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29,734 Article Results

Cluster-based water level patterns detection

10.12928/telkomnika.v17i3.11774
Friska Natalia; Universitas Multimedia Nusantara Ferdinand , Yustinus; Universitas Multimedia Nusantara Soelistio , Ferry Vincenttius; Universitas Pelita Harapan Ferdinand , I Made; Universitas Pelita Harapan Murwantara
Indonesian Disaster Data and Information in 2016 showed that flood has reached a soaring 32.2% overall. In one of the common flood region (2016), Tangerang, the flood had impacted 30,949, and destroys more than 400 residentials. In spite of this dreadful fact, Tangerang has no systematically ways of detecting the flood patterns. Therefore, there is urgency for a system that is able to detect potential flood risks in Tangerang. This study explores a mean to systematically find flood patterns in Tangerang and attempt to visualize the risks based on 11 years of data on four major river stations within Tangerang vicinity. All the data obtained from Ciliwung Cisadane River Basin Center (BBWS) between 2009 until 2017 with total data of 368,184 rows. This study proposes an interactive dashboard based on the water level data covering rivers of Angke, Pesanggrahan, and Cisadane. Three clustering methods are implemented, the K-Medoids, DBScan, and x-means, to segregate the water level data, taken from four stations obtained from Ciliwung Cisadane River Basin Center (BBWS), into meaningfull periodic flood patterns. The output of this research is an interactive dashboard created based on the newly found patterns. The dashboard is designed to be simple and easy to use for non-technical persons. We believe that the output of this research could be implemented into the decision-making process taken by the Ciliwung Cisadane River Basin Center (BBWS) in order to improve countermeasure attempts on the potentially flooded areas.
Volume: 17
Issue: 3
Page: 1376-1384
Publish at: 2019-06-01

Systematic literature review on designing trust-based security for WSNs

10.11591/ijeecs.v14.i3.pp1395-1404
Raja waseem Anwar , Anazida Zainal , Saleem Iqbal
The study assessed the design and development of trust-based security for wireless sensor networks. A qualitative approach was opted by employing systematic review analysis, which was assessed using secondary data collection. The design and development of trust-based security were mainly targeted, and 140 publications were randomly reviewed, from which 24 studies were finalized after excluding irrelevant data and studies that only contained abstracts. The results were analyzed focusing on the designs, applications and protocols and trust factors. Different studies have been evaluated, which have suggested that proper design and development of trust-based security should be the foremost aim to be applied in user environments. The study suggested that designing the trust management models based on the taxonomy of routing applications and relevant algorithms could be a part of future investigations.
Volume: 14
Issue: 3
Page: 1395-1404
Publish at: 2019-06-01

A new agglomerative hierarchical clustering to model student activity in online learning

10.12928/telkomnika.v17i3.9425
Agung; Universitas Nasional Triayudi , Iskandar; Universitas Nasional Fitri
In this paper, a new technique of agglomerative hierarchical clustering (AHC), which is known as SLG (single linkage dissimilarity increment distribution, global cumulative score standard), can work well in analyzing students' activity in online learning as evidenced by obtaining the highest score in testing the validity index of cophenetic correlation coefficient (CPCC) ie 0.9237, 0.9015, 0.9967, 0.8853, 0.9875 of the five datasets compared with conventional agglomerative hierarchical clustering methods.
Volume: 17
Issue: 3
Page: 1226-1235
Publish at: 2019-06-01

Effect of kernel size on Wiener and Gaussian image filtering

10.12928/telkomnika.v17i3.11192
Zayed M.; Al-Ahliyya Amman University Ramadan
In this paper, the effect of the kernel size of Wiener and Gaussian filters on their image restoration qualities has been studied and analyzed. Four sizes of such kernels, namely 3x3, 5x5, 7x7 and 9x9 were simulated. Two different types of noise with zero mean and several variances have been used: Gaussian noise and speckle noise. Several image quality measuring indices have been applied in the computer simulations. In particular, mean absolute error (MAE), mean square error (MSE) and structural similarity (SSIM) index were used. Many images were tested in the simulations; however the results of three of them are shown in this paper. The results show that the Gaussian filter has a superior performance over the Wiener filter for all values of Gaussian and speckle noise variances mainly as it uses the smallest kernel size. To obtain a similar performance in Wiener filtering, a larger kernel size is required which produces much more blur in the output mage. The Wiener filter shows poor performance using the smallest kernel size (3x3) while the Gaussian filter shows the best results in such case. With the Gaussian filter being used, similar results of those obtained with low noise could be obtained in the case of high noise variance but with a higher kernel size.
Volume: 17
Issue: 3
Page: 1455-1460
Publish at: 2019-06-01

