2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)最新文献_第2页

Classification Of X-ray COVID-19 Image Using Convolutional Neural Network 基于卷积神经网络的COVID-19 x射线图像分类

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320828

Ronaldus Morgan James, Kusrini, M. R. Arief

{"title":"Classification Of X-ray COVID-19 Image Using Convolutional Neural Network","authors":"Ronaldus Morgan James, Kusrini, M. R. Arief","doi":"10.1109/ICORIS50180.2020.9320828","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320828","url":null,"abstract":"The current number of coronavirus (COVID-19) infections in Indonesia becomes more and more worrying. According to data on June 11, 2020, the number of infected people in Indonesia has reached 35,295 people. With these consequences, it is considered very important to immediately identify infection in order to stop or minimize the spread of the disease. There have been several ways to detect and diagnose COVID-19, one of which is using X-ray images. This paper examines the use of in-depth features and methods to process two-dimensional data from patients' X-ray images. Convolutional Neural Network (CNN) is a development of Multi-Layer Perceptron (MLP), which is specifically designed to process two-dimensional data or image data. The deep features of the fully connected layer CNN model are extracted and can be immediately classified without the need for any additional techniques. CNN method is used because of its good performance for large datasets that will be used for training and testing. In the classification process, the dataset contains 160 x-ray images and consists of two categories, COVID-19 and normal, that represents a positive or negative classification of Covid-19 infection to a patient. To get the best accuracy of the classification model, the author changed several parameters on CNN, such as the distribution of the dataset and the number of epochs. From the nine models tested, model number 5 and 8 with a dataset ratio of 70:30 and epoch number 30 and 40 respectively, resulted in the best accuracy of 97.91%.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130404324","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: 6

Transient in Electrical Power System under Large Induction Motor Starting Condition 大型感应电动机起动条件下电力系统的暂态

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320791

L. Gumilar, Dezetty Monika, Mokhammad Sholeh, S. N. Rumokoy

引用次数: 0

Data Mining Approach to Predict Air Pollution in Makassar 望加锡市空气污染预测的数据挖掘方法

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320800

Nur Aini, M. S. Mustafa

引用次数: 5

Detection of Covid-19 in Chest X-ray Image using CLAHE and Convolutional Neural Network 基于CLAHE和卷积神经网络的胸部x线图像Covid-19检测

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320806

Buyut Khoirul Umri, Muhammad Wafa Akhyari, Kusrini Kusrini

{"title":"Detection of Covid-19 in Chest X-ray Image using CLAHE and Convolutional Neural Network","authors":"Buyut Khoirul Umri, Muhammad Wafa Akhyari, Kusrini Kusrini","doi":"10.1109/ICORIS50180.2020.9320806","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320806","url":null,"abstract":"In 2019, the COVID-19 virus has spread to various parts of the world including Indonesia. This global pandemic becomes a lethal outbreak since there is no vaccine to treat or prevent transmission of the virus. Rapid Test is selected as an essential method to detect Covid-19 in Indonesia because the price is fairly cheap compared to the SWAB test. The increase in Covid-19 patients tends to lead to limited capacity for the Covid-19 test available at the hospital so that the latest technology to detect and overcome this pandemic issue is needed. Thus, the present research aims to examine the total of 100 X-Ray chest images of the Covid-19 patients and 100 X-ray normal chest images. The application of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Convolutional Neural Networks (CNN) methods are implemented to analyze the dataset with two scenarios in obtaining the detection results. The results of this research reveal that the application of CLAHE is likely to affect Covid-19 detection accuracy using CNN. Also, the application of the CNN basic model shows significant results compared to the application of VGG16 transfer learning.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125205795","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: 20

The Mapping of Organizational Culture to Find Determinant Factors for Behavioral Intention to Use in IT Utilization Among Credit Unions in Indonesia 印尼信用合作社资讯科技使用行为意向之决定因素之组织文化映射研究

