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31,456 Article Results

Simple broadband circularly polarized monopole antenna with two asymmetrically connected U-shaped parasitic strips and defective ground plane

10.12928/telkomnika.v18i3.14313
Hussein; University Teknikal Malaysia Melaka (UTeM) Alsariera , Z.; University Teknikal Malaysia Melaka (UTeM) Zakaria , A. A. M.; University Teknikal Malaysia Melaka (UTeM) Isa , Sameer; University Teknikal Malaysia Melaka (UTeM) Alani , M. Y.; University Teknikal Malaysia Melaka (UTeM) Zeain , Othman S.; University Teknikal Malaysia Melaka (UTeM) Al-Heety , S.; Multimedia Universty Ahmed , Mussa; University Teknikal Malaysia Melaka (UTeM) Mabrok , R.; University Teknikal Malaysia Melaka (UTeM) Alahnomi
A simple compact broadband circularly polarized monopole antenna, which comprises a simple monopole, a modified ground plane with an implementing triangular stub and two asymmetrically connected U-shaped parasitic strips, is proposed. Simulation results show that the proposed compact antenna (0.62λo×0.68λo) achieves a 10-dB impedance bandwidth (IBW) of 111% (1.7 to 5.95 GHz) and a 3-dB axial ratio bandwidth (ARBW) of 61% (3.3–6.2 GHz) with a peak gain between 2.9–4 dBi for the entire ARBW. With its broad IBW and ARBW, compact size and simple structure, the proposed antenna is suitable for different wireless communications.
Volume: 18
Issue: 3
Page: 1169-1175
Publish at: 2020-06-01

Predicting student performance in higher education using multi-regression models

10.12928/telkomnika.v18i3.14802
Leo Willyanto; Petra Christian University Santoso , Yulia; Petra Christian University Yulia
Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of IIS is student performance prediction. By implementing data mining model in IIS, this feature could precisely predict the student’ grade for their enrolled subjects. Moreover, it can recognize at-risk students and allow top educational management to take educative interventions in order to succeed academically. In this research, multi-regression model was proposed to build model for every student. In our model, learning management system (LMS) activity logs were computed. Based on the testing result on big students datasets, courses, and activities indicates that these models could improve the accuracy of prediction model by over 15%.
Volume: 18
Issue: 3
Page: 1354-1360
Publish at: 2020-06-01

A deep learning AlexNet model for classification of red blood cells in sickle cell anemia

10.11591/ijai.v9.i2.pp221-228
Hajara Aliyu Abdulkarim , Mohd Azhar Abdul Razak , Rubita Sudirman , Norhafizah Ramli
Sickle cell anemia (SCA) is a serious hematological disorder, where affected patients are frequently hospitalized throughout a lifetime and even can cause death. The manual method of detecting and classifying abnormal cells of SCA patient blood film through a microscope is time-consuming, tedious, prone to error, and require a trained hematologist. The affected patient has many cell shapes that show important biomechanical characteristics. Hence, having an effective way of classifying the abnormalities present in the SCA disease will give a better insight into managing the concerned patient's life. This work proposed algorithm in two-phase firstly, automation of red blood cells (RBCs) extraction to identify the RBC region of interest (ROI) from the patient’s blood smear image. Secondly, deep learning AlexNet model is employed to classify and predict the abnormalities presence in SCA patients. The study was performed with (over 9,000 single RBC images) taken from 130 SCA patient each class having 750 cells. To develop a shape factor quantification and general multiscale shape analysis. We reveal that the proposed framework can classify 15 types of RBC shapes including normal in an automated manner with a deep AlexNet transfer learning model. The cell's name classification prediction accuracy, sensitivity, specificity, and precision of 95.92%, 77%, 98.82%, and 90% were achieved, respectively.
Volume: 9
Issue: 2
Page: 221-228
Publish at: 2020-06-01

Smart agriculture management system using internet of things

10.12928/telkomnika.v18i3.14029
Kaushik; Vignan Institute of Technology & Science Sekaran , Maytham N.; Al-Mustaqbal University College Meqdad , Pardeep; G. H. Raisoni College of Engineering Kumar , Soundar; Vignan Institute of Technology & Science Rajan , Seifedine; Beirut Arab University Kadry
In the world of digital era, an advance development with internet of things (IoT) were initiated, where devices communicate with each other and the process are automated and controlled with the help of internet. An IoT in an agriculture framework includes various benefits in managing and monitoring the crops. In this paper, an architectural framework is developed which integrates the internet of things (IoT) with the production of crops, different measures and methods are used to monitor crops using cloud computing. The approach provides real-time analysis of data collected from sensors placed in crops and produces result to farmer which is necessary for the monitoring the crop growth which reduces the time, energy of the farmer. The data collected from the fields are stored in the cloud and processed in order to facilitate automation by integrating IoT devices. The concept presented in the paper could increase the productivity of the crops by reducing wastage of resources utilized in the agriculture fields. The results of the experimentation carried out presents the details of temperature, soil moisture, humidity and water usage for the field and performs decision making analysis with the interaction of the farmer.
Volume: 18
Issue: 3
Page: 1275-1284
Publish at: 2020-06-01