Adaptive robust nonsingular terminal sliding mode design controller for quadrotor aerial manipulator

10.12928/telkomnika.v17i3.10470
Samah; Université M’HAMED Riache , Madjid; Université M’HAMED Kidouche , Amar; Centre de développement des technologies avancées Rezoug
In this paper, a novel adaptive control approach for Unmanned Aerial Manipulators (UAMs) is proposed. The UAMs are a new configuration of the Unmanned Arial Vehicles (UAVs) which are characterized by several inhered nonlinearities, uncertainties and coupling. The studied UAM is a Quadrotor endowed with two degrees of freedom robotic arm. The main objectives of our contribution are to achieve both a tracking error convergence by avoiding any singularity problem and also the chattering amplitude attenuation in the presence of perturbations. Therefore, the proposed Adaptive Nonsingular Terminal Super-Twisting controller (ANTSTW) consists of the hybridization of a Nonsingular Terminal Sliding Mode Control and an Adaptive Super Twisting. The adaptive law, which adjust the Super-Twisting’s parameters, is obtained by using stability Lyapunov theorem. Simulation experiments in trajectory tracking mode were realized and compared with Nonsingular Terminal Super-twisting control to prove the superiority and the effectiveness of the proposed approach.
Volume: 17
Issue: 3
Page: 1501-1512
Publish at: 2019-06-01

PID-based temperature control device for electric kettle

10.11591/ijece.v9i3.pp1683-1693
Mohd Badril Nor Shah , Norfahaniza Zailany , Amar Faiz Zainal Abidin , Mohd Firdaus Halim , Khalil Azha Annuar , Arman Hadi Azahar , Muhamad Haniff Harun , Muhammad Faizal Yaakub
A normal electric kettle usually is intended to boil water until boiling point and cannot be controlled. Most of the kettle does not provide the temperature display for user to track the current temperature reading. Thus, this project is inspired from the shortcoming of most kettles that are sold at the market. By using Arduino microcontroller, a device is developed to control water temperature inside electric kettle. To provide automated temperature control, PID controller is chosen since it can provides precise water temperature control with less fluctuation. The device is also equipped with the display of the current water temperature and desired temperature. The device is tested to an electric kettle and the performance of PID controller in controlling water temperature is compared to on-off controller. An analysis is performed based on the amount of fluctuation with respect to desired temperature to verify the efficacy of the designed circuit and controller. It is found that the developed device and PID controller are capable to control the water temperature inside kettle based on the desired temperature set by user with less amount of fluctuation
Volume: 9
Issue: 3
Page: 1683-1693
Publish at: 2019-06-01

Low cost NodeMcu based development water rocket measurement system applied to STEM education

10.12928/telkomnika.v17i3.12227
Andi; Universitas Respati Indonesia Susilo , Yasmiati; Universitas Respati Indonesia Yasmiati , Ahmad; Universitas Respati Indonesia Apandi
Water rockets have become one of learning tools for STEM Education in schools. Generally water rockets make in school activity have no parachute load, altitude, and velocity measurement. Rocket can go any direction and also will cause hard collision to the ground that break the high speed rocket. It will take time and need more cost to make a new one for students. This study propose the low cost NodeMcu based water rocket measurement system to solve the problem. Altitude and velocity measurement are added and deployment system to release the parachute to make water rocket fall to the ground smoothly. Smartphone application used to monitor altitude and velocity of water rocket. Variables consist of water volume and air pressure. Five experiments had been conducted and recorded. The result found that the system could calculate Altitude, Velocity, and Deployment System also could release the parachute automatically in Coasting Descent position.
Volume: 17
Issue: 3
Page: 1513-1520
Publish at: 2019-06-01

