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29,939 Article Results

A Review on Structured Scheme Representation on Data Security Application

10.11591/ijeecs.v11.i2.pp733-739
Siti Norussaadah Mohd Salleh , Roshidi Din , Nur Haryani Zakaria , Aida Mustapha
With the rapid development in the era of Internet and networking technology, there is always a requirement to improve the security systems, which secure the transmitted data over an unsecured channel. The needs to increase the level of security in transferring the data always become the critical issue. Therefore, data security is a significant area in covering the issue of security, which refers to protect the data from unwanted forces and prevent unauthorized access to a communication. This paper presents a review of structured-scheme representation for data security application. There are five structured-scheme types, which can be represented as dual-scheme, triple-scheme, quad-scheme, octal-scheme and hexa-scheme. These structured-scheme types are designed to improve and strengthen the security of data on the application.
Volume: 11
Issue: 2
Page: 733-739
Publish at: 2018-08-01

Efficiency of Wireless Power Transfer System with PWM Methode as Rectifier on Receiver

10.12928/telkomnika.v16i4.8046
Zuansah Rachmat; Mercubuana University Munggaran , Mudrik; Mercubuana University Alaydrus
One part of the wireless power transfer system is rectifier, where the energy which received by the receiver conditioned according to the device character. While devices with direct current as a wave form of electrical energy is commonly used. Conventional rectifier was using half wave or full wave circuit where uses diode circuit, capacitor and transformer as filter. The disadvantage of the system is reactive power and harmonization. We proposed the pulse width modulation because PWM could enhanced power factor value on an AC voltage source system with 50 Hz frequency. The main focus on which this study was based was to derive efficiency values from pulse width modulation utilization in the rectification process while the frequency work at 5 MHz and highest power at 54.48 Watt, and compare this reasearch with published research for similar systems. To achieve the objectives of this study then performed design and build system, measurement and analysis of the value of system efficiency. The results of the research obtained the highest value of efficiency at 81%.
Volume: 16
Issue: 4
Page: 1427-1434
Publish at: 2018-08-01

Development of Fall Risk Detector for Elderly

10.12928/telkomnika.v16i4.9066
Nor Aini; Universiti Teknologi Malaysia, Malaysia Zakaria , Nur Amalina; Universiti Teknologi Malaysia, Malaysia Rashid , Muhammad Amir; Universiti Teknologi Malaysia, Malaysia Asa’ari
In Malaysia, falls has become the most common injuries for elderly. Therefore, a wearable fall detector device is created to decrease the risk of serious injury among elderly. The device consists of an accelerometer (ADXL345) as a sensor, an Arduino Nano as a microcontroller, and a Global System for Mobile Communications (GSM) as a notifier. A group of 15 young people participated in performing several sets of different falls and ADL (daily life activities) to determine the ability of the device. The result shows a good functioning performance by 92.6% sensitivity to detect fall and 89.3% specificity in discriminate fall from daily life activity.
Volume: 16
Issue: 4
Page: 1577-1582
Publish at: 2018-08-01

Capacitive Sensing Algorithm for Elderly Activity Detection Scheme Indoor Environment

10.11591/ijeecs.v11.i2.pp515-521
Atika Arshad , Sheroz Khan , Kushsairy Abdul Kadir , Rumana Tasnim
The aim of this research is to assist elderlies in accomplishing their everyday tasks through facilitating their home atmosphere with sensors, actuators, and computational resources. A significant effort is needed to incorporate them to make them effective in daily life. Particularly, the tracking and detection of elderly people’s daily tasks, associated with the information of the user's location in the home environment signify the key pillars of this work. The detecting and tracking algorithm uses the sensory data to indicate an associated situation in order to allow elderly people with special requirements. Monitoring the elderly’s behaviour over a long period of time will allow prediction of their forthcoming alarming situation which allows the finding of the elderly’s behavioural deviations in their everyday routine. The proposed resolution has been methodically assessed in the laboratory.
Volume: 11
Issue: 2
Page: 515-521
Publish at: 2018-08-01

The Forecasting Technique Using SSA-SVM Applied to Foreign Tourist Arrivals to Bali

