Turkish Journal of Computer and Mathematics Education最新文献

The Existence of Characters on relations between certain intrinsic topologies in certain partially ordered sets 偏序集合中某些内在拓扑关系上特征的存在性

Turkish Journal of Computer and Mathematics Education Pub Date : 2023-04-27 DOI: 10.48047/turcomat/v10i03/01

引用次数: 0

A new approach on some operator theory in certain semi-inner-product space 半内积空间中算子理论的一种新方法

Turkish Journal of Computer and Mathematics Education Pub Date : 2023-04-27 DOI: 10.48047/turcomat/v19i03/01

引用次数: 0

The influence of product innovation and price on customer satisfaction in halodoc health application services during COVID-19 (Survey of HaloDoc app users in Bandung in 2021) 新冠肺炎期间，产品创新和价格对halodoc健康应用服务客户满意度的影响（2021年万隆halodoc应用用户调查）

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-05-10 DOI: 10.17762/TURCOMAT.V12I11.6000

Deden Tarmidi, S. Mardhatillah, F. Masripah, D. Febriyanto, T. Pribadi

引用次数: 3

The technology of mobile banking and its impact on the financial growth during the Covid-19 pandemic in the Gulf region 移动银行技术及其对海湾地区2019冠状病毒病大流行期间金融增长的影响

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-05-04 DOI: 10.17762/TURCOMAT.V12I9.3092

Malik Mustafa

引用次数: 7

Classification of COVID-19 from chest X-ray images using a deep convolutional neural network 利用深度卷积神经网络对胸部X射线图像中的新冠肺炎进行分类

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-25 DOI: 10.17762/TURCOMAT.V12I9.3983

Sanskruti Patel

{"title":"Classification of COVID-19 from chest X-ray images using a deep convolutional neural network","authors":"Sanskruti Patel","doi":"10.17762/TURCOMAT.V12I9.3983","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I9.3983","url":null,"abstract":"The COVID-19 pandemic, also known as the coronavirus pandemic, is one of a major outbreak spreading across many countries around the world. It impacts severely on the health and life of many people all around the world. Medical imaging is a widely accepted technique for the early detection and diagnosis of disease that includes different techniques such as X-ray, computed tomography (CT) scan etc. For diagnosis COVID-19, chest X-ray is the imaging technique that plays an important role. In the recent years, deep neural networks have been successfully applied in many computer vision tasks including medical imaging. In this paper, we have experimented and evaluated DenseNet model for the classification of COVID-19 chest X-ray images. For that, a publicly available dataset contains 6432 chest X-ray images categorizes into 3 classes were used. Transfer learning and fine-tuning is applied for training the three variant of DenseNet model namely DenseNet121, DenseNet169 and DenseNet201. After evaluating the performance, it has been found that DenseNet201 achieved highest validation accuracy i.e. 0.9367 and lowest validation loss i.e. 0.1653 for classification of COVID-19 in chest X-ray images. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49391950","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

Analysis of differences in the productivity of MSMES Sentra Rajut as a pandemic impact of COVID-19 2019冠状病毒病大流行影响下Sentra Rajut中小微企业生产力差异分析

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3211

A. Suhardi, A. R. Prasetia, V. S. Marinda

引用次数: 3

Prediction of COVID Patients using Gated Recurrent Unit Neural Networks 基于门控循环单元神经网络的COVID患者预测

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3076

G. Patra, M. Mohanty

{"title":"Prediction of COVID Patients using Gated Recurrent Unit Neural Networks","authors":"G. Patra, M. Mohanty","doi":"10.17762/TURCOMAT.V12I9.3076","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I9.3076","url":null,"abstract":"Since January 2020 the world has witnessed a new pandemic that has put the humanity at a grave risk. The COVID-19 disease originated from People's Republic of China has affected 215 nations and has put the life and economy to a standstill. In this scenario, it is very important to predict the patients affected by COVID, so that the administration and the health professionals can take suitable decisions regarding enforcing lockdown, creating isolation and medical facilities and other tasks. In this paper deep learning is utilized as a method of prediction of patients in five countries. Day wise prediction is performed for a week for evaluation that can be extended for more time. It is a type of time series prediction method using deep learning approach. Three different methods are used for prediction and have been found excellent result using the Gated Recurrent Units (GRUs). The results obtained by GRUs are very accurate and establish its supremacy over other networks. Thus, it can be used as a tool for prediction of number of COVID-19 patients by the administrators and health officials. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44816396","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

