2022 2nd International Conference on Information Technology and Education (ICIT&E)最新文献_第3页

The Effect of the Numbers Lotto Media on the Ability of Simple Arithmetic in the Children with Intellectual Disability 数字乐透媒体对智力障碍儿童简单算术能力的影响

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759874

Dwi Sukma Wijayanti, W. Hastuti, Usep Kristiawan

引用次数: 0

Usability Testing of Developed Virtual Reality Environment to Enhance Communication Skills for Children with Low Functioning Autism Spectrum Disorder 开发虚拟现实环境提高低功能自闭症谱系障碍儿童沟通技巧的可用性测试

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759890

Ahsan Romadlon Junaidi, Muchamad Irvan, Joko Yuwono, Dimas Arif Dewantoro, Yovie Alamsyah, Nur Wagis Mulyawati

{"title":"Usability Testing of Developed Virtual Reality Environment to Enhance Communication Skills for Children with Low Functioning Autism Spectrum Disorder","authors":"Ahsan Romadlon Junaidi, Muchamad Irvan, Joko Yuwono, Dimas Arif Dewantoro, Yovie Alamsyah, Nur Wagis Mulyawati","doi":"10.1109/ICITE54466.2022.9759890","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759890","url":null,"abstract":"The development of communication skills in children with low function autism spectrum disorders (LFA) requires a structured environment and systematic repeated practice. The development of a virtual environment is a solution to overcome the difficulties of creating a structured environment that stimulates the emergence of communication events, both verbal and nonverbal. The research participants were five children diagnosed with low-functioning autism spectrum disorders, aged between 15–21 years. Through structured observation and self-talk, observations were made on the subject's behavior while using the application of VR-Kids Communication. In this study, five participants attended three intervention session. Two participants used HMD consistently, two participants used HMD only in the last session and one participant used smart phones without HMD. Comfortability of using the application, objects readability, ease to Follow VR activities, which are considered effective, and recognition of nonverbal expressions and response to verbal expressions are considered quite effective. The ability of participants to understand the simple commands determine the level of ease to use the application of VR-Kids Communication.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117051036","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: 2

The Relationship of Corporate Social Responsibility, Brand Trust and Electronic Word of Mouth 企业社会责任、品牌信任与电子口碑的关系

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759898

Nguyen Thi Phuong Thao, Lung Thi Kieu Oanh, Bui Thanh Khoa

引用次数: 1

Digital Image Segmentation of Chicks Flock Using Clustering Method on Fog Computing Network 基于雾计算网络聚类方法的雏鸡群数字图像分割

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759871

Wiwit Agus Triyanto, Arifin Setiawan, Aji Setiawan, B. Warsito, A. Wibowo

引用次数: 1

Deep Learning in Image Classification using VGG-19 and Residual Networks for Cataract Detection 基于VGG-19和残差网络的深度学习图像分类用于白内障检测

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759886

Ahmad Bondan Triyadi, A. Bustamam, P. Anki

{"title":"Deep Learning in Image Classification using VGG-19 and Residual Networks for Cataract Detection","authors":"Ahmad Bondan Triyadi, A. Bustamam, P. Anki","doi":"10.1109/ICITE54466.2022.9759886","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759886","url":null,"abstract":"Cataracts are often touted as the number one cause of blindness in Indonesia. In fact, referring to data from the World Health Organization (WHO), cataracts account for about 48% of blindness cases in the world and are number one in Indonesia. The research that has been done on cataracts is classified through various objects such as blood vessels, optic disc, the object used is the optical disk in the retinal fundus camera image. The purpose of this study is to produce an automatic cataract early detection application program by classifying cataracts into two categories, normal cataracts, and cataracts. Early examination of cataract patients for people who have less economic capacity such as most of the population in developing countries is considered very helpful. Classification is needed to assist doctors in deciding when to operate on cataract patients. Processing of 1088 patient retinal fundus image data consisting of 500 normal retinal images and 594 cataract images. Furthermore, the classification process is carried out using VGG-19, ResNet-50 and ResNet-101 which is processed with Jupyter Notebook. From the results of training and testing, the average accuracy of VGG19 is 91.06%, ResNet-50 93,50% and ResNet-101 is 93,50% in all retinal classes.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128125058","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: 5

Technology Utilization of Quipper School in Children's Literature Learning during COVID-19 Pandemic Era to Increase Reading Interest in Elementary School 新型冠状病毒大流行时期Quipper学校在儿童文学学习中的技术应用提高小学生阅读兴趣

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759878

Muh. Arafik, Yohanes Kuriawan Barus, A. Nisa, Nur Wiarsih

{"title":"Technology Utilization of Quipper School in Children's Literature Learning during COVID-19 Pandemic Era to Increase Reading Interest in Elementary School","authors":"Muh. Arafik, Yohanes Kuriawan Barus, A. Nisa, Nur Wiarsih","doi":"10.1109/ICITE54466.2022.9759878","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759878","url":null,"abstract":"One of the basic problems experienced by teachers, parents, and students due to the impact of COVID-19 is the adaptation of learning methods for students which requires the use of technology as a learning medium. This study aims to describe the use of Quipper School in learning children's literature in the era of the COVID-19 pandemic to increase the reading interest of elementary school students. The method used in this study is a qualitative method, this method examines a group of people, a set of conditions or a class of events which is then analyzed to interpret the data obtained by solving problems and a relevant final phenomenon. This research will provide an overview of the problems or phenomena that occur in the Laboratory Elementary School, State University of Malang. The informants in this study were 47 students. The data collection techniques were carried out by means of observation, interviews and documentation. The findings obtained in this study are empirical data regarding the use of Quipper School in learning children's literature in the era of the COVID-19 pandemic to increase interest in reading. The use of Quipper School has a positive impact on increasing students' interest in reading. The increase in students' reading interest is shown by understanding the content of the text in each material presented, better independent reading activities, critical thinking skills in responding to the content of the text.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134454829","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