10.12928/telkomnika.v16i4.7293
Yosep Oktavianus; Padjadjaran University Sitohang , Yudhie; Padjadjaran University Andriyana , Anna; Padjadjaran University Chadidjah
In order to achieve a targeted number of foreign tourist arrivals set by the Indonesian government in 2017, we need to predict the number of foreign tourist arrivals. As a major tourist destination in Indonesia, Bali plays an important role in determining the target. According to the characteristic of the tourist arrivals data, one shows that we need a more flexible forecasting technique. In this case we propose to use a Support Vector Machine (SVM) technique. Furthermore, the effects of noise components have to be filtered. Singular Spectrum Analysis (SSA) plays an important role in filtering such noise. Therefore, the combination of these two methods (SSA-SVM) will be used to predict the number of foreign tourist arrivals to Bali in 2017. The performance of SSA-SVM is evaluated via simulation studies and applied to tourist arrivals data in Bali. As the results, SSA-SVM shows better performances compare to other methods.
Volume: 16
Issue: 4
Page: 1679-1687
Publish at: 2018-08-01

Analysing Signal Strength and Connection Speed in Cloud Networks for Enterprise Business Intelligence

10.12928/telkomnika.v16i4.8454
Gananda; Bogor Agricultural University Hayardisi , Kudang Boro; Bogor Agricultural University Seminar , Arief; Bogor Agricultural University Ramadhan
Signal strength and speed connection data which are collected and available in a company have not been optimally and beneficially processed and stored for more added value business purposes. Therefore, the collected data need to be utilized in more strategic way for business intelligent in the company that enables management to conduct better and smarter decision making. This research is aimed to develop a business intelligence system based on cloud computing platform which is more flexible and manageable in terms of cost and resources. The developed system adopts the three tier architectures of data warehouse that provides data extraction, transform, and load (ETL) functions and the creation of dimensional models and visualization in dashboard forms. Business intelligence solutions have been created based on cloud computing using Microsoft Azure SQL Database as database storage of data warehouse and Power BI as a dimensional model and dashboard visualization. The developed system prototype has been implemented and tested for its functionalities and capabilities in a web platform.
Volume: 16
Issue: 4
Page: 1779-1784
Publish at: 2018-08-01

Microcontroller-based Control and Data Acquisition System for a Grid-connected Renewable Energy System

10.12928/telkomnika.v16i4.9042
Kevin D.; Malayan Colleges Laguna Dugay , Adam Z.; Malayan Colleges Laguna Luisaga , Jomille Angelo Carlo O.; Malayan Colleges Laguna Bancud
There has been a significant increase in the exploitation of renewable energy systems. To be able to efficiently utilize grid - connected renewable energy sources, there must be a reliable control and monitoring system. In building a control and monitoring system for this system, a power analyzer connected to a microcontroller was used. The microcontroller was linked to touchscreen display where a graphical user interface (GUI) was programmed to able to display and log the data recovered. Relays were used to reconfigure the system by shifting the load’s source of energy between the grid and renewable energy system. The energy generated by the renewable energy system may be delivered to the load or be fed to the grid as needed. This operation will be done through either an external device or through a computer which was built to manually operate the control system and view the status of the system as determined by parameters such as cost and energy consumption. This system provided residential buildings with their own renewable energy system with a simple yet reliable control and monitoring system. The system was able to accumulate accurate and real time data. It also provided a continuous supply and switching application simultaneously.
Volume: 16
Issue: 4
Page: 1481-1489
Publish at: 2018-08-01

Street Lighting System for Smart Cities Using Micro-Controllers

10.11591/ijeecs.v11.i2.pp567-576
Aaquib Parkar , Prashant Kumar Soori
The main goal is to simulate different configurations of street lighting system using DIALux and optimize the energy consumption. Data of the existing road in the United Arab Emirates is considered for simulation. Simulation results are validated by building a hardware model. This is accomplished by using LED modules instead of traditional HPS bulbs which is connected to an Arduino to control different sensors. Photo resistors are used to automatically switch the lights ON or OFF depending on the light intensity. Ultrasonic sensors are used to detect motion of cars and pedestrians in order to switch 50% of the lights off if no motion is detected. The recorded data is monitored by a Raspberry Pi which acting as a monitoring device. Practical measurements were conducted at different points on the road selected and are compared with the simulation results.The main goal is to simulate different configurations of street lighting system using DIALux and optimize the energy consumption. Data of the existing road in the United Arab Emirates is considered for simulation. Simulation results are validated by building a hardware model. This is accomplished by using LED modules instead of traditional HPS bulbs which is connected to an Arduino to control different sensors. Photo resistors are used to automatically switch the lights ON or OFF depending on the light intensity. Ultrasonic sensors are used to detect motion of cars and pedestrians in order to switch 50% of the lights off if no motion is detected. The recorded data is monitored by a Raspberry Pi which acting as a monitoring device. Practical measurements were conducted at different points on the road selected and are compared with the simulation results.
Volume: 11
Issue: 2
Page: 567-576
Publish at: 2018-08-01