Understanding Indonesian history, interest in learning history and national insight with nationalism attitude

10.11591/ijere.v9i2.20474
Johan Setiawan , Aman Aman , Taat Wulandari
The purpose of this study was to investigate the relationship of understanding Indonesian history, interest in learning history and national insight with the nationalism attitude among State Senior High School students in Ngaglik subdistrict, Yogyakarta. The data collection used tests and questionnaires distributed to 126 students who were the respondents, the data were analyzed quantitavely using SPSS version 21. The validity test of the instrument employed biserial point correlation and reliability test using the Kuder–Richardson Formula 20 (KR 20) formula. Analysis prerequisite tests include normality test, linearity test, and multicollinearity test. The hypotheses were tested using Pearson’s product moment correlation and multiple correlation The results of the data analysis shows: (a) there is a positive and significant relationship between understanding Indonesian history with nationalism attitude; (b) there is a positive and significant relationship between interest in learning history and nationalism attitude; (c) there is a positive and significant relationship between national insight and nationalism; and (d) there is a simultaneously positive and significant relationship between understanding of Indonesian history, interest in learning history, and national insight with nationalism attitude.
Volume: 9
Issue: 2
Page: 364-373
Publish at: 2020-06-01

Readiness, acceptance and use of e-health systems in hospitals and health centers of north western ethiopia

10.11591/ijeecs.v18.i3.pp1510-1519
Abinew Ali Ayele
The purpose of this empirical study was to examine e-health readiness, acceptance and use in hospitals and health centers in Ethiopia. In this study, 900 samples were taken using a simple random sampling method from 10 Hospitals and 20 health centers in northwestern Ethiopia. SmartPls software was used for the structural equation modeling and path analysis techniques. All of the e-health readiness indicators, except employees’ attitudes showed that hospitals and health centers were not ready to implement and use e-health systems. The intentions of users to accept and use e-health systems were evaluated and determinants were identified. Service quality from the technological factors, self-efficacy from the human factors and user training from the organizational factors were found to be significant determinants of user satisfaction, individual performance, and organizational performance respectively. Major determinants were an organizational performance with a contribution of 37.6% influence followed by an individual performance with 28.2% contribution (together accounted for about 65.8% influence) of the users’ behavioral intentions to use e-health systems. The model, which explained 47.6 % of the variances in the data, was found to be significant.
Volume: 18
Issue: 3
Page: 1510-1519
Publish at: 2020-06-01

WSN nodes power consumption using multihop routing protocol for illegal cutting forest

10.12928/telkomnika.v18i3.14844
Giva Andriana; Telkom University Mutiara , Nanna; University Teknikal Malaysia Melaka Suryana , Othman; University Teknikal Malaysia Melaka Mohd
The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.
Volume: 18
Issue: 3
Page: 1529-1537
Publish at: 2020-06-01

Convolutional recurrent neural network with template based representation for complex question answering

10.11591/ijece.v10i3.pp2710-2718
A. Chandra Obula Reddy , K. Madhavi
Complex Question answering system is developed to answer different types of questions accurately. Initially the question from the natural language is transformed to an internal representation which captures the semantics and intent of the question. In the proposed work, internal representation is provided with templates instead of using synonyms or keywords. Then for each internal representation, it is mapped to relevant query against the knowledge base. In present work, the Template representation based Convolutional Recurrent Neural Network (T-CRNN) is proposed for selecting answer in Complex Question Answering (CQA) framework. Recurrent neural network is used to obtain the exact correlation between answers and questions and the semantic matching among the collection of answers. Initially, the process of learning is accomplished through Convolutional Neural Network (CNN) which represents the questions and answers separately. Then the representation with fixed length is produced for each question with the help of fully connected neural network. In order to design the semantic matching between the answers, the representation of Question Answer (QA) pair is given into the Recurrent Neural Network (RNN). Finally, for the given question, the correctly correlated answers are identified with the softmax classifier.
Volume: 10
Issue: 3
Page: 2710-2718
Publish at: 2020-06-01

