2021 9th International Conference on Information and Communication Technology (ICoICT)最新文献_第10页

The Preliminary Study on the Perception of Engineering Students on Blended Learning 工科学生对混合式学习认知的初步研究

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527444

Min Chi Low, Chen Kang Lee, M. Sidhu, Zaimah Hasan, Seng Poh Lim, Seng Chee Lim

{"title":"The Preliminary Study on the Perception of Engineering Students on Blended Learning","authors":"Min Chi Low, Chen Kang Lee, M. Sidhu, Zaimah Hasan, Seng Poh Lim, Seng Chee Lim","doi":"10.1109/ICoICT52021.2021.9527444","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527444","url":null,"abstract":"Mechanics Dynamics is an important fundamental course in engineering education. However, this course experiences a high failure rate among engineering students. This may be due to visualization problems associated with static images, complex engineering models, and concept misunderstanding. This paper presents the preliminary research of student perception on the blended learning flipped classroom approach in overcoming their learning difficulties in Mechanics Dynamics course. This pilot study aims to collect the learning difficulties of students in the Mechanics Dynamics and students’ perception of blended learning using flipped classroom approach. A questionnaire has been designed and distributed through an online platform. The sample size is 30 which targets the engineering students in Malaysia’s university who already took the Mechanics Dynamics course in less than five years. The findings are analyzed using a descriptive statistics approach. The initial findings indicate that the visualization problem is the main concern among the students. Although the students show low awareness regarding the blended learning flipped classroom approach, they have a positive attitude towards the element of the blended learning approach to be implemented in their classroom.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123817138","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

Fake News Detection with Hybrid CNN-LSTM 基于CNN-LSTM的假新闻检测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527469

Kian Long Tan, Chin Poo Lee, K. Lim

引用次数: 0

Sentiment Analysis of Ojek Online User Satisfaction Based on the Naïve Bayes and Net Brand Reputation Method 基于Naïve贝叶斯和净品牌声誉法的Ojek在线用户满意度情感分析

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527466

A. Rahmatulloh, Rahmi Nur Shofa, I. Darmawan, Ardiansah

{"title":"Sentiment Analysis of Ojek Online User Satisfaction Based on the Naïve Bayes and Net Brand Reputation Method","authors":"A. Rahmatulloh, Rahmi Nur Shofa, I. Darmawan, Ardiansah","doi":"10.1109/ICoICT52021.2021.9527466","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527466","url":null,"abstract":"Gojek and Grab are the most popular online motorcycle taxis and are often used today in Indonesia, based on Hootsuite's survey. However, it is not yet known how the response from online motorcycle taxi users. So it is necessary to have a sentiment analysis of online motorcycle taxi users whether they are satisfied or dissatisfied with the drivers and Gojek and Grab companies' services. Twitter with 52% active users of all internet users in Indonesia allows users to write various topics so that to find out the level of user satisfaction with Gojek and Grab. Sentiment analysis can be used as a reference for the development of Gojek and Grab services in the future. They measure the level of satisfaction with the Net Brand Reputation (NBR) method from the Naïve Bayes classification results using the rapid miner tool. The rating with accuracy has an accuracy value of 99.80% for Gojek and 99.90% for Grab. This study shows that more tweets have negative opinions compared to positive opinions for Gojek and Grab. Namely 616 positive opinions and 2317 negative opinions for Gojek drivers, 3560 positive opinions and 6419 negative opinions for Gojek Company. 594 positive opinions, and 1866 negative opinions for Grab drivers. As well as 3516 positive opinions and 4407 negative opinions for Grab Companies. So the results of the sentiment analysis of online motorcycle taxi users are dissatisfaction with either the driver or the company.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126948004","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: 3

Sentiment Analysis on Beauty Product Reviews using LSTM Method 基于LSTM方法的美容产品评论情感分析

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527429

Muhammad Rafii Danendra, Y. Sibaroni

引用次数: 0

Linear Regression Model to Predict the Spread of COVID-19 in Tangerang City 新冠肺炎疫情在坦格朗市传播的线性回归模型

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527424

Y. Sudiyono, A. Trisetyarso, Harjanto Prabowo, M. Meyliana

引用次数: 1

An End-to-End Optical Character Recognition Pipeline for Indonesian Identity Card 印尼身份证端到端光学字符识别管道

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527436

Andrea Chandra, Ruben Stefanus

引用次数: 0

Tomato Plant Disease Identification through Leaf Image using Convolutional Neural Network 基于卷积神经网络的番茄叶片图像病害识别

