Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,734 Article Results

Image forgery detection using error level analysis and deep learning

10.12928/telkomnika.v17i2.8976
Ida Bagus Kresna; Universitas Atma Jaya Yogyakarta Sudiatmika , Fathur; Universitas Atma Jaya Yogyakarta Rahman , Trisno; Universitas Atma Jaya Yogyakarta Trisno , Suyoto; Universitas Atma Jaya Yogyakarta Suyoto
Many images are spread in the virtual world of social media. With the many editing software that allows so there is no doubt that many forgery images. By forensic the image using Error Level Analysis to find out the compression ratio between the original image and the fake image, because the original image compression and fake images are different. In addition to knowing whether the image is genuine or fake can analyze the metadata of the image, but the possibility of metadata can be changed. In this case the authors apply Deep Learning to recognize images of manipulations through the dataset of a fake image and original images via Error Level Analysis on each image and supporting parameters for error rate analysis. The result of our experiment is that we get the best accuracy of training 92.2% and 88.46% validation by going through 100 epoch.
Volume: 17
Issue: 2
Page: 653-659
Publish at: 2019-04-01

Calculating of stress intensity factors of soldered joints with multiple cracks

10.11591/ijeecs.v14.i1.pp284-289
Al Emran Ismail , Saifulnizan Jamian , Kamarul Azhar Kamarudin , Mohd Khir Mohd Nor , Mohd Norihan Ibrahim , Ahmad Mubarak Tajul Arifin , Mohd Fahrul Hassan , Mohd Rasidi Ibrahim , Mohammad Zulafif Rahim
This paper presents the solution of stress intensity factors of multiple cracks at the joint between two materials. Based on the literature survey, there are tremendous number of works found on the study of edge and central cracks. On the other hand, several papers on the multiple cracks can be also be found in open literature. However, the work on multiple cracks with different crack sizes are hard to find. Therefore, this paper focuses to study the crack interaction obtained from different crack sizes. ANSYS APDL is used to model and solve the problems considering the cracks embedded in the plain strain plate under tension stress. There are two important parameters are considered such crack sizes and mechanical mismatches between joint and based materials. Since the crack is symmetrical, only a quarter model is used and verified. Based on the numerical simulation, it is found that two factors are significantly affected the multiple cracks at the joints such as mechanical mismatches and relative crack sizes.
Volume: 14
Issue: 1
Page: 284-289
Publish at: 2019-04-01

The strategy of enhancing article citation and H-index on SINTA to improve tertiary reputation

10.12928/telkomnika.v17i2.9761
Untung; Sekolah Tinggi Manajemen Informatika dan Komputer Raharja Rahardja , Eka Purnama; Sekolah Tinggi Manajemen Informatika dan Komputer Raharja Harahap , Shylvia Ratna; Sekolah Tinggi Manajemen Informatika dan Komputer Raharja Dewi
Development of technology as it is today, most students or lecturers in education community write documents or articles digitally. However, there are still many obstacles when searching for a legitimate source of reference and to know whether it contains plagiarism or not. Until present, there are still many students and lecturers who seek references from sources that have not been valid and not yet trusted, but it is considered a fatal mistake for writing articles and also writing thesis or dissertation from untrusted resources. Therefore, Google Scholar system helps to alleviate this problem. Google also facilitates the use of citations or references. The purpose of this research is to identify the number of citation H-Index owned by lecturers at tertiary education and score ranking achieved at tertiary education SINTA (Science and Technology Index) Ristekdikti. Citing an article from another publication is one form of scientific communication by the author or researcher. The large number of citations obtained from an article published in the publication indicates how significant the contributions of the author in improving the quality of the study field. In this study, citation analysis is used as an analysis of all citations which indicate the type of information sources used by students and lecturers in writing the journal as a result of their research. The following research use two methods of analysis: Mind Mapping methods and SWOT Analysis. After conducting research and executing the research strategy, it will result in improving the reputation by increasing the number of citation and lecturer H-Index at Google Scholar which can automatically also increase the affiliations of authors at tertiary education in Google Scholar. Lecturers who have already verified authors in SINTA (Science and Technology Index) Ristekdikti can contribute in improving the rank and number of tertiary education scores on Ristekdikti Science and Technology Index (SINTA). This research produces a comprehensive and straightforward mathematical formula that can be used in understanding SINTA index calculation which will hence improve the enthusiasm of education community in pursuing research as a team as well as individually. Hopefully, with this research, students and lecturers are able to increase their citation and H-index on articles in publications so as to contribute in improving the reputation and quality of universities in the countries.
Volume: 17
Issue: 2
Page: 683-692
Publish at: 2019-04-01

