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Gamification for Elementary Mathematics Learning in Indonesia

10.11591/ijece.v8i5.pp3860-3865
Yogi Udjaja , Vincent Sadino Guizot , Natalia Chandra
The purpose of this research is to combine multimedia elements and mathematics learning material to a mathematic learning interactive application. Research and design methodology that used is Game Development Life Cycle (GDLC) which consist of initiation, pre-production, production, testing and release. Content inside the game is made using gamification and expert system concept. The result of this research is an interactive learning game to support student to understand mathematic materials. The purpose of this application is to help student to learn mathematic in an interactive and interesting way, to deliver mathematic material easily.
Volume: 8
Issue: 5
Page: 3860-3865
Publish at: 2018-10-01

Control Radiation Pattern for Half Width Microstrip Leaky Wave Antenna by Using PIN Diodes

10.11591/ijece.v8i5.pp2959-2966
Mowafak khadom Mohsen , M.S.M. Isa , Z. Zakaria , A.A.M. Isa , M. K. Abdulhameed , Mothana L. Attiah
In this paper, a novel design for single-layer half width microstrip leakywave antenna (HW-MLWA) is demonstrated. This model can be digitally control its radiation pattern at operation frequency and uses only two values of the bias voltage, with better impedance matching and insignificant gain variation. The scanning and controlling the radiation pattern of leaky-wave antennas (LWA) in steps at an operation frequency, by using switches PIN diodes, is investigated and a novel HW-MLWA is introduced. A control cell reconfigurable, that can be switched between two states, is the basic element of the antenna. The periodic LWA is molded by identical control cells where as a control radiation pattern is developed by combining numerous reconfigurable control cells. A gap capacitor is independently connected or disconnected in every unit cell by using a PIN diode switch to achieve fixedfrequency control radiation pattern scanning. The profile reactance at the free edge of (HW-MLWA) and thus the main lobe direction is altered by changing the states of the control cell. The antenna presented in this paper, can scan main beam between 18o to 44o at fixed frequency of 4.2 GHz with measured peak gain of 12.29 dBi.
Volume: 8
Issue: 5
Page: 2959-2966
Publish at: 2018-10-01

Application of the ELECTRE III Method at the Moroccan Rural Electrification Program

10.11591/ijece.v8i5.pp3285-3295
Fatima Zahra El Mazouri , Mohammed Chaouki Abounaima , Khalid Zenkouar , Ahmed El Hilali Alaoui
As part of the integrated strategy of the Moroccan state aimed at the social and economic development of the Moroccan rural community, an electrification program has been in place since the 90s. This program, called PEGR, has for main objective the improvement of the electrification rate for the national rural world. Given the large number of villages to be electrified and the colossal budget that will induce, several criteria have been retained to objectively distinguish the villages with the highest priority for electrification. Given the nature of this problem to be solved, which is a multicriteria decision aid problem, we propose in this article to use the multicriteria aggregation method ELECTRE III to rank the villages from the highest priority to the lowest priority for the electrification.
Volume: 8
Issue: 5
Page: 3285-3295
Publish at: 2018-10-01

A Review of Ubiquitous Language Learning Environment

10.11591/ijeecs.v12.i1.pp275-281
Zurainee Mohd Tahir , Haryani Haron , Jasber Kaur
In today’s era of ubiquitous learning research, various studies have investigated the transformation of ubiquitous learning in multiple aspects. However, most of these research mainly focus on the study of ubiquitous learning environment. Limited review is on the configuration and components of ubiquitous learning focusing on the interaction process in language learning. Hence, this research performed literature analysis for ubiquitous language learning environment whereby it intends at providing specific information about ubiquitous learning concepts and the criteria that needed in the future research focusing on language learning. It begins by briefly describing the concept of ubiquitous learning environment, language learning skills and the importance of vocabulary learning and then on adult language learning. Finally, ubiquitous learning applications for multiple types of language learning are also compared and discussed to further enhance the understanding of ubiquitous language learning environment. Therefore, it is important to have a medium that can be used to improve language learning process to be more interactive. The result will also become a reference point to assist development of ubiquitous language learning applications.
Volume: 12
Issue: 1
Page: 275-281
Publish at: 2018-10-01

