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Bulletin of Electrical Engineering and Informatics

EEI
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Published by Universitas Ahmad Dahlan

ISSN : - EISSN : - DOI : -

Core Subject : Engineering,

Electrical & Electronics Engineering

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.

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Articles 2,901 Documents

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Vehicle-2-Vehicle Communication Based on Wireless Sensor Network S. Sinthuja; S. V. Saravanan
Bulletin of Electrical Engineering and Informatics Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

Truck Platooning is a car innovation that permits gathering various trucks into a single element where one truck intently takes after the other that outcomes in an expanded street limit. This kind of detachment allows to a significant degree tight separations and synchronous driving between the vehicles. Our point is to plan and exhibit a self-ruling truck platooning framework given vehicle-to-vehicle (V2V) correspondence innovation. The structure utilises IEEE 802.15.4 remote convention joined with separation going sensors to enable vehicles inside the company to safely trade data progressively and naturally break and quicken in light of the lead truck. The rapid of remote correspondence permits to a significant degree tight separations and synchronous driving between the platooning vehicles.

Wireless Network For Strategic Boundary Supervision System Anu Priya; Sasilatha T.
Bulletin of Electrical Engineering and Informatics Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

The major trouble with national security is "Terrorism" happening in borders. In border areas, regular forces or even satellites cannot monitor accurately intruding. The wireless sensor network scheme gives a possible way to explain this issue. To outline a wireless remote system of estimated sensor motes that contains various installed sensors and a processor to detect and impart an adversary interruption crosswise over a border and war zones. The idea is to distribute many smartdust motes inside an enormous geological region. Every one of these motes shapes a remote system, and one of them will go about as the system organiser that can control the whole system and furthermore goes about as a passage to the outside world. The preferred standpoint with these little motes is that it can be conveyed in a couple of hours by a pair of men or even dropped from an airborne helicopter. Every mote comprises of an assortment of sensors to distinguish every single potential type of interruption.

Quantitative Evaluation for PMPIv6 Multicast Fast Reroute Operations Aisha-Hassan A. Hashim; Azana Hafizah Mohd Aman; Huda Adibah Mohd Ramli
Bulletin of Electrical Engineering and Informatics Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

This paper evaluates Proxy Mobile Internet Protocol Version 6 (PMIPv6) multicast fast reroute operations using quantitative analysis. The motivation is to cater the fast growth of mobile data traffic consumption and its networking technologies. Hence it is significance to enhancing the present techniques. Multicast enabled PMIPv6 is a mobile multicast networking management protocol that is highly acceptable in handling mobile data traffic. This paper briefly highlights the methodology, architecture and processes involved to produce the quatitative equations for each parameter. The quantitative parameters discussed are packet loss cost and handover latency.

Respiration Monitoring System of Lung Phantom Using Magnetic Sensor Imamul Muttakin; David Abraham; Rocky Alfanz; Rohmadi Rohmadi
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Monitoring vital signs is substantial in healthcare to assist both diagnosis and treatment. This work proposes a means of telemonitoring system at initial stage to observe respiratory pattern on lung phantom. Magnetic sensor module LDC1000 is used to read inductance value of conductive material in relation to distance variation. Therefore, respiration pattern can be observed. In continuous mode, the inspiration inductance value is 8 uH, while expiration is 17 uH, with stoppage is 17 uH. For static measurement, the inspiration inductance value is 7.80 uH, while expiration is 16.46 uH and stoppage is 16.46 uH. Those values could be further referred for vital signs telemonitoring system design based on contactless and portable devices.

Business Process Improvement of Production Systems Using Coloured Petri Nets Imam Mukhlash; Widya Nilam Rumana; Dieky Adzkiya; Riyanarto Sarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

Enhancing Big Data Analysis by using Map-reduce Technique Alaa Hussein Al-Hamami; Ali Adel Flayyih
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Database is defined as a set of data that is organized and distributed in a manner that permits the user to access the data being stored in an easy and more convenient manner. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work enhances the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on Electroencephalogram (EEG) Big-data as a case study. The proposed approach showed clear enhancement on managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data.

