2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)最新文献

Deep Learning Approaches to Identify Sukabumi Potentials Through Images on Instagram 通过Instagram上的图像识别Sukabumi潜力的深度学习方法

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664877

Dede Sukmawan, D. Handayani, D. A. Dewi

{"title":"Deep Learning Approaches to Identify Sukabumi Potentials Through Images on Instagram","authors":"Dede Sukmawan, D. Handayani, D. A. Dewi","doi":"10.1109/ICCED53389.2021.9664877","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664877","url":null,"abstract":"Sukabumi Regency is one of the largest regencies on the island of Java. With a large area and a fairly dense population, it creates its own problems, such as in managing the potential of places and communities. The purpose of this research is to explore the potential of Sukabumi Regency through Instagram social media with #sukabumiupdate. Data collection is done by taking pictures from social media Instagram, the data taken is 6,970 images. Each data that has been collected is divided into 4 (four) class categories based on the type of image, namely Tourism class, culture class, culinary class, and handicrafts. Then the data is classified using a deep learning approach with three methods, namely CNN, VGG16, and VGG19. These three models are very good at image processing. From the results of data processing through the CNN approach, the accuracy value is up to 91%, then the VGG16 approach has an accuracy value of 99%, and finally, through the VGG19 approach, the accuracy is 95%. So it can be ascertained that from the three models of the deep learning approach the best accuracy value is VGG16.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81894846","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

Design of Rooftop Photovoltaic System for 30/60- type House in Sukabumi, Indonesia using PVSyst Simulation 基于PVSyst仿真的印尼Sukabumi 30/60型住宅屋顶光伏系统设计

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664792

Mukhlis Ali, Dwi M Lestari, Taufik Rahman

引用次数: 0

Impacts on Individual’s Self-Esteem from the Use of Social Media 社交媒体使用对个体自尊的影响

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664852

Ryan Ahasan Al-Helal, Agung Ginanjar, M. A. Ayu

{"title":"Impacts on Individual’s Self-Esteem from the Use of Social Media","authors":"Ryan Ahasan Al-Helal, Agung Ginanjar, M. A. Ayu","doi":"10.1109/ICCED53389.2021.9664852","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664852","url":null,"abstract":"Social media has been growing in popularity over the past few years. Many activities done in social media platforms, and some of those activities may affect individual’s perception and self-esteem. Changes in self-esteem can affect the way people approaching their lives. This study aims to identify the correlation between some factors related to the use of social media and individual’s self-esteem. Data were collected through survey-questionnaire which was distributed through Google Form. It is found that social comparisons influences individual’s self-esteem. However, this effect differs between males and females. Correlational analysis also show that social comparison’s impacts and behaviors are prominent mainly in females. As well, females who score: higher in Neuroticism tend to socially compare more and are prone to lower self-perception; higher in Extraversion are likely to do social comparison behaviors; and higher in Conscientiousness are likely to have better self-esteem. Overall, time spent on social media, narcissism, and age generally do not influence social comparison, but engagement in life may affect it.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"9 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90776546","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 Influence of Blockchain Technology Factors on the Four Aspects of Organizational Behavior 区块链技术因素对组织行为四个方面的影响

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664862

Surjandy, Meyliana, K. Oktriono, A. W. Kusumaningtyas, G. H. Prakosa

引用次数: 0

Face Mask Detection In The Covid-19 Pandemic Era by Implementing Convolutional Neural Network and Pre-Trained CNN Models 基于卷积神经网络和预训练CNN模型的Covid-19大流行时代口罩检测

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664883

Ivana Lucia Kharisma, R. Handayanto, D. A. Dewi

引用次数: 0

Indonesian Twitter Sentiment Analysis Application on The Covid l9 Vaccine Using Naive Bayes Classifier 基于朴素贝叶斯分类器的印尼Twitter情绪分析在Covid - 19疫苗中的应用

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664864

A. Erfina, Moneyta Dholah Rosita Ndk, Rahmat Hidayat, Aris Subagja, Haerul Ramadhan, C.S.A. Teddy Lesmana, Sudin Saepudin, Muhamad Muslih