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320814

Indra Samsie, Titik Khawa Binti Abdul Rahman, Suarga

{"title":"The Mapping of Organizational Culture to Find Determinant Factors for Behavioral Intention to Use in IT Utilization Among Credit Unions in Indonesia","authors":"Indra Samsie, Titik Khawa Binti Abdul Rahman, Suarga","doi":"10.1109/ICORIS50180.2020.9320814","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320814","url":null,"abstract":"Measurement of IT acceptance at the organizational level is no more sufficient if only based on individual acceptance factors. There is an attempt to measure IT acceptance in organizations by considering organizational culture as a determinant factor. Competitive Value Framework is used to determine the position of the credit union organizations. This study used an organizational culture which derived from the Organizational Culture Assessment Instrument (OCAI) and used the value that influences the chosen quadrant as a determinant factor for behavioral intention to use IT. The result showed that Credit Union (CU) in Saluampak placed in Hierarchy quadrant. This result identified four factors: timelines, efficiency, uniformity, and consistency as a value that will use as a determinant of behavioral intention to use IT in CU. The most significant point is that this mapping creates cultural, organizational principles extracted from the hierarchical quadrant and is used as a determinant of conduct purpose to use IT in a CU context.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133966249","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

The Antecedent of Student Academic Achievement Prediction 学生学业成绩预测的前因式

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320788

Sandy Kosasi, Vedyanto, I. Yuliani, Robertus Laipaka

{"title":"The Antecedent of Student Academic Achievement Prediction","authors":"Sandy Kosasi, Vedyanto, I. Yuliani, Robertus Laipaka","doi":"10.1109/ICORIS50180.2020.9320788","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320788","url":null,"abstract":"The research goal was set to determine to what extent the influences of learning analytics and academic analytics, the antecedent factors in predicting student academic achievement through the use of big data were. There has been no discussion on progress, success, retention, or decline of this achievement. Therefore, this research has significance for the improvement of higher education institutions. The research was in the form of online surveys involving 203 respondents, i.e., leaders, structural staff, and academic advisors from each of these institutions in Pontianak. Tests of eight hypotheses were conducted through SEM-PLS Method, and two of them had no direct influences. The results show that the two antecedent factors, directly and indirectly, have different influences and significance values on student academic achievement prediction despite the critical roles of big data. In addition, results obtained through the application of learning analytics and academic analytics in relation to big data of higher education institutions, especially for the need to predict student academic achievement, are infrequently similar.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"66 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131873110","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

Blockchain Education Smart Courses of Massive Online Open Course Using Business Model Canvas 使用商业模式画布的区块链教育大规模在线公开课程智能课程

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320789

Fitra Putri Oganda, Ninda Lutfiani, Q. Aini, U. Rahardja, A. Faturahman

{"title":"Blockchain Education Smart Courses of Massive Online Open Course Using Business Model Canvas","authors":"Fitra Putri Oganda, Ninda Lutfiani, Q. Aini, U. Rahardja, A. Faturahman","doi":"10.1109/ICORIS50180.2020.9320789","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320789","url":null,"abstract":"With the development of internet technology, online education, a new model of education, has been very popular. However, this mode of education still has many problems in terms of credibility, credit certification and certificates, student privacy, and various courses. The accepted question addressed was whether universities would discuss blockchain technology differently from traditional research and education. Through a research approach, literature summary and case analysis as well as Business Model Canvas which provides three theoretical contributions and guidance on what Blockchain is by taking sponsored studies. This study shows the results that integrating blockchain technology with the MOOC-based Smart Program Education platform is a trend that is promised on the Internet of online education development. The conclusion can provide a critique of the technical features and basic applications of Blockchain and provide solutions to online education problems based on Blockchain technology. Assistance, discussion, discussion on blockchain and discussion on how educational institutions work must be approved by Blockchain technology as digital technology, so that more can be expected in prototypes and will be developed to provide a better replacement.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"410 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123092562","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: 33

Application of the Fisher-Yates Shuffle Algorithm in the Game Matching the World Monument Picture Fisher-Yates Shuffle算法在世界纪念碑图片匹配博弈中的应用

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320766

Yusfrizal, Deny Adhar, Ulfah Indriani, Erwin Panggabean, Ahmad Sabir, Helmi Kurniawan