Theoretical Analysis and Empirical Comparison of Different Population Initialization Techniques for Evolutionary Algorithms

10.11591/ijeecs.v12.i1.pp87-94
Devika K , Guruswamy Jeyakumar
Evolutionary Algorithms (EAs) are the potential tools for solving optimization problems. The EAs are the population based algorithms and they search for the optimal solution(s) from an initial set of candidates solutions known as population. This population is to be initialized at first before the evolution of the algorithm starts. There exists different ways to initialize this population. Understanding and choosing the right population initialization technique for the given problem is a difficult task for the researchers and problem solvers. To alleviate this issue, this paper is framed with two objectives. The first objective is to present the details of various Population Initialization (PI) techniques of EAs, for the readers to give brief description of all the PI techniques. The second objective is to present the steps and empirical comparison of the results of two different PI techniques implemented for Differential Evolution (DE) algorithm. Theoretical insights and empirical results of the PI techniques are presented in this paper.
Volume: 12
Issue: 1
Page: 87-94
Publish at: 2018-10-01

Wind Generation Impact on Symmetrical Fault Level at Grid Buses

10.11591/ijece.v8i5.pp2682-2690
A. Hamzeh , Sadeq A. Hamed , Zakaria Al-Omari
This paper mainly aims at evaluating quantitatively the impact of wind turbine generators (WTGs) on fault level (FL) in case of a balanced fault occurring in the host grid (HG). This impact is not generic but it depends on the grid configuration, operation mode, and load profile; the impact may be positive for a network while it is negative for another one. Therefore, the impact will be estimated for a specific distribution network (DN). The grid faults and wind generations (WGs) are simulated by the simulation tool Power Factory DigSilent 14.0.506. The paper addresses the influence on FL of grid buses in general and particularly on FL of the point of common coupling (PCC). The effect of both penetration and dispersion levels of embedded WTGs on fault response is also investigated. Moreover, the influence of WG type on FL is assessed. It is concluded, among other points, that the FL at PCC could rise by about 150% and 17% due to embedded WG of type 1 and type 2 respectively, what it leads to the recommendation to avoid installing type 1 wind systems for new wind farms
Volume: 8
Issue: 5
Page: 2682-2690
Publish at: 2018-10-01

Simulation of Zeta Converter Based 3-level NPC Inverter with PV System

10.11591/ijeecs.v12.i1.pp1-6
D. Selvabharathi , Palanisamy R , K. Selvakumar , V. Kalyanasundaram , D. Karthikeyan , Amal Nair , Kriti Karnavat , Annanya Sharma
This paper proposes increasing the efficiency of the autonomous Photovoltaic (PV) system by utilizing zeta converter alongside neutral point clamped multilevel inverters (NPC-MLI) based on innovative PWM scheme. The PV system acts as an input source and the relevant control of zeta converter through maximum power point tracking (MPPT) offers the maximum available power from the PV array connected to DC-link. To obtain a high voltage gain we need to exhaust the dc-link voltage as much as possible and reduce stress on the switches. For this the NPC-MLI algorithm approaches PWM technique to perform capacitive charging in parallel and discharging in series to obtain maximum voltage gain. The proposed scheme is designed and verified via detailed simulations in the MATLAB/Simulink environment. 
Volume: 12
Issue: 1
Page: 1-6
Publish at: 2018-10-01

Design of 10 to 12 GHz Low Noise Amplifier for Ultrawideband (UWB) Syste

10.11591/ijece.v8i5.pp2773-2779
Toulali Islam , Lahbib Zenkouar
Balanced amplifier is the structure proposed in this article, it provides better performance. In fact, the single amplifier meets the specification for noise figure and gain but fails to meet the return loss specification due to the large mis-matches on the input & outputs. To overcome this problem one solution is to use balanced amplifier topography. In this paper, a wide-band and highgain microwave balanced amplifier constituted with branch line coupler circuit is proposed. The amplifier is unconditionally stable in the band [9-13] GHz where the gain is about 20dB. The input reflection (S11) and output return loss (S22) at 11 GHz are -33.4dB and -33.5dB respectively.
Volume: 8
Issue: 5
Page: 2773-2779
Publish at: 2018-10-01