Evaluation model of career counseling program in vocational high school

10.11591/ijere.v8i2.14986
Sri Tutur Martaningsih , Soenarto Soenarto , Edi Istiyono
ocational high school graduates are expected to readily enter the work field, nevertheless, the number of unemployment from vocational high school graduates is still big. Optimizing a career guidance service requires complete evaluation feedback. In detail, this research aims to: identifying a construct instrument applicable to evaluate a career guidance program at vocational high school; Developing an evaluation model; and Examining the measurement, structure and the effectivity of the model. The research’s approach and development employ Borg & Gall’s Model. The test toward the product is addressed to nine vocational high schools in Yogyakarta. The validity and reliability instruments are verified through expert judgment, alpha Cronbach analysis, Exploratory Factor Analysis (EFA), testing the measurement model, and for the structural model, it is verified by means of partial least square (PLS) SmartPLS 3.0. The product constitutes a career guidance evaluation model at vocational high school, complete with its application, manipulation, and analysis up to recommendation construction. The result of the EFA test shows six measurement factors of counseling service: assertiveness, career readiness, self-awareness, career awareness, work characteristics, and positive attitude towards guidance and counseling service. The quality instrument product of TADIPHE consists of the target component (3 items), assessment (13 items), design (13 items), installation (22 items) process (44 items), the result (70 items), and effectiveness of the program (7 items). The result of the partial least square shows that all predictors contribute (Q2) as much as 88.91%, and 11.09 % and the rest may be determined by other variables.
Volume: 8
Issue: 2
Page: 318-329
Publish at: 2019-06-01

An implementation of novel genetic based clustering algorithm for color image segmentation

10.12928/telkomnika.v17i3.10072
Varshali; RGPV Jaiswal , Varsha; RGPV Sharma , Sunita; SGSITS Varma
The color image segmentation is one of most crucial application in image processing. It can apply to medical image segmentation for a brain tumor and skin cancer detection or color object detection on CCTV traffic video image segmentation and also for face recognition, fingerprint recognition etc. The color image segmentation has faced the problem of multidimensionality. The color image is considered in five-dimensional problems, three dimensions in color (RGB) and two dimensions in geometry (luminosity layer and chromaticity layer). In this paper the, L*a*b color space conversion has been used to reduce the one dimensional and geometrically it converts in the array hence the further one dimension has been reduced. The a*b space is clustered using genetic algorithm process, which minimizes the overall distance of the cluster, which is randomly placed at the start of the segmentation process. The segmentation results of this method give clear segments based on the different color and it can be applied to any application.
Volume: 17
Issue: 3
Page: 1461-1467
Publish at: 2019-06-01

Improving of classification accuracy of cyst and tumor using local polynomial estimator

10.12928/telkomnika.v17i3.12240
Nur; Airlangga University Chamidah , Kinanti Hanugera; Airlangga University Gusti , Eko; Airlangga University Tjahjono , Budi; University of Jember Lestari
Cyst and tumor in oral cavity are seriously noticed by health experts along with increasing death cases of oral cancer in developing country. Early detection of cyst and tumor using dental panoramic image is needed since its initial growth does not cause any complaints. Image processing is done by mean for distinguishing the classification of cyst and tumor. The results in previous studies about classification of cyst and tumor were done by using a mathematical computation approach namely supports vector machine method that have still not satisfied and have not been validated. Therefore, in this study we propose a method, i.e., nonparametric regression model based on local polynomial estimator that can be improve the classification accuracy of cyst and tumor on human dental panoramic image. By using the proposed method, we get the classification accuracy of cyst and tumor, i.e., 90.91% which is greater than those by using the support vector machine method, i.e., 76.67%. Also, in validation process we obtain that the nonparametric regression model approach gives a significant Press’s Q statistical testing value. So, we conclude that the nonparametric regression model approach improves the classification accuracy and gives better outcome to classify cyst and tumor using dental panoramic image than the support vector machine method.
Volume: 17
Issue: 3
Page: 1492-1500
Publish at: 2019-06-01

By two: A two-dimensional mobile game model for novice developers

10.11591/ijeecs.v14.i3.pp1336-1344
Abdallah Qusef , Abdallah Ayasreh , Adnan Shaout , Muhanna Muhanna
The objective of this research was to discuss the processes and challenges encountered in the creation of mobile games for both Android and iOS platforms, which would help the novice game developers to enter the big world of mobile game industry. We highlighted each phase of the mobile game development. These involved suggestions on efficient brainstorming of ideas, proper selection of game engine, game design, number and type of pages, creation of levels, and distribution of complexity across the game level. In addition, other factors were considered such as the creation of User Interface and User Experience (UI/UX) as well as definition of the screen object’s sizes and positions that would be suitable in all mobile devices. The importance of agile cycles of alpha and beta testing was also discussed, particularly its influence on the enhancement of game features. However, a successful game is recognized based on its earnings. Hence, a guide on how to properly market the game was also included. A model game called “By Two” was used in this study to illustrate and explain the steps in detail.
Volume: 14
Issue: 3
Page: 1336-1344
Publish at: 2019-06-01

