Turkish Journal of Computer and Mathematics Education最新文献

英文中文

Effect of communication on employee performance in the middle of pandemic covid-19 新冠肺炎大流行期间沟通对员工绩效的影响

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3156

D. Agustriyana, M. Saudi, O. Sinaga

Communication is something that can never be separated from a person's life. Communicating well will help achieve goals. The communication that will be discussed here is the importance of good communication in the office environment, as well as how it affects employees. Sometimes people don't pay much attention to communication, but actually without good communication, work in the office will be hampered. The flow of communication in the office has vertical and horizontal flows. Vertical flow is the flow of communication carried out from superiors to subordinates or vice versa, while horizontal flow is the flow of communication carried out with colleagues or equivalent. What includes communication in the vertical flow is orders, tasks, suggestions, opinions, and complaints, while what includes horizontal communication is sharing feelings, and solidarity of cooperation.This study aims to determine and see the effect of good communication on improving employee performance, especially in the office. This research uses library research method. The office is a place for data processing activities so that it becomes more useful information, while performance is the result of work or how the work process takes place. From the data that has been collected, it explains that communication has a very meaningful relationship for employees. Because if the information is conveyed properly, the employees will carry out their duties well too. © 2021 Karadeniz Technical University. All rights reserved.

沟通是一个人的生活中永远离不开的东西。良好的沟通有助于实现目标。这里将讨论的沟通是良好沟通在办公室环境中的重要性，以及它对员工的影响。有时人们不太注重沟通，但实际上如果没有良好的沟通，办公室的工作就会受到阻碍。办公室的沟通有纵向和横向两种。纵向流是从上级到下级或从下级到下级的沟通流，而横向流是与同事或同等人员的沟通流。纵向交流包括命令、任务、建议、意见和抱怨，横向交流包括分享感受和团结合作。本研究旨在确定并观察良好沟通对提高员工绩效的影响，尤其是在办公室。本研究采用图书馆研究的方法。办公室是数据处理活动的场所，因此它可以成为更有用的信息，而绩效是工作的结果或工作过程的发生方式。从收集的数据来看，它解释了沟通对员工来说是一种非常有意义的关系。因为如果信息传达得当，员工也会很好地履行职责。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 0

Indonesia-australia comprehensive economic partnership agreement (iacepa) in economic recovery during the covid-19 period 新冠肺炎疫情期间印尼-澳大利亚全面经济伙伴关系协定(iacepa)在经济复苏中的作用

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2908

D. F. Moenardy, S. Sutantri, G. N. Alam, D. Saputera

This article intends to explain the impact of the IA-CEPA agreement in restoring economic conditions during the Covid-19 period, especially in the fields of trade, investment, health and tourism. IA-CEPA, which takes effect from 5 July 2020, is a comprehensive partnership between Indonesia - Australia in the fields of trade in goods, investment, services, and also economic cooperation. This research is qualitative in nature by collecting data through literature study. The analysis knife in this research is international cooperation and bilateral relations. Apart from discussing trade in goods, the IA-CEPA agreement also encourages strategic partnerships in the fields of investment, economy, health, increasing labor capacity, trade in services, transportation, tourism and so on. The results of this study conclude that the IA-CEPA made a real contribution to economic recovery during the Covid-19 period. In the investment and trade sector, Australia provides loans to Indonesia to help the business world. In the health sector, cooperation is focused on the production of masks, medical devices and medical personnel. Meanwhile, in the field of tourism, the two countries are trying to increase the return of tourist visits by still paying attention to health, safety and tourism needs. Thus, the signing of the IA-CEPA illustrates the realization of good bilateral relations in which the two countries contribute to economic recovery during the Covid-19 period. © 2021 Karadeniz Technical University. All rights reserved.