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527425

Aulia Ikvanda Yoren, S. Suyanto

{"title":"Tomato Plant Disease Identification through Leaf Image using Convolutional Neural Network","authors":"Aulia Ikvanda Yoren, S. Suyanto","doi":"10.1109/ICoICT52021.2021.9527425","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527425","url":null,"abstract":"The problem that often occurs in agriculture is about diseases in plants. Plant diseases can result in reduced yields from agricultural production. Therefore, the detection and analysis of plant diseases are critical and should be done as early as possible. Unfortunately, diseases in plants often appear on the leaves, and the characteristics of the affected leaves are very diverse and difficult to distinguish. This phenomenon results in difficulty in the identification of plant diseases automatically. One of the technologies that can be used in identifying leaf problems is digital image processing technology. The plant used as a case study in this research is the tomato plant. Alternaria Solani, Septoria leaf spot, Yellow virus are some of the disorders that tomato plants can experience. These disorders should be classified according to their type. This research designs a system to classify three types of disease experienced by the tomato plant leaves. A dataset of 4400 leaf images is collected and learned to the Convolutional Neural Network (CNN) to classify three tomato plant problems using the Augmentation process. An evaluation using 5-fold cross-validation shows that CNN with augmentation data gives an average accuracy of 97.8% and the highest accuracy of 99.5%. This result is better than the previous methods: AlexNet, Faster R-CNN, and CNN + red green blue (RGB).","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298110","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

Comparative Study of Covid-19 Tweets Sentiment Classification Methods Covid-19推文情感分类方法的比较研究

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527533

U. N. Wisesty, Rita Rismala, Wira Munggana, A. Purwarianti

引用次数: 9

Suitable Knowledge Management Process Implementation: a case study of PT XYZ 适当的知识管理过程实施:XYZ项目的案例研究

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527532

Y. Pratama, D. I. Sensuse, Sofian Lusa, Damayanti Elisabeth, Nadya Safitri, Ghanim Kanugrahan, Bryanza Novirahman

{"title":"Suitable Knowledge Management Process Implementation: a case study of PT XYZ","authors":"Y. Pratama, D. I. Sensuse, Sofian Lusa, Damayanti Elisabeth, Nadya Safitri, Ghanim Kanugrahan, Bryanza Novirahman","doi":"10.1109/ICoICT52021.2021.9527532","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527532","url":null,"abstract":"Some companies nowadays that are not focused on informative technology (IT) development have not yet implemented a knowledge management (KM) process which can be seen from the lack of KM system from the application that they have. This will then lead to the IT division in the company having to deal with struggle in extracting, reading, as well as reviewing many kinds of documents. PT XYZ, or also known as Port Cities Indonesia, is one of the company examples which mainly focused their business on developing open-source enterprise resource planning (ERP) for the other companies. It is expected that implementing one of the perfect knowledge management processes that fit with the company can support the use of maintaining their knowledge due to some integration to its data. The contingency factor theory was used in this study to obtain the KM process needs. Based on the results of interviews with employees from each division involved, this study finds that Socialization for Knowledge Sharing is the most prioritized contingency process with chatting and sharing media to manifest that process.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123276769","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

Understanding Government Reorganization Impact from Knowledge Management Perspective: A Study Case 从知识管理的角度理解政府重组的影响:一个案例研究

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527467

Yulia Sulistyaningsih, Khairiyah Rizkiyah, Sofian Lusa, A. Arief

{"title":"Understanding Government Reorganization Impact from Knowledge Management Perspective: A Study Case","authors":"Yulia Sulistyaningsih, Khairiyah Rizkiyah, Sofian Lusa, A. Arief","doi":"10.1109/ICoICT52021.2021.9527467","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527467","url":null,"abstract":"Reorganization is a common issue that often occurs in Indonesia's government institutions that can increase the risk of losing tacit knowledge and decrease the agility of the institution's public service. Proper knowledge management (KM) supported by adequate Information Technology (IT) can be one of the solutions. However, there is some consideration required to make sure the implementation of KM can be done successfully. This study aims to take the initial step by evaluate the existing KM practice and assess KM implementation readiness using a proposed model in one of the government departments in XYZ institution. This study using questionnaires to collect data while internal experts are involved in validating the questionnaire and confirmed the assessment result. The finding shows that there is still no KM standard or policy applies in the study case, and the readiness has reached the level Not Ready Needs Some Work with a score of 2.909. These findings cannot be claimed applied to all government institutions, but it can be the pilot assessment for the institution, and the highlighted issue can be listed as common factors to beware of in similar institutions' conditions.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123352917","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