2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)最新文献_第8页

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872745

Dinna Amelina, A. Hidayanto, N. Budi, P. Sandhyaduhita, R. Shihab

{"title":"Investigating critical factors of social CRM adoption using technology, organization, and environment (TOE) framework and analytical hierarchy process (AHP)","authors":"Dinna Amelina, A. Hidayanto, N. Budi, P. Sandhyaduhita, R. Shihab","doi":"10.1109/ICACSIS.2016.7872745","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872745","url":null,"abstract":"Over the past three years, we have tracked the rising adoption of Web 2.0 technologies, both for individual and organizational. Enterprises believe Web 2.0 will provide new ways for interacting with their consumers, which is more convenient, easier, and cheaper. Social CRM becomes new concept and strategy for enterprises in utilizing Web 2.0 technologies to interact with and listen to their customers through social media. Although Social CRM offers more benefits, it might have side impact for the enterprises. Thus, the adoption of Social CRM still needs profound evaluation in order to minimize the adverse impact. This study aims to investigate critical factors of Social CRM adoption using TOE (technology, organization, and environment) framework and AHP technique. The case studies were carried out into two companies. The result shows critical factors of CRM adoption for Company 1 come from external factors; they are prioritizing customer, trustworthy information, and customer characteristics. Meanwhile, critical factors of CRM adoption for Company 2 come from internal factors; they are savvy employee, top management support, and customer-oriented business strategy.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412951","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: 12

Factors analysis of IPv6 user acceptance against security aspects based on concept of technology acceptance model (TAM) and technology threat avoidance theory (TTAT) 基于技术接受模型(TAM)和技术威胁规避理论(TTAT)的IPv6用户接受度安全因素分析

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872750

Dion Kristadi, Y. G. Sucahyo

{"title":"Factors analysis of IPv6 user acceptance against security aspects based on concept of technology acceptance model (TAM) and technology threat avoidance theory (TTAT)","authors":"Dion Kristadi, Y. G. Sucahyo","doi":"10.1109/ICACSIS.2016.7872750","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872750","url":null,"abstract":"The evolution of IPv6 technology had become a worldwide trend and showed a significant increase, particularly with the near-coming era named “Internet of Things” or so-called IOT. Concomitant with the transition process from version 4 to version 6, there are open security hole that considered to be vulnerable, mainly against cyber-attacks that poses a threat to companies implements IPv6 network topology. The purpose of this research is to create a model of acceptance of the factors that influenced the behavior of individuals in providing security within IPv6 network topology and analysis of factors that affects the acceptance of individuals in anticipating security with regards to IPv6 network topology. This study was conducted using both, quantitative method focuses on statistical processing on the result of questionnaire filled by respondents using Structural Equation Modeling (SEM), as well as qualitative method to conduct Focus Group Discussion (FGD) and interviews with experts from various background such as: practitioners, academician and government representatives. The results showed ease of use provides insignificant correlation to the referred behavior of avoiding threat on IPv6 environment.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131848049","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: 3

Structured support vector machine learning of conditional random fields 条件随机场的结构化支持向量机器学习

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872799

R. Rangkuti, Aprinaldi Jasa Mantau, Vektor Dewanto, Novian Habibie, W. Jatmiko

引用次数: 3

Multiple regularizations deep learning for paddy growth stages classification from LANDSAT-8 基于LANDSAT-8的多正则化深度学习水稻生长阶段分类

