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Classification of Mask Use during a Pandemic using the CNN Algorithm with Voice Notifications 使用带有语音通知的CNN算法对大流行期间口罩使用情况进行分类
Edutran Computer Science and Information Technology Pub Date : 2023-03-13 DOI: 10.59805/ecsit.v1i1.16
Ryan Gusti Nugraha, Ahmad Fauzi, Anis Fitri Nur Masruriyah, B. Priyatna, Firman Nurdiansyah
{"title":"Classification of Mask Use during a Pandemic using the CNN Algorithm with Voice Notifications","authors":"Ryan Gusti Nugraha, Ahmad Fauzi, Anis Fitri Nur Masruriyah, B. Priyatna, Firman Nurdiansyah","doi":"10.59805/ecsit.v1i1.16","DOIUrl":"https://doi.org/10.59805/ecsit.v1i1.16","url":null,"abstract":"Various technologies were created to prevent the threat of the Covid-19 virus, which has spread in many countries including Indonesia. One of them is the use of masks in public places. With this in mind, this study aims to detect facial objects. Based on the Kaggle website, the object used for research is a human face in 2D form. This research consists of two stages, namely creating and testing a model. The model is a system that detects and classifies faces with masks, inappropriate masks and without masks. Then the model is tested for its accuracy. The result of thirty trials, the model has an accuracy of 99% which is tested using a webcam in real time. This model has a sound indicator which is a notification to faces using the Convolutional Neural Network (CNN) algorithm method.","PeriodicalId":202727,"journal":{"name":"Edutran Computer Science and Information Technology","volume":"49 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130586358","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
Mask Use Detection in Public Places Using the Convolutional Neural Network Algorithm 基于卷积神经网络算法的公共场所口罩使用检测
Edutran Computer Science and Information Technology Pub Date : 2023-03-13 DOI: 10.59805/ecsit.v1i1.10
Mochamad Yoga Wibowo, Hanny Hikmayanti, Anis Fitri Nur Masruriyah, Elfina Novalia, Nono Heryana
{"title":"Mask Use Detection in Public Places Using the Convolutional Neural Network Algorithm","authors":"Mochamad Yoga Wibowo, Hanny Hikmayanti, Anis Fitri Nur Masruriyah, Elfina Novalia, Nono Heryana","doi":"10.59805/ecsit.v1i1.10","DOIUrl":"https://doi.org/10.59805/ecsit.v1i1.10","url":null,"abstract":"With the corona virus which has become a world pandemic. Currently doing activities in public places, the use of masks is very necessary, the reason this mask needs to be considered because masks play an important role in preventing the virus from entering the body. Coupled with the continued increase in the spread of the coronavirus, of course, masks are very important to use. Various technologies are designed to break the chain of the spread of Covid-19 which has spread to various countries including Indonesia. Based on the problems described, this study aims to detect objects in images that use masks and do not use masks. This research consists of three stages: data collection, training, and testing of a model. The model here is helpful for mask detection to detect and classify faces with masks and without masks. Next, the model will be tested for its accuracy. The accuracy obtained was 99% tested using a webcam in real time. The algorithm used is the Convolutional Neural Network (CNN) with preprocessing techniques.","PeriodicalId":202727,"journal":{"name":"Edutran Computer Science and Information Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133580460","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
Prediction Model for Covid-19 Cases in Indonesia Using Linear Regression and Polynomial Regression Methods 基于线性回归和多项式回归方法的印度尼西亚Covid-19病例预测模型
Edutran Computer Science and Information Technology Pub Date : 2023-03-13 DOI: 10.59805/ecsit.v1i1.4
Amid Rakhman, Y. Cahyana, Rahmat, Tukino, Syahroni Wahyu Iriananda
{"title":"Prediction Model for Covid-19 Cases in Indonesia Using Linear Regression and Polynomial Regression Methods","authors":"Amid Rakhman, Y. Cahyana, Rahmat, Tukino, Syahroni Wahyu Iriananda","doi":"10.59805/ecsit.v1i1.4","DOIUrl":"https://doi.org/10.59805/ecsit.v1i1.4","url":null,"abstract":"The World Health Organization on March 11, 2020, declared Coronavirus Disease 2019 (Covid-19) a pandemic. Covid-19 is a disease caused by a new type of coronavirus, namely Sars-CoV-2, which affects the respiratory system. Until now, positive confirmed cases of Covid-19 in Indonesia are still occurring every day. This study aims to predict the addition of Covid-19 cases in Indonesia. The data is sourced from the public API page covid19.go.id in the form of an additional number of Covid-19 cases in Indonesia by 122 lines of data. Predictions are made using linear regression and polynomial regression methods as comparisons. Evaluation of the linear regression method obtains a value of R2 = 0.57, while the polynomial regression method obtains a value of R2 = 0.84. Based on these evaluations, the polynomial regression method yields better results than the linear regression method. The prediction of Covid-19 cases in Indonesia from January to March 2022 using the polynomial regression methods predicts that the addition of Covid-19 cases will rise again.","PeriodicalId":202727,"journal":{"name":"Edutran Computer Science and Information Technology","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115375710","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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