本文旨在解释IA-CEPA协议在2019冠状病毒病期间对恢复经济状况的影响，特别是在贸易、投资、卫生和旅游领域。IA-CEPA将于2020年7月5日生效，是印尼与澳大利亚在货物贸易、投资、服务和经济合作等领域的全面伙伴关系。本研究采用文献研究法收集资料，属质性研究。本研究的分析刀是国际合作与双边关系。除讨论货物贸易外，《IA-CEPA协定》还鼓励双方在投资、经济、卫生、提高劳动力能力、服务贸易、交通运输、旅游等领域建立战略伙伴关系。研究结果表明，在新冠肺炎疫情期间，IA-CEPA对经济复苏做出了实实在在的贡献。在投资和贸易领域，澳大利亚向印尼提供贷款，帮助商界发展。在卫生部门，合作重点是生产口罩、医疗设备和医务人员。同时，在旅游领域，两国仍在关注健康、安全和旅游需求，努力提高游客回访率。因此，IA-CEPA的签署标志着两国在新冠肺炎疫情期间实现了为经济复苏做出贡献的良好双边关系。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 1

E-voting system using blockchain with network security 使用区块链和网络安全的电子投票系统

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.2762

S. Ravikumar, K. A. Kumar, V. Sathana

Bitcoin presents a progressive decentralized agreement system. Be that as it may, Bitcoin-determined agreement instruments connected to open blockchain are deficient for the organization's situations of maturing group blockchain. We have proposed an agreement calculation named as Proof of Vote (POV). The agreement is enabled by the circulating hubs managed by community accomplices, who will go through voting to a collective statement. The main concept is to build up different security characters to organize members, with accommodation target. Furthermore, confirmation of the squares is chosen by the organizations' voting in the class without relying upon an outsider middle person or then again wild open mindfulness. Contrasted and the completely decentralized consensus-Proof of Work (POW), POV has controllable security, joining dependability, a single square affirmation to achieve conclusiveness of the exchange, and a low-delay confirmation time for the exchange.Even during difficult times like a pandemic situation like Covid 19 and apocalyptic conditions, elections can happen as usual without any disturbance. © 2021 Karadeniz Technical University. All rights reserved.

比特币是一种渐进的去中心化协议体系。尽管如此，与开放区块链相关的比特币决定的协议工具对于该组织成熟的区块链组的情况是缺乏的。我们提出了一种称为投票证明(POV)的协议计算。该协议是由社区共犯管理的循环中心实现的，这些共犯将通过投票来达成集体声明。主要的理念是建立不同的安全字符来组织成员，有住宿目标。此外，正方形的确认是由组织在课堂上的投票来选择的，而不依赖于一个局外人的中间人，也不依赖于狂野的开放意识。与完全去中心化的共识——工作量证明(POW)相比，POV具有可控的安全性、加入可靠性、单方确认实现交易的结实性、低延迟的交易确认时间。即使在像Covid - 19这样的大流行病和世界末日这样的困难时期，选举也可以像往常一样不受干扰地进行。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 1

Analysis of the impact of the covid 19 pandemic on online marketing at small and medium enterprises (msmes) 新冠肺炎疫情对中小企业网络营销的影响分析

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2835

S. D. Herawati, D. Roespinoedji, M. Saudi

This study aims to analyze the impact of the COVID 19 pandemic on online marketing for Micro, Small and Medium Enterprises (MSMEs). The research method used in this research is descriptive analysis and is included in the type of library research. The output of this research is national and international journals. This research is expected to increase the growth of MSMEs through online marketing.The results of a literature review conclude that the corona virus pandemic has had a significant impact on business actors around the world, including in Indonesia. Most business actors are forced to stop their business activities, because of policies issued by the government. This situation has an impact on reducing turnover. But on the other hand there is a significant increase in online sales transactions so that it can become an opportunity for the growth of MSMEs by optimizing online marketing. © 2021 Karadeniz Technical University. All rights reserved.

