2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)最新文献_第7页

Malicious Account Detection on Indonesian Twitter Account 印尼Twitter账户的恶意账户检测

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274682

Latifah Alhaura, I. Budi

引用次数: 2

Analysis of Homophily, Emotional Attachment, and Expertise towards Vloggers’ Popularity and Viewers Purchasing Decisions in Beauty Products Industry 美容产品行业视频博主人气与观众购买决策的同质性、情感依恋和专业度分析

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274675

Adela Khairunnisa Nugraha, A. Agus

{"title":"Analysis of Homophily, Emotional Attachment, and Expertise towards Vloggers’ Popularity and Viewers Purchasing Decisions in Beauty Products Industry","authors":"Adela Khairunnisa Nugraha, A. Agus","doi":"10.1109/IC2IE50715.2020.9274675","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274675","url":null,"abstract":"This study examines the influence of homophily, expertise, and emotional attachment to the popularity of vloggers and ultimately examines the effect of emotional attachment, vlogger popularity, and expertise on the purchase intention of recommended beauty products by focusing on beauty vlogger Tasya Farasya. Homophily itself is divided into four dimensions including attitude, background, morals, and appearance. This study uses a descriptive research design conducted in a single-cross sectional through the distribution of questionnaires online to respondents. The target respondents of this study were Indonesian women aged 15 years and over and had watched the YouTube video of Tasya Farasya (n = 430). The data obtained processed using the statistical method of Structural Equation Modeling (SEM) using LISREL 8.80 software. The results of this research showed that almost all dimensions of homophily (attitude, values, appearance) are significantly have a positive impact the emotional attachment. On the other hand, all dimensions of homophily does not have a significant positive impact on vloggers’ popularity. Then, emotional attachment and expertise also found have a significant positive impact to vloggers’ popularity. In last, researcher found that emotional attachment and expertise are significantly have a positive impact the purchase intentions of viewers while vloggers’ popularity does not.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126871017","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: 1

[Copyright notice] (版权)

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/ic2ie50715.2020.9274614

引用次数: 0

The Prediction Of Export Product Prices With Holt’s Double Exponential Smoothing Method 用霍尔特双指数平滑法预测出口产品价格

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274679

H. Maulana, Ulfa Mulyantika

引用次数: 2

Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks 利用递归神经网络预测厄尔尼诺因素的风速

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274686

Intan Vidia Saputri, E. C. Djamal, Fikri Nugraha, Ridwan Ilyas

{"title":"Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks","authors":"Intan Vidia Saputri, E. C. Djamal, Fikri Nugraha, Ridwan Ilyas","doi":"10.1109/IC2IE50715.2020.9274686","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274686","url":null,"abstract":"Wind speed prediction is needed in various sectors, such as in industry. However, the weather conditions change all the time, so it is not easy to predict. The wind that blows is influenced by several climatic weather factors such as humidity and rainfall. Also, wind speed patterns change when there is a global climate change, El Nino. Therefore this research involved the element in predicting wind patterns one week ahead. Recurrent Neural Networks (RNN) and Long-short Term Memory (LSTM) methods are used for sequential data processing, such as climate data. Climate data for ten years used were wind speed, humidity, and rainfall provided by Meteorological, Climatological, and Geophysical Agency (BMKG) of a weather observation station, while Southern Oscillation Index (SOI), was obtained from the Australian Bureau of Meteorology (ABM). Data need to be pre-processed to solve missing data. Moreover, all variables were normalized and segmentation by overlapping to avoid data discontinuity. The results showed that the use of the amount of data, learning rate, epoch, and selection of the right optimization model could give good accuracy. The purpose of the proper configuration has a good performance, with accuracy reaching 88.34%. The results showed that the use of SOI factors improved correctness from 74.75% without SOI. The results also show that the model Adaptive Moment Estimation (Adam) provides better accuracy than the model Stochastic Gradient Descent (SGD), which gives an accuracy of only 71.84%. Meanwhile, the study also examined the effect of the learning rate and composition of training data and test data. The best accuracy is shown for the learning rate of 0.020 and 80:20% of training and test data comparison.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114316927","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

Personalization Strategies Based on Felder-Silverman Learning Styles and Its Impact on Learning: A Literature Review 基于费尔德-西尔弗曼学习风格的个性化策略及其对学习的影响:文献综述

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274670

D. I. Sensuse, L. M. Hasani, B. Bagustari

{"title":"Personalization Strategies Based on Felder-Silverman Learning Styles and Its Impact on Learning: A Literature Review","authors":"D. I. Sensuse, L. M. Hasani, B. Bagustari","doi":"10.1109/IC2IE50715.2020.9274670","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274670","url":null,"abstract":"Addressing different learner’s characteristics and needs is a critical issue in the process of learning. The advent of adaptive e-Learning technology has made it possible to tailor learning materials for different learner characteristics including learning styles. Delivering matching learning objects and strategies through an adaptive e-Learning system is believed to have a profound impact on learner’s learning performance. A body of research has offered various personalization strategies including learning object mapping according to learning styles. This paper focused on exploring how the learning objects are mapped to Felder-Silverman learning styles and the effect of implementing such approach. In this paper, 15 relevant publications were reviewed in order to gain some insights into the implementation of learning styles-based personalization. Based on the insights found this study proposed a conceptual learning object mapping and personalization strategies. The findings and recommendations of this study can be utilized as the basis to build an adaptive e-Learning system based on Felder-Silverman Learning Style Model (FSLSM).","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123192964","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

A Method for Microservices Handover in A Local Area Network 局域网络中的微服务切换方法

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274591

R. Afshari, Rimba Frida Pusparini, Muhammad Helmi Utomo, Favian Dewanta, R. Negara

{"title":"A Method for Microservices Handover in A Local Area Network","authors":"R. Afshari, Rimba Frida Pusparini, Muhammad Helmi Utomo, Favian Dewanta, R. Negara","doi":"10.1109/IC2IE50715.2020.9274591","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274591","url":null,"abstract":"The trend of internet of things (IoT) makes the cloud less effective because networked control systems need low latency while cloud have high latency for processing data from sensors and devices. In that kind of situation, fog computing is introduced as the complement of cloud computing. However, unlike cloud services, fog services are limited to certain geographical area. As a consequence, fog services handover is needed in order to accommodate user’s mobility. This paper is focusing on microservices handover that follows user’s movement. The microservices installed in the current fog node are sent to another service coverage of a new fog node for continuing the same service to the users. Fog node contains a docker that runs MySQL, python script, and busybox services. When it comes to handover, docker will freeze current session and convert it to a checkpoint file. The file is created by taking a snapshot of the container, which consists of processes in memory, volume or image. The file will be sent by using secure shell (SSH) or file transfer protocol (FTP). At the destination fog node, the file will be processed in order to resume the service. The results show that delay of SSH is always higher than FTP in all experiments, in which the largest delays are 484.026 seconds for SSH protocol and 146.41 seconds for FTP protocols. As for checkpoint and restore process, those delays tend to be similar with respect to both SSH and FTP protocols but they are still affected by the size of snapshot and checkpoint file.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704779","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: 1

The Design of Microfluidic Mixer Based on Flattening for Blood Mixing Application 基于压平的血液混合微流控混合器设计

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274678

Nurul Fatimah, B. Mulyanti, R. Pawinanto, A. B. Pantjawati

引用次数: 1

The Effect of Channel Characteristic on Millennial Moms Purchasing Behaviors of Baby Product 渠道特征对千禧一代妈妈婴童产品购买行为的影响

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274635

Richardo Antolis, A. Agus

引用次数: 0

Lip Motion Recognition for Indonesian Vowel Phonemes Using 3D Convolutional Neural Networks 基于三维卷积神经网络的印尼语元音音素唇动识别

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274562

Maxalmina, Satria Kahfi, Kurniawan Nur Ramadhani, A. Arifianto

引用次数: 1