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29,734 Article Results

Measuring the quality of e-commerce websites using analytical hierarchy process

10.12928/telkomnika.v17i3.12228
Umar Abdul; Institut Teknologi Sepuluh Nopember Aziz , Arif; Institut Teknologi Sepuluh Nopember Wibisono , Amna Shifia; Institut Teknologi Sepuluh Nopember Nisafani
Improving website quality for e-commerce website is indispensable since it affects customer satisfaction. There are several aspects of website quality that should be considered. Unfortunately, what criteria that should be prioritized is still under research. This research aims to identify the priority of website quality criteria and incorporate these criteria to measure the quality of ten e-commerce websites in Indonesia using Analytical Hierarchical Process (AHP). This study interviews two experts to assign priority for each criterion. In the end, this study has found that availability is the uttermost aspect to consider. Furthermore, this study also found that OLX.com is the best Customer-to-Customer (C2C) e-commerce in Indonesia in terms of website quality. This research is useful for any e-commerce technical developer to improve his/her website in twofold: 1) criteria priority to improve the quality of C2C e-commerce websites and 2) website quality ranking of C2C e-commerce.
Volume: 17
Issue: 3
Page: 1202-1208
Publish at: 2019-06-01

Bandwidth enhancement of compact microstrip rectangular antennas for UWB applications

10.12928/telkomnika.v17i3.9184
S.; University Hassan 1st Elajoumi , A.; University Hassan 1st Tajmouati , J.; University Hassan 1st Zbitou , A.; University Hassan 1st Errkik , A. M.; Cantabria University Sanchez , M.; Microwave Group (ESEO) Latrach
In this paper design of microstrip patch antennas are presented for ultra wideband (UWB) applications. The designed antennas have good matching input impedance in a wide frequency band covering the UWB frequency band which is defined by the FCC. The proposed antennas consist of rectangular patch which is fed by 50Ω microstrip line. These antennas are investigated and optimized by using CST microwave studio, they are validated by using another electromagnetic solver HFSS. The proposed antennas are designed and optimized taking into account the optimized of the ground by using Defected Ground Structure (DGS) in order to improve the frequency band of microstrip antenna. Hence, the impedance and surface current of the antenna structures are affected by DGS. As will be seen, the operation bandwidth of the proposed antennas is from 3 to 15 GHz (return loss≤-10 dB), corresponding to wide input impedance bandwidth (133.33%), with stable omnidirectional radiation patterns and important gain. A good agreement has been obtained between simulation and measurement results in term of bandwidth clearly show the validity of the proposed structures. These antennas are useful for UWB applications, may be able to potentially minimize frequency interference from many wireless technologies i.e WLAN, WiMAX. Details of the antennas have been investigated numerically and experimentally.
Volume: 17
Issue: 3
Page: 1559-1568
Publish at: 2019-06-01

A statistical approach on pulmonary tuberculosis detection system based on X-ray image

10.12928/telkomnika.v17i3.10546
Ratnasari Nur; Universitas Muhammadiyah Surakarta Rohmah , Bana; Universitas Muhammadiyah Surakarta Handaga , Nurokhim; Pusat Teknologi Keselamatan dan Metrologi Radiasi Nurokhim , Indah; University of Gadjah Mada Soesanti
This paper presented the research result on the design of pulmonary TB (Tuberculosis) detection systems using a statistical approach. The study aimed to address two problems in detecting pulmonary TB by doctors, especially in remote areas of Indonesia, namely the long waiting time for patients to get the doctor's diagnosis and the doctor's subjectivity. We used hundreds of X-ray images from radiology department of Sardjito Hospital, Yogyakarta, as primary data and thirty data from various sources on the internet as secondary data. Using statistical approach, we exploited statistical image feature from image histogram, examined two statistical methods of PCA and LDA transformation for feature extraction, and two minimum distance classifier in image classification. We also used histogram equalization in the image enhancement process and bicubic interpolation in image segmentation and template making. Test results on primary and secondary data images show the identification accuracy of 94% and 83.3%, respectively.
Volume: 17
Issue: 3
Page: 1474-1482
Publish at: 2019-06-01