On-chip debugging for microprocessor design

10.12928/telkomnika.v18i3.13174
Fajar; Universitas Muhammadiyah Surakarta Suryawan , Bana; Universitas Muhammadiyah Surakarta Handaga , Abdul; Universitas Muhammadiyah Surakarta Basith
This article proposes a closer-to-metal approach of RTL inspection in microprocessor design for use in education, engineering, and research. Signals of interest are tapped throughout the microprocessor hierarchical design and are then output to the top-level entity and finally displayed to a VGA monitor. Input clock signal can be fed as slow as one wish to trace or debug the microprocessor being designed. An FPGA development board, along with its accompanying software package, is used as the design and test platform. The use of VHDL commands ’type’ and ’record’ in the hierarchy provides key ingredients in the overall design, since this allows simple, clean, and tractable code. The method is tested on MIPS single-cycle microprocessor blueprint. The result shows that the technique produces more consistent display of the true contents of registers, ALU input/output signals, and other wires – compared to the standard, widely-used simulation method. This approach is expected to increase confidence in students and designers since the reported signals’ values are the true values. Its use is not limited to the development of microprocessors; every FPGAbased digital design can benefit from it.
Volume: 18
Issue: 3
Page: 1229-1236
Publish at: 2020-06-01

Post-earthquake quality of life among students

10.11591/ijphs.v9i2.20377
Rusmini Rusmini , Lale Wisnu Andrayani , Hamdan Hariawan
Quality of life is one of the many psychological impacts of post-disaster. One of the impacts of the North Lombok earthquake in 2018 was that many school buildings and residences were damaged and collapsed. This research aimed to determine the quality of life of boarders and public students displaced after the earthquake in North Lombok. This research was comparative research with cross-sectional design. The samples of this research were 85 students consist of 40 students of emergency public school and 45 students of emergency Islamic boarding school. This research variable was the quality of life of boarders and public students. Measurement of this study using KIDSCREEN-27 and analyzed by bivariate and multivariate analysis with the value of α<0.05. This study showed the quality of life for boarders students higher than public students (p=0.008).
Volume: 9
Issue: 2
Page: 71-75
Publish at: 2020-06-01

Review on water quality monitoring technologies

10.11591/ijeecs.v18.i3.pp1416-1423
Josephine Ong Ning Ting , S. K. Yee
Water quality monitoring is always the prior element to ensure the drinking water is safe to be consumed. A lot of researches have been carried out over the past decades to design and develop a robust and cost-effective water monitoring system. The conventional water monitoring techniques were based on laboratory instruments which is time-consuming and laborious. Furthermore, it is not suitable when the water sampling point is far from the commercial laboratory centres. These limitations were then been solved by the developments of portable testing kits and microwave technique. The microwave techniques such as spectroscopy techniques and microwave sensor approach have improved the water quality monitoring experience which is convenient without sacrificing the measurement accuracy and sensitivity. Its portability enables the on-site measurement at rural areas and thus reduce the transportation and manpower cost. This paper intends to review the water contaminant detection techniques which include standardized drinking water parameter testing and microwave-based in terms of physical, chemical and microbiological parameters. Furthermore, this review also emphasizes the current trend of the water quality testing method in microwave technique. At the end of this paper, a significant advantages and drawbacks of the techniques are summarized, and recommendations are provided for future development in the water quality monitoring.
Volume: 18
Issue: 3
Page: 1416-1423
Publish at: 2020-06-01

Parkinson disease classification: a comparative analysis on classification techniques

10.11591/ijeecs.v18.i3.pp1351-1358
Nazri Mohd Nawi , Mokhairi Makhtar , Zehan Afizah Afip , Mohd Zaki Salikon
Parkinson’s disease (PD) among Alzheimer’s and epilepsy are one of the most common neurological disorders which appreciably affect not only live of patients but also their households. According to the current trend of aging social behaviour, it is expected to see a rise of Parkinson’s disease. Even though there is no cure for PD, a proper medication at the early stage can help significantly in alleviating the symptoms. Since, the traditional method for identifying PD is rather invasive, expansive and complicated for self-use, there is a high demand for using classification method on PD detection. This paper compares the performance of Neural Network and decision tree for classifying and discriminating healthy people for people with Parkinson’s disease (PD) by distinguishing dysphonia. The simulation results demonstrate that Neural Network outperformed decision tree by giving accurate results with 87% accuracy as compared to decision tree with only 84% accuracy in determining the classification of healthy and people with Parkinson’s.
Volume: 18
Issue: 3
Page: 1351-1358
Publish at: 2020-06-01