Predicting the Brand Popularity from the Brand Metadata

10.11591/ijece.v8i5.pp3523-3535
Bhargavi K , Sathish Babu B , S. S. Iyengar
Social networks have become one of the primary sources of big data, where a variety of posts related to brands are liked, shared, and commented, which are collectively called as brand metadata. Due to the increased boom in E/M-commerce, buyers often refer the brand metadata as a valuable source of information to make their purchasing decision. From the literature study, we found that there are not many works on predicting the popularity of the brand based on the combination of brand metadata and comment’s thoughtfulness analysis. This paper proposes a novel framework to classify the comment’s as thoughtful favored or disfavored comment’s, and later combines them with the brand metadata to forecast the popularity of the brand in near future. The performance of the proposed framework is compared with some of the recent works w.r.t. thoughtful comment’s identification accuracy, execution time, prediction accuracy and prediction time, the results obtained are found to be very encouraging.
Volume: 8
Issue: 5
Page: 3523-3535
Publish at: 2018-10-01

Optimization for Electric Power Load Forecast

10.11591/ijece.v8i5.pp3453-3462
I. A. Ethmane , M. Maaroufi , A. K. Mahmoud , A. Yahfdhou
Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known. To solve the problem of load flow, we use the iterative method, of Newton-Raphson. Analysis of the found results using numerical method programmed on the Matlab software and PSS/E Simulator lead us to seek means of controlling the reactive powers and the bus voltages of the Nouakchott power grid in 2030 year. In our case, we projected the demand forecast at 2015 to 2030 years. To solve the growing demand we injected the power plants in the system firstly and secondly when the production and energy demand are difficult to match due to lack of energy infrastructures in 2030.It is proposed to install a FACTS (Flexible Alternative Current Transmission Systems) system at these buses to compensate or provide reactive power in order to maintain a better voltage profile and transmit more power to customers.
Volume: 8
Issue: 5
Page: 3453-3462
Publish at: 2018-10-01

Invesitigation of Malware and Forensic Tools on Internet

10.11591/ijece.v8i5.pp3179-3186
Tarun Kumar , Sanjeev Sharma , Ravi Dhaundiyal , Parag Jain
Malware is an application that is harmful to your forensic information. Basically, malware analyses is the process of analysing the behaviours of malicious code and then create signatures to detect and defend against it.Malware, such as Trojan horse, Worms and Spyware severely threatens the forensic security. This research observed that although malware and its variants may vary a lot from content signatures, they share some behaviour features at a higher level which are more precise in revealing the real intent of malware. This paper investigates the various techniques of malware behaviour extraction and analysis. In addition, we discuss the implications of malware analysis tools for malware detection based on various techniques.
Volume: 8
Issue: 5
Page: 3179-3186
Publish at: 2018-10-01

Modeling of a Microwave Amplifier Operating around 11 GHz for Radar Applications

10.11591/ijece.v8i5.pp3496-3503
Mohammed Lahsaini , Lahbib Zenkouar , Seddik Bri
The low noise amplifier is one of the basic functional blocks in communication systems. The main interest of the LNA at the input of the analog processing chain is to amplify the signal without adding significant noise. In this work, we have modeled a LNA for radar reception systems operating around 11 GHz, using the technique of impedance transformations with Smith chart utility. The type of transistor used is: the transistor HEMT AFP02N2-00 of Alpha Industries®. The results show that the modeled amplifier has a gain greater than 20 dB, a noise figure less than 2 dB, input and output reflection coefficients lower than -20 dB and unconditional stability.
Volume: 8
Issue: 5
Page: 3496-3503
Publish at: 2018-10-01

Optimisation towards Latent Dirichlet Allocation: Its Topic Number and Collapsed Gibbs Sampling Inference Process

