2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)最新文献

Conceptual framework for public policymaking based on system dynamics and big data 基于系统动力学和大数据的公共决策概念框架

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-13 DOI: 10.1109/EECSI.2017.8239192

Feldiansyah Bakri Nasution, Nor Erne Nazira Bazin, Hasanuddin

{"title":"Conceptual framework for public policymaking based on system dynamics and big data","authors":"Feldiansyah Bakri Nasution, Nor Erne Nazira Bazin, Hasanuddin","doi":"10.1109/EECSI.2017.8239192","DOIUrl":"https://doi.org/10.1109/EECSI.2017.8239192","url":null,"abstract":"Public policy is the critical key of the welfare programs. It is also a powerful instrument to achieve a feasible national competitiveness. Unfortunately, many public policy making processes does not utilize an appropriate data and tool in holistic and systematical approach. This research will focus on creating a comprehensive conceptual framework for public policymaking based on data and system approach. In connection with information technology, there are at least two approaches that will be considered for obtaining a more comprehensive public policy. First is utilization of Big Data to extract information. It is believed that if more accurate data are collected and analyzed, then more comprehensive public policy is created. Utilization of data mining will be intensively used to obtain knowledge. Second approach is the system dynamics. The knowledge created in the first approach is useful in modeling the system. The model will be used to simulate the future possibilities of several scenarios. The scenario with the best outcome is selected as an input for public policymaking. At the end of this research, a conceptual framework for public policy making will be created by incorporating Big Data and system dynamics.","PeriodicalId":220109,"journal":{"name":"2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133201960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Performance analysis of network emulator based on the use of resources in virtual laboratory 基于资源利用的虚拟实验室网络仿真器性能分析

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-05 DOI: 10.1109/EECSI.2017.8239075

Yuri Ariyanto, Y. Syaifudin, B. Harijanto

{"title":"Performance analysis of network emulator based on the use of resources in virtual laboratory","authors":"Yuri Ariyanto, Y. Syaifudin, B. Harijanto","doi":"10.1109/EECSI.2017.8239075","DOIUrl":"https://doi.org/10.1109/EECSI.2017.8239075","url":null,"abstract":"A network emulator is a software in its environment mimicking the functions and habits of the original network. Problems often encountered in doing research on computer networks is a problem of design and trial scenarios that require software and hardware enough to implement such a network scenario similar to a real scenario. Using virtual machine technology is expected to solve the problem. Netkit supports experiments with various network technologies and can support other technologies necessary for certain network experiments. This study uses a network emulator with netkit, where it is freely available and built based on Linux User Mode. Netkit allows users to experiment with complex computer network scenarios that can be easily implemented using linux. The experimental research is done by making the design first. The design is used to implement the routing process, to connect 4 different network addresses. On the Netkit implementation of the design, it is implemented by creating a virtual routing lab based on data from computer network topologies. The virtual laboratory implementation of this research routing is based on a network topology scenario. The results of these virtual routing lab experiments, the routing process runs well on the network based on predetermined test scenarios, with the occurrence of connections between different network addresses. In the end the virtual routing lab implementation works well, with performance analysis results from the netkit emulator on the use of computer resources showing Usage CPU usage of 0% and Memory Usage averaging 20942.8k test time for 12 minutes. The results of this trial is very helpful for administrators before the implementation on the real network","PeriodicalId":220109,"journal":{"name":"2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124080433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Revealing daily human activity pattern using process mining approach 利用过程挖掘方法揭示人类日常活动模式

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/eecsi.2017.8239160

M. Ma’arif

引用次数: 12

Analysis of statement branch and loop coverage in software testing with genetic algorithm 用遗传算法分析软件测试中的语句分支和循环覆盖

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239088

Rizal Broer Bahaweres, Khoirunnisya Zawawi, D. Khairani, Nashrul Hakiem

引用次数: 10

IoT smart device for e-leaming content sharing on hybrid cloud environment 用于混合云环境下电子学习内容共享的物联网智能设备

