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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 14, No 3: June 2019" : 64 Documents clear
Youtube spam detection framework using naïve bayes and logistic regression Nur’Ain Maulat Samsudin; Cik Feresa binti Mohd Foozy; Nabilah Alias; Palaniappan Shamala; Nur Fadzilah Othman; Wan Isni Sofiah Wan Din
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1508-1517

Abstract

YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link. Spam has its own features that can be analyzed and detected by classification. Hence, enhancement features are proposed to detect YouTube spam. In order to conduct the experiments, a YouTube Spam detection framework that consists of five (5) phases such as data collection, pre-processing, features selection and extraction, classification and detection were developed. This paper, proposed the YouTube detection framework, examined and validate each of the phases by using two types of data mining tool. The features are constructed from analysis by using data collected from YouTube Spam dataset by using Naïve Bayes and Logistic Regression and tested in two different data mining tools which is Weka and Rapid Miner. From the analysis, thirteen (13) features that had been tested on Weka and RapidMiner shows high accuracy, hence is being used throughout the experiment in this research. Result of Naïve Bayes and Logistic Regression run in Weka is slightly higher than RapidMiner. In addition, result of Naïve Bayes is higher than Logistic Regression with 87.21% and 85.29% respectively in Weka. While in RapidMiner there is slightly different of accuracy between Naïve Bayes and Logistic Regression 80.41% and 80.88%. But, precision of Naïve Bayes is higher than Logistic Regression.
Tunable function of feeding network and SPDT switch for WIMAX application N. Edward; N. A. Shairi; Z. Zakaria; Tole Sutikno; I. D. Saiful Bahri
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1574-1580

Abstract

A tunable circuit that functions as a power divider and a single pole double throw (SPDT) switch is proposed in this paper. The power divider design was based on the conventional Wilkinson power divider (WPD). Since WPD design has wideband properties, a modification was made in the design to make it narrowband so that it will only work for WiMAX applications. Two shorted stubs were introduced in the transmission line of the output ports to encounter the mismatch when the function was switched to an SPDT switch. Rogers RO4350 (er = 3.48, h = 0.508mm) was used as a substrate material and copper (thickness = 0.035 mm) related to patch of this proposed design. When the circuit functioned as a power divider, the simulated result showed S11 < -16 dB, S12 > 3.97 dB, and S23 < -14 dB for both operating frequencies of 2.5 GHz and 3.5 GHz. On the other hand, when the circuit functioned as an SPDT switch and port 2 was in the ON state, the simulated result showed S11 < -35 dB, S12 > -1.1, S13 < -16 dB, and S23 < 18 dB for both operating frequencies of 2.5 and 3.5 GHz. The proposed design showed a good performance as a power divider and an SPDT switch, thus, it can be used for multifunctional microwave circuits.
Time frequency analysis of ultrasound doppler signal by s-transform and wigner-ville distribution Mahieddine Latfaoui; Fethi Bereksi Reguig
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1220-1227

Abstract

Ultrasound Doppler signal processing is a necessity in several disciplines of medicine. The interpretation of these signals allows a good diagnosis of patients in order to detect certain diseases. In this work, we will use different non-parametric time-frequency techniques such as the Wigner-Ville distribution (WVD), the Pseudo-Wigner-Ville distribution (PWVD), the smoothed pseudo Wigner-Ville distribution (SPWVD), and the S-transform in order to analyze the Ultrasonic Doppler signal of the femoral arteries.
Toward semantic similarity measure between concepts in an ontology Suwan Tongphu; Boontawee Suntisrivaraporn; Pakinee Aimmanee
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1356-1372

Abstract

A similarity measure is one classical problem in Description Logic which aims at identifying the similarity between concepts in an ontology. Finding a hierarchy distance among concepts in an ontology is one popular technique. However, one major drawback of such a technique is that it usually ignores a concept definition analysis. This work introduces a new method for similarity measure. The proposed system semantically analyzes structures of two concept descriptions and then computes the similarity score based on the number of shared features. The efficiency of the proposed algorithm is measured by means of the satisfaction of desirable properties and intensive experiments on the Snomed ct ontology.
By two: A two-dimensional mobile game model for novice developers Abdallah Qusef; Abdallah Ayasreh; Adnan Shaout; Muhanna Muhanna
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1336-1344

Abstract

The objective of this research was to discuss the processes and challenges encountered in the creation of mobile games for both Android and iOS platforms, which would help the novice game developers to enter the big world of mobile game industry. We highlighted each phase of the mobile game development. These involved suggestions on efficient brainstorming of ideas, proper selection of game engine, game design, number and type of pages, creation of levels, and distribution of complexity across the game level. In addition, other factors were considered such as the creation of User Interface and User Experience (UI/UX) as well as definition of the screen object’s sizes and positions that would be suitable in all mobile devices. The importance of agile cycles of alpha and beta testing was also discussed, particularly its influence on the enhancement of game features. However, a successful game is recognized based on its earnings. Hence, a guide on how to properly market the game was also included. A model game called “By Two” was used in this study to illustrate and explain the steps in detail.
Performance evaluation of proposed load balancing algorithm with unstable concurrent programs Chanintorn Jittawiriyanukoon
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1452-1459

