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Compact reconfigurable PIFA antenna for wireless applications

10.12928/telkomnika.v18i2.13427
Abdullah Ali; Al Mustansiriyh University Jabber , Ali Khalid; Al Mustansiriyh University Jassim , Raad Hamdan; Al Mustansiriyh University Thaher
This paper presents, new compact and multiband frequency reconfigurable planar inverted-F antenna (PIFA). The antenna is designed and optimized to cover mobile application devices like GPS, WLAN/Wi-Fi, WiMAX, 4G LTE, UWB, and satellite applications. The frequency reconfigurability is obtained by using only a single RF switch (PIN diode) for changing the operating frequency. The antenna dimensions are 45.6x39.6x1.6 mm3 printed on an FR-4 epoxy substrate with relative dielectric constant εr = 4.3, loss tangent tan (δ) = 0.002 and 50 Ω coaxial feed line. The proposed antenna has two patches connected by a single PIN diode. The antenna introduces nine resonant frequencies under (S11 ≤ -10 dB) which are: 0.980 GHz, 3.392 GHz, 3.924 GHz, 4.554 GHz, 5.82 GHz, 6.81 GHz, 7.305 GHz, 8 GHz and 8.105 GHz in the ON and OFF states of the PIN diode which are applicable to cover GSM900, WLAN/Wi-Fi, WiMAX, 4G LTE, UWB, and satellite systems. The obtained maximum simulated gain is 8.45 dB at 6.81 GHz. The lowest return loss is obtained to be -42 dB at 5.854 GHz. Detailed simulation and measurement results are explored and studied in this research. The CST software is used to simulate and optimize the proposed PIFA antenna. The proposed antenna has been fabricated and produced a good agreement with the simulation results.
Volume: 18
Issue: 2
Page: 595-602
Publish at: 2020-04-01

Readiness measurement of IT implementation in Higher Education Institutions in Indonesia

10.12928/telkomnika.v18i2.14902
Mohamad; UIN Sunan Gunung Djati Bandung Irfan , Syopiansyah Jaya; Syarif Hidayatullah State Islamic University Jakarta Putra
This article elaborates the result of the Pilot Study which is related to IT implementation factors at the Higher Education Institution (HEI), a pilot study is used to validate quantitative readiness model of IT implementation. The main objective of this study is examining the factors that influence the readiness of IT implementation in HEI. This study attempts to analyze IT Content factors, Institutional Context, People, Process, Technology, Service Quality and IT Implementation Readiness (ITIR). The sample of data was taken from 150 HEIs throughout Indonesia which was then processed in statistical techniques through PLS-SEM method. The research finding shows that 9 of the 14 hypotheses used as ITIR model construct have a very significant influence on IT implementation on HEI, so that this finding can provide a comprehensive contribution to the literature of ITIR model development.
Volume: 18
Issue: 2
Page: 860-869
Publish at: 2020-04-01

Development of triangular array eight patches antennas for circularly-polarized synthetic aperture radar sensor

10.12928/telkomnika.v18i2.14759
Muhammad; Brawijaya University Fauzan Edy Purnomo , Vita; Universitas Negeri Malang Kusumasari , Edi; Universitas Negeri Malang Supriana , Rusmi; Brawijaya University Ambarwati , Akio; Kanazawa University Kitagawa
In this paper, we obtain the left-handed circularly polarized (LHCP) and right-handed circularly polarized (RHCP) of triangular array eight patches antennas using corporate feeding-line for circularly polarized-synthetic aperture radar (CP-SAR) sensor embedded on unmanned aerial vehicle (UAV) with compact, simple, and efficient configuration. Although the corporate feeding-line design has already been developed, its design was for the side antenna view of 0° and only produced one of LHCP or RHCP instead of both. Here, the design for LHCP and RHCP eight patches array fed by corporate feeding-line having the side antenna view of 36° at f=1.25 GHz for CP-SAR are discussed. We use the 2016 version of computer simulation technology (CST) to realize the method of moments (MoM) for analyzing. The performance results, especially for gain and axial ratio (Ar) at resonant frequency are consecutively 13.46 dBic and 1.99 dB both of LHCP and RHCP. Moreover, the 12-dBic gain-bandwidth and the 3-dB Ar-bandwidth of them are consecutively around 38 MHz (3.04%) and 6 MHz (0.48%). Furthermore, the two-beams appeared at boresight in elevation plane for average beamwidth of 12 dBic-gain and the 3 dB-Ar LHCP and RHCP have similar values of around 12° and 46°, respectively.
Volume: 18
Issue: 2
Page: 631-639
Publish at: 2020-04-01

