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31,377 Article Results

A low-cost electro-cardiograph machine equipped with sensitivity and paper speed option

10.12928/telkomnika.v17i3.8558
Bambang Guruh; Polytechnic of HealthMinistry of Health Surabaya Irianto , Budhiaji; Polytechnic of HealthMinistry of Health Surabaya Budhiaji , Dwi Herry; Polytechnic of HealthMinistry of Health Surabaya Andayani
The price of electrocardiograph (ECG) machine on the market is very high. Currently, the technology used is still very complicated and ineffective, and the ECG machine cannot be connected to other devices. A new development of a low-cost ECG machine with a customized design was needed to integrate the machine with other devices. Therefore, the purpose of this study is to develop a low-cost ECG machine which can be connected to other devices and equipped with sensitivity and paper speed setting. So that portable ECG machines can be produced and used at small clinics in the society. In this study, the main controller of the 12 channels ECG machines was supported by ATMEGA16 microcontroller, that is available on the market at low prices. The main part of the ECG amplifier is built using a high common mode rejection ratio (CMRR) instrumentation amplifier (AD620) and a bandpass filter which the cutoff frequency for highpass filter and lowpass filter are 0.05 Hz and 100 Hz, respectively. In order to complement the previous study, some features were introduced such as selectivity and motor speed option. In this study, 10 participants are involved for data acquisition,and an ECG phantom was used to calibrate the machine. The performance of the ECG machine was evaluated using standard measurement namely relative percentage error (% error) and uncertainty (UA). The result shows that %error from all of the feature is less than 2% and the UA is 0.0 which shows that the ECG machine is feasible for diagnostic purposes.
Volume: 17
Issue: 3
Page: 1275-1281
Publish at: 2019-06-01

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

Needs analysis of Islamic-based English reading material for the Muhammadiyah junior high school

10.11591/ijere.v8i2.18647
Septian Dwi Cahyo , Muhammad Rijalul Umam Muslim , Arditya Nur Rahman , Bambang W Pratolo
This research aimed to report the need for Islamic-based English teaching materials for the Muhammadiyah junior high Schools, specified for reading skill. Data collection techniques in this research were the semi-structured interview and focus group discussion with four English teachers as participant form the Muhammadiyah schools. Data analysis was conducted by interactive data collection, data reduction, data presentation and conclusion or verification. This research concluded that the needs of developing Islamic based English teaching material are necessary for the Muhamamadiyah schools to achieve the national education goal and for Islamic faith itself. The development based on text-based approach by replacing content with Islamic-related content, Islamic discourse, integrated language skill, use student-centered teaching and also increasing cultural awareness.
Volume: 8
Issue: 2
Page: 286-292
Publish at: 2019-06-01

Privileged authenticity in reconstruction of digital encrypted shares

10.11591/ijai.v8.i2.pp175-180
Joydeep Dey , Anirban Bhowmik , Arindam Sarkar , Sunil Karforma
Efficient message reconstruction mechanism depends on the entire partial shares received in random manner. This paper proposed a technique to ensure the authenticated accumulation of shares based on the privileged share. Threshold number of received shares inclusive of the privileged share, were being accumulated together to validate the original message. Although attaining threshold number of shares or more excluding the privileged share, it would not be possible to reconstruct the original message. Encryptional procedure has been put into the desired partial shares to confuse the evaesdroppers. Decisive parameter termed as hash tag has been extracted from the cumulative shares and bitwise checking procedure has been carried out. In appearance of first mismatch, rests of the checking bits were ignored, as test case put under failure transaction. Different statistical tests namely floating frequency, entropy value have proved the robustness of the proposed technique. Thus, extensive experiments were conducted to evaluate the security and efficiency with better productivity.
Volume: 8
Issue: 2
Page: 175-180
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

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

Artificial bee colony algorithm used for load balancing in cloud computing: review

10.11591/ijai.v8.i2.pp156-167
Arif Ullah , Nazri Mohd Nawi , Jamal Uddin , Samad Baseer , Ansam Hadi Rashed
Cloud computing is emerging technology in IT land. But it still faces challenges like load balancing. It is a technique which dynamic distributed work load among various nodes equally in a situation where some nodes are under load and some are overload. Main achievements of load balancing are resource consumption and reduce energy. Swarm intelligence provides an important role in the field of those problems which cannot easily solve and they need classical and mathematical technique. An artificial bee colony is a foraging behavior inspires algorithm it established by karaboga in 2005. It has fast convergence, strong, robustness, and high flexibility. The different researcher used ABC algorithm for improvement in load balancing. This review paper is a comprehensive study about load balancing in cloud computing using ABC algorithm. It also defines some basic concept about swarm intelligent and its property.
Volume: 8
Issue: 2
Page: 156-167
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

Application of “The nature of science” box event examples to middle school seventh grade students

10.11591/ijere.v8i2.18858
Özlem Afacan , Demet Şener Çanlı
Previous study on the nature of science indicated that the use of activities is essential and important in the teaching of the nature of science subjects. The aim of the research is to develop alternative activities for helping students in the seventh grade of middle school develop their views on the nature of science and for better teaching the nature of science. In this study, four different activities suitable for middle school seventh class achievements which are also related to the nature of science were developed and worksheets related to those activities were prepared. The activities and worksheets were examined by two science education experts and necessary arrangements were made in line with their opinions. These events are called; "mystery candle inbox", "following trail", "mystery in box", and "Colorful lights" activity. This study was designed according to case study settings from qualitative research methods. The research group consists of 27 students who are in the seventh grade of a middle school in Kırşehir. When the activities are being carried out, students filled in worksheets for each activity. The worksheets were analyzed by content analysis method. At the end of the research, it was determined that the designed and applied the nature of science activities have a positive effect on the development of the students' opinions about the nature of science.
Volume: 8
Issue: 2
Page: 221-228
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
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