Abstract

IoT is the succeeding cohort of the digital computing environment. A swift progression in the IoT deployment and its applications are on the rise. Improving load balancing mechanisms induces healthier performance of the internet based computing as higher number of users can be comfortable. Implementing full services for tasks with unstable concurrency is an uphill process. One of the encounters allied with this administration is the task partition among the applications, regularly referred as concurrent programs. Through load balancing not only resources are equally utilized but also concurrent job’s response time can be promoted. Therefore, in this paper the widely used load balancing algorithms are investigated and yet the proposed algorithm is introduced. Simulation is employed in order to compare the performance metrics such as mean queue length, utilization and throughput between the recommended and existing algorithms. The proposed algorithm confirms the load balancing and outperforms when processing unstable concurrent programs.
Rakebot: a robotic rake for mixing paddy in sun drying Ertie Cusipag Abana; Meljiflor Pacion; Roxanne Sordilla; Daniel Montaner; Dennis Agpaoa; Rryma Mae Allam
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1165-1170

Abstract

Sun drying is a conventional drying method of paddy commonly used in Asia. During the process, grains are mixed and turned continuously using a rake to maintain good quality. For this reason, a robotic rake or Rakebot was developed in this study to properly mix the grains during sun drying. Rakebot is manually controlled using a mobile application through Bluetooth connection but can also move automatically using the previous movements that were recorded on the first used. It was developed using a microcontroller that gives directions to the motors based on the received instructions from the mobile application. The recorded movements are saved in a memory card by means of a memory card module connected to the microcontroller. The objective measures showed that the Rakebot ensures simultaneous reduction of the moisture content of paddy. Also, the rake design of the robot prevents fissuring of grains.
AACO technique for solving multiobjectives in electrical distribution system P. Ravi Babu; Srivani Molughu
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1076-1086

Abstract

The multi objectives in electrical distribution system are service restoration and minimization of Ohmic losses. These objectives can be achieved by artificial ant colony optimization through reconfiguration. Service restoration is also a major aspect for reliable service. If any fault occurs in the system, faulted zone is isolated from healthy system. This originates discontinuity in power supply. To maintain the continuity in power supply there is a necessity to provide service to these loads from adjacent healthy feeders through reconfiguration without infringement of radiality, load balance and critical parameters. In distribution system Ohmic losses are 30 to 40 percent. In order to minimize these losses, there is a need for reconfiguration of the system and perform the power flow analysis to get bus voltages, branch currents and power losses (i.e. real or Ohmic or copper loss and reactive power loss). A direct load flow analysis is adopted in the proposed work. In this paper four feeder test system used for service restoration and IEEE 33 bus, IEEE 69 bus test systems for minimization of Ohmic losses have been obtained.
A chaotic based integrity verification and encryption model for real-time VANET Kareemulla Shaik; Dr. Md. Ali Hussain
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1425-1432

Abstract

Integrity and data privacy are the main security parameters between the vehicle and roadside unit (RSU) over large VANETs.  The integrity of the vehicle is used to check its identity against the neighboring nodes, whereas data privacy ensures that the data of a vehicle has not been altered during the communication process. VANETs provide vehicles to give information about the security parameters and identity to vehicle to infrastructure communication and vehicle to vehicle communication. Most of the traditional VANETs are vulnerable to data security, integrity and authentication due to change in dynamic topology. Also, Traditional security models require limited data size for data security between the V2V or V2I. In this paper, an integrity verification model and non-linear double encryption model were proposed and implemented on large geographical VANET map. The main objective of the proposed model is to improve the security of the V2V communication in large VANETs. Experimental results proved that the proposed security model has less computation cost for encryption model and higher bit change during integrity verification compared to the existing approaches.
Rain prediction using fuzzy rule based system in North-West malaysia Noor Zuraidin Mohd Safar; Azizul Azhar Ramli; Hirulnizam Mahdin; David Ndzi; Ku Muhammad Naim Ku Khalif
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1564-1573

Abstract

The warm and humid condition is the characteristic of Malaysia tropical climate. Prediction of rain occurrences is important for the daily operations and decisions for the country that rely on agriculture needs. However predicting rainfall is a complex problem because it is effected by the dynamic nature of the tropical weather parameters of atmospheric pressure, temperature, humidity, dew point and wind speed. Those parameters have been used in this study. The rainfall prediction are compared and analyzed.   Fuzzy Logic and Fuzzy Inference System can deal with ambiguity that often occurred in meteorological prediction; it can easily incorporate with expert knowledge and empirical study into standard mathematical. This paper will determine the dependability of Fuzzy Logic approach in rainfall prediction within the given approximation of rainfall rate, exploring the use of Fuzzy Logic and to develop the fuzzified model for rainfall prediction. The accuracy of the proposed Fuzzy Inference System model yields 72%

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