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Proceeding of the Electrical Engineering Computer Science and Informatics

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Published by Institute of Advanced Engineering and Science

ISSN : 2407439X EISSN : - DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.

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Articles 101 Documents

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Search results for , issue "Vol 1: EECSI 2014" : 101 Documents clear

Energy-Aware Network-on-Chip Application Mapping Based on Domain Knowledge Genetic Algorithm Yin Zhen Tei; Yuan Wen Hau; N. Shaikh-Husin; Trias Andromeda; M. N. Marsono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

This paper addresses energy-aware application mapping for large-scale Network-on-chip (NoC). The increasing number of intellectual property (IP) cores in multi-processor system-on-chips (MPSoCs) makes NoC application mapping more challenging to find optimum core-to-topology mapping. This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA) to minimize the energy consumption of NoC communication. The GA is initialized with knowledge on network partition whereas the genetic crossover operator is guided with inter-core communication demands. NoC energy estimation is based on analytical energy model and cycle-accurate Noxim simulation. For large-scale NoC, application mapping using knowledge-based genetic operator saves up to 28% energy compared to the one on conventional GA. Adding knowledge-based initial mapping speeds up convergence by 81% and further saves energy by 5% compared to only knowledge-based crossover GA. Furthermore, cycle-accurate simulations of applications with traffic dependency show the effectiveness of the proposed application mapping for large-scale NoC.

A Novel Framework to Select Intelligent Video Streaming Scheme for Learning Software as a Service Irfan Syamsuddin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Cloud computing offers many benefits for government, business and educational institutions as exemplified in many cases. Options to deliver video streaming contents for educational purposes over cloud computing infrastructures are highlighted in this study. In such case, parameters that affect video quality directly or indirectly must be taken into account such as bandwidth, jitter and loss of data. Currently, several intelligent schemes to improve video streaming services have been proposed by researchers through different approaches. This study aims to propose a novel framework to select appropriate intelligent video streaming schemes for efficiently delivering educational video contents for Learning Software as a Service (LSaaS).

An Attempt to Create an Automatic Scoring Tool of Short Text Answer in Bahasa Indonesia Husni Thamrin; Jan Wantoro
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Closed questions offer poor information on student's ability to manage and apply knowledge. On the other hand, open questions have advantages because it may be used to grasp students' conceptual maturity and ability of communication. However, scoring open question answer is not trivial and time-consuming so an automatic scoring tool becomes necessary. An attempt was made to create a scoring tool for open and short text question answer in Bahasa Indonesia that resembles the way school teachers do scoring. Automatic scoring of a student answer was based on the similarity between the answer and predefined key answers. The proposed automatic scoring tool has a form of correlation with human scoring so that the model may be used to predict teacher scoring.

Simulation Study of Item Validity Testing and Item Discrimination Index Adi Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

In psychology or educational research, we often want to test the validity of our instrument. Usually we use the Pearson coefficient of correlation in validity testing. However, the distribution of the data are not always normal distribution so it is also possible to use the Spearman and Kendall coefficient of correlation to test the validity of items. Valid items tend to have a positive and significant coefficient of correlation. It means the item is likely to be answered correctly by people who have a high total score and tend to be answered incorrectly by people who have a low total score. Item discrimination index is an index that measures the ability of item to be able to discriminate students who have high learning outcomes and students who have low learning outcomes. Simulation studies provide a clearer description and show that the item discrimination index has a significant relationship to validity testing that is commonly used in research.

An Incentive Mechanism for Cooperative Data Replication in MANETs - A Game Theoretical Approach Alireza Tajalli; Seyed-Amin Hosseini-Seno; Mohamed Shenify; Rahmat Budiarto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Wireless ad hoc networks have seen a great deal of attention in the past years, especially in cases where no infrastructure is available. The main goal in these networks is to provide good data accessibility for participants. Because of the wireless nodes’ continuous movement, network partitioning occurs very often. In order to subside the negative effects of this partitioning and improve data accessibility and reliability, data is replicated in nodes other than the original owner of data. This duplication costs in terms of nodes’ storage space and energy. Hence, autonomous nodes may behave selfishly in this cooperative process and do not replicate data. This kind of phenomenon is referred to as a strategic situation and is best modeled and analyzed using the game theory concept. In order to address this problem we propose a game theory data replication scheme by using the repeated game concept and prove that it is in the nodes’ best interest to cooperate fully in the replication process if our mechanism is used.

