2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第2页

Detection of Fake News and Hoaxes on Information from Web Scraping using Classifier Methods 利用分类器方法检测网络抓取信息中的假新闻和骗局

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702824

F. W. Wibowo, Akhmad Dahlan, Wihayati

{"title":"Detection of Fake News and Hoaxes on Information from Web Scraping using Classifier Methods","authors":"F. W. Wibowo, Akhmad Dahlan, Wihayati","doi":"10.1109/ISRITI54043.2021.9702824","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702824","url":null,"abstract":"Current technological developments can make humans get information from the hand through gadget media. However, bad and good impacts are indeed a problem that arises in implementing this technology media. Fake news and hoaxes have developed along with social media applications obtained from these technological media. This paper aims to detect fake news and hoaxes using classification modeling. The classification models implemented in this paper are support vector machine (SVM), random forest, nearest centroid, stochastic gradient descent (SGD) method, decision tree (Tree), bagging, AdaBoost, gradient boosting, multi-layer perceptron artificial neural network (MLP ANN), and K-nearest neighbors (K-NN). The data obtained through web scraping amounted to 1116 data from Indonesian language news, with the distribution of training data and test data for modeling of 70% and 30%. The testing data are 335 data consisting of 205 fake news and hoax data and 130 real news data. Web data content processing using the principle of natural language processing (NLP) methods. The random forest model is the best model for classifying fake news and hoaxes with an accuracy value of 89%. The following models with the next high scores are SVM, Gradient Boosting, AdaBoost, SGD, and Decision Tree, respectively, with the highest scores above 80%. In comparison, other methods have accuracy scores below 80%.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122003524","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

An XGBoost Model for Age Prediction from COVID-19 Blood Test 基于XGBoost模型的COVID-19血液检测年龄预测

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702867

N. N. Qomariyah, A. A. Purwita, M. S. Astriani, S. Asri, D. Kazakov

{"title":"An XGBoost Model for Age Prediction from COVID-19 Blood Test","authors":"N. N. Qomariyah, A. A. Purwita, M. S. Astriani, S. Asri, D. Kazakov","doi":"10.1109/ISRITI54043.2021.9702867","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702867","url":null,"abstract":"COVID-19 was declared a pandemic by the World Health Organization (WHO) in January 2020. Many studies found that some specific age groups of people have a higher risk of contracting the disease. The gold standard test for the disease is a condition-specific test based on Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR). We have previously shown that the results of a standard suite of non-specific blood tests can be used to indicate the presence of a COVID-19 infection with a high likelihood. We continue our research in this area with a study of the connection between the patients' routine blood test results and their age. Predicting a person's age from blood chemistry is not new in health science. Most often, such results are used to detect the signs of diseases associated with aging and develop new medications. The experiment described here shows that the XGBoost algorithm can be used to predict the patients' age from their routine blood tests. The performance evaluation is very satisfactory, with $R^{2} > 0.80$ and a normalized RMSE below 0.1.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125806223","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

Efficient Scaling of Convolutional Neural Network for Detecting and Classifying Pneumonia Disease 卷积神经网络在肺炎疾病检测与分类中的高效缩放

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702779

Sofia Sa’idah, I. P. Y. N. Suparta, Syifa Rezki Fauziah

引用次数: 0

Indonesian Clickbait Detection Using Improved Backpropagation Neural Network 印度尼西亚使用改进的反向传播神经网络检测标题党

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702872

Bellatasya Unrica Nadia, Irene Anindaputri Iswanto

{"title":"Indonesian Clickbait Detection Using Improved Backpropagation Neural Network","authors":"Bellatasya Unrica Nadia, Irene Anindaputri Iswanto","doi":"10.1109/ISRITI54043.2021.9702872","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702872","url":null,"abstract":"Clickbait has been considered a problem in the modern age of technology, especially in Indonesia. Various attempts have been made to research clickbait detection, however, researches which use Indonesian data are relatively scarce compared to other languages such as English because the availability of Indonesian datasets are lacking. Backpropagation Neural Network was used in clickbait detection on article's title and has achieved quite good accuracy result, however there is still a chance to improve the accuracy. This paper shows the results of using a modified backpropagation neural network algorithm to detect clickbait using article titles when compared to the standard algorithm. The research compares the results of standard stochastic gradient descent algorithm, mini-batch gradient descent algorithm, and a version of stochastic gradient descent with Adam optimizer and three hidden layers. The results show that using Adam optimizer and three hidden layers in stochastic gradient descent algorithm significantly improves the results compared to the standard architecture. The modified algorithm shows a precision score of 78% and a recall and F1 score of 76%, where the standard algorithm has a precision score of 67% and a recall and F1 score of 66%. The resulting algorithm is then implemented to a desktop application, which is considered easy to use.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114180193","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

