2021 4th International Conference of Computer and Informatics Engineering (IC2IE)最新文献

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Indoor CO2 Level-Based Occupancy Estimation at Low-Scale Occupant using Statistical Learning Method 基于统计学习方法的小尺度居住者室内CO2水平估算
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649072
Haolia Rahman, Abdul Azis Abdillah, Asep Apriana, D. Handaya, Idrus Assagaf
{"title":"Indoor CO2 Level-Based Occupancy Estimation at Low-Scale Occupant using Statistical Learning Method","authors":"Haolia Rahman, Abdul Azis Abdillah, Asep Apriana, D. Handaya, Idrus Assagaf","doi":"10.1109/ic2ie53219.2021.9649072","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649072","url":null,"abstract":"Most of the occupancy estimations based on indoor CO2 levels are tested on a large-scale number of occupants such the order of tens or hundreds. Logically because the pattern of the occupancy and CO2 level is about similar at a broad range of occupants. In the present study, a small office room with an occupancy scale of 0-6 people was tested. The Statistical Learning method is used to estimate the number of occupants, including Decision Tree, Random Forest classifier, SVM, Logistic regression, K-Nearest Neighbor, and Neural Network. A combination of training and testing data set is applied to the methods and a comparison has been made in order to distinguish their accuracy. The result shows that the accuracy of self-estimation and cross-estimation is ranged from 86-100% and 86-94% respectively. It also found that the estimation accuracy of self-and-cross validation does not significantly increase with the increase of data set combination.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127577358","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
Prediction Model for Diagnosis of Pulpitis Diseases using Learning Vector Quantization 3 基于学习向量量化的牙髓炎疾病诊断预测模型
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649223
R. Kurniawan, Wirdatul Hasana, Benny Sukma Negara, Mohd Zakree Ahmad Nazri, F. Lestari, I. Iskandar
{"title":"Prediction Model for Diagnosis of Pulpitis Diseases using Learning Vector Quantization 3","authors":"R. Kurniawan, Wirdatul Hasana, Benny Sukma Negara, Mohd Zakree Ahmad Nazri, F. Lestari, I. Iskandar","doi":"10.1109/ic2ie53219.2021.9649223","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649223","url":null,"abstract":"Poverty and mobility limitations are among the main factors that hinder people from regular dental visits. Hence, many people, especially from remote areas, did not get the required education on proper dental hygiene and early detection and treatment for dental disease. Pulpitis is one of the frequent dental diseases. A free online diagnosis of Pulpitis would be helpful to users who are having difficulties visiting a dentist. However, the challenge in developing an online advisor or expert system is to create a high accuracy prediction model. One method proven effective in building the required classification model is an Artificial Neural Network (ANN). In this research, we developed the Pulpitis disease prediction model using the LVQ3 algorithm. This developed model can classify five classes of Pulpitis diseases based on 13 symptoms. In addition, we also conducted experimental testing with eight learning rates, eight windows, a maximum of 100 epochs, and time is taken parameters to get the highest accuracy modelling. Based on experimental testing, LVQ3 obtained an average accuracy of 97.5% on training data allocation of 80%. In terms of time taken, the system using the LVQ3 algorithm requiring a total processing time of 328 minutes 23 seconds, with an average for one processing time is 1 minute 42 seconds. Therefore, based on the test results, we concluded that this web-based prediction system has the potential to be used as a solution for the community to get the Pulpitis diseases diagnosis as early as possible.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907091","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
Exploring the Influence Factor of Social Media adoption to SMEs Performance: A Systematic Literature Review 社会媒体采用对中小企业绩效的影响因素:系统文献综述
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649374
Puri Indah Lestari, D. Indra Sensuse
{"title":"Exploring the Influence Factor of Social Media adoption to SMEs Performance: A Systematic Literature Review","authors":"Puri Indah Lestari, D. Indra Sensuse","doi":"10.1109/ic2ie53219.2021.9649374","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649374","url":null,"abstract":"Social media is a public tool that many people can use. Social media also makes it easy for SME actors. The use of social media can affect SME performance. This study uses the Systematic Literature review (SLR) method to produce insight into the current status of empirical research of social media adoption for SME performance and what factors are identified in the relevant studies. This study used the Kitchenham method for the selection of a relevant study. Out of 788 articles from 2016 until 2021, this study selected 20 articles relevant to the research objectives. By analyzing these 20 articles, more research is found in developing countries than in developed countries. In addition, the theories that are widely used in this research area are the Diffusion of Innovation (DOI) theory and the Technology Organization Environment (TOE) framework. The most mentioned factors in the selected paper are relative advantage, compatibility, and top management support.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133787510","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