Msmes still exist and benefit in the new normal era Msmes在新常态时代依然存在并受益

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3222

Y. M. Dora, N. Saefudin, A. Sudrajat

{"title":"Msmes still exist and benefit in the new normal era","authors":"Y. M. Dora, N. Saefudin, A. Sudrajat","doi":"10.17762/TURCOMAT.V12I8.3222","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I8.3222","url":null,"abstract":"During the Covid 19 pandemic, MSMEs in Bandung faced very difficult times. Many MSME Actors can not survive or in other words roll out. Various ways are done by MSMEs to stay afloat. One of them is by reducing the workforce and innovating and creativity following the developing conditions. However, there are many obstacles faced by MSMEs in the post-Covid 19 pandemic or the new normal. This is due to significant changes in government regulations and consumer behavior. So that it has an impact on the business run by MSMEs. The government that establishes health protocols to prevent the spread of Covid in every aspect of community activities and the spread of the Covid 19 Virus that still can not be handled makes consumer behavior more selective in choosing and using products. So that consumers only buy products that they need and guaranteed health at affordable prices and more are done online. This is the problem faced by MSMEs where the marketing of their products that have been marketed offline inevitably has to be done online. In addition, the required product quality standards must be guaranteed and safe Covid 19 Virus is a challenge for MSMEs to be strict in the production process activities to reach consumers. Another major problem is the business capital that is needed by MSMEs in running their businesses. The solution of these constraints provides directions and explanations related to the use of Digitalisasi Marketing for the onlinesales process. Control the quality of production and explain how to get Business Capital. The plan of such activities include preparing and implementing briefings and explanations of activities using Digital Marketing, Production Quality Control, and how to obtain Business Capital. This activity was carried out with the aim of keeping MSMEs exist and gaining profit in the New Normal Era. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41995344","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 utilization of digital marketing facing new normals and new consumer behaviors in the COVID-19 pandemic for conventional business players (Umkm) in Indonesia 在新冠肺炎大流行中，印度尼西亚传统商业参与者（Umkm）面临新常态和新消费者行为的数字营销利用

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3189

R. Laksono

{"title":"The utilization of digital marketing facing new normals and new consumer behaviors in the COVID-19 pandemic for conventional business players (Umkm) in Indonesia","authors":"R. Laksono","doi":"10.17762/TURCOMAT.V12I8.3189","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I8.3189","url":null,"abstract":"One of the problems with the low competitiveness of traditional business actors (UMKM) is the limited ability of business actors in marketing. This study aims to provide knowledge of marketing strategies by utilizing information technology through digital marketing in helping the economics of macro, small and medium enterprises (UMKM) in the era of the COVID-19 pandemic. Bandung district, West Java province. Besides, this study aims to optimize the micro, small, and medium business group of garment and sponge sandals which are constrained by marketing and sales as well as the impact of the pandemic Corona Virus Disease (Covid-19). Helping to increase the marginal profit of their business by expanding (expansion) marketing and sales via virtual online. The role of marketing today is not only to deliver the product or service to the hands of consumers but also how the product or service can provide satisfaction to customers by generating profit. Apart from having a role, marketing also has goals related to long-term marketing goals. The goal of marketing is to attract new customers by promising superior value, set attractive prices, distribute products easily, promote effectively and retain existing customers while maintaining the principles of customer satisfaction. Currently, the marketing of a product is supported by internet technology which can expand marketing so that it is expected to be able to reach the widest possible consumer by increasing marginal profit and reducing operational costs so that it can provide competitive prices.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43131390","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 failure mode effect analysis on 3D printing COVID-19 face mask 3D打印新型冠状病毒口罩应用失效模式效果分析

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3242

Didit Damur Rochman, R. R. Margana, Asep Anwar, Rendiyatna Ferdian

{"title":"Application failure mode effect analysis on 3D printing COVID-19 face mask","authors":"Didit Damur Rochman, R. R. Margana, Asep Anwar, Rendiyatna Ferdian","doi":"10.17762/TURCOMAT.V12I8.3242","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I8.3242","url":null,"abstract":"The condition of the Covid 19 virus outbreak in the world, especially in Indonesia in early 2021, is still experiencing an increase, although in terms of the percentage it has decreased compared to before. Health protocols according to WHO recommendations by using masks, washing hands with soap in water flow and social distancing are still implemented even though some people have given vaccine injections. Making masks made by 3 D printers in the Production Systems laboratory at Widyatama University to be distributed to the public still has defects in making these masks. FMEA can be used as a way to reduce product defects in mask production to prevent the Covid-19 virus by using a 3D printer. Each stage of the process must be evaluated and brainstormed to calculate the RPN value of each failure that will result in a defective product. The highest failures were printing stopping in the middle and reducing layer shift and developing a set of work procedures for printing personnel. After applying from FMEA, the number of defective products has decreased since the 8th day of production of Covid-19 masks with this 3D printer. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42447972","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