Youtube spam detection framework using naïve bayes and logistic regression

10.11591/ijeecs.v14.i3.pp1508-1517
Nur’Ain Maulat Samsudin , Cik Feresa binti Mohd Foozy , Nabilah Alias , Palaniappan Shamala , Nur Fadzilah Othman , Wan Isni Sofiah Wan Din
YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link. Spam has its own features that can be analyzed and detected by classification. Hence, enhancement features are proposed to detect YouTube spam. In order to conduct the experiments, a YouTube Spam detection framework that consists of five (5) phases such as data collection, pre-processing, features selection and extraction, classification and detection were developed. This paper, proposed the YouTube detection framework, examined and validate each of the phases by using two types of data mining tool. The features are constructed from analysis by using data collected from YouTube Spam dataset by using Naïve Bayes and Logistic Regression and tested in two different data mining tools which is Weka and Rapid Miner. From the analysis, thirteen (13) features that had been tested on Weka and RapidMiner shows high accuracy, hence is being used throughout the experiment in this research. Result of Naïve Bayes and Logistic Regression run in Weka is slightly higher than RapidMiner. In addition, result of Naïve Bayes is higher than Logistic Regression with 87.21% and 85.29% respectively in Weka. While in RapidMiner there is slightly different of accuracy between Naïve Bayes and Logistic Regression 80.41% and 80.88%. But, precision of Naïve Bayes is higher than Logistic Regression.
Volume: 14
Issue: 3
Page: 1508-1517
Publish at: 2019-06-01

VRLA battery state of health estimation based on charging time

10.12928/telkomnika.v17i3.12241
Akhmad; Universitas Brawijaya Zainuri , Unggul; Universitas Brawijaya Wibawa , Mochammad; Universitas Brawijaya Rusli , Rini Nur; Universitas Brawijaya Hasanah , Rosihan Arby; Universitas Brawijaya Harahap
Battery state of health (SoH) is an important parameter of the battery’s ability to store and deliver electrical energy. Various methods have been so far developed to calculate the battery SoH, such as through the calculation of battery impedance or battery capacity using Kalman Filter, Fuzzy theory, Probabilistic Neural Network, adaptive hybrid battery model, and Double Unscented Kalman Filtering (D-UKF) algorithm. This paper proposes an approach to estimate the value of battery SoH based on the charging time measurement. The results of observation and measurements showed that a new and used batteries would indicate different charging times. Unhealthy battery tends to have faster charging and discharging time. The undertaken analysis has been focused on finding out the relationship between the battery SoH and the charging time range. To validate the results of this proposed approach, the use of battery capacity method has been considered as comparison. It can be concluded that there is a strong correlation between the two discussed SoH estimation methods, confirming that the proposed method is feasible as an alternative SoH estimation method to the widely known battery capacity method. The correlation between the charging-disharging times of healthy and unhealthy batteries is very prospective to develop a battery charger in the future with a prime advantage of not requiring any sensor for the data acquisition.
Volume: 17
Issue: 3
Page: 1577-1583
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

Optimal SVC allocation via symbiotic organisms search for voltage security improvement

10.12928/telkomnika.v17i3.9905
Mohamad Khairuzzaman; Universiti Teknologi MARA Mohamad Zamani , Ismail; Universiti Teknologi MARA Musirin , Sharifah Azma; Universiti Tenaga Nasional Syed Mustaffa , Saiful Izwan; Universiti Teknologi MARA Suliman
It is desirable that a power system operation is in a normal operating condition. However, the increase of load demand in a power system has forced the system to operate near to its stability limit whereby an increase in load poses a threat to the power system security. In solving this issue, optimal reactive power support via SVC allocation in a power system has been proposed. In this paper, Symbiotic Organisms Search (SOS) algorithm is implemented to solve for optimal allocation of SVC in the power system. IEEE 26 Bus Reliability Test System is used as the test system. Comparative studies are also conducted concerning Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) techniques based on several case studies. Based on the result, SOS has proven its superiority by producing higher quality solutions compared to PSO and EP. The results of this study can benefit the power system operators in planning for optimal power system operations.
Volume: 17
Issue: 3
Page: 1267-1274
Publish at: 2019-06-01

Region of interest and color moment method for freshwater fish identification

10.12928/telkomnika.v17i3.11749
Gibtha Fitri; Ibn Khaldun University Laxmi , Fitrah Satrya Fajar; Ibn Khaldun University Kusumah
One of the important features in content based image retrieval is color feature. The color feature is the most widely used visual features. Extracting feature image depends on the problem to identify the region or object of interest that is complex in content. This paper presents a methodology to recognize certain freshwater images using region of interest and color feature. In this work, we have considered 7 varieties of freshwater fish, Gourami, Mas/Common carper, Mas Orange, Mas Kancra, Mujair/Java Tilapia, Nila/Nile Tilapia, and Patin. Each variety consists of 20 images. We deployed Color Moment Feature after Region of Interest process to extract the feature. Euclid is used for recognition. Considering only a feature, the classification accuracy of 89% is obtained using color moment. The research technique shows promise for eventually being able to do so, and for the future will help to get important information from the image.
Volume: 17
Issue: 3
Page: 1432-1438
Publish at: 2019-06-01

Exploration of genetic network programming with two-stage reinforcement learning for mobile robot