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239078

Mohd Yazid Bin Idris, D. Stiawan, Nik Mohd Habibullah, A. H. Fikri, M. Rahim, Massolehin Dasuki

引用次数: 8

PID designs using DE and PSO algorithms for damping oscillations in a DC motor speed PID设计使用DE和PSO算法阻尼振荡在直流电机的速度

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239138

L. Syafaah, Widianto, I. Pakaya, D. Suhardi, M. Irfan

引用次数: 5

Determining the nutrition of patient based on food packaging product using fuzzy C means algorithm 基于食品包装产品，采用模糊C均值算法确定患者的营养状况

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239151

S. Winiarti, S. Kusumadewi, I. Muhimmah, H. Yuliansyah

引用次数: 8

Implementation of unbiased stereology method for organ volume estimation using image processing 基于图像处理的无偏立体器官体积估计方法的实现

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239093

M. Faiq, Balza Achmad, G. Partadiredja

{"title":"Implementation of unbiased stereology method for organ volume estimation using image processing","authors":"M. Faiq, Balza Achmad, G. Partadiredja","doi":"10.1109/EECSI.2017.8239093","DOIUrl":"https://doi.org/10.1109/EECSI.2017.8239093","url":null,"abstract":"Stereology had been widely used around the globe for estimating the value of the biological structure. It interlinks the connection between the dimensions using a sample that is 2D for a quantification in 3D structure. Volume estimation using stereology method is the most common and basic quantification that shows an example of how stereology works. Stereology method has a drawback when it comes to a lot of samples, so it is common for a researcher to use the computer to help to quantify and to do repetitive work, which is known as computer-assisted stereology quantification. The purpose of this research is to develop software that can assist researchers using stereology method for estimating the volume of a sample object from its 2D digital images with point counting method. The software was built based on the manual procedure of volume estimation using stereology method performed by experienced researchers. The volume estimation using the software were then compared with the results of the manual procedure by the experts on the same samples, i.e., the kidney and trigeminal ganglion of a rat. The experimental results showed that the relative difference of the volume estimations between manual and computer assisted calculations were 0.93% for rat kidney sample and 10.81%. TA1 trigeminal ganglion sample. Based on the results, the software estimation can be used for further analysis.","PeriodicalId":220109,"journal":{"name":"2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123211935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting the early drop of attention using EEG signal 利用脑电图信号检测早期注意力下降

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239175

F. Gunawan, Krisantus Wanandi, B. Soewito, S. Candra, N. Sekishita

{"title":"Detecting the early drop of attention using EEG signal","authors":"F. Gunawan, Krisantus Wanandi, B. Soewito, S. Candra, N. Sekishita","doi":"10.1109/EECSI.2017.8239175","DOIUrl":"https://doi.org/10.1109/EECSI.2017.8239175","url":null,"abstract":"The capability to detect the drop of attention as early as possible has many practical applications including for the development of the early warning system for those who involve in high-risk works that require a constant level of concentration. This study intends to develop such the capability on the basis of the data of the brain waves: delta, theta, alpha, beta, and gamma. For the purpose, a number of participants are asked to participate in the study where their brain waves are recorded by using a low-cost Neurosky Mindwave EEG sensor. In the process, the participants are performing a continuous performance test from which their attention levels are directly measured in the form of the response time in conjunction to those waves. When the response time is much longer than a normal one, the participant attention is assumed to be dropped. A simple k-NN classification method is used with the k = 3. The results are the following. The best detection of the attention drop is achieved when the attention features are extracted from the earliest stage of the brain wave signals. The brain wave signal should be recorded longer than 1 s since the time the stimulus is presented as a short signal leads to a poor categorization. A significant drop in the level of response time is required to provide the brain signal that better predicts the change of the attention.","PeriodicalId":220109,"journal":{"name":"2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"100 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114091198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Evaluation of knowledge management system using technology acceptance model 基于技术接受模型的知识管理系统评价

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI: 10.1109/EECSI.2017.8239158

J. Suroso, A. Retnowardhani, Abraham Fernando

引用次数: 7