A scoring rubric for automatic short answer grading system

10.12928/telkomnika.v17i2.11785
Uswatun; STMIK Amikom Purwokerto Hasanah , Adhistya Erna; Gadjah Mada University Permanasari , Sri Suning; Gadjah Mada University Kusumawardani , Feddy Setio; Gadjah Mada University Pribadi
During the past decades, researches about automatic grading have become an interesting issue. These studies focuses on how to make machines are able to help human on assessing students’ learning outcomes. Automatic grading enables teachers to assess student's answers with more objective, consistent, and faster. Especially for essay model, it has two different types, i.e. long essay and short answer. Almost of the previous researches merely developed automatic essay grading (AEG) instead of automatic short answer grading (ASAG). This study aims to assess the sentence similarity of short answer to the questions and answers in Indonesian without any language semantic's tool. This research uses pre-processing steps consisting of case folding, tokenization, stemming, and stopword removal. The proposed approach is a scoring rubric obtained by measuring the similarity of sentences using the string-based similarity methods and the keyword matching process. The dataset used in this study consists of 7 questions, 34 alternative reference answers and 224 student’s answers. The experiment results show that the proposed approach is able to achieve a correlation value between 0.65419 up to 0.66383 at Pearson's correlation, with Mean Absolute Error (𝑀𝐴𝐸) value about 0.94994 until 1.24295. The proposed approach also leverages the correlation value and decreases the error value in each method.
Volume: 17
Issue: 2
Page: 763-770
Publish at: 2019-04-01

Healthy life expectancy vs health expenditure by sullivan method in Malaysia

10.11591/ijeecs.v14.i1.pp402-406
Muhammad Hakeem Omar , Nurin Haniah Asmuni , Sharifah Nazatul Shima
The improvement of mortality rates in many countries over the world has a major impact on cost associated with living longer due to mortality and morbidity risk. In particular, the trend in life expectancy of Malaysian population has steadily increased for many years where in 2017, Malaysian are expected to live up to 74.8 years compared to 74.3 years in 2011. Life expectancy can be defined as the average period of a person may expect to live, while the definition of disability-free life expectancy is the average number of years a person is expected to live without health disability.  If a person takes a good care and services through the advancement of medical technology, it may expend the period of life expectancy for a person. Thus, longevity may have a positive relationship with health expenditure. United State for instance spends more on health across years, however United State becomes the outlier as compared to other countries with higher percentage of increase in life expectancy per dollar spent on health expenditure. Disability or disability-free life expectancy can rise at certain degree among Malaysian. The general public do not know whether longevity will expose a person to a greater period spend in disability state or not. Therefore, this paper presents healthy life expectancy vs. health expenditure by Sullivan method in Malaysia to provide further understanding of morbidity rate for Malaysian population due to longevity. This paper calculates the disability-free life expectancy for Malaysian population which then will be used in country comparison. Relationship between disability-free life expectancy and health expenditure will be studied. Sullivan method will be applied in the calculation by using a period life table based on age and gender groups.
Volume: 14
Issue: 1
Page: 402-406
Publish at: 2019-04-01

Information technology investment analysis of hospitality using information economics approach