Practical Application of In-door Tested Scaled Models on Real Building structures

10.11591/ijeecs.v11.i2.pp593-598
Irshad Ullah , MNR Baharom , H. Ahmad , H.M. Luqman , Zainab Zainal
Lightning indoor testing got a very low attention of the researchers. Although lightning is impossible to create inside the laboratory however it can be presented using high voltage impulse. High voltage impulse was generated in this paper which presents the actual lightning. Selected building structures were tested under the high voltage condition. This idea was implemented practically by applying it on different real building structures. Different building with different roof tops were observed practically and it was found that this research work has a good agreement of the lightning strike points observe during the indoor activities in high voltage lab and out door activity during the field study.
Volume: 11
Issue: 2
Page: 593-598
Publish at: 2018-08-01

A Front Surface Optimization Study for Photovoltaic Application

10.12928/telkomnika.v16i4.9059
A.; Universiti Teknologi Malaysia Nawabjan , F.; Universiti Teknologi Malaysia Iqbal , A. S.; Universiti Teknologi Malaysia Abdullah
In this paper, we presented a possible front surface optical enhancement of Si solar cell by optimizing the Antireflection (AR) and light trapping (LT) schemes. Conventional plasma enhanced chemical vapor deposition (PECVD) and in house hot wire chemical vapor deposition (HWCVD) tool was used to deposit Silicon Nitride (SiNX) layer and optimized at 668nm wavelength. This was followed by surface texturing of random pyramids to further enhance the broadband reflectance of the front surface. Broadband reflectance measurement using integrating sphere method showed achieved weighted average reflectance (WAR) value of as low as 1.8% and 1.5%, when 85nm SiNX was deposited on top of random pyramids structure using HWCVD and PECVD methods, respectively.
Volume: 16
Issue: 4
Page: 1383-1387
Publish at: 2018-08-01

Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes

10.11591/ijece.v8i4.pp2433-2441
Puneet Singh Lamba , Deepali Virmani
In everyday life, there are situations where the only way to communicate are emotions. EMOTICONS are the epitome of the same. This aspect of communication can also be used in emergency situations (terrorist attacks, hijacks) where the only way to communicate is by performing some extraordinary actions or through some emotions. Incorporating technology to the above mentioned circumstances the paper proposes a novel framework of detecting an emergency situation by retrieving information from emotions and eye blinks using sensor nodes. The proposed framework can be deployed in places (hotels, banks, airports etc.) which are more suspected to attacks. The framework takes input from real time parameters: eye blinks, emotions, heart rate. Based on behavioral changes, biological changes and physical changes the proposed framework extracts meticulous information. The proposed framework is further validated through implementation of a facial emotion recognition system that successfully recognizes various human emotions. The facial emotion recognition system of the proposed framework is compared with existing SVM technique in terms of accuracy, training and testing error. Accuracy with the proposed system is increased to 78.40% in comparison with existing SVM that is 75.37% and the training error is decreased to 0.004103 whereas with the existing SVM method training error is 0.008935.
Volume: 8
Issue: 4
Page: 2433-2441
Publish at: 2018-08-01

E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making

10.11591/ijeecs.v11.i2.pp475-486
Gandung Triyono , Sri Hartati , Reza Pulungan , Lutfan Lazuardi
Currently, the quality of health services in Indonesia is getting better. However, the referral system still has some problems. The first is the difficulty in determining the referral hospital by the condition of the patient. The second is the different parameters used to determine the referral hospitals between countries. Based on those problems, it is necessary to improve the ability of the current referral system. This study developed a reference system model for assessing the suitability of the patient's background with the referral hospital. Some of the methods used are restful on web service technologies for information exchange between primary health care doctors and referral hospitals, Fuzzy Multiple-Criteria Decision Making (FMCDM) to determine the ranking of referral hospitals that fit the patient's background. The result of this study is an intelligent system model to get the referral hospital that fit the patient's background.
Volume: 11
Issue: 2
Page: 475-486
Publish at: 2018-08-01