本研究旨在分析COVID - 19大流行对中小微企业(MSMEs)在线营销的影响。本研究采用的研究方法是描述性分析，属于图书馆研究的范畴。这项研究的成果在国内和国际期刊上发表。该研究有望通过网络营销促进中小微企业的增长。文献综述的结果表明，冠状病毒大流行对包括印度尼西亚在内的世界各地的商业行为者产生了重大影响。由于政府发布的政策，大多数商业参与者被迫停止他们的商业活动。这种情况对减少人员流动率有影响。但另一方面，网络销售交易显著增加，通过优化网络营销，可以成为中小微企业成长的契机。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 2

An exploratory study to assess stakeholder's perception for new online teaching-learning environment during covid-19 新冠肺炎期间评估利益相关者对新在线教学环境的认知的探索性研究

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3687

Suresh Kumar, A. Mishra, H. Jain, V. Athavale

Certain events bring unprecedented changes for the way things take place in our life. Spread of COVID-19 has brought a paradigm shift in a similar manner to the way we learn things and has dramatically altered the teaching learning process. Like any other tool, online learning was considered to be a supporting hand for augmenting the teaching learning experience by making the learning process more interactive and participative. COVID-19 has made online teaching as the sole mode for teaching learning for students and teachers. Without any doubt, when we run out of options only then we can ascertain the true facets of something. It can also be applied to evaluate the effectiveness of online teaching over traditional teaching. The present study is an endeavor to assess the stakeholder's perception for this new teaching learning environment which has emerged during this unprecedented situation. Respondents were selected using stratified judgment sampling method. 120 respondents from Delhi NCR were interviewed using structured questionnaire. Statistical tools like factor analysis, cross tabulation, t-test and discriminant analysis were used for data analysis. Factor analysis led to formation of dimensions namely awareness related to online teaching learning process, perception for decisions taken by higher education bodies, impact of pandemic on economic conditions and subsequent attendance and effectiveness of online classes. Further two-group discriminant analysis was applied to find out association among predictors and effectiveness of online learning. It was observed that awareness related to online teaching learning process, perception for decisions taken by administration, impact of pandemic on economic conditions, attendance, socio-economic background were prominent factors which significantly affect the respondent's perception for effectiveness of online classes. © 2021 Karadeniz Technical University. All rights reserved.

某些事件给我们的生活方式带来了前所未有的变化。新冠肺炎的传播以类似的方式给我们的学习方式带来了范式转变，并极大地改变了教学过程。与任何其他工具一样，在线学习被认为是通过使学习过程更具互动性和参与性来增强教学体验的辅助手段。新冠肺炎使在线教学成为学生和教师唯一的教学模式。毫无疑问，当我们没有选择的时候，只有这样我们才能确定事情的真实方面。它还可以用于评估在线教学相对于传统教学的有效性。本研究旨在评估利益相关者对这一前所未有的新教学环境的看法。受访者采用分层判断抽样法进行选择。来自德里NCR的120名受访者接受了结构化问卷调查。数据分析使用了因子分析、交叉表、t检验和判别分析等统计工具。因素分析导致了维度的形成，即与在线教学过程相关的意识、对高等教育机构决策的感知、疫情对经济状况的影响以及随后在线课程的出勤率和有效性。进一步应用两组判别分析来找出在线学习的预测因素和有效性之间的关联。据观察，与在线教学过程相关的意识、对行政部门决策的看法、疫情对经济状况的影响、出勤率、社会经济背景是显著影响受访者对在线课程有效性看法的主要因素。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 0

Topic modeling and sentimental analysis of tweets on COVID19 to find the weightage of the popular hashtag 对covid - 19推文进行主题建模和情感分析，找出热门标签的权重

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3612

J. Jeyasudha, G. Usha

The Hashtags plays a vital role in the social media and it is easily highlighted by each and every people when they tag it for their own views. Marketing and advertisement is booming so that to make their products work through the views of the normal or common people. Sometimes they use the false content for their publicity and misleading the people. In this paper, the covid19 tweets are taken for finding out the popular hashtags using the correlation techniques like pearson, spearman and kendall rank correlation. The Covid19 hashtag is more popular with the correlation coefficient and sentimental analysis of the tweet than coronovirus tag. To justify the popularity, the weightage’s of the hashtag is found out by applying the topic modeling. In that the coronovirus tag is having more weightage than Covid19 tag. © 2021 Karadeniz Technical University. All rights reserved.