10.12928/telkomnika.v17i2.7247
Eva; Darma Persada University Novianti , Ahmad Nurul; Bina Nusantara University Fajar
This study aims to determine the feasibility of IT investment in hospitality and determine the value and tangible/ intangible benefits from IT implementation. Problem arises from high investment without knowing the real impact and future investment to IT development. The scope of this research is information technology investment in five star hotel in Jakarta. The data were collected by distributing questionnaires to the research samples, are Grand Hyatt Hotel, Mandarin Oriental Hotel and Ayana Midplaza Hotel Jakarta. The analysis uses the information economics (IE) approach that combines financially and non-financial calculations to determine the feasibility of IT investment and the benefits of IT for 5-star hotels in Jakarta. From the analysis result, it can be concluded that five star hotel in Jakarta is feasible to make IT investment with ROI score more than 1 and scorecard value 28 which shows that IT investment in 5-star hotel is quite beneficial for hotel business process.
Volume: 17
Issue: 2
Page: 609-614
Publish at: 2019-04-01

Regression test selection model: a comparison between ReTSE and pythia

10.12928/telkomnika.v17i2.10332
Amir; Universiti Malaysia Terengganu (UMT) Ngah , Malcolm; Durham University Munro , Zailani; Universiti Malaysia Kelantan Abdullah , Masita A.; Universiti Malaysia Terengganu Jalil , Mohamad; Al-Zaytoonah University of Jordan Abdallah
As software systems change and evolve over time regression tests have to be run to validate these changes. Regression testing is an expensive but essential activity in software maintenance. The purpose of this paper is to compare a new regression test selection model called ReTSE with Pythia. The ReTSE model uses decomposition slicing in order to identify the relevant regression tests. Decomposition slicing provides a technique that is capable of identifying the unchanged parts of a system. Pythia is a regression test selection technique based on textual differencing. Both techniques are compare using a Power program taken from Vokolos and Frankl’s paper. The analysis of this comparison has shown promising results in reducing the number of tests to be run after changes are introduced.
Volume: 17
Issue: 2
Page: 844-851
Publish at: 2019-04-01

Comparative study of symmetrical OTA performance in 180 nm, 130 nm and 90 nm CMOS technology

10.11591/ijeecs.v14.i1.pp230-240
Wan Mohammad Ehsan Aiman bin Wan Jusoh , Siti Hawa Ruslan , Nabihah Ahmad , Warsuzarina Mat Jubadi , Rahmat Sanudin
In this paper, the comparative study of symmetrical Operational Transconductance Amplifier (OTA) performance between 180 nm, 130 nm and 90 nm CMOS technology have been done thoroughly to find the relationship between voltage supply and bias current with performance parameters (gain, power consumption and Common-Mode Rejection Ratio (CMRR)). The OTA which adopts symmetrical topology is designed carefully and simulated using Synopsys HSpice software and the results are carefully analyzed and compared. The symmetrical OTA designed in 90 nm CMOS technology is found to be the best because the power consumed is only 9.83 µW from ±0.9 V voltage supply and the OTA achieved 55.9 dB of the DC gain. The CMRR of the symmetrical 90 nm OTA is 140 dB which is sufficient to reject the common-mode signals in electrocardiogram (ECG) input signal. The symmetrical 90 nm OTA is suitable to be implemented as bioamplifier in ECG signal detection system as it consumed low power and has a high CMRR characteristic.
Volume: 14
Issue: 1
Page: 230-240
Publish at: 2019-04-01

Coordination of blade pitch controller and battery energy storage using firefly algorithm for frequency stabilization in wind power systems

