2018 6th International Conference on Information and Communication Technology (ICoICT)最新文献_第9页

Throughput Maximization Based on User Association in Heterogeneous Networks 异构网络中基于用户关联的吞吐量最大化

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528793

Khalid Sheikhidris Mohamed, M. Y. Alias, M. Roslee, Mohammed Jaber Alam

引用次数: 6

Enterprise Architecture for the Sensing Enterprise a Research Framework 面向传感企业的企业架构研究框架

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528721

E. Perdana, H. Sastramihardja, I. Suwardi

引用次数: 4

Finding Pattern in Dynamic Network Analysis 动态网络分析中的模式发现

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528779

A. Alamsyah, Made Kevin Bratawisnu, Puput Hari Sanjani

{"title":"Finding Pattern in Dynamic Network Analysis","authors":"A. Alamsyah, Made Kevin Bratawisnu, Puput Hari Sanjani","doi":"10.1109/ICOICT.2018.8528779","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528779","url":null,"abstract":"Internet and social media changes the way human act and make social interaction daily. The accumulated of human social interaction form large scale unstructured data that possibly store timely knowledge. Social Network Analysis (SNA) methodology can be used to perform knowledge extraction from those unstructured data. SNA also provide the way to model user interaction pattern in social media. The majority research regarding user interaction pattern is in the form of static model, but in real-world, the interaction dynamically evolves. Hence, we use Dynamic Network Analysis (DNA) to study network dynamic structure during the observation time. In this research, we present analysis of user interactions evolution on social media, specifically in Twitter. As case study, Indonesia e-commerce and the telecommunication businesses are used for the reason of both are having high dynamic interactions market. User interactions is modeled as networks that are annotated with the time markers. Our finding is there are difference network properties during weekday and weekend, thus provide promotion pattern opportunity. The result allows us to understand the network properties phenomenon over the time, that leads to actionable effort such as when the exact time to do product promotion for business organization.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122419371","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: 11

Analysis of the Technology Acceptance Model (TAM) on Survey System Based Smartphone by the National Population and Family Planning Indonesia 印度尼西亚国家人口和计划生育部门基于智能手机调查系统的技术接受模型分析

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528763

Sukarno Sono, Nl. Meilani, T. Prihyugiarto, Y. Karyanti

{"title":"Analysis of the Technology Acceptance Model (TAM) on Survey System Based Smartphone by the National Population and Family Planning Indonesia","authors":"Sukarno Sono, Nl. Meilani, T. Prihyugiarto, Y. Karyanti","doi":"10.1109/ICOICT.2018.8528763","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528763","url":null,"abstract":"There is a change in the technique or method of collecting and processing data on the Performance Monitoring Accountability (PMA) 2020 Survey by the National Population and Family Planning Indonesia, from a paper-based system to electronic-based which paperless system, one of the tools called Open Data Kit. This study was therefore aimed at identifying the users' perception and attitude towards the application of the new technology in this survey in Indonesia. One of the methods to determine the extent to which the users' acceptance of the application of a new technology is to use the Technology Acceptance Model. Data analysis was performed using the Structural equation Modelling with Analysis of Moment Structure software. The analysis results prove that out of six hypotheses, only one hypothesis is rejected. The results suggest that the application of a new technology system is acceptable and has no resistance from the supervisors and enumerators as the of smartphone-based surveys users. In conclusion, this technology is possible to apply in other surveys in Indonesia.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123141202","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

Computational Analysis on Rise and Fall of Indonesian Vocabulary During a Period of Time 一段时间内印尼语词汇兴衰的计算分析

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528812

F. Rahutomo, R. A. Asmara, Deddy Kusbianto Purwoko Aji

引用次数: 3

Automatic Tweet Classification Based on News Category in Indonesian Language 基于印尼语新闻分类的推文自动分类

