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A Review of Energy-aware Cloud Computing Surveys

10.12928/telkomnika.v16i6.9938
Azlan; Universiti Teknologi MARA Ismail , Nor Adzlan; Universiti Teknologi MARA Jamaludin , Suzana; Universiti Teknologi MARA Zambri
The increasing demands on the usage of data centers especially in provisioning cloud applications (i.e. data-intensive applications) have drastically increased the energy consumption and becoming a critical issue. Failing to handle the increasing in energy consumption leads to the negative impact on the environment, and also negatively affecting the cloud providers’ profits due to increasing costs. Various surveys have been carried out to address and classify energy-aware approaches and solutions. As an active research area with increasing number of proposals, more surveys are needed to support researchers in the research area. Thus, in this paper, we intend to provide the current state of existing related surveys that serve as a guideline for the researchers as well as the potential reviewers to embark into a new concern and dimension to compliment existing related surveys. Our review highlights four main topics and concludes to some recommendations for the future survey.
Volume: 16
Issue: 6
Page: 2740-2746
Publish at: 2018-12-01

Response of Polycrystalline Solar Cell Outputs to Visible Spectrum and other Light Sources-a Case Study

10.11591/ijece.v8i6.pp4096-4103
Ayman Y. Al-Rawashdeh , Omar Albarbarawi , Ghazi Qaryouti
In this case study, two polycrystalline solar modules were installed outdoors (irradiated by sunlight) and indoors (irradiated by artificial lights). The solar cells in both cases were installed using different color filters that allowed the passage of certain light frequencies. The amount of energy produced by each module were measured and compared to a reference module with no filter. The results indicated the variable response of polycrystalline solar cells to natural and artificial light sources, being more responsive in both cases to red band color as could be deduced from their % current outputs (72.5% sunlight radiation; 84.38% artificial light sources). Other colors, including yellow, green, orange and violet afforded acceptable outputs. The results indicated that electrical outputs of indoor solar cells decreased when colored filters were used, but red filter in general afforded the maximum outputs, for both the artificially radiated indoor and naturally radiated outdoor solar cells. The case study suggests the possible complementary advantage of using indoor mounted solar cells for the production of electricity during artificial illumination period of the day.
Volume: 8
Issue: 6
Page: 4096-4103
Publish at: 2018-12-01

Application of EMG and Force Signals of Elbow Joint on Robot-assisted Arm Training

10.12928/telkomnika.v16i6.11707
Riky Tri; Universitas Airlangga Yunardi , Eva Inaiyah; Universitas Airlangga Agustin , Risalatul; Universitas Airlangga Latifah , Winarno; Universitas Airlangga Winarno
Flexion-extension based on the system's robotic arm has the potential to increase the patient's elbow joint movement. The force sensor and electromyography signals can support the biomechanical system to detect electrical signals generated by the muscles of the biological. The purpose of this study is to implement the design of force sensor and EMG signals application on the elbow flexion motion of the upper arm. In this experiments, the movements of flexion at an angle of 45º, 90º and 135º is applied to identify the relationship between the amplitude of the EMG and force signals on every angle. The contribution of this research is for supporting the development of the Robot-Assisted Arm Training. The correlation between the force signal and the EMG signal from the subject studied in the elbow joint motion tests. The application of sensors tested by an experimental on healthy subjects to simulating arm movement. The experimental results show the relationship between the amplitude of the EMG and force signals on flexion angle of the joint mechanism for monitoring the angular displacement of the robotic arm. Further developments in the design of force sensor and EMG signals are potentially for open the way for the next researches based on the physiological condition of each patient.
Volume: 16
Issue: 6
Page: 2913-2920
Publish at: 2018-12-01

Repair and Replacement Strategy for Optimizing Cost and Time of Warranty Process using Integer Programming

10.12928/telkomnika.v16i6.10407
Ardy; Institut Teknologi Sepuluh Nopember Januantoro , Riyanarto; Institut Teknologi Sepuluh Nopember Sarno
Warranty is an assurance issued by a company as the manufacturer to guarantee that its product is damage-free within a specified period. The warranty process is usually carried out when a complaint or damage regarding the product is received. The warranty process consists of two decisions that the company establishes to handle the process. The occurring problem is in the warranty process; there is not any standard established to determine the cost to incur for the warranty process. In this research, integer programming method was used to do optimization on repair and replacement strategy in warranty process. Before doing optimization, mathematical model must be created. Using that mathematical model, the results show that the costs of the warranty process decrease by 16.97%, while the time increases by 13.9%. So, with this method company will be increase the profit.
Volume: 16
Issue: 6
Page: 2683-2691
Publish at: 2018-12-01

Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using Surface Meteorological Parameter over ITERA Astronomical Observatory (IAO)

10.12928/telkomnika.v16i6.9106
Wahyu Sasongko; Institut Teknologi Sumatera (ITERA) Putro , Wirid; Institut Teknologi Sumatera (ITERA) Birastri , Robiatul; Institut Teknologi Sumatera (ITERA) Muztaba , Anissa Novia Indra; Institut Teknologi Sumatera (ITERA) Putri , Nindhita; Institut Teknologi Sumatera (ITERA) Pratiwi , Hakim Luthfi; Institut Teknologi Sumatera (ITERA) Malasan
This study aims to develop Fuzzy Inference System (FIS) trail of star seeing over ITERA Astronomical Observatory (IAO) using surface meteorological parameter during site selection to develop observatory. The one-day surface meteorological observation such as Pressure (P), Temperature (T), and Humidity (H) and trail of Albireo (β Cyg) star seeing value was taken from Mt. Betung, Lampung, Indonesia. The surface meteorological data are analyzed to obtain Albireo (β Cyg) star seeing value in 3 to 4 August 2017. By using statistical method obtained the seeing value in daily variation of Albireo (β Cyg) star trail with surface meteorological as a predictor parameter. The standard error of estimate (S-Value) between predictor parameter (pressure and humidity) with Albireo star seeing are reached 0.0027543 in two days variation. Based on the result, the three Membership Functions (MFs) with Gaussian function was proposed in this study to develop FIS trail of star. The result shows that the configuration analysis from input parameter FIS with 15 role bases from surface meteorological parameter has successful to targeted with Albireo (β Cyg) star trail. The 15 role bases from FIS was used to estimate seeing value from meteorological parameter in near future.
Volume: 16
Issue: 6
Page: 2980-2987
Publish at: 2018-12-01

Implementation of Integration VaaMSN and SEMAR for Wide Coverage Air Quality Monitoring

10.12928/telkomnika.v16i6.10152
Yohanes Yohanie Fridelin; Politeknik Elektronika Negeri Surabaya Panduman , Adnan Rachmat Anom; Politeknik Elektronika Negeri Surabaya Besari , Sritrusta; Politeknik Elektronika Negeri Surabaya Sukaridhoto , Rizqi Putri Nourma; Nahdlatul Ulama University of Surabaya Budiarti , Rahardhita Widyatra; Okayama University Sudibyo , Funabiki; Okayama University Nobuo
The current air quality monitoring system cannot cover a large area, not real-time and has not implemented big data analysis technology with high accuracy. The purpose of an integration Mobile Sensor Network and Internet of Things system is to build air quality monitoring system that able to monitor in wide coverage. This system consists of Vehicle as a Mobile Sensors Network (VaaMSN) as edge computing and Smart Environment Monitoring and Analytic in Real-time (SEMAR) cloud computing. VaaMSN is a package of air quality sensor, GPS, 4G WiFi modem and single board computing. SEMAR cloud computing has a time-series database for real-time visualization, Big Data environment and analytics use the Support Vector Machines (SVM) and Decision Tree (DT) algorithm. The output from the system are maps, table, and graph visualization. The evaluation obtained from the experimental results shows that the accuracy of both algorithms reaches more than 90%. However, Mean Square Error (MSE) value of SVM algorithm about 0.03076293, but DT algorithm has 10x smaller MSE value than SVM algorithm.
Volume: 16
Issue: 6
Page: 2630-2642
Publish at: 2018-12-01

Light Control and Watering System in Greenhouse for The Cultivation of Chrysanthemum Sp

10.11591/ijeecs.v12.i3.pp950-957
Adam Faroqi , Muhammad Ali Ramdhani , Muhammad Fahmi Amrillah , Lia Kamelia , Eneng Nuraeni
Chrysanthemum (Chrysanthemum Sp) is sensitive to temperature and humidity. The greenhouse is an appropriate planting medium since temperature and humidity can be engineered there. This article presents the design of systems using DHT-22 and SEN0057 sensors. Real Time Clock (RTC) is used for providing timing input and functions as an extra light intensity timer. Arduino Mega 2560 is used as a microcontroller functioning to receive the results of sensor measurement and to give output instructions to condition the temperature and humidity. The testing on chrysanthemum Sp placed inside the greenhouse equipped with the system for 7 days shows an increase of height of 3.7 cm. As for chrysanthemum Sp placed outside the greenhouse equipped with the system for 7 days, there is an increase of height of 0, 2 cm. These greenhouse light control and Watering systems can engineer the temperature and humidity in accordance with the needs of chrysanthemum Sp cultivation in the greenhouse. 
Volume: 12
Issue: 3
Page: 950-957
Publish at: 2018-12-01