10.12928/telkomnika.v17i2.9162
Teguh Aryo; Universitas Pertamina Nugroho , Rahmat Septian; Universitas Pertamina Wijanarko , Herlambang; The University of Queensland Setiadi
Utilization of renewable energy sources (RESs) to generate electricity is increasing significantly in recent years due to global warming situation all over the world. Among RESs type, wind energy is becoming more favorable due to its sustainability and environmentally friendly characteristics. Although wind power system provides a promising solution to prevent global warming, they also contribute to the instability of the power system, especially in frequency stability due to uncertainty characteristic of the sources (wind speed). Hence, coordinated controller between blade pitch controller and battery energy storage (BES) system to enhance the frequency performance of wind power system is proposed in this work. Firefly algorithm (FA) is used as optimization method for achieving better coordination. From the investigated test systems, the frequency performance of wind power system can be increased by applying the proposed method. It is noticeable that by applying coordinated controller between blade pitch angle controller and battery energy storage using firefly algorithm the overshoot of the frequency can be reduced up to -0.2141 pu and accelerate the settling time up to 40.14 second.
Volume: 17
Issue: 2
Page: 1014-1022
Publish at: 2019-04-01

Simulation and analysis of the possibilities of traction electric motor

10.11591/ijeecs.v14.i1.pp51-58
Ayman Al-Rawashdeh
Great efforts are directed to word the use of electrical vehicles in transportation. Mathematical modeling tools can provide a powerful approach for investigating electrical vehciles and are successfully implemented by applying Matlab/Simulink. In this paper, the mathematical simulation model of Series Excited DC motor (tractive motor) on Matlab/Simulink was implemented and investigated. The main objective of this study is to assess the use of Series Excited DC motor (tractive motor) to be used for the new Amman city express bus project and evaluation of its performance characteristics in different running and loading cases. All simulation results are plotted and discussed. This study confirms the feasibility for the use of series excited DC motor (tractive motor) in electric buses as alternatives for sustaibale and environmentally friendly transportation system.
Volume: 14
Issue: 1
Page: 51-58
Publish at: 2019-04-01

Data stream mining techniques: a review

10.12928/telkomnika.v17i2.11752
Eiman; United Arab Emirates University Alothali , Hany; United Arab Emirates University Alashwal , Saad; United Arab Emirates University Harous
A plethora of infinite data is generated from the Internet and other information sources. Analyzing this massive data in real-time and extracting valuable knowledge using different mining applications platforms have been an area for research and industry as well. However, data stream mining has different challenges making it different from traditional data mining. Recently, many studies have addressed the concerns on massive data mining problems and proposed several techniques that produce impressive results. In this paper, we review real time clustering and classification mining techniques for data stream. We analyze the characteristics of data stream mining and discuss the challenges and research issues of data steam mining. Finally, we present some of the platforms for data stream mining.
Volume: 17
Issue: 2
Page: 728-737
Publish at: 2019-04-01

Hybrid backpropagation neural network-particle swarm optimization for seismic damage building prediction

10.11591/ijeecs.v14.i1.pp360-367
Marina Yusoff , Faris Mohd Najib , Rozaina Ismail
The evaluation of the vulnerability of buildings to earthquakes is of prime importance to ensure a good plan can be generated for the disaster preparedness to civilians. Most of the attempts are directed in calculating the damage index of buildings to determine and predict the vulnerability to certain scales of earthquakes. Most of the solutions used are traditional methods which are time consuming and complex. Some of initiatives have proven that the artificial neural network methods have the potential in solving earthquakes prediction problems. However, these methods have limitations in terms of suffering from local optima, premature convergence and overfitting. To overcome this challenging issue, this paper introduces a new solution to the prediction on the seismic damage index of buildings with the application of hybrid back propagation neural network and particle swarm optimization (BPNN-PSO) method. The prediction was based on damage indices of 35 buildings around Malaysia. The BPNN-PSO demonstrated a better result of 89% accuracy compared to the traditional backpropagation neural network with only 84%. The capability of PSO supports fast convergence method has shown good effort to improve the processing time and accuracy of the results.
Volume: 14
Issue: 1
Page: 360-367
Publish at: 2019-04-01

