2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)最新文献_第3页

Analysis of the Effect of Trust on Purchase Intention in E-Commerce Integration for Vendors & Event Organizer 供应商&活动组织者电子商务整合中信任对购买意愿的影响分析

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003965

Dina Ikramina Setiani, Sfenrianto Sfenrianto, Gunawan Wang

{"title":"Analysis of the Effect of Trust on Purchase Intention in E-Commerce Integration for Vendors & Event Organizer","authors":"Dina Ikramina Setiani, Sfenrianto Sfenrianto, Gunawan Wang","doi":"10.1109/ICITISEE48480.2019.9003965","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003965","url":null,"abstract":"Event Organizer is a professional service provider of organizing events in order to organize the entire series of events to suit the expected goals. This research aims to determine the Event Organizer integrated with e-commerce such as Tokopedia, Bukalapak, Blibli, Lazada and Shopee, so that it can be accessed by customers and vendors providing event needs easily. Some factors that influence customer behavior so that they are interested in using Event Organizer services are by using Perceived Value, Service Quality, User Satisfaction, Trust, and Purchase Intention variables. This research produces several hypotheses that will illustrate the interrelationship between variables and the effect on variables. The hypothesis will be validated using an online survey involving 100 respondents. The results of the questionaire will be tested using SmartPLS software so that it is accurate. This research shows that many factors influence customers in deciding to use Event Organizer services. The results showed that the influence of trust has a positive effect on purchase intention.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114719637","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

Automatic Cacao Pod Detection Under Outdoor Condition Using Computer Vision 基于计算机视觉的室外条件下可可荚自动检测

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003733

Yulia Ekawaty, Indrabayu, I. Areni

引用次数: 5

Hybrid Encryption Technique using Cyclic Bit Shift and RC4 基于循环位移和RC4的混合加密技术

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003848

Dina Evita Sari, Happy Niti Noor Muchsin, D. Setiadi, C. A. Sari, E. H. Rachmawanto

引用次数: 0

Impact of Device orientation for Visible Light Communication in Closed Room 设备方向对封闭室内可见光通信的影响

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003931

Amirullah Wijayanto, K. Sujatmoko, Brian Pamukti

引用次数: 2

Dynamic Source Routing and optimized Link State Routing Performance in Multipath Fading Environment with Dynamic Network Topology 动态网络拓扑下多径衰落环境下的动态源路由和优化链路状态路由性能

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003887

Istikmal, A. Subekti, D. Perdana, N. Ridha Muldina, I. ArifIndra, Sussi

{"title":"Dynamic Source Routing and optimized Link State Routing Performance in Multipath Fading Environment with Dynamic Network Topology","authors":"Istikmal, A. Subekti, D. Perdana, N. Ridha Muldina, I. ArifIndra, Sussi","doi":"10.1109/ICITISEE48480.2019.9003887","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003887","url":null,"abstract":"In wireless adhoc network, routing protocol plays an important role establish and to maintain end-to-end communication path. Effects of propagation environment and mobility of the nodes have to be considered in the routing protocol. In this research, we investigated proactive and reactive routing protocol performance in a more realistic environment with dynamic network topology scenarios. We proposed a more realistic model scenario which includes Rician and Rayleigh multipath fading. Performance evaluation using the proposed model has been performed for two routing protocols, Dynamic Source Routing (DSR) as reactive routing protocol and a proactive routing protocol optimized Link State Routing (OLSR). Considering the dynamic nature of the wireless adhoc network architecture, we focus on network topology change scenarios by increasing number of nodes and behavior of the node. The results show that OLSR give more advantages of higher throughput and smaller end-to-end delay compare to DSR in Rician and Rayleigh environments due to multipoint replying (MPR) strategy. However, DSR have more efficient in packet routing control with smaller normalized routing load. For dynamic topology change in Rician and Rayleigh fading, OLSR performs more stable and can gain higher performance than DSR.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122840807","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

An Adaptive Scaling Factor for Multiple Watermarking Scheme 基于自适应比例因子的多重水印算法

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003948

Dhani Ariatmanto, F. Ernawan

引用次数: 1

Comparison of Pornographic Image Classification based on Texture, Color, and Shape Features 基于纹理、颜色和形状特征的色情图像分类比较

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003842

I. W. P. Swardiana, A. Setyanto, Sudarmawan

{"title":"Comparison of Pornographic Image Classification based on Texture, Color, and Shape Features","authors":"I. W. P. Swardiana, A. Setyanto, Sudarmawan","doi":"10.1109/ICITISEE48480.2019.9003842","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003842","url":null,"abstract":"Content filtering application on the internet is very important to protect children from various negative content such as pornography and violence. It is necessary to find a detection tool for pornographic images with high accuracy and fairly low computational time. The classification algorithm is responsible for distinguishing pornographic images and non-pornographic images. This research aims to find the optimum classifier among available algorithms. To achieve these objectives, we compare the existing classification algorithm namely: K Nearest Neighbors (KNN), Logistic Regression (LR), Linear Discriminant Analysis (LDA), Decision Tree (DT), Random Forest (RF), Multi Layers Perceptron (MLP), and Support Vector Machine (SVM). Classification algorithm needs features as the input. Therefore we need a feature extraction algorithm to do so. In this study, we evaluate some features which are Haralick texture (texture features), Color Histogram (color features), and Hu Moment (shape features). The test results show that the most suitable method for classification of pornographic images is the Random Forest (RF) with an accuracy of 91.04% and the computational time per image is 0.80 ms.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129360821","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

Natural Disaster Application on Big Data and Machine Learning: A Review 自然灾害在大数据和机器学习中的应用综述

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003984

Rania Rizki Arinta, Emanuel Andi W.R.

{"title":"Natural Disaster Application on Big Data and Machine Learning: A Review","authors":"Rania Rizki Arinta, Emanuel Andi W.R.","doi":"10.1109/ICITISEE48480.2019.9003984","DOIUrl":"https://doi.org/10.1109/ICITISEE48480.2019.9003984","url":null,"abstract":"Natural disasters are events that are difficult to avoid. There are several ways of reducing the risks of natural disasters. One of them is implementing disaster reduction programs. There are already several developed countries that apply the concept of disaster reduction. In addition to disaster reduction programs, there are several ways to predict or reducing the risks using artificial intelligence technology. One of them is big data, machine learning, and deep learning. By utilizing this method at the moment, it facilitates tasks in visualizing, analyzing, and predicting natural disaster. This research will focus on conducting a review process and understanding the purpose of machine learning and big data in the area of disaster management and natural disaster. The result of this paper is providing insight and the use of big data, machine learning, and deep learning in 6 disaster management area. This 6-disaster management area includes early warning damage, damage assessment, monitoring and detection, forecasting and predicting, and post-disaster coordination, and response, and long-term risk assessment and reduction.","PeriodicalId":380472,"journal":{"name":"2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128046650","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: 13

Essential Blockchain Technology Adoption factors in Pharmaceutical Industry 制药行业采用区块链技术的基本因素

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003997

Surjandy, Erick Fernando, Meyliana

引用次数: 5

Analysis of Overclock Ram Galax Hall Of Fame For Daily Needs 超频Ram Galax名人堂日常需求分析

2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2019-11-01 DOI: 10.1109/ICITISEE48480.2019.9003923

Rizqi Sukma Kharisma, Miko Kastomo Putro

引用次数: 0