Design of Microcontroller-Based Cardiopulmonary Resuscitation (CPR) Practice Tool 基于单片机的心肺复苏术练习工具的设计

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702854

Ratna Aisuwarya, M. H. Hersyah, Pandu C. Darmawan

{"title":"Design of Microcontroller-Based Cardiopulmonary Resuscitation (CPR) Practice Tool","authors":"Ratna Aisuwarya, M. H. Hersyah, Pandu C. Darmawan","doi":"10.1109/ISRITI54043.2021.9702854","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702854","url":null,"abstract":"Cardiac arrest is the leading cause of death in cardiovascular emergencies, both in prehospital and intrahospital events. This case is called out-of-hospital cardiac arrest (OHCA). Quality Cardiopulmonary Resuscitation (CPR) can optimize the return of spontaneous circulation in OHCA. However, many people are not confident in carrying out this procedure, so they need CPR training to respond quickly, responsively, and accurately in assisting OHCA victims. In this study, we will make a tool that resembles the torso and human head and monitor and calculate the parameters that are a factor in the success of the CPR process. The system consists of the compression process, airways process, and breathing process. A microcontroller-based CPR practice tool can function exactly with the CPR process in humans. The designed system can simulate the CPR process by measuring every parameter of CPR, namely compression 30 times in 15–18 seconds with the optimal pressure is ±50kg, 30° angle slope for airways, and two times in 5 seconds for breathing. The design of this tool will provide a more economical solution, making it easier for a relevant public organization to accommodate the tools needed to carry out CPR training so that more people can provide CPR assistance.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131394778","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

A New Approach for ARP Poisoning Attack Detection Based on Network Traffic Analysis 基于网络流量分析的ARP投毒攻击检测新方法

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702860

Yohanes Priyo Atmojo, I. M. D. Susila, Ida Bagus Suradarma, Lilis Yuningsih, Erma Sulistyo Rini, Dandy Pramana Hostiadi

{"title":"A New Approach for ARP Poisoning Attack Detection Based on Network Traffic Analysis","authors":"Yohanes Priyo Atmojo, I. M. D. Susila, Ida Bagus Suradarma, Lilis Yuningsih, Erma Sulistyo Rini, Dandy Pramana Hostiadi","doi":"10.1109/ISRITI54043.2021.9702860","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702860","url":null,"abstract":"Address Resolution Protocol (ARP) is a communication protocol to map the computer's addresses to the Media Access Control (MAC) address. In its implementation, ARP is abused, known as ARP poisoning Attack. The impact of ARP poisoning attacks is a deadlock to communicate on the network, identity fraud from addressing a computer through illegal access to steal important and confidential information. Several ARP poisoning attack detection models have been introduced. Still, they depend on application tools requiring complex configuration and mostly state ARP poisoning attacks as normal activity. In this paper, a model for detecting ARP poisoning attacks is proposed using the K-NN classification. The proposed model has a contribution to the feature extraction process based on network traffic flows analysis. The results show that the proposed model can detect ARP poisoning attacks more accurately than some classification algorithms with a TPR value of 97.67% and a detection accuracy of 98.7%.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797461","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

High Detection of Hydroponic Plant Pak Choy Using Morphological Image Processing 利用形态图像处理技术对水培植物柏菜进行高效检测