标签在社交媒体中扮演着至关重要的角色，当每个人标记自己的观点时，它很容易被每个人突出。市场营销和广告正在蓬勃发展，以使他们的产品通过正常或普通人的观点。有时他们利用虚假内容进行宣传，误导人们。在本文中，使用pearson, spearman和kendall秩相关等相关技术，将covid - 19推文用于找出流行的标签。从推文的相关系数和情感分析来看，“covid - 19”标签比“冠状病毒”标签更受欢迎。为了证明该标签的受欢迎程度，通过应用主题建模来确定该标签的权重。因为冠状病毒标签比covid - 19标签具有更大的权重。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 3

Prediction of COVID-19 using hyperparameter optimized convolutional neural network 基于超参数优化卷积神经网络的COVID-19预测

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3100

S. Saranya, R. Rajalaxmi, S. Mohanapriya, S. Prasida, P. Nithyalaxmi, J. Revathi

All over the world, there are heavy cases of COVID-19 patients those exhibiting the symptoms. In a very short period of time, this pandemic virus has become drastic across the country. A fast detection of corona spread is necessary for both the infected and uninfected person for the further spreading. The preexisting techniques used methods like Linear Regression, Support Vector Machine (SVM) and Naive Bayes are not producing better results. Our aim is to bring out better outcomes and to produce good accuracy. Instead of machine learning we opt for deep learning approaches in our work. Image preprocessing will be done by Histogram Equalization algorithm and further the image classification is done by Convolution Neural Network (CNN) architectures such as VGG-16 and ResNet-50 by using 350 images of X-ray datasets. From the comparison, VGG-16 produce better train and test accuracy of 92% and 98.4% .Hence the accuracy of VGG-16 was further tuned using Hyper Parameter Optimization using Tensor Board which produces better outcomes. © 2021 Karadeniz Technical University. All rights reserved.

在世界各地，都有大量新冠肺炎患者出现症状。在很短的时间内，这种新冠病毒在全国范围内变得非常严重。对于感染者和未感染者来说，快速检测电晕传播对于进一步传播是必要的。先前使用的技术，如线性回归、支持向量机（SVM）和朴素贝叶斯，并没有产生更好的结果。我们的目标是带来更好的结果，并产生良好的准确性。我们在工作中选择了深度学习方法，而不是机器学习。图像预处理将通过直方图均衡算法完成，并且进一步通过卷积神经网络（CNN）架构（例如VGG-16和ResNet-50）通过使用350个X射线数据集的图像来完成图像分类。通过比较，VGG-16产生了92%和98.4%的更好的训练和测试精度。因此，使用张量板的超参数优化对VGG-16的精度进行了进一步调整，产生了更好的结果。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 0

Image analysis on individual identification of face mask monitoring using convolutional neural network 基于卷积神经网络的人脸监控个体识别图像分析

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.2768

V. Pellakuri, N. Kolipakula, P. S. V. Lakshmi, P. P. Kumar, R. B. Pasumarthi

Every person must put on a mask in this COVID-19 pandemic to protect himself. It came to practice that in the crowd of people wearing the mask in most public conventions such as Malls, Theatres, Parks. Whether or not a person with a mask is studying artificial intelligence. This study uses 7 deep learning algorithms that are highly used for real-time applications and the TensorFlow framework in the OpenCV library for model building through CNN in the Convolutionary neural network for face mask detection method. Through this model, every individual has emerged before they can join the public collecting the software 8 to search . To collect the data and evaluate the related features for the creation of a CNN prototype model to apply pre-processing concepts. To predict the outcomes of data using neural convolution networks and to visualize the results by building a dashboard in the Tableau open source visualization tool. © 2021 Karadeniz Technical University. All rights reserved.

