: 2628-2634
Publish at: 2020-10-01

An overview of internet of things

10.12928/telkomnika.v18i5.15911
Sebastian; Universidad Distrital Francisco Jose de Caldas Villamil , Cesar; Universidad Distrital Francisco José de Caldas Hernandez , Giovanny; Universidad Distrital Francisco Jose de Caldas Tarazona
The internet of things is an emerging technology that is currently present in most processes and devices, allowing to improve the quality of life of people and facilitating the access to specific information and services. The main purpose of the present article is to offer a general overview of internet of things, based on the analysis of recently published work. The added value of this article lies in the analysis of the main recent publications and the diversity of applications of internet of things technology. As a result of the analysis of the current literature, internet of things technology stands out as a facilitator in business and industrial performance but above all in improving the quality of life. As a conclusion to this document, the internet of things is a technology that can overcome the challenges in terms of security, processing capacity and data mobility, as long as the development related to other technologies follows its expected course.
Volume: 18
Issue: 5
Page: 2320-2327
Publish at: 2020-10-01

E-wallet: factors influencing user acceptance towards cashless society in Malaysia among public universities

10.11591/ijeecs.v20.i1.pp67-74
Norulhuda Abdullah , Fauziah Redzuan , Nor Aziah Daud
The evolution of financial technology into digital payment has led to a new era of cashless society. In line with the global trend, the Malaysian Government has been committed to strengthen the agenda of a cashless society by actively promoting the use of e-Wallet through the establishment of the interoperable credit transfer framework (ICTF) policy in 2018. Although e-Wallet has been implemented since 2016, several previous studies have found that the level of acceptance is still relatively low while the main factors that influence the acceptance of e-Wallet in Malaysia still remain unclear. This study aims to identify the factors that influence the acceptance of e-Wallet towards establishing cashless society in Malaysia. Online survey using closed-ended questionnaires have been conducted among 400 respondents from students and employees of Malaysian public universities in Klang Valley. Collected data have been analyzed using descriptive statistics and inferential statistics which consist of Factor Analysis, Pearson Correlation and Multiple Linear Regression in statistical package for the social sciences (SPSS). Based on the findings, four factors are found to significantly influence e-Wallet acceptance, which consist of performance expectancy (PE), social influence (SI), facilitating conditions (FC) and trust (T). facilitating conditions (FC) is the most influential significant factor behind the acceptance of e-Wallet among Malaysians.
Volume: 20
Issue: 1
Page: 67-74
Publish at: 2020-10-01

Cyber-physical system based on image recognition to improve traffic flow: A case study

10.11591/ijece.v10i5.pp5217-5226
Vladimir Sanchez Padilla , Ronald A. Ponguillo , Arnaldo A. Abad , Lissette E. Salas
Vehicular traffic in metropolitan areas turns congested along either paths or periods. As a case study, we have considered a mass transport system with a bus fleet that rides over exclusive lanes across streets and avenues in an urban area that does not allow the circulation of lightweight vehicles, cargo, and motorcycles. This traffic flow becomes congested due to the absence of restriction policies based on criteria. Moreover, the exclusive lanes are at ground level, decreasing lanes for other vehicles. The main objective of this proposal consists of controlling the access to the exclusive lanes by a cyber-physical system following authorization conditions, verifying the permission status of a vehicle by the accurate recognition of license plates to reduce traffic congestion. Therefore, in the case of invading an exclusive lane without permission, the vehicle owner gets a notification of the fine with the respective evidence.
Volume: 10
Issue: 5
Page: 5217-5226
Publish at: 2020-10-01

An adaptive anomaly request detection framework based on dynamic web application profiles

10.11591/ijece.v10i5.pp5335-5346
Cho Do Xuan , Nam Nguyen , Hoa Nguyen Dinh
Web application firewall is a highly effective application in protecting the application layer and database layer of websites from attack access. This paper proposes a new web application firewall deploying method based on Dynamic Web application profiling (DWAP) analysis technique. This is a method to deploy a firewall based on analyzing website access data. DWAP is improved to integrate deeply into the structure of the website to increase the compatibility of the anomaly detection system into each website, thereby improving the ability to detect abnormal requests. To improve the compatibility of the web application firewall with protected objects, the proposed system consists of two parts with the main tasks are: i) Detect abnormal access in web application (WA) access; ii) Semi-automatic update the attack data to the abnormal access detection system during WA access. This new method is applicable in real-time detection systems where updating of new attack data is essential since web attacks are increasingly complex and sophisticated.
Volume: 10
Issue: 5
Page: 5335-5346
Publish at: 2020-10-01

Performance assessment of an optimization strategy proposed for power systems

10.12928/telkomnika.v18i5.14396
Harold; Universidad Distrital Franciso José de Caldas Puin , Cesar; Universidad Distrital Franciso José de Caldas Hernandez
In the present article, the selection process of the topology of an artificial neural network (ANN) as well as its configuration are exposed. The ANN was adapted to work with the Newton Raphson (NR) method for the calculation of power flow and voltage optimization in the PQ nodes of a 10-node power system represented by the IEEE 1250 standard system. The purpose is to assess and compare its results with the ones obtained by implementing ant colony and genetic algorithms in the optimization of the same system. As a result, it is stated that the voltages in all system nodes surpass 0,99 p.u., thus representing a 20% increase in the optimal scenario, where the algorithm took 30 seconds, of which 9 seconds were used in the training and validation processes of the ANN.
Volume: 18
Issue: 5
Page: 2729-2736
Publish at: 2020-10-01
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