{"title":"Application of the Fisher-Yates Shuffle Algorithm in the Game Matching the World Monument Picture","authors":"Yusfrizal, Deny Adhar, Ulfah Indriani, Erwin Panggabean, Ahmad Sabir, Helmi Kurniawan","doi":"10.1109/ICORIS50180.2020.9320766","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320766","url":null,"abstract":"The application of the concept of artificial intelligence is very helpful in various randomization problems. One example of the application of artificial intelligence to the problem of randomization is in the game of matching images of world monuments. In the game matching world monument images, a randomized picture sequence will appear, and then the player will click on the image to open the image, and then click on another image for the same or matching image. The picture order for the new game will be randomized, so the image order display will not be the same as the previous image order display. In this study, the process of randomizing this game using randomization algorithms that exist in the science of artificial intelligence is the Fisher-Yates Shuffle algorithm. Shuffling algorithm Fisher-Yates Shuffle can randomize the order of data entered into the array because this algorithm is biased or it is unlikely to appear in the same order. This game matching application of world monuments can support learning in honing children's memory skills. This game consists of 3 levels. At the easy level, there are 16 boxes containing 8 pairs of images, at the moderate level there are 20 boxes containing 10 pairs of images, while at the difficult level contains 24 boxes containing 12 pairs of images that must be matched.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124791900","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 Framework for Political Communication Text Mining Based on Twitter 基于Twitter的政治传播文本挖掘框架

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320805

Jufri, Aedah Abd Rahman, Suarga

{"title":"The Framework for Political Communication Text Mining Based on Twitter","authors":"Jufri, Aedah Abd Rahman, Suarga","doi":"10.1109/ICORIS50180.2020.9320805","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320805","url":null,"abstract":"In recent years, social media as a medium that is widely used in communication in the community. The phenomenon of communication on social media is increasingly being used in political communication. Social networking site services like Twitter and Facebook are believed to have the potential to increase public participation in politics. Twitter is an ideal platform for voters, politicians, political parties, and political institutions to disseminate not only public information but also political opinions to the public through their networks. This research is related to the effectiveness of social media (Twitter) as a means of political communication used by the public, especially in the election of the Mayor of Makassar and other elections in Indonesia. This paper, using two methods for social media analysis on political communication. Support Vector Machine (SVM) to classify predictable words or sentences, and the K-Means method is used to classify words or sentences related to political communication. The results of this study can be used by voters, candidates, political parties, and political institutions, as information and also as a measurement aid in determining the choice of candidates.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672018","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

Use of the EPIC Method to Analyze the Effectiveness of Sales Promotion in the Go-Jek Online Transportation Mode 基于EPIC方法的Go-Jek在线交通模式促销效果分析

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320813

Reynoldus Andrias Sahulata, Lewi Kailola

{"title":"Use of the EPIC Method to Analyze the Effectiveness of Sales Promotion in the Go-Jek Online Transportation Mode","authors":"Reynoldus Andrias Sahulata, Lewi Kailola","doi":"10.1109/ICORIS50180.2020.9320813","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320813","url":null,"abstract":"The internet as a form of information technology advancement has made Go-Jek increasingly recognized by the public as one of the largest online-based transportation companies in Indonesia. Tight competition is certainly closely related to the sales promotion that Go-Jek and its competitors continue to do. This study aims to measure the effectiveness of sales promotion activities carried out by Go-Jek using the EPIC model. The data collection process was carried out by distributing questionnaires to 100 respondents who had been assigned Go-Jek users in Manado City. The data analysis technique used was quantitative analysis, simple tabulation analysis and the average score, which was then entered into the EPIC scale range model developed by The Nielsen Company. In it, there are four dimensions, namely empathy, persuasion, impact and communication, which are used to measure the effectiveness of sales promotions. The results of the EPIC model analysis show that the four dimensions are included in the effective scale range, where the empathy dimension gets a score of 4.03, the persuasion dimension gets a score of 3.68, the impact dimension gets a value of 3.96, and the communication dimension gets a score of 4.07. The EPIC rate, which is the average value of the four dimensions, is 3.93 and is included in the effective scale so that the effectiveness of sales promotions carried out by Go-Jek companies in the city of Manado meets expectations.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931309","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