Lung diseases detection caused by smoking using support vector machine

10.12928/telkomnika.v17i3.9799
Sri; Citra Medika Surakarta Medical Records and Health Information Academy Widodo , Ratnasari Nur; Muhammadiyah Surakarta University Rohmah , Bana; Muhammadiyah Surakarta University Handaga , Liss Dyah Dewi; Citra Medika Surakarta Medical Records and Health Information Academy Arini
Type of lung disease is very much manifold, but type of lung disease caused by smoking there are only 4, namely Bronchitis, Pneumonia, Emphysema and Lung Cancer. Doctors usually diagnose lung disease from CT scans using the naked eye, then interpret data one by one.This procedure is not effective. The aim of this research is improvement accuracy of lung diseases detection caused by smoking using support vector machine on computed tomography scan (CT scan) images. This study includes 4 (four) main points. First is the development of software for segmentation of lung organ automatically using Active Shape Model (ASM) method. Second is the segmentation of candidates who are considered illness by using Morphology Mathematics. The third process of lung disease detection using Support Vector Machine (SVM). Fourth is visualization of disease or lung disorder using Volume Rendering.
Volume: 17
Issue: 3
Page: 1256-1266
Publish at: 2019-06-01

GNSS interference reduction method for CORS site planning

10.12928/telkomnika.v17i3.11744
Reza; PTE (Centre of Electronics Technology) BPPT Septiawan , Agung; BIG (Badan Informasi Geospasial/ Indonesian Agency for Geospatial Information) Syetiawan , Arief; PTE (Centre of Electronics Technology) BPPT Rufiyanto , Nashrullah; PTE (Centre of Electronics Technology) BPPT Taufik , Budi; PTE (Centre of Electronics Technology) BPPT Sulistya , Erik Madyo; PTE (Centre of Electronics Technology) BPPT Putro
Precision, Navigation, and Timing (PNT) system based on Global Navigation Satellite System (GNSS) becomes significant in the air, land, and sea traffic management. Integrity of GNSS is significant to provide a reliable real time PNT system such as CORS (Continuously Operating Reference Stations). GNSS Interference due to intentional or unintentional surrounding signal source may decrease the integrity of GNSS signal. Monitoring and identification of potential GNSS interference sources in the surrounding environment of CORS is significant. This paper proposed a methodology to reduce potential GNSS interference in a planned CORS site by first simulating the radiation pattern of potential source of interference to GNSS signal in the planned CORS sites. Thereafter ambient noise levels in the location of CORS may be measured to provide a reference point for analyzing the other potential sources of interferences. Based on these results, optimal location of CORS is chosen with the lowest possible unintentional interference signal from their surrounding. Measurement has been conducted in the location of CORS owned by BIG (Indonesian Agency for Geospatial Information), which is located in the rooftop of a building neara telecommunication tower.This method is necessary for CORS site planning to reduce potential GNSS interference sources in the environment of alternative sites.
Volume: 17
Issue: 3
Page: 1159-1167
Publish at: 2019-06-01

Teacher candidates’ state of using digital educational games

10.11591/ijere.v8i2.19260
Ayşe Alkan , Hüseyin Mertol
The rapidly developing information technologies of our age offer new opportunities in every aspect of our lives. The use of information technologies in educational environments is an important element in creating enriched learning environments. Educational digital games used in teaching-learning environments help students to develop motivation, problem-solving, strategy development skills and creativity. The purpose of this research was to determine the teacher candidates’ state of using digital educational games. The study group of the research consisted of 4th-grade teacher candidates who are studying in the social sciences and classroom teaching departments of Süleyman Demirel University during the 2018/2019 academic year. It has been found that men teacher candidates were more positive than women teacher candidates. Teacher candidates studying social sciences were more positive than those studying classroom teaching. Although teacher candidates were concerned about using educational digital games, they were eager to use these games.
Volume: 8
Issue: 2
Page: 344-350
Publish at: 2019-06-01

Clustering analysis of learning style on anggana high school student

10.12928/telkomnika.v17i3.9101
Siti; STMIK Widya Cipta Dharma Lailiyah , Ekawati; STMIK Widya Cipta Dharma Yulsilviana , Reza; Politeknik Negeri Pertanian Samarinda Andrea
The inability of students to absorb the knowledge conveyed by the teacher is’nt caused by the inability of understanding and by the teacher which isn’t able to teach too, but because of the mismatch of learning styles between students and teachers, so that students feel uncomfortable in learning to a particular teacher. It also happens in senior high school (SHS/SMAN) 1 Anggana, so it is necessary to do this research, to analyze cluster (group) of student learning style by applying data mining method that is k-Means and Fuzzy C-Means. The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement. The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development.
Volume: 17
Issue: 3
Page: 1409-1416
Publish at: 2019-06-01
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