10.12928/telkomnika.v17i3.12232
Siti; Universitas Negeri Malang Sendari , Arif Nur; Universitas Negeri Malang Afandi , Ilham Ari Elbaith; Universitas Negeri Malang Zaeni , Yogi Dwi; Universitas Negeri Malang Mahandi , Kotaro; Waseda University Hirasawa , Hsien-I; National Taipei Univeristy Lin
This paper observes the exploration of Genetic Network Programming Two-Stage Reinforcement Learning for mobile robot navigation. The proposed method aims to observe its exploration when inexperienced environments used in the implementation. In order to deal with this situation, individuals are trained firstly in the training phase, that is, they learn the environment with ϵ-greedy policy and learning rate α parameters. Here, two cases are studied, i.e., case A for low exploration and case B for high exploration. In the implementation, the individuals implemented to get experience and learn a new environment on-line. Then, the performance of learning processes are observed due to the environmental changes.
Volume: 17
Issue: 3
Page: 1447-1454
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

OCA: overlapping clustering application unsupervised approach for data analysis

10.11591/ijeecs.v14.i3.pp1471-1478
Alvincent Egonia Danganan , Ariel M. Sison , Ruji P. Medina
In this paper, a new data analysis tool called Overlapping Clustering Application (OCA) was presented. It was developed to identify overlapping clusters and outliers in an unsupervised manner. The main function of OCA is composed of three phases. The first phase is the detection of the abnormal values(outliers) in the datasets using median absolute deviation. The second phase is to segment data objects into cluster using k-means algorithm. Finally, the last phase is the identification of overlapping clusters, it uses maxdist (maximum distance of data objects allowed in a cluster) as a predictor of data objects that can belong to multiple clusters.  Experimental results revealed that the developed OCA proved its capability in detecting overlapping clusters and outliers accordingly.
Volume: 14
Issue: 3
Page: 1471-1478
Publish at: 2019-06-01

Multicast routing protocol for advanced vehicular ad hoc networks

10.12928/telkomnika.v17i3.10240
Omar Saeed; King Khalid University Al Mushayt , Wajeb; Jazan University Gharibi , Nasrullah; Indonesian Institute of Sciences Armi
Transport sector has great impact on our daily life. Despite the huge number of vehicular models, driving process still faces many challenges due to the lack information about the roads and the surrounding sudden events, which can result in high number of accidents globally and especially in Saudi Arabia. A new technology, vehicular ad hoc networks (VANETs), has emerged to support Intelligent Transport System (ITS) and to offer advanced solutions for drivers to avoid different hazard events that occur on the road. In this paper, we discuss the multicast and broadcast communications in VANETs, Quality of Sevice (QoS) awaregroup addressing/managing solutions to VANETs which help inclassifying different application that explore and design a new cross-layer framework, aware of high mobility and efficiency.
Volume: 17
Issue: 3
Page: 1096-1100
Publish at: 2019-06-01

Two-port network model of fixed-speed wind turbine generator for distribution system load flow analysis

10.12928/telkomnika.v17i3.11866
Rudy; Tanjungpura University Gianto , Kho Hie; Tanjungpura University Khwee , Hendro; Tanjungpura University Priyatman , Managam; Tanjungpura University Rajagukguk
Load flow analysis has always been used in determining the steady-state operation of an electric power or distribution system. For conventional power system without wind turbine generator, the method for load flow analysis has been well established. However, for modern system embedded with wind turbine generator, the investigation of analysis method is still an active research area. This paper proposed a new method to integrate fixed-speed wind turbine generator into distribution system load flow analysis. The proposed method is derived based on two-port network theory where the parameters of induction generator of the wind turbine generator are embedded in general constants of the two-port network. The proposed method has been tested and verified using a representative electric distribution system.
Volume: 17
Issue: 3
Page: 1569-1576
Publish at: 2019-06-01

Rain prediction using fuzzy rule based system in North-West malaysia

10.11591/ijeecs.v14.i3.pp1564-1573
Noor Zuraidin Mohd Safar , Azizul Azhar Ramli , Hirulnizam Mahdin , David Ndzi , Ku Muhammad Naim Ku Khalif
The warm and humid condition is the characteristic of Malaysia tropical climate. Prediction of rain occurrences is important for the daily operations and decisions for the country that rely on agriculture needs. However predicting rainfall is a complex problem because it is effected by the dynamic nature of the tropical weather parameters of atmospheric pressure, temperature, humidity, dew point and wind speed. Those parameters have been used in this study. The rainfall prediction are compared and analyzed.   Fuzzy Logic and Fuzzy Inference System can deal with ambiguity that often occurred in meteorological prediction; it can easily incorporate with expert knowledge and empirical study into standard mathematical. This paper will determine the dependability of Fuzzy Logic approach in rainfall prediction within the given approximation of rainfall rate, exploring the use of Fuzzy Logic and to develop the fuzzified model for rainfall prediction. The accuracy of the proposed Fuzzy Inference System model yields 72%
Volume: 14
Issue: 3
Page: 1564-1573
Publish at: 2019-06-01

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
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