Design and implementation of log domain decoder

10.11591/ijece.v10i2.pp1454-1468
Mahmood Farhan Mosleh , Fadhil Sahib Hasan , Ruaa Majeed Azeez
Low-Density-Parity-Check (LDPC) code has become famous in communications systems for error correction, as an advantage of the robust performance in correcting errors and the ability to meet all the requirements of the 5G system. However, the mot challenge faced researchers is the hardware implementation, because of higher complexity and long run-time. In this paper, an efficient and optimum design for log domain decoder has been implemented using Xilinx system generator with FPGA device Kintex 7 (XC7K325T-2FFG900C). Results confirm that the proposed decoder gives a Bit Error Rate (BER) very closed to theory calculations which illustrate that this decoder is suitable for next generation demand which needs high data rate with very low BER.
Volume: 10
Issue: 2
Page: 1454-1468
Publish at: 2020-04-01

Three-level modified sine wave inverter equipped with online temperature monitoring system

10.12928/telkomnika.v18i2.14848
Suroso; Jenderal Soedirman University Suroso , Ahmad; Jenderal Soedirman University Khafidz , Winasis; Jenderal Soedirman University Winasis , Hari; Jenderal Soedirman University Siswantoro
Research and development on power converters are getting more interesting in recent years. It is also buttressed by rapid development in related fields, such as power semiconductor, digital advanced control, magnetic material and use of power converters in many sectors.  In addition to the power quality matter, simplicity of inverter circuits is another notable aspect that should be considered toward economical feature. Adding the quantity of power switches will increase complexity of overall inverter circuits. This paper discusses a circuit configuration of three-level modified sine wave neutral point shorted power inverter which work converting dc power into ac power with less number of power switches. To improve the performance and feature of inverter circuits, the inverter was equipped with online temperature monitoring, and overheat protection based on internet of things. Adding online temperature monitoring system makes easier in monitoring of circuits to prevent the excessive faults of inverter. Some computer based test data are shown and discussed. Furthermore, experiment results of the inverter prototype, and its online monitoring system are presented. Test outputs demonstrated that the proposed system worked properly generating a three-level modified sine wave voltage, with online temperature monitoring system.
Volume: 18
Issue: 2
Page: 977-984
Publish at: 2020-04-01

Clustering optimization in RFM analysis Based on k-Means

10.11591/ijeecs.v18.i1.pp470-477
Rendra Gustriansyah , Nazori Suhandi , Fery Antony
RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method that can be applied to market segmentation. RFM analysis is used to analyze customer’s behavior which consists of how recently the customers have purchased (recency), how often customer’s purchases (frequency), and how much money customers spend (monetary). In this study, RFM analysis has been used for product segmentation is to be arrayed in terms of recent sales (R), frequent sales (F), and the total money spent (M) using the data mining method. This study has proposed a new procedure for RFM analysis (in product segmentation) using the k-Means method and eight indexes of validity to determine the optimal number of clusters namely Elbow Method, Silhouette Index, Calinski-Harabasz Index, Davies-Bouldin Index, Ratkowski Index, Hubert Index, Ball-Hall Index, and Krzanowski-Lai Index, which can improve the objectivity and similarity of data in product segmentation so that it can improve the accuracy of the stock management process. The evaluation results showed that the optimal number of clusters for the k-Means method applied in the RFM analysis consists of three clusters (segmentation) with a variance value of 0.19113.
Volume: 18
Issue: 1
Page: 470-477
Publish at: 2020-04-01

Indoor positioning system using BLE beacon to improve knowledge about museum visitors

10.12928/telkomnika.v18i2.14886
Andreas; Petra Christian University Handojo , Tanti; Petra Christian University Octavia , Resmana; Petra Christian University Lim , Jonathan Kurnia; Petra Christian University Anggita
Generally, a museum has many locations and artifacts collection that display for visitors. Museum manager often have difficulty in obtaining information on visitors behavior such as, is there are particular locations/artifacts in the museum that are frequently/rarely visit by museum visitors, how long visitors spend their time in particular locations/artifacts, etc. The purpose of this study is try to build a suitable system in order to improve knowledge about the behavior of museum visitors by identifying the position of visitors in the museum. This study uses Bluetooth Low Energy (BLE) Beacon that place around the museum. The visitor mobile phone will detect BLE beacon signal, then the mobile phone application will calculated the visitor’s mobile phone position using the signal strength from the BLE beacons that are detected. The application then sends it to the computer server to display it in as museum visitor heat map. From this information, the museum manager could find out the visitors behavior movement and know which areas/artifacts that frequently/rarely visit by museum visitors. According to distance error testing which compare real location and position of the calculation, it is show that the average of distance error is around 140 cm. So, it can be concluded that the information obtained is sufficient enough to represent the position of museum visitors.
Volume: 18
Issue: 2
Page: 792-798
Publish at: 2020-04-01