Knowledge Discovery Database (KDD)-Data Mining Application in Transportation Fauziah Abdul Rahman; Mohammad Ishak Desa; Antoni Wibowo; Norhaidah Abu Haris
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very little is known to date about the usefulness of applying data mining in transport related research. From the literature, the frameworks for carrying out knowledge discovery and data mining have been revised over the years to meet the business expectations. In this paper, we apply CRISP-DM for formulating effective tire maintenance strategy within the context of a Malaysian’s logistics company. The results of applying CRISP-DM for tire maintenance decisions are presented and discussed.

Design of Personalized Asthma Management System with Data Mining Methods Cut Fiarni
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Asthma is a chronic lung disease that inflames and narrows the airways. Asthma is a multifactorial chronic illness, there is no uniformity of triggers factors of asthma attack on asthma patients with different degree of asthma severity. The better understanding of the trigger factors could lead a better asthma management for asthma patient. in this paper, we proposed a design of personalized asthma management system. in this system we used pattern sequential mining, clustering and classification to predicting the patient's asthma attack based on extracted rules from data mining. the main methodology is to identify the most important trigger factors based on the clustering and classification rules to be extracted. The contribution to this research area is to analyze the suitable data mining technique and algorithm for the proposed system.

Combining Kansei Engineering and Artificial Neural Network to Assess Worker Capacity in Small-Medium Food Industry Mirwan Ushada; Tsuyoshi Okayama; Atris Suyantohadi; Nafis Khuriyati; Haruhiko Murase
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

This paper highlighted a new method for worker capacity assessment in Indonesian small-medium food industry. The sustainable and productivity of Indonesian food industry should be maintained based on the workers capacity. The status of worker capacity could be categorized as normal, capacity constrained worker and bottleneck. By using Kansei Engineering, worker capacity can be assessed using verbal response of profile of mood states, non-verbal response of heart rate in a given workplace environmental parameters. Fusing various Kansei Engineering parameters of worker capacity requires a robust modeling tool. Artificial Neural Network (ANN) is required to assess worker capacity. The model was demonstrated via a case study of Tempe Industry. The trained ANN model generated satisfied accuracy and minimum error. The research results concluded the possibility to assess worker capacity in Indonesian small-medium food industry by combining Kansei Engineering and ANN.

Design of Consumer Participative Device for Smart Grid Initiative Lukman Rosyidi; Khoirul Umam
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

This paper will discuss about design of consumerparticipative device for smart grid initiative. Indonesia conditionis taken as the case, because smart grid initiative will depend onobject and environment condition. It is found that electricityprovider has difficulties to provide Advance MeteringInfrastructure (AMI), and that will be the area where consumermost probably be able to contribute for smart grid. As consumerdevice, it should be designed to give additional benefits forconsumer at affordable cost. Functionality requirements of thedevice for customer benefits are mapped. A smart meteringdevice is designed and proposed, which has capability to collectdata and report to electricity provider via IP network, withoutinterfering existing provider’s traditional meter. It is based on alow cost microcontroller with GSM/GPRS communicationcapability and optional autoswitch function to alternative sourceof energy. The experiment is done by making the deviceprototype. It shows that customer benefits and cost constraintcan be achieved with proper design of the device, to make feasiblethis consumer participative device concept for smart gridinitiative.

Swarm Robots Communication-base Mobile Ad-Hoc Network (MANET) Bambang Tutuko; Siti Nurmaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

This paper describes the swarm robots communication and control base Mobile ad-hoc network (MANET). MANET is a source of codes which migrate the network, collects and exchanges information of network nodes. In this work, the communication networks, which do not rely on fixed, preinstalled communication devices like base stations or predefine communication cells. Communications standards are considered in this work use the ad-hoc network such as Wireless LAN, X-Bee/Zig-Bee and Internet platform. All standards are integrated on swarm robots for real experiments. For finding the target, Particle swarm optimization (PSO) algorithm is proposed to control the real swarm robots communication in unknown experiment. As a results swarm robots-base MANET use PSO algorithm produce past response to find the target and swarm robots can move in the group without collision.

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