Determining Strategies on Playing Badminton using the Knuth-Morris-Pratt Algorithm

10.12928/telkomnika.v16i6.11554
Lala Septem; Universitas Pendidikan Indonesia Riza , Muhammad Irfan; Universitas Pendidikan Indonesia Firmansyah , Herbert; Universitas Pendidikan Indonesia Siregar , Dian; Universitas Pendidikan Indonesia Budiana , Alejandro; Tecnologico de Monterrey Rosales-Pérez
Mastery techniques in badminton game are a main ability that must be possessed by players. One part of these techniques is the strategy in proper shuttlecock placement, so that the opposing player is difficult to restore it. Therefore, this study aims to build a computational model and its implementation that are able to provide predictions/recommendations for trainers and players on determining strategies of shuttlecock’s placements and strokes. The proposed model takes into account historical game patterns that have been done by world class athletes. Then, string matching using the Knuth-Morris-Pratt algorithm and a clustering method are utilized to provide solutions to be some strategies on shooting the shuttlecock. The model is then implemented in the R programming language. Several experiments, involving 20 series of world matches collected as historical data, have been conducted to validate the system. From the results obtained, it can be concluded that the system can be used as an alternative tool for players and coaches to determine the strategy in the placement and strokes of shuttlecock on badminton game.
Volume: 16
Issue: 6
Page: 2763-2770
Publish at: 2018-12-01

3D Double Gate FinFET Construction of 30 nm Technology Node Impact Towards Short Channel Effect

10.11591/ijeecs.v12.i3.pp1358-1365
Ameer F. Roslan , F. Salehuddin , A.S. M.Zain , K.E. Kaharudin , H. Hazura , A.R Hanim , S. K Idris , B.Z. Zarina , Afifah Maheran A.H
This paper presents an investigation on properties of Double Gate FinFET (DGFinFET) and impact of physical properties of FinFET towards short channel effects (SCEs) for 30 nm device, where depletion-layer widths of the source-drain corresponds to the channel length aside from constant fin height (HFIN) and the fin thickness (TFIN). Virtual fabrication process of 3-dimensional (3D) design is applied throughout the study and its electrical characterization is employed and substantial is shown towards the FinFET design whereby in terms of the ratio of drive current against the leakage current (ION/IOFF ratio) at 563138.35 compared to prediction made by the International Technology Roadmap Semiconductor (ITRS) 2013. Conclusively, the incremental in ratio has fulfilled the desired in incremental on the drive current as well as reductions of the leakage current. Threshold voltage (VTH) meanwhile has also achieved the nominal requirement predicted by the International Technology Roadmap Semiconductor (ITRS) 2013 for which is at 0.676±12.7% V. The ION , IOFF and VTH obtained from the device has proved to meet the minimum requirement by ITRS 2013 for low performance Multi-Gate technology.
Volume: 12
Issue: 3
Page: 1358-1365
Publish at: 2018-12-01

A Conceptual Model of Role Based Access Control Using Role Mining Algorithm

10.11591/ijeecs.v12.i3.pp1394-1400
Nazirah Abd Hamid , Rabiah Ahmad , Siti Rahayu Selamat
Numerous studies have shown that currently, role-based access control has becoming one of the successful access control model because of its principle that could simplifies the work of security administrators. However, to construct a concise, role-based access control system, a good role mining algorithm structure is needed therefore the objectives of this paper are firstly, to provide a general overview on phases that involved in designing and developing the algorithm and secondly, to introduce a conceptual model that constructed based on the analysis and this model represents a general process in role mining model. This model involved series of phases that begin with the input of data, pre-processing stage, candidate role generation phase, role selection and role assignment process and lastly number of roles as generated output.
Volume: 12
Issue: 3
Page: 1394-1400
Publish at: 2018-12-01