High level speaker specific features modeling in automatic speaker recognition system

10.11591/ijece.v10i2.pp1859-1867
Satyanand Singh
Spoken words convey several levels of information. At the primary level, the speech conveys words or spoken messages, but at the secondary level, the speech also reveals information about the speakers. This work is based on the high-level speaker-specific features on statistical speaker modeling techniques that express the characteristic sound of the human voice. Using Hidden Markov model (HMM), Gaussian mixture model (GMM), and Linear Discriminant Analysis (LDA) models build Automatic Speaker Recognition (ASR) system that are computational inexpensive can recognize speakers regardless of what is said. The performance of the ASR system is evaluated for clear speech to a wide range of speech quality using a standard TIMIT speech corpus. The ASR efficiency of HMM, GMM, and LDA based modeling technique are 98.8%, 99.1%, and 98.6% and Equal Error Rate (EER) is 4.5%, 4.4% and 4.55% respectively. The EER improvement of GMM modeling technique based ASR systemcompared with HMM and LDA is 4.25% and 8.51% respectively.
Volume: 10
Issue: 2
Page: 1859-1867
Publish at: 2020-04-01

Plant species identification based on leaf venation features using SVM

10.12928/telkomnika.v18i2.14062
Agus; Politeknik Negeri Lampung Ambarwari , Qadhli Jafar; Universitas Teknokrat Indonesia Adrian , Yeni; IPB University Herdiyeni , Irman; IPB University Hermadi
The purpose of this study is to identify plant species using leaf venation features. Leaf venation features were obtained through the extraction of leaf venation features. The leaf image segmentation was performed to obtain the binary image of the leaf venation which is then determined the branching point and ending point. From these points, the extraction of leaf venation feature was performed by calculating the value of straightness, a different angle, length ratio, scale projection, skeleton length, number of segments, total skeleton length, number of branching points and number of ending points. So that from the extraction of leaf venation features 19 features were obtained. Identification of plant species was carried out using Support Vector Machine (SVM) with RBF kernel. The learning model was built using 75% of the training data. The testing results using 25% of the data on the training model, obtained an accuracy of 82.67%, with an average of precision of 84% and recall of 83%. 
Volume: 18
Issue: 2
Page: 726-732
Publish at: 2020-04-01

Glasses for the blind using ping ultrasonic, ATMEGA8535 and ISD25120

10.12928/telkomnika.v18i2.12419
Hartono; Universitas Gunadarma Siswono , Widyastuti; University of Gunadarma Widyastuti
For doing their activities, blind people need tools. The idea for designing this device is for helping the blind person. This device is a glasses specially for blind person which gives information in the form of voices through an earphone if there is an obstacle in the range of 0–58 cm. The device is using PING ultrasonic sensor, ATMEGA8535 microcontroller, and ISD25120 for recording and saving the voices. After designing and making the device, we tested the device to take the data. We use three PING ultrasonic sensors which are put at the sides of the glasses. The device will give eight different kinds of voices through the earphone. The voices depend upon the output of the PING ultrasonic sensors.
Volume: 18
Issue: 2
Page: 945-952
Publish at: 2020-04-01

Simulation and analysis of improved direct torque control of switched reluctance machine

10.11591/ijeecs.v18.i1.pp251-260
Alexander Krasovsky
Direct torque control of electric machines widely used in modern electric drives. Switched reluctance machines (SRM) are different from traditional electric machines, so we cannot apply well-known technical solutions to them. Simulation can provide a powerful approach for investigating the control of switched reluctance machines, and Matlab / Simulink allows it successfully implemented. This paper presents a description of the model and the simulation results of the proposed new algorithms for direct control of the instantaneous torque of SRM in the motor and braking modes. In comparison with the known control algorithms, the proposed algorithm uses one common for all phases relay regulator with a smaller number of switching thresholds and, therefore, it has greater reliability and is easier to set up. 
Volume: 18
Issue: 1
Page: 251-260
Publish at: 2020-04-01

Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization

10.12928/telkomnika.v18i2.14744
Heru Agus; Dian Nuswantoro University Santoso , Eko Hari; Dian Nuswantoro University Rachmawanto , Adhitya; Dian Nuswantoro University Nugraha , Akbar Aji; Dian Nuswantoro University Nugroho , De; Dian Nuswantoro University Rosal Ignatius Moses Setiadi , Ruri Suko; Dian Nuswantoro University Basuki
Currently, the spread of hoax news has increased significantly, especially on social media networks. Hoax news is very dangerous and can provoke readers. So, this requires special handling. This research proposed a hoax news detection system using searching, snippet and cosine similarity methods to classify hoax news. This method is proposed because the searching method does not require training data, so it is practical to use and always up to date. In addition, one of the drawbacks of the existing approaches is they are not equipped with a sentiment analysis feature. In our system, sentiment analysis is carried out after hoax news is detected. The goal is to extract the true hidden sentiment inside hoax whether positive sentiment or negative sentiment. In the process of sentiment analysis, the Naïve Bayes (NB) method was used which was optimized using the Particle Swarm Optimization (PSO) method. Based on the results of experiment on 30 hoax news samples that are widely spread on social media networks, the average of hoax news detection reaches 77% of accuracy, where each news is correctly identified as a hoax in the range between 66% and 91% of accuracy. In addition, the proposed sentiment analysis method proved to has a better performance than the previous analysis sentiment method.
Volume: 18
Issue: 2
Page: 799-806
Publish at: 2020-04-01

A hybrid image similarity measure based on a new combination of different similarity techniques

10.11591/ijece.v10i2.pp1814-1822
Nisreen Ryadh Hamza , Rasha Ail Dihin , Mohammed Hasan Abdulameer
Image similarity is the degree of how two images are similar or dissimilar. It computes the similarity degree between the intensity patterns in images. A new image similarity measure named (HFEMM) is proposed in this paper. The HFEMM is composed of two phases. Phase 1, a modified histogram similarity measure (HSSIM) is merged with feature similarity measure (FSIM) to get a new measure called (HFM). In phase 2, the resulted (HFM) is merged with error measure (EMM) in order to get a new similarity measure, which is named (HFEMM). Different kindes of noises for example Gaussian, Uniform, and salt & ppepper noiser are used with the proposed methods. One of the human face databases (AT&T) is used in the experiments and random images are used as well. For the evaluation, the similarity percentage under peakk signal to noise ratio (PSNR) is usedd. To show the effectiveness of the proposed measure, a comparision anong different similar technique such as SSIM, HFM, EMM and HFEMM are considered. The proposed HFEMM achieved higher similarity result when PSNR was low compared to the other methods.
Volume: 10
Issue: 2
Page: 1814-1822
Publish at: 2020-04-01

Switching pulse generation for DC-DC boost converter using Xilinx-ISE with FPGA processor

10.11591/ijece.v10i2.pp1722-1727
R. Palanisamy , C. S. Boopathi , K. Selvakumar , K. Vijayakumar
This paper explains steps to generate switching pulse using Xilinx-ISE with FPGA processor for DC-DC boost converter. The switching pulse generated using Very high speed integrated circuit Hardware Description Language (VHDL) with Xilinx-ISE. VHDL is a programming language, which is used to model and design any complex circuits in a dynamic environment. This paper gives the course of action for generation of switching pulses for dc-dc boost converter using Xilinx-ISE and matlab simulink. The switching pulse generated using Xilinx-ISE with FPGA-Spartan 6 processor compared with switching pulse generated using matlab.
Volume: 10
Issue: 2
Page: 1722-1727
Publish at: 2020-04-01

Single object detection to support requirements modeling using faster R-CNN

10.12928/telkomnika.v18i2.14838
Nathanael; Universitas Multimedia Nusantara Gilbert , Andre; Universitas Multimedia Nusantara Rusli
Requirements engineering (RE) is one of the most important phases of a software engineering project in which the foundation of a software product is laid, objectives and assumptions, functional and non-functional needs are analyzed and consolidated. Many modeling notations and tools are developed to model the information gathered in the RE process, one popular framework is the iStar 2.0. Despite the frameworks and notations that are introduced, many engineers still find that drawing the diagrams is easier done manually by hand. Problem arises when the corresponding diagram needs to be updated as requirements evolve. This research aims to kickstart the development of a modeling tool using Faster Region-based Convolutional Neural Network for single object detection and recognition of hand-drawn iStar 2.0 objects, Gleam grayscale, and Salt and Pepper noise to digitalize hand-drawn diagrams. The single object detection and recognition tool is evaluated and displays promising results of an overall accuracy and precision of 95%, 100% for recall, and 97.2% for the F-1 score.
Volume: 18
Issue: 2
Page: 830-838
Publish at: 2020-04-01
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