Cyclic voltammetry characterization analysis on the cu/flame retardant 4 fabricated biosensor

10.11591/ijeecs.v18.i3.pp1199-1206
Irni Hamiza Hamzah , Azman Ab Malik , Aida Zulia Zulhanip , Zainal Hisham Che Soh , Alhan Farhanah Abd Rahim
Silicon, glass and ceramic are commonly base substrate used in DNA biosensor fabrication due to its biocompatible, expensive, hard and brittle. However due to the difficulty for drilling and dicing, these materials required expensive equipments and complex methodology of fabrication. Large gap of thermal expansion coefficient (TEC) between silicon/glass and film caused microcracks. Hence, the aim of this work is to investigate the suitability and the application of a non-biocompatible material, flame retardant 4 (FR4) as a base substrate for a label free DNA biosensor. Cyclic voltammetry (CV) reversible method has been implemented to test the fabricated Cu/Au on the FR4. It is found that the fabrication of Au has been made possible by the used of oxide-free Cu as an adhesion layer on the FR4 substrate. The area size of counter electrode (CE), working electrode (WE) and reference electrode (RE) are found to be 6.25 mm2, 0.581 mm2 and 1.04 mm2, respectively, in order to achieve the unity reversible redox relationship and to ensure the sensor’s reliability for 10 mM K3Fe(CN)6 solution in 0.1 M KCl. Thus it can be concluded that the proposed FR4-based substrate fulfilled the CV reversible process characterization.
Volume: 18
Issue: 3
Page: 1199-1206
Publish at: 2020-06-01

Security-aware fair transmission scheme for 802.11 based cognitive IoT

10.11591/ijece.v10i3.pp2589-2599
Hayoung Oh
Cognitive IoT is exponentially increased because of various real time and robust applications with sensor networks and big data analysis. Each IoT protocol of network layer can be RPL, COAP and so on based on IETF standards. But still collision problems and security-aware fair transmission on top of scalable IoT devices were not solved enough. In the open wireless LAN system based cognitive IoTs, IoT node that is continuously being stripped of its transmission opportunity will continue to accumulate packets to be sent in the butter and spoofing attacks will not allow the data transfer opportunities to be fair. Therefore, in this paper, we propose a method to reduce the average wait time of all packets in the system by dynamically controlling the contention window (CW) in a wireless LAN based cognitive IoT environment where there are nodes that do not have fair transmission opportunities due to spoofing attacks. Through the performance evaluation, we have proved that the proposed technique improves up to 80% in terms of various performance evaluation than the basic WLAN 802.11 based IoT.
Volume: 10
Issue: 3
Page: 2589-2599
Publish at: 2020-06-01

Determinants of hypertension among adults living in Bole Sub-city, Addis Ababa

10.11591/ijphs.v9i2.20427
Selam Ayele Kassie , Kidanemariam G/Michael Beyene , Mesafint Abeje Tiruneh
Complications of hypertension account for 9.4 million deaths world wide every year. Evidences indicated that hypertension and elevated blood pressure are increasing partly due to increase in determinants. In Addis Ababa, there is limited information on determinants of hypertension among adults. Hence, this study aimed to assess determinants of hypertension among adults living in Bole Sub-city, Addis Ababa. Community based unmatched case-control study was conducted. Simple random sampling technique was used to select 122 cases and 244 controls. Data were collected using interviewer administered structured questionnaire and measurement of blood pressure, weight and height. Binary logistic regression model was used for data analysis. A total of 348 adults were included in the study with 95% response rate. The study showed that age (AOR=7.68, 95% CI: 2.31–25.48), average family monthly in come (AOR=6.39, CI: 1.60-25.55), family history of hypertension (AOR=4.50, CI: 1.14-17.62), body mass index (AOR=3.76, CI: 1.49-9.48), physical activity (AOR=3.66, CI: 1.21–11.07), tobacco use (AOR=8.99,CI:2.02-39.86), salt consumption (AOR=5.22, CI: 1.47-18.48), stress (AOR=5.18, CI:2.42–11.09), knowledge (AOR=8.82, CI: 3.14-24.72) and diabetic mellitus (AOR=8.42, CI: 1.44-48.97) were significantly associated with hypertension. Cases had higher exposure to risk factors of hypertension than controls. Age, average family monthly income, physical activity, saltcon sumption, diabetic mellitus, stress, tobacco use, body mass index, family history of hypertension and knowledge were associated with hypertension. There is a need to health education to prevent tobacco use, regular exercise, reduce salt consumption and other life style modifications to reduce hypertension.
Volume: 9
Issue: 2
Page: 121-128
Publish at: 2020-06-01
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