在COVID-19大流行期间，每个人都必须戴上口罩来保护自己。在商场、剧院、公园等公共场所，戴着口罩的人群越来越多。戴口罩的人是否在研究人工智能。本研究使用实时应用中使用较多的7种深度学习算法和OpenCV库中的TensorFlow框架，在卷积神经网络中通过CNN进行模型构建，用于人脸检测方法。通过这种模式，每个个体在加入公众收集软件进行搜索之前就已经出现了。收集数据并评估相关特征，用于创建CNN原型模型，应用预处理概念。使用神经卷积网络预测数据的结果，并通过在Tableau开源可视化工具中构建仪表板来可视化结果。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 0

4 financial distress models for analysis of companies before and during the covid-19 pandemic: Surveys in automotive companies in indonesia 用于分析2019冠状病毒病大流行之前和期间公司的4个财务困境模型:对印度尼西亚汽车公司的调查

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2938

Andina Nur Fathonah, Hesty Juni Tambuati Subing, Diah Andari, Yati Mulyati

It is undeniable that the influence of Covid-19 has hit all directions, from upstream to downstream. One of the sectors that has really felt the impact of Covid-19 is the automotive sector, especially since the implementation of the PSBB. Automotive manufacturers must close their production facilities as long as the government has not granted a permit. This is in line with the weakening public purchasing power for automotives. It took a long time for the automotive industry to emerge from the slump of this pandemic. © 2021 Karadeniz Technical University. All rights reserved.

引用次数: 1

New normal quality of life according to dhamma principle in COVID-19 pandemic crisis in Khwao Sinrin District municipality, Surin Province 素林省Khwao Sinrin区市新冠肺炎大流行危机中根据dhamma原则的新正常生活质量

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3767

P. S. Yanatharo, O. Piyasakulkiat, P. Panyasudhammanites, P. Y. Thongjunra, L. Kongduangdee

The purposes of this research were 1) to study the adaptation in COVID-19 Pandemic Crisis in Khwao Sinrin district municipality, Surin province, 2) to study problems and obstacles in the adaptation in this area, and 3) to study ways to improve the quality of life in New Normal according to Buddhist principles in COVID-19 Pandemic Crisis in this area. Mixed methods research was used for research design. Quantitative research by handing out questionnaires from a sample of 375 persons. Qualitative research was used in-depth interviews with 10 key informants and the group discussion with 8 samples. The statistics used include frequency, percentage, average, and standard deviation. Results indicated that 1) the adaptation in COVID-19 pandemic crisis in Khwao Sinrin district municipality, Surin province found that people pay attention to maintaining cleanliness, refraining from unnecessary activities, and be cautious to live in carelessness. Recognizing public policy on prevention treatment and awareness of the seriousness of COVID-19, and being vigilant in social coincide and being able to advantage communication technology innovations, 2) the problems and obstacles the adaptation in this crisis found that people were concerned with the dangers and severity of pathogens, stress. People confused with many information, and 3) the ways to improve life’s qualities in new normal according to Buddhist principles in this crisis found that the self-development by having a good relationship with the environment and with others as well as to adaptation of working life with honesty and aptitude for living in a society with peacefully.. © 2021 Karadeniz Technical University. All rights reserved.

本研究的目的是:1)研究苏林省花新林区市在新冠肺炎大流行危机中的适应情况;2)研究该地区在新冠肺炎大流行危机中的适应问题和障碍;3)研究该地区在新冠肺炎大流行危机中根据佛教原则改善新常态生活质量的方法。采用混合方法进行研究设计。通过从375人的样本中发放问卷进行定量研究。质性研究采用深度访谈法对10名关键线人进行访谈，并对8个样本进行小组讨论。使用的统计信息包括频率、百分比、平均值和标准差。结果表明:1)苏林省花新林区市在应对新冠肺炎大流行危机中发现，人们注意保持清洁，避免不必要的活动，谨慎生活在粗心大意中。认识到预防治疗的公共政策和对COVID-19的严重性的认识，并在社会上保持警惕，并能够利用通信技术创新;2)在这场危机中适应的问题和障碍发现，人们关注病原体的危险和严重性，压力。3)在这场危机中，根据佛教的原则提高新常态下的生活品质的方法发现，通过与环境和他人建立良好的关系来发展自我，以诚实和能力适应工作生活，以和平地生活在社会中。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 0

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