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702765

Yusuf Ramatullah, Budhi Irawan, C. Setianingsih

{"title":"High Detection of Hydroponic Plant Pak Choy Using Morphological Image Processing","authors":"Yusuf Ramatullah, Budhi Irawan, C. Setianingsih","doi":"10.1109/ISRITI54043.2021.9702765","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702765","url":null,"abstract":"Hydroponics is a cultivation technique that uses water without using soil by emphasizing nutrients for plants. But in monitoring the height of the plant, people who want to plant hydroponics or who are doing it at home still estimate without knowing exactly, so there are plants whose height is not well monitored. These problems created an idea to create a detection system for plant growth and development to detect height more accurately. Image Processing is a branch of knowledge about image processing processed digitally. The development of technology is speedy in computer vision that makes image processing not only to improve the image alone but also to detect or track an object, read barcodes, and others. The stages of image processing are acquiring images from images, preprocessing, and recognition. The method used in this system is the Morphological Image Processing method. The parameter used is to calculate the height of the Pak Choy hydroponic plant. Using this method, we obtained an accuracy of the system of 93.81% with a light intensity of 15.7 lux. During the 6 weeks of Pak Choy plant growth, the best accuracy was in the 3rd week with an accuracy of 97.24% with an average of 13.65 lux light intensity. The worst accuracy was found in the 2nd week, with an average accuracy of 86.25% at 15 lux light intensity.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132579943","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

COVID-19 Detection Model on Chest CT Scan and X-ray Images Using VGG16 Convolutional Neural Network 基于VGG16卷积神经网络的胸部CT扫描和x线图像COVID-19检测模型

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702839

Shannen Latisha, Albert Christopher Halim, Regan Ricardo, Derwin Suhartono

{"title":"COVID-19 Detection Model on Chest CT Scan and X-ray Images Using VGG16 Convolutional Neural Network","authors":"Shannen Latisha, Albert Christopher Halim, Regan Ricardo, Derwin Suhartono","doi":"10.1109/ISRITI54043.2021.9702839","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702839","url":null,"abstract":"In this pandemic of COVID-19, many people's lives are highly affected in various kinds of aspects. Tests are conducted due to the rising number of infected people, with the PCR test as the current gold standard for many. However, many experts consider the PCR test inaccurate due to the resulting false negative and false positive test results. In order to solve the problem, through this paper, the use of a deep learning model is proposed based on a customized VGG16 CNN as a way to identify the presence COVID-19 virus. The biomarkers used in this paper are X-ray and CT scan images of the lungs. At the end of the research, it can be concluded that both CT scan and X-ray images can be used to detect COVID-19 by using VGG16. However, by comparing the performance of the proposed X-ray and CT scan biomarker-based models, it can be inferred that the X-ray biomarker-based model obtained a higher accuracy score of 97% compared to the CT scan-based model with 93% accuracy. This research proved that the X-ray model got a better score and is a better alternative than CT scan, although both have potential and can be considered accurate alternatives to the PCR tests.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114869056","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

Multi Label Classification Of Retinal Disease On Fundus Images Using AlexNet And VGG16 Architectures 基于AlexNet和VGG16架构的眼底图像视网膜疾病多标签分类

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702817

Reyhansyah Prawira, A. Bustamam, P. Anki

引用次数: 0

Analysis of Short Circuit Current Fault Components on Centralized and Distributed Renewable Energy 集中式和分布式可再生能源短路电流故障分量分析

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702831

L. Gumilar, Mokhammad Sholeh, Stieven Netanel Rumokoy, Dezetty Monika

{"title":"Analysis of Short Circuit Current Fault Components on Centralized and Distributed Renewable Energy","authors":"L. Gumilar, Mokhammad Sholeh, Stieven Netanel Rumokoy, Dezetty Monika","doi":"10.1109/ISRITI54043.2021.9702831","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702831","url":null,"abstract":"One of the assessments for the reliability of the electric power system is the ability to serve the load needs continuously. There are no blackouts because there is an imbalance between the supply of electric power and the needs of the consumer load. The additional loads on the consumer side must be followed by the addition of power plants. Renewable energy is an alternative to increase the supply of electrical energy and does not damage the environment. However, the addition of new power plants can cause an increase in the contribution of short-circuit fault currents. The purpose of this paper is to compare the topology for the addition of renewable energy. The topology used is centralized and distributed generation. The renewable energy used consists of solar farm and wind farm. The best topology is a topology that produces lower short-circuit currents. Short circuit analysis methods used include the analysis of AC transient components, DC components, and AC rms components. Steady state short circuit simulation results show that distributed renewable energy contributes higher fault current than centralized renewable energy. Likewise, in the analysis of fault currents using the transient AC component, DC component, and AC component in rms value method, distributed renewable energy contributes higher fault current peak value than centralized renewable energy.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114970018","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