A Modified Overlapping Partitioning Clustering Algorithm for Categorical Data Clustering Mohammad Alaqtash; Moayad A.Fadhil; Ali F. Al-Azzawi
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Clustering is one of the important approaches for Clustering enables the grouping of unlabeled data by partitioning data into clusters with similar patterns. Over the past decades, many clustering algorithms have been developed for various clustering problems. An overlapping partitioning clustering (OPC) algorithm can only handle numerical data. Hence, novel clustering algorithms have been studied extensively to overcome this issue. By increasing the number of objects belonging to one cluster and distance between cluster centers, the study aimed to cluster the textual data type without losing the main functions. The proposed study herein included over twenty newsgroup dataset, which consisted of approximately 20000 textual documents. By introducing some modifications to the traditional algorithm, an acceptable level of homogeneity and completeness of clusters were generated. Modifications were performed on the pre-processing phase and data representation, along with the number methods which influence the primary function of the algorithm. Subsequently, the results were evaluated and compared with the k-means algorithm of the training and test datasets. The results indicated that the modified algorithm could successfully handle the categorical data and produce satisfactory clusters.

Test First Model for Application in the Academic Setting Normi Sham Awang Abu Bakar; Norzariyah Yahya
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

This research elaborates the selection of the Test First and Test Last model for a pilot experiment that was executed as a feasibility study to validate the suitability of the existing Test First model for its implementation in the series of actual experiment. The series of actual experiment is designed to investigate the quality of the project developed by the students in higher educational institution with the Test First over Test Last model. The findings gathered from the pilot experiment demonstrate that there were misunderstandings on the user stories among the participants that have led to the development of an enhanced Test First model.

Conceptualizing Information Technology Governance Model for Higher Education: An Absorptive Capacity Approach Binyamin Adeniyi Ajayi; Husnayati Hussin
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Information Technology (IT) governance has been emerging as a central issue in many organizations. This is because IT governance is key to realizing IT business value. Past studies have focused on the three aspects of IT governance, namely, structural capability, process capability and relational capability. At the same time, some studies have suggested that IT governance process should be viewed as a learning process rather than a problem solving process. Based on this scenario, the role of knowledge and knowledge based processes should be the central focus of IT governance. As a learning process, IT governance effectiveness can be determined by how much impact IT governance practices has influenced on decision-makers’ thinking and actions. In this case, knowledge capacity absorbed from IT governance experience reflects a certain level of organizational learning (OL) achieved which later influences the level of IT governance performance. Since studies that adopt this perspective is lacking, this paper proposes a conceptual framework based on absorptive capacity approach for an IT governance performance model in the higher education. The paper contributes theoretically by extending the knowledge of IT governance by exploring a new perspective on OL.

Antecedents of Knowledge Management Practices: Case of Malaysian Practitioners Mohamed Jalaldeen Mohamed Razi; Mohd Izzuddin Mohd Tamrin; Abdul Rahman Ahmad Dahlan; Noor Azian Mohamad Ali
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

In this paper, we investigated the knowledge management (KM) behavior of executives in Malaysia who work in different sectors and involved in Information Technology (IT) related fields. We proposed a conceptual framework based on the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB) and Unified Theory of Acceptance and Use of Technology (UTAUT) to study their intention and involvement in KM initiatives. The knowledge creation theory (SECI process) was employed to operationalize KM intention and KM behavior. We proposed six independent variables that represent the social-cultural nature of KM as the antecedence of KM intention. These variables are trust, management support, decentralization, IT support, performance expectancy (PE), and effort expectancy (EE). Seventy-four executives from both private and government-linked organizations responded to our online questionnaire. SmartPLS3 was used to run the analysis. The reliability was ensured with the factor loadings, Cronbach’s alpha, Composite Reliability (CR) that met the fit requirement of above 0.6, 0.7 and 0.7 respectively. The convergent validity was confirmed through average variance extracted (AVE) that met the fit requirement of above 0.5. The discriminant validity was assessed by using Fornell and Larcker’s criterion. Finally, the structural model confirmed that only PE of KM, and EE of KM are the significant predictors of KM intention and the KM intention significantly predicts KM behavior. The implications of the findings are discussed in detail at the end of the paper.

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