A novel approach of multiplier design based on BCD decoder

10.11591/ijeecs.v14.i1.pp38-43
Salah Alkurwy
A novel approach of multiplier design is presented in this paper. The design idea is implemented based on binary coded decimal (BCD) decoder to seven segment display, by computing all the probability of multiplying 3 3 binary digits bits and grouping in table rows. The obtaining of the combinational logic functions is achieved by simplified the generated columns of [A5: A0], using a Karnaugh map. Then, the 3 3-bits multiplier circuit is used to implement the 6x6- and 12x 12-bit multipliers. Comparing with a conventional multiplier, the proposed design outperformed in terms of the time delay by a 32% and 41.8% respectively. It is also reduced the combinational adaptive look-up-tables (ALUTs) by 24.6%, and 46% for both multipliers. Both overmentioned advantages make the proposed multipliers more attractive and suitable for high-speed digital systems      
Volume: 14
Issue: 1
Page: 38-43
Publish at: 2019-04-01

Survey on replication techniques for distributed system

10.11591/ijece.v9i2.pp1298-1303
Ahmad Shukri Mohd Noor , Nur Farhah Mat Zian , Fatin Nurhanani M. Shaiful Bahri
Distributed systems mainly provide access to a large amount of data and computational resources through a wide range of interfaces. Besides its dynamic nature, which means that resources may enter and leave the environment at any time, many distributed systems applications will be running in an environment where faults are more likely to occur due to their ever-increasing scales and the complexity. Due to diverse faults and failures conditions, fault tolerance has become a critical element for distributed computing in order for the system to perform its function correctly even in the present of faults. Replication techniques primarily concentrate on the two fault tolerance manners precisely masking the failures as well as reconfigure the system in response. This paper presents a brief survey on different replication techniques such as Read One Write All (ROWA), Quorum Consensus (QC), Tree Quorum (TQ) Protocol, Grid Configuration (GC) Protocol, Two-Replica Distribution Techniques (TRDT), Neighbour Replica Triangular Grid (NRTG) and Neighbour Replication Distributed Techniques (NRDT). These techniques have its own redeeming features and shortcoming which forms the subject matter of this survey.
Volume: 9
Issue: 2
Page: 1298-1303
Publish at: 2019-04-01

Emotional augmented reality-based mobile learning design elements: a kansei engineering approach

10.11591/ijeecs.v14.i1.pp413-420
Fauziah Redzuan , An-Nur Atiqah Khairuddin , Nor Aziah Daud
In recent times, various studies have shown that Augmented Reality (AR) will be the next wave of online learning. This is because of the advent of powerful smartphones that has changed user experiences, thereby able to increase the capability of AR. There has been much concentration in previous studies on cognition towards the use of AR in education, in which little consideration has been given to emotions which is also an important aspect in learning. Based on this, the present research aims to identify salient connections between emotions and design elements of AR-based mobile learning material through the application of the Kansei Engineering (KE) approach. In order to achieve this study objective, the use of a human heart in relation to the mobile AR application of the KE approach was adopted in this research as a case study, in which seven specimens of the mobile AR application were evaluated including 55 emotions of Kansei Words (KW). Additionally, the kansei evaluation experiment of this study was carried out by 28 students from one of the public universities, after which the data were analysed using Factor and Principal Component Analysis. The results of this study show the important pillars of emotions or Kansei semantic space of emotions for AR-based mobile learning materials. Based on Factor Analysis, it revealed four main pillars; professional-motivated, confused, wandering-thrilled, challenging and one additional pillar; trustable. Besides that, this research also described design elements of AR-based mobile learning material that might evoke specific emotions based on the identified pillars. Finally, the findings of this research are hoped to be applicable as a guide in design during preparation of AR-based mobile learning materials with affective elements in the future.
Volume: 14
Issue: 1
Page: 413-420
Publish at: 2019-04-01
Show 1311 of 1983

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration