2022 International Visualization, Informatics and Technology Conference (IVIT)最新文献_第6页

A Mathematical Model to Predict a Coastal Erosion: Case Study Chalathat Beach, Songkhla, Thailand 预测海岸侵蚀的数学模型:以泰国宋卡Chalathat海滩为例

2022 International Visualization, Informatics and Technology Conference (IVIT) Pub Date : 2022-11-01 DOI: 10.1109/IVIT55443.2022.10033328

Sasalak Tongkaw, Pintipa Buadang, Supaporn Prompitak, Kamonnawin Inthanuchit

引用次数: 0

Influencers Selection Model Using Association Rules 使用关联规则的影响者选择模型

2022 International Visualization, Informatics and Technology Conference (IVIT) Pub Date : 2022-11-01 DOI: 10.1109/IVIT55443.2022.10033393

Hilda Alnayef, Munaisyah Abdullah, Mohammad Faizuddin Md Noor

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Covid-19 Epidemic Spread Countermeasures: Malaysian Authorities Experience 新冠肺炎疫情传播对策:马来西亚当局的经验

2022 International Visualization, Informatics and Technology Conference (IVIT) Pub Date : 2022-11-01 DOI: 10.1109/IVIT55443.2022.10033416

Mahmoud Al-shami, Abdulaziz Aborujilah, Rawad Abdulghafor

{"title":"Covid-19 Epidemic Spread Countermeasures: Malaysian Authorities Experience","authors":"Mahmoud Al-shami, Abdulaziz Aborujilah, Rawad Abdulghafor","doi":"10.1109/IVIT55443.2022.10033416","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033416","url":null,"abstract":"The COVID-19 outbreak has resulted in a significant loss of human life around the world, and it poses an extraordinary threat to public health. Almost every government in the world is fighting to stop the disease from spreading. Governments have used harsh measures such as quarantines, lockdowns, social isolation, and movement restrictions. Malaysia reached 22nd place in the Global COVID-19 recovery Index globally. However, the studies that present Malaysia's experiences in countering COVID 19 still very minimum. This study aims to review Malaysia's experience in courting Covid 19 epidemic Spread, the results showed that Malaysian authorities have imposed several measures to encounter covid-19 pandemic such as travel restrictions, movement control, contact tracing, website, and social media, regular press releases, manual contact tracing, contact tracing apps. In fact, the digital contact tracing apps application technology indeed helped Malaysians to slow down the outbreak. It supported policymakers in the suppression of the pandemic and helped in the prevention of any possible wave of the coronavirus outbreak.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543965","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

Information Quality, System Quality and Security in Mobile Marketplace Application – From the Perspectives of Malaysian Textile Cyber-Entrepreneurs 移动市场应用中的信息质量、系统质量和安全——从马来西亚纺织网络企业家的角度

2022 International Visualization, Informatics and Technology Conference (IVIT) Pub Date : 2022-11-01 DOI: 10.1109/IVIT55443.2022.10033326

Wan Safra Diyana Wan Abdul Ghani, Nur Azimah Idris

{"title":"Information Quality, System Quality and Security in Mobile Marketplace Application – From the Perspectives of Malaysian Textile Cyber-Entrepreneurs","authors":"Wan Safra Diyana Wan Abdul Ghani, Nur Azimah Idris","doi":"10.1109/IVIT55443.2022.10033326","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033326","url":null,"abstract":"In recent years, mobile retailing or mobile shopping has been booming and become a norm. The progress in smartphone usage and digital business technologies has sparked the rapid development of the e-commerce industry. Entrepreneurs are seizing the chances to expand their business by selling their products online including in the marketplace applications. To have a better understanding on the current mobile app, the factors influencing e-commerce were studied namely information quality, system quality, and perceived security. This research focused on the perceptions of Malaysian textile cyber-entrepreneurs where 348 questionnaires were analyzed using SPSS. Findings show that the cyber-entrepreneurs are leaning towards using the app because the completeness of information provided there. Next, the functionality and stability in the marketplace app assured them to utilize the app. Meanwhile for perceive security, most of them have confidence in the app’s current level of security. In addition there is only a slight correlation between the three elements studied.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130596632","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 Sentiment Analysis on Mental Health Awareness by Non-Governmental Organisation's Twitter 非政府组织推特对心理健康意识的情感分析

2022 International Visualization, Informatics and Technology Conference (IVIT) Pub Date : 2022-11-01 DOI: 10.1109/IVIT55443.2022.10033345

Rohizah Abd Rahman, Fatin Haziqah Mohamad Zaini, Mohd Shahrul Nizam Mohd Danuri, Azzan Amin

{"title":"The Sentiment Analysis on Mental Health Awareness by Non-Governmental Organisation's Twitter","authors":"Rohizah Abd Rahman, Fatin Haziqah Mohamad Zaini, Mohd Shahrul Nizam Mohd Danuri, Azzan Amin","doi":"10.1109/IVIT55443.2022.10033345","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033345","url":null,"abstract":"The Ministry of Health Malaysia's statistical analysis showed increasing mental health problems among Malaysians. However, Malaysian society’s stigma causes ignorance of mental health problems and lack awareness of the issues. The main purpose of this study was to determine the Malaysian community's awareness of mental health issues using data from the Non-Governmental Organization Twitter. The data were taken from the Twitter application for NGOs related to mental health in Malaysia. NGOs often disseminate information such as health statistics, causes, and ways to manage mental health on their Twitter application. The data collected from the Twitter API application require permission and application from Twitter even though the data are accessible publicly. The study was implemented using experimental methods from which the sentiment analysis is an appropriate way to study the Malaysian community's awareness of mental health problems. A few experiments were conducted, such as data collection, preprocessing, Sentiment Analysis, machine learning techniques, Support Vector Machine (SVM), Neural Network (NN), and Naive Bayes (NB). The analysis showed that each NGO's total number of positive tweets was more than the number of negative snippets. The analysis of machine learning using the three techniques showed the highest percentage of positive data for Precision, Recall, and F1-Score. Therefore, the awareness of mental health problems should be created using more positive text posts by the NGOs on social media to educate people.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197676","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