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528788

Jaka E. Sembodo, E. B. Setiawan, M. Bijaksana

{"title":"Automatic Tweet Classification Based on News Category in Indonesian Language","authors":"Jaka E. Sembodo, E. B. Setiawan, M. Bijaksana","doi":"10.1109/ICOICT.2018.8528788","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528788","url":null,"abstract":"Tweet is being informative as well as news articles, so that the automatic tweet classifier based on news category could be useful to make ease in searching tweet based on certain interesting category. We identified those are 11 categories: religion, business, entertainment, law and crime, health, motivation, sport, government, education, politics and technology. In the learning process, we use ZeroR, Naive Bayes Multinomial (NBM), Support Vector Machine (SVM), Random Forest (RF) and Sequential Minimal Optimization (SMO) algorithm based on previous work that has similar topic with this paper. In experiments, we experiment classifier using all tweet and various maximum number of tweets and terms in each category. In evaluating performance system, we used 10-fold cross validation and use accuracy (correctly classified instances) as performance paramater. In the experiments result, NBM performs the highest performance with 77,47% accuracy with maximum number of tweets and terms in every category is 500 tweets and 1000 terms. At the last, we built automatic tweet classifier with NBM due to this classifier and experiment result perform the best performances using web-based programming.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157899","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

Toward Full Enterprise Software Support on nDPI 面向nDPI的全面企业软件支持

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528792

Gregorius Aldo Radityatama, Charles Lim, Heru Purnomo Ipung

{"title":"Toward Full Enterprise Software Support on nDPI","authors":"Gregorius Aldo Radityatama, Charles Lim, Heru Purnomo Ipung","doi":"10.1109/ICOICT.2018.8528792","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528792","url":null,"abstract":"Next Generation Firewall (NGFW) adds new capabilities of a standard firewall with an ability to inspect packets' contents, thus increasing precision. Three main usages of NGFW are to improve the Quality of Service (QoS) of a business, as an application-based filtering firewall, and to protect the network from known security threats. A complete NGFW system has three main components: Deep Packet Inspection (DPI), Intrusion Prevention System (IPS), and an extra-firewall intelligence mechanism. One example of open-source DPI implementations is called nDPI. As the number of enterprise applications (used in the commercial organizations) continues to rise, nDPI is also lagging in terms of coverage for enterprise software support. The aim of this research is to design and implement better enterprise-grade software support protocols on nDPI. Five common enterprise applications were chosen and implemented. The experiment results were then compared with the commercial implementation of NGFW in terms of overall precision and performance of nDPI. The results show that the accuracy of nDPI the new protocols implemented reaches more than 90% with a small (less than 3,5%) increase of CPU execution time and very small (less than 1%) increase of peak heap memory usage.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742964","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

Fast UART and SPI Protocol for Scalable IoT Platform 用于可扩展物联网平台的快速UART和SPI协议

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528745

Rizka Reza Pahlevi, Aji Gautama Putrada S, M. Abdurohman

引用次数: 2

Artificial Neural Network for Predicting Indonesia Stock Exchange Composite Using Macroeconomic Variables 利用宏观经济变量预测印尼证券交易所综合指数的人工神经网络

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528774

A. Alamsyah, Asri Nurfathi Zahir

{"title":"Artificial Neural Network for Predicting Indonesia Stock Exchange Composite Using Macroeconomic Variables","authors":"A. Alamsyah, Asri Nurfathi Zahir","doi":"10.1109/ICOICT.2018.8528774","DOIUrl":"https://doi.org/10.1109/ICOICT.2018.8528774","url":null,"abstract":"Stock is a high risk and high return investment. The risk-comparison scale for both losses and profits are not much different. The lure of profits temptations can be given by playing shares, sometimes make people less cautious and eventually fail to invest in stocks. To make right and profitable investment decisions, investors need to face uncertainty and fluctuating stock price movements. These phenomena cause investors to predict stock price movements for minimizing risks. The purpose of this study is to predict the Indonesian composite stock price index by using macroeconomic variables as a reflection of economic condition and as a good signal to forecast stock prices. This research is using Inflation, Interest Rates, and Exchange Rates as the macroeconomic variables. This study uses secondary data from Bank Indonesia and Indonesian Statistics Center from December 2005 to November 2017. The prediction uses Artificial Neural Network (ANN) Backpropagation method. The results gained the accuracy of 96,38% and mean-squared error of 0.0046 with the best time delay of 2 months before the predicted month. Based on the accuracy level and the error, macroeconomic variables (exchange rate, interest rate, inflation rate, and money supply M2) are the proper indicator to predict IDX Composite movement.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115520345","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: 10

TCP Congestion Window Analysis of Twitter with Exponential Model 基于指数模型的Twitter TCP拥塞窗口分析

2018 6th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2018-05-01 DOI: 10.1109/ICOICT.2018.8528797

H. Nuha, Sidik Prabowo

引用次数: 4