Medical Image Watermarking using Spread Spectrum and Compressive Sensing Techniques 基于扩频和压缩感知技术的医学图像水印
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649184
May Refiyanti, Gelar Budiman, L. Novamizanti, Muhammad Alief Yudha Pratama
{"title":"Medical Image Watermarking using Spread Spectrum and Compressive Sensing Techniques","authors":"May Refiyanti, Gelar Budiman, L. Novamizanti, Muhammad Alief Yudha Pratama","doi":"10.1109/ic2ie53219.2021.9649184","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649184","url":null,"abstract":"In the current era, almost everyone has used digital media to exchange information. One example of the use of digital media in the medical field is the Electronic Patient Record (EPR). However, the use of digital media in EPR raises concerns about the authenticity and security aspects of patient data. The authenticity of medical images is one of the important data and must be considered. One way that can be done to minimize the possibility of various threats is to use a watermark. Another problem that arises is the size of the medical image. This study proposes a watermarking system for medical images using the Compressive Sensing method based on Singular Value Decomposition (SVD) which can be used to reduce the size of medical images. Compressive Sensing includes lossless compression which is a way to compress the size of a data without losing the original information. The medical image watermarking process is divided into two processes, namely the insertion process and the extraction process. The insertion process is carried out using the Spread Spectrum method with a Gaussian distributed PN code key, resulting in a watermarked image. While the extraction process is carried out by reconstructing the image using the Orthogonal Matching Pursuit (OMP) method, SVD reconstruction. The experimental results obtained BER values with an average of 0 when the Gaussian noise attack was carried out. PSNR value range is 30-38 dB and compression ratio is 0.2656.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116478338","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
IPv6 vs IPv4 Performance Simulation and Analysis using Dynamic Routing OSPF 使用动态路由OSPF的IPv6与IPv4性能仿真与分析
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649228
Fahmi, Muladi, Muhammad Ashar, A. Wibawa, Purnawansyah
{"title":"IPv6 vs IPv4 Performance Simulation and Analysis using Dynamic Routing OSPF","authors":"Fahmi, Muladi, Muhammad Ashar, A. Wibawa, Purnawansyah","doi":"10.1109/ic2ie53219.2021.9649228","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649228","url":null,"abstract":"Digital networks are introduced gradually, nowadays many industries they rely on Internet Protocol to provide direct connectivity to customers anytime, anywhere. IP is presently utilized in crucial regions including video control, telemedicine, Internet of Think, digital payments, telepresence, etc. The two protocols, Internet Protocol version 6 (IPv6) and Internet Protocol version 4 (IPv4), can be distinguished in terms of features, services, and performance. Nowadays communication companies are The exhaustion of IPv4 and the transition to IPv6. IPv6 has more IP addresses than IPv4. IPv6 uses 128 bits and IPv4 uses 32 bits . IPv4 is not more secure than IPv6. The efficiency of IPv6 and IPv4 is carried out to test to check the response between the target client and server, the routing protocol, The packet size interval between the router and the communication network simulation. All of these parameters are combined to simultaneously test IPv4 and IPv6 performance. Now that all data has been received, it turns out that IPv4 with all these specifications is not better than IPv6. The length of a packet affects how long it takes for a packet to reach its destination. Every time a small packet is sent, the duration is slow in IPv4 with routing OSPF protocol. The study is performed using the routing OSPF vector protocol. Every time a small packet is sent the duration remains slow in IPv4 using the OSPF protocol. Whenever a small packet is sent, the duration remains slow in IPv4 using OSPF protocol. The research will be conducted using the OSPF vector routing protocol.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544218","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
Critical Success Factor on E-Learning: Case Study Ruangguru Indonesia 电子学习的关键成功因素:个案研究,印尼Ruangguru
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649139
ArinaAshfa Fikriya, Sri Suning Kusumawardani, Indriana Hidayah
{"title":"Critical Success Factor on E-Learning: Case Study Ruangguru Indonesia","authors":"ArinaAshfa Fikriya, Sri Suning Kusumawardani, Indriana Hidayah","doi":"10.1109/ic2ie53219.2021.9649139","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649139","url":null,"abstract":"E-Learning has become a new trend in recent years. One of the e-learning trends among school students in Indonesia is Ruangguru. Ruangguru has an animation learning videos and has a different e-learning model. This article aims to identify the factors that influence the success of Ruangguru using the Critical Success Factor (CSF) method. This study distributed questionnaires to 100 respondents, questionnaires made based on the CSF method. The CSF factor used has 6 factors and 36 sub-factors, the CSF factor consists of the characteristics of students, instructor characteristics, quality content, information technology quality, educational institution support and system support. The results of this study stated that CSF Factors together have a significant influence on the Success of Ruangguru’s especially Information Technology Quality and System Support. From the results obtained produce some recommendations for the success of Ruangguru.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128914652","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
Application of Spatial Data Warehouse for Agriculture: Challenge and Future Trends 空间数据仓库在农业中的应用:挑战与未来趋势
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649399
Intan Mutia, I. S. Sitanggang, Annisa Annisa, D. Astuti
{"title":"Application of Spatial Data Warehouse for Agriculture: Challenge and Future Trends","authors":"Intan Mutia, I. S. Sitanggang, Annisa Annisa, D. Astuti","doi":"10.1109/ic2ie53219.2021.9649399","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649399","url":null,"abstract":"Spatial Data Warehouse (SDW) used for agricultural data is considered capable of responding to user requests in a timely manner by integrating two or more databases which contain geo-spatial data from several different data sources with analytical processing properties. Several studies have linked agriculture with technologies that have the ability to provide updated data, high performance, data availability, predictive capabilities and integrated information in supporting tactical decisions. In agriculture, data exploration using location coordinates for visualization are still challenge to be solved, because geo-spatial and agricultural environmental data do not only include maps of land-use locations, but also other characteristic such as production, population, farmers socio-economic data, etc. Trends in Spatial DW for agriculture discussed usage of SDW with Cloud, Big Data and Real time technology so that high-speed and large-volume agricultural data paths are clear, development and implementation can also be carried out efficiently. The resulting visualization dashboard using SOLAP makes it easy for users to get reliable, real-time data-oriented analysis results and reports. This study aims to present an overview and trends of SDW in agriculture, also support from GIS tools that are capable of generating various types of spatial data as a solution to increase stakeholder satisfaction.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130653381","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
Program Structure 程序结构
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649138
Ben Langmead
{"title":"Program Structure","authors":"Ben Langmead","doi":"10.1109/ic2ie53219.2021.9649138","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649138","url":null,"abstract":"• We've seen that program bugs are a major contributor to security problems • We can't build bug-free software • Can we build bug-resistant software? • Let's look at a few examples, good and bad","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132013098","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
Wireless Network uses RSSI (Received Signal Strength Indication) Mechanism for Smart Office Concept 无线网络采用RSSI(接收信号强度指示)机制实现智能办公概念
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649351
Muhammad Yusuf Bagus Rasyiidin
{"title":"Wireless Network uses RSSI (Received Signal Strength Indication) Mechanism for Smart Office Concept","authors":"Muhammad Yusuf Bagus Rasyiidin","doi":"10.1109/ic2ie53219.2021.9649351","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649351","url":null,"abstract":"The concept of Smart Office has reliable internet network facilities and has the flexibility of access. BYOD (Bring Your Device) is popular, where the user uses many devices connected to the wireless network. Employees need a good wireless connection to support their work. The use of wireless systems in addition to having the flexibility of access, also have infrastructure costs that are far less expensive than ever before using the cable (wired). To support good work use wireless network, this paper use RSSI (Received Signal Strength Indication) which is useful to determine signal user device and synchronized to the wireless device. The research used is PPPDIO (Prepare, Plan, Design, Implement, Operate, and Optimize) method lifecycle. This networking system is expected to meet the needs of the smart office concept.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129213073","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
[Copyright notice] (版权)
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649348
{"title":"[Copyright notice]","authors":"","doi":"10.1109/ic2ie53219.2021.9649348","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649348","url":null,"abstract":"","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128810020","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
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