Implementation of Design Learning Based Web Model in Pre-service Elementary School Teachers 基于Web的设计学习模式在职前小学教师中的实施

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759555

M. Anas Thohir, Esti Untari, Sukamti, Erif Ahdhianto, A. Desstya

{"title":"Implementation of Design Learning Based Web Model in Pre-service Elementary School Teachers","authors":"M. Anas Thohir, Esti Untari, Sukamti, Erif Ahdhianto, A. Desstya","doi":"10.1109/ICITE54466.2022.9759555","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759555","url":null,"abstract":"Online learning has a strong trend in learning and learning activities. Unfortunately, the integrated learning design model between pedagogy, content, and web, especially for pre-service elementary school teachers of strong web-based science subjects, is still limited. The purpose of this study is to design and implement the developed model. The design of this model involved four experts from elementary school lecturers, and its application was followed by 114 pre-service elementary school science teachers from two universities. The model has been declared valid and can be used with the Preparation, Isolation, Negotiation, Transformation, Action, and Reflection (PINTAR) steps. By using a mixed study, this research was conducted using various data collection techniques, surveys, interviews, documentation, and tests. The analysis used qualitative and statistical analysis using paired t-test and independent t-test. The results showed that the knowledge of pre-service elementary school teachers increased significantly. This research implies that this model can be used to integrate the web in learning.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134374040","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

Classifying Natural Disaster Tweet using a Convolutional Neural Network and BERT Embedding 使用卷积神经网络和BERT嵌入对自然灾害推文进行分类

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759860

Lucas Satria Aji Dharma, E. Winarko

{"title":"Classifying Natural Disaster Tweet using a Convolutional Neural Network and BERT Embedding","authors":"Lucas Satria Aji Dharma, E. Winarko","doi":"10.1109/ICITE54466.2022.9759860","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759860","url":null,"abstract":"Social media platforms have become a medium to find a vast source of information throughout the internet. Twitter has become one of the more popular microblogging platforms out there, and the more users there are in these platforms means the more various types of information can be sent out in a day. On Twitter users are able to write their expression in the form of tweets, this will then create a post on twitter's timeline and other users are able to see these tweets. If a tweet suddenly gets viral, Twitter will put the user's tweets into the trending page allowing even more users to view the said tweet. During an event of a natural disaster often a lot of the tweets that are being posted, have mention of the disaster making it a trending topic on Twitter. From this, a vast number of tweets about a disaster can be collected as data, but not always are the tweets containing information about the disaster. Often there are tweets that use natural disaster words but do not actually talk about the disaster itself, hence are not informative and can be classified as a non-disaster tweet. This research paper aims to propose a system to classify the disaster tweets and the non-disaster tweet during a disaster. The proposed method is based on Convolutional Neural Network (CNN), using a Bidirectional Encoder Representation from Transformers (BERT) as an Embedding. As a comparison, it will then be compared with another embedding method named Word2Vec. The Evaluation result after training and testing of the CNN with BERT embeddings gave the most consistent results attaining accuracy of 97.16% precision of 97.63%, a recall of 96.64, and an f1-score of 97.13% for the model classification.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125905953","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

Robust Data Mining Visualization for Learning Outcomes 学习成果的鲁棒数据挖掘可视化

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759877

Heri Suwignyo, Citra Kurniawan, D. Kuswandi, Karkono, Dewi Ariani

引用次数: 1

Development of E-module Teaching Simulation Tools in SIPEJAR for Teaching Practice of Prospective Teacher Students 面向准教师学生教学实践的SIPEJAR e模块教学仿真工具开发

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759551

T. A. Rini, Ella Nur Irwina

{"title":"Development of E-module Teaching Simulation Tools in SIPEJAR for Teaching Practice of Prospective Teacher Students","authors":"T. A. Rini, Ella Nur Irwina","doi":"10.1109/ICITE54466.2022.9759551","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759551","url":null,"abstract":"Optimizing the practice of teaching simulations for prospective teacher-students is one of the efforts to improve the content, pedagogy, and even the use of technology in learning. This study discusses the development of teaching simulation tools products that are packaged in the form of e-modules. Product development is carried out using the ASSURE model by involving experts, practitioners, and students to test their products in Indonesian language learning courses in elementary schools. The data was collected by using questionnaires and field notes which were processed using quantitative and qualitative descriptive methods. The results of product development show that teaching simulation tools are suitable for use as a medium for learning Indonesian in elementary schools. Packaging in the form of e-module itself is feasible to use in terms of content, format, application, and display. E-module teaching simulation tools can also be applied in the SIPEJAR e-learning at the beginning of the meeting to serve as modeling and provide students' teaching experience before practicing independently.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395622","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