Message Oriented Middleware For Library’s Metadata Exchange

10.12928/telkomnika.v16i6.9475
Ni Wayan; Bali State Polytechnic Wisswani , I Wayan Kandi; Ngurah Rai University Wijaya
Library is one of the important tools in the development of science to store various intellectual properties. Currently most libraries are managed by standalone systems and are not equipped with data exchange facilities with other libraries for sharing information. Sharing of information between libraries can be done with integration metadata owned library. In this research, the integration architecture of metadata exchange is done with Message Oriented Middleware (MOM) technology. This MOM redeems the collection metadata that matches the standard Dublin Core format. In this research, database structure, MOM structure and set of rules to perform data sharing process. With the proposed MOM architectural design is expected to search process information between libraries will become easier and cheaper.
Volume: 16
Issue: 6
Page: 2756-2762
Publish at: 2018-12-01

Employee Performance Measurement in Teleworking Using Balanced Scorecard

10.11591/ijece.v8i6.pp5178-5184
Sunu Sugi Arso , Sfenrianto Sfenrianto , Mochamad Wahyudi
Key Performance Indicator (KPI) must be aligned with the development of the organization. PT. Mitra Intregrasi Informatika (MII) in its development decided to change the traditional way of work to modern telework. This encourages companies to adjust employee’s KPI from the traditional way of work turns in to telework. In order to perform KPI measurement of its employees based on teleworking, this research uses balanced scorecard method approach that is by taking into account financial, customer, and internal business process and learning and growth perspective. The results of this study are the design proposal KPI employees to accommodate telework at the company. Then KPI employee test results showed an increase in the average value of the employee KPI of 0.295 points (9.47%) of the old KPI. Thus, it is recommended to the company to implement the employee KPI.
Volume: 8
Issue: 6
Page: 5178-5184
Publish at: 2018-12-01

Optimization a Scheduling Algorithm of CA in LTE ADV

10.12928/telkomnika.v16i6.10054
Sarmad K.; Al - Mustansiriyah University Ibrahim , Nasser N.; Al-Nahrain University Khamiss
Long-Term Advancement Progressed (LTE-ADV) is the advancement of the long-term evolution, which created via 3GPP. LTE-ADV aims to offer a transmission bandwidth of (100) MHz by using Carrier Aggregation (CA) to aggregate LTE-ADV carriers. To increase the data capacity of the system and resource allocation converts a very good tool. LTE-Advanced multiple Component Carriers (CCs) becomes a difficult optimization problem. In the paper proposes a new scheduling algorithm and compares with a different scheduling traditional algorithms that are proportional fair and round robin in the CA, in order to find the best scheduler that provides high-quality throughput and improves fairness. It i also evaluates mapping model types are Mutual Information Effective SINR Mapping (MIESM) and Exponential Effective SINR Mapping (EESM). The results show that the throughput in the proposed algorithm with MIESM outperforms from others mapping and scheduling.
Volume: 16
Issue: 6
Page: 2514-2521
Publish at: 2018-12-01

Classification of Prostate Cancer using Wavelet Neural Network

10.11591/ijeecs.v12.i3.pp968-973
Mohanad Najm Abdulwahed
Prostate cancer is the century disease that endanger the life of men. The earlier to diagnose the disease, the probability of curing this disease is higher. Therefore, new approaches of diagnosis is required to effectively detect the prostate cancer in early stage compared to the traditional methods. Therefore, WNN is a new adopted approach in prostate cancer diagnosis. Morlet function is used as an activation function of wavelet neural network (WNN) and back propagation (BP) is applied to train the Wavelet network. WNN classifies prostate cancer according to three factors: patient age, PSA level, and prostate volume. WNN performance is evaluated based on the percentage of classification and the computational complexity of several cases. The results of the simulation show that WNN has lower mean squared error (MSE) than the Neural Network (NN).
Volume: 12
Issue: 3
Page: 968-973
Publish at: 2018-12-01

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

10.11591/ijai.v7.i4.pp190-196
K. Lenin
In this paper, Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. The problem of converging to local optimum solutions occurred for the Bang-Big Crunch (BB-BC) approach due to greedily looking around the best ever found solutions. The proposed algorithm takes advantages of typical Big Bang-Big Crunch (BB-BC) algorithm and enhances it with the proper balance between exploration and exploitation factors. Proposed EBC algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the improved performance of the proposed algorithm in reducing the real power loss.
Volume: 7
Issue: 4
Page: 190-196
Publish at: 2018-12-01
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