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872790

Ines Heidieni Ikasari, Vina Ayumi, M. I. Fanany, S. Mulyono

{"title":"Multiple regularizations deep learning for paddy growth stages classification from LANDSAT-8","authors":"Ines Heidieni Ikasari, Vina Ayumi, M. I. Fanany, S. Mulyono","doi":"10.1109/ICACSIS.2016.7872790","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872790","url":null,"abstract":"This study uses remote sensing technology that can provide information about the condition of the earth's surface area, fast, and spatially. The study area was in Karawang District, lying in the Northern part of West Java-Indonesia. We address a paddy growth stages classification using LANDSAT 8 image data obtained from multi-sensor remote sensing image taken in October 2015 to August 2016. This study pursues a fast and accurate classification of paddy growth stages by employing multiple regularizations learning on some deep learning methods such as DNN (Deep Neural Networks) and 1-D CNN (1-D Convolutional Neural Networks). The used regularizations are Fast Dropout, Dropout, and Batch Normalization. To evaluate the effectiveness, we also compared our method with other machine learning methods such as (Logistic Regression, SVM, Random Forest, and XGBoost). The data used are seven bands of LANDSAT-8 spectral data samples that correspond to paddy growth stages data obtained from i-Sky (eye in the sky) Innovation system. The growth stages are determined based on paddy crop phenology profile from time series of LANDSAT-8 images. The classification results show that MLP using multiple regularization Dropout and Batch Normalization achieves the highest accuracy for this dataset.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123898849","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: 21

Automatic detection of learning styles in learning management system by using literature-based method and support vector machine 基于文献法和支持向量机的学习管理系统学习风格自动检测

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872770

Elfa Silfiana Amir, Malikus Sumadyo, D. I. Sensuse, Y. G. Sucahyo, H. Santoso

引用次数: 14

Automatic Tungsten Inert Gas (TIG) welding using machine vision and neural network on material SS304 采用机器视觉和神经网络对SS304材料进行自动钨惰性气体(TIG)焊接

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872739

A. Baskoro, Randy Tandian, Haikal, Andreas Edyanto, A. S. Saragih

{"title":"Automatic Tungsten Inert Gas (TIG) welding using machine vision and neural network on material SS304","authors":"A. Baskoro, Randy Tandian, Haikal, Andreas Edyanto, A. S. Saragih","doi":"10.1109/ICACSIS.2016.7872739","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872739","url":null,"abstract":"Welding is a process of joining two or more substances that are based on the principles of diffusion processes, resulting in unification on the materials to be joined. The strength of the weld joint is determined by several parameters, including the weld bead width and the penetration. The width of the weld bead especially the upper part can be determined by looking directly through the CCD (Charge-Coupled Device) camera. But it is difficult to observe the back bead width directly since in practice it is impossible to install the CCD camera at the bottom of specimen. In this paper, Tungsten Inert Gas (TIG) Welding with the welding speed is controlled by the microcontroller for the purpose of adjusting the back bead width has observed. The back bead width is estimated based on data of weld bead width obtained from machine vision, welding speed, and currents that used in this experimental. It's used to obtain a series of data which would have conducted as initial experiments to train and build the neural network system. Results showed that the back bead width is 3 mm on the current 55 A, 60 A, and 65 A have an average error of each current of 0.11 mm, 0.09 mm, and 0.12 mm.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186455","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

A corpus-based lexicon building in Indonesian political context through Indonesian online news media 基于语料库的印尼在线新闻媒体政治语境下的词汇构建

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872794

Md. Azza F. Yatim, Yulistiyan Wardhana, A. Kamal, Anandra A. R. Soroinda, F. Rachim, M. I. Wonggo

{"title":"A corpus-based lexicon building in Indonesian political context through Indonesian online news media","authors":"Md. Azza F. Yatim, Yulistiyan Wardhana, A. Kamal, Anandra A. R. Soroinda, F. Rachim, M. I. Wonggo","doi":"10.1109/ICACSIS.2016.7872794","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872794","url":null,"abstract":"Considering public opinion has always been a necessity for most people including governments and politicians. This information provides more direct means in determining public views which important for their decision-making process. With technology and the Internet nowadays, people are able to assess public opinion by using opinion mining or sentiment analysis. There are several known methods for this technology, for instance is lexicon-based method which is inherited from sentiment classification approach. This method uses lexicon in determining sentiment of particular object within related data sets. This paper solely concentrates on building the lexicon for the method. By focusing on Indonesian politic, we create a corpus-based approach to build a contextual lexicon which uses news articles as corpora. We determine the initial seed words and have it validated by domain experts for our experiment Based on the tests that we have done, we find that 51.79 per cent of the terms in our lexicon are relevant to our research domain. We use this finding to evaluate and improve our method as we continue the research to obtain more relevant result.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114444938","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: 9