Algorithm for Predicting Compound Protein Interaction Using Tanimoto Similarity and Klekota-roth Fingerprint

10.12928/telkomnika.v16i4.5916
Isnan; Bogor Agricultural University Mulia , Wisnu Ananta; Bogor Agricultural University Kusuma , Farit Mochamad; Bogor Agricultural University Afendi
This research aimed to develop a method for predicting interaction between chemical compounds contained in herbs and proteins related to particular disease. The algorithm of this method is based on binary local models algorithm, with protein similarity section is omitted. Klekota-Roth fingerprint is used for the compound's representation. In the development process of the method, three similarity functions are compared: Tanimoto, Cosine, and Dice. Youden’s index is used to evaluate optimum threshold value. The result showed that Tanimoto similarity function yielded higher similarity values and higher AUC value than those of the other two functions. Moreover, the optimum threshold value obtained is 0.65. Therefore, Tanimoto similarity function and threshold value 0.65 are selected to be used on the prediction method. The average evaluation accuracy of the developed algorithm is only about 50%. The low accuracy value is allegedly caused by the only use of compound similarity on the prediction method, without including the protein similarity.
Volume: 16
Issue: 4
Page: 1785-1792
Publish at: 2018-08-01

Integrated Social Media Knowledge Capture in Medical Domain of Indonesia

10.12928/telkomnika.v16i4.8320
Kridanto; Institute of Technology Bandung Surendro , Dicky Prima; Institute of Technology Bandung Satya , Farrell; Institute of Technology Bandung Yodihartomo
The Social Media Platforms, as the one of largest part of today data traffic on the Internet, disseminate a vast volume of information, including medical information in it. Knowledge management system (KMS) approach is applied with purpose to capture, maintain, and manage tacit or explicit knowledge available and collected within the social media platforms, organization’s database, knowledge base, or document repository. By adding Indonesian Natural Language Processing (InaNLP), Machine Learning and Data Mining approach, our research has proposed a framework which is theoretically designed to improve the previous research related to social media knowledge capture model and enhance its accuracy and reliability of knowledge retrieved compared to previous knowledge capture model. This system mainly aimed for medical practitioner to give a quick suggestion of the diseases regarding to the early diagnose which has been taken in the first place. On this current research state, the pre-processing phase of the framework implementation and knowledge presentation is our main concernto maximize the information value for the knowledge users and also to reduce the language issues in texts such as ambiguity, inconsistency, use of slang vocabulary, etc.According to this research’s goal, we have designed an algorithm to extract feature from dataset.
Volume: 16
Issue: 4
Page: 1846-1856
Publish at: 2018-08-01

Maximum Power Point Tracking Charge Controller for Standalone PV System

10.12928/telkomnika.v16i4.9512
Mohd Asri; Universiti Malaysia Perlis Jusoh , Mohammad Faridun; Universiti Malaysia Perlis Naim Tajuddin , Shahrin Md; Universiti Teknologi Malaysia Ayob , Mohd Azrik; Universiti Malaysia Perlis Roslan
The depletion of conventional energy sources and global warming has raised worldwide awareness on the usage of renewable energy sources particularly solar photovoltaic (PV). Renewable energy sources are non-polluting sources which can meet energy demands without causing any environmental issues. For standalone PV systems, a low conversion efficiency of the solar panel and high installation cost due to storage elements are the two primary constraints that limit the widespread use of this system. As the size of the system increases, the demand for a highly efficient tracking and charging system is very crucial. Direct charging of battery with PV module will results in loss of capacity or premature battery degradation. Furthermore, most of the available energy generated by the PV module or array will be wasted if proper tracking technique is not employed. As a result, more PV panels need to be installed to provide the same output power capacity. This paper presents selection, design and simulation of maximum power point tracker (MPPT) and battery charge controller for standalone Photovoltaic (PV) system. Contributions are made in several aspects of the whole system, including selection of suitable converter, converter design, system simulation, and MPPT algorithm. The proposed system utilizes direct duty cycle technique thus simplifying its control structure. MPPT algorithm based on scanning approach has been applied by sweeping the duty cycle throughout the I-V curve to ensure continuous tracking of the maximum power irrespective of any environmental circumstances. For energy storage, lead acid battery is employed in this work. MATLAB/Simulink® was utilized for simulation studies. Results show that the propose strategy can track the MPPs and charge the battery effectively.
Volume: 16
Issue: 4
Page: 1413-1426
Publish at: 2018-08-01
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