10.11591/ijece.v8i5.pp3204-3213
Bambang Subeno , Retno Kusumaningrum , Farikhin Farikhin
Latent Dirichlet Allocation (LDA) is a probability model for grouping hidden topics in documents by the number of predefined topics. If conducted incorrectly, determining the amount of K topics will result in limited word correlation with topics. Too large or too small number of K topics causes inaccuracies in grouping topics in the formation of training models. This study aims to determine the optimal number of corpus topics in the LDA method using the maximum likelihood and Minimum Description Length (MDL) approach. The experimental process uses Indonesian news articles with the number of documents at 25, 50, 90, and 600; in each document, the numbers of words are 3898, 7760, 13005, and 4365. The results show that the maximum likelihood and MDL approach result in the same number of optimal topics. The optimal number of topics is influenced by alpha and beta parameters. In addition, the number of documents does not affect the computation times but the number of words does. Computational times for each of those datasets are 2.9721, 6.49637, 13.2967, and 3.7152 seconds. The optimisation model has resulted in many LDA topics as a classification model. This experiment shows that the highest average accuracy is 61% with alpha 0.1 and beta 0.001.
Volume: 8
Issue: 5
Page: 3204-3213
Publish at: 2018-10-01

Acceptance of Health Information System for Public Health Centre in North Borneo, Indonesia

10.11591/ijphs.v7i3.14315
Nurul Irma Kusumawati , Sulistyawati Sulistyawati
This study sought the factor associated with own acceptance of HIS for PHC by using the modification of Technology Acceptance Model (TAM) in the Sebengkok PHC, Central Tarakan Subdistrict, Tarakan City, North Borneo, Indonesia. A cross-sectional approach was conducted through a survey on the 37 of PHC’s user. A set of questionnaires which was adopted from the previous research was used to collect the information from the participant. The model was developed by involving job relevance, output quality, result demonstrability, screen design, terminology, facilitating condition, perceived of usefulness, perceived ease of use, intention to use and system use (actual usage) as the construct. According to the hypothesis testing, perceived usefulness predicted by terminology, perceived ease of use is significantly predicted by screen design and terminology, perceived usefulness significantly predicts the intention of use and perceived ease of use, while system use which predicted considerably by the intention of use and facilitating condition. This study may have a contribution to the future improvement of HIS for PHC and guide the next coming research to dig the difference acceptance among the user. 
Volume: 7
Issue: 3
Page: 168-174
Publish at: 2018-09-24

Estimating Health Care Costs among Fragile and Conflict Affected States: An Elastic Net-Risk Measures Approach

10.11591/ijphs.v7i3.14844
Kevin Wunderlich , Emmanuel Thompson
Fragile and conflict affected states (FCAS) are those in which the government lacks the political will and/or capacity to provide the basic functions necessary for poverty reduction, economic development, and the security of human rights of their populations.Until recent history, unfortunately, the majority of research conducted and universal health care debates have been centered around middle income and emerging economies. As a result, FCAS have been neglected from many global discussions and decisions. Due to this neglect, many FCAS do not have proper vaccinations and antibiotics. Seemingly, well estimated health care costs are a necessary stepping stone in improving the health of citizens among FCAS. Fortunately, developments in statistical learning theory combined with data obtained by the WBG and Transparency International make it possible to accurately model health care cost among FCAS. The data used in this paper consisted of 35 countries and 89 variables. Of these 89 variables, health care expenditure (HCE) was the only response variable. With 88 predictor variables, there was expected to be multicollinearity, which occurs when multiple variables share relatively large absolute correlation. Since multicollinearity is expected and the number of variables is far greater than the number of observations, this paper adopts Zou and Hastie’s method of regularization via elastic net (ENET). In order to accurately estimate the maximum and expected maximum HCE among FCAS, well-known risk measures, such as Value at Risk and Conditional Value at Risk, and related quantities were obtained via Monte Carlo simulations. This paper obtained risk measures at 95 security level.
Volume: 7
Issue: 3
Page: 175-185
Publish at: 2018-09-03
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