Prediction the number of blastomere in time-lapse embryo using Conditional Random Field (CRF) method based on Bag of Visual Words (BoVW) 基于视觉词袋(BoVW)的条件随机场(CRF)法预测延时胚胎卵裂球数量

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872751

D. M. S. Arsa, Aprinaldi, Ilham Kusuma, A. Bowolaksono, P. Mursanto, B. Wiweko, W. Jatmiko

{"title":"Prediction the number of blastomere in time-lapse embryo using Conditional Random Field (CRF) method based on Bag of Visual Words (BoVW)","authors":"D. M. S. Arsa, Aprinaldi, Ilham Kusuma, A. Bowolaksono, P. Mursanto, B. Wiweko, W. Jatmiko","doi":"10.1109/ICACSIS.2016.7872751","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872751","url":null,"abstract":"In vitro fertilization technology is used to help couples get children. During the development of IVF, embryological will observe the process of cleavage embryo until it is determined which gives the highest probability to produce a pregnancy. During this division process, the observation is done manually by embryological which produce subjective assessment of an embryo and vulnerable reduced quality embryos. Embryo quality is reduced due to the observation carried out outside a developed embryo. In addition to the number of embryos that increasingly divide and have a morphology that are difficult to observe, these judgements are prone to error than the embryological own. This research proposed a method to predict the number of blastameres of the embryo time-lapse using Conditional Random Field (CRF) based on Bag of Visual Words (BoVW). BoVW approach is used to represent data with the purpose of solving the problem of subjectivity embryological votes. The data used for the experiment is the data of the human embryo from the hospital Cipto Mangun Kusumo (RSCM) and data from mouse embryos. Data embryos RSCM has more variations than data in mouse embryo. Based on the experimental results, the use of BoVW able to overcome the problem of subjectivity embryological votes with an accuracy of¿ 80%. Besides the experimental results with the proposed method uses data embryos RSCM which difficulty level is higher than the data from moose embryos, they were able to identify with both the average accuracy of 96.79%.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124629229","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: 2

Using relation similarity on open information extraction-based event template extraction 基于关系相似度的开放信息提取事件模板提取

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872791

A. Romadhony, D. H. Widyantoro, A. Purwarianti

引用次数: 4

Automatic model translation to UML from software product lines model using UML profile 使用UML概要文件将软件产品线模型自动转换为UML

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872758

R. Muhammad, M. R. Setyautami

{"title":"Automatic model translation to UML from software product lines model using UML profile","authors":"R. Muhammad, M. R. Setyautami","doi":"10.1109/ICACSIS.2016.7872758","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872758","url":null,"abstract":"Software Product Lines (SPL) enable a software to have various products in single development. The products possess commonality and variability that should be defined in the problem domain. Abstract Behavioral Specification (ABS) is one of executable modeling language that supports SPL by implementing Delta Oriented Programming (DOP). In DOP, features that is related with the variability will be implemented in the delta modules (deltas). Deltas will modify a basic product to create (new) various products. Thus the various features and products will be managed well in delta modeling. On the other hand, there is Unified Modeling Language (UML), a standard and popular modeling language. UML is not designed to model SPL, but UML has a mechanism to extend their syntax and semantics by defining UML Profile. In this paper, we aim to bridge UML and SPL automatically by having an automatic traslation program. The program will produce UML model based on ABS model, that supports SPL, by using UML-DOP Profile. Besides connecting UML and SPL, the program can also help the developer to achieve coherency between design and implementation. As the results, the UML models produced by automatic translator are represented by XML Metadata Interchange (XMI) documents.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122171633","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: 2