{"title":"Indonesian Twitter Sentiment Analysis Application on The Covid l9 Vaccine Using Naive Bayes Classifier","authors":"A. Erfina, Moneyta Dholah Rosita Ndk, Rahmat Hidayat, Aris Subagja, Haerul Ramadhan, C.S.A. Teddy Lesmana, Sudin Saepudin, Muhamad Muslih","doi":"10.1109/ICCED53389.2021.9664864","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664864","url":null,"abstract":"It's even one year since the COVID-19 pandemic hit Indonesia, to anticipate it, the government brought in a COVID-19 vaccine. Various types of COVID-19 vaccine have been introduced to Indonesia, including which ones will be considered the best according to the community through the Twitter platform. One of the venues that creates the most public sentiment is Twitter. It can be determined whether the public fully approves or rejects the existence of vaccination in Indonesia by analyzing public sentiment surrounding the COVID-19 vaccine. Data acquisition using a crawling procedure by connecting the Twitter API, pre-processing, sentiment categorization, and sentiment analysis outcomes are the stages of the sentiment analysis process to become a sentiment analysis application. The PHP and MySQL programming languages are used to create the database for the sentiment analysis application. After the application has been fully implemented, it can do sentiment analysis from each dictionary probability using the Naive Bayes Classifier approach. The study of the two keywords \"vaksin covid\" and \"vaksin corona\" yielded the following results. It has 93% positive sentiment results, 72% negative sentiment results, and 35% neutral sentiment outcomes, with an accuracy of 94.74% and 75.47% per keyword. Meanwhile, the Sinopharm vaccine, which has the most positive attitude with the terms \"vaksin sinovac,\" \"vaksin astrazeneca,\" \"vaksin sinopharm,\" and \"vaksin nusantara,\" has 84 percent tweets with a 74.23% accuracy rate.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91261899","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

Data Quality Management Maturity Model : A Case Study in Higher Education’s Human Resource Department 数据质量管理成熟度模型:以高等教育人力资源部门为例

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664881

Yusuf Setiadi, A. Hidayanto, F. Rachmawati, Adhi Yuniarto Laurentius Yohannes

{"title":"Data Quality Management Maturity Model : A Case Study in Higher Education’s Human Resource Department","authors":"Yusuf Setiadi, A. Hidayanto, F. Rachmawati, Adhi Yuniarto Laurentius Yohannes","doi":"10.1109/ICCED53389.2021.9664881","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664881","url":null,"abstract":"Data has increasingly become more imperative in organization’s decision-making process. Low data quality can cause extensive organizational problems, such as inaccurate decision-making and dropped business possibilities. This is because low-quality data does not present a clear description of the actual situation. In Human Resource (HR) management, low data quality can cause recruitment, career development, remuneration, and retirement processes. Therefore, proper data quality management must be implemented to produce data that suits the organization's needs. To determine how far the implementation of data quality management in the organization, measurement of the maturity level in data quality management is conducted. This study presented an evaluation of data quality management maturity level in HR of higher education, applying the Loshin data quality management maturity framework. The results of this study indicate that the maturity level in the Data quality expectations area is 2.17, the maturity level in the Data quality dimensions area is 2.16, the maturity level in the Policies area is 1.22, the maturity level in the Data quality protocols area is 2, 11, the maturity level in the Data governance area is 1.77, the maturity level in the Data standards area is 1.67, the maturity level in the Technology area is 1.44, and the maturity level in the Performance management area is 1.67. The result shows that the Policies area is the lowest due to the lack of regulations and good documentation regarding data management. It can be a concern in conducting evaluations for improving data quality management.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"24 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89587214","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

Application of CAD/CAM Systems in the Design of Woven Textiles CAD/CAM系统在机织物设计中的应用

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664866

R. Angelova, D. Sofronova

引用次数: 0

Machine Learning Classification Model for Identifying Pornography Addiction Among Children 识别儿童色情成瘾的机器学习分类模型

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664849

Xiaoxi Kang, D. Handayani, M. H. Kit

{"title":"Machine Learning Classification Model for Identifying Pornography Addiction Among Children","authors":"Xiaoxi Kang, D. Handayani, M. H. Kit","doi":"10.1109/ICCED53389.2021.9664849","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664849","url":null,"abstract":"Through the development of civilization, there are different addictive behaviour. With the new technologies living in our daily life, Internet addiction has shown growth, especially for children. Among all the Internet addiction behaviours, porn addiction may raise attention to people since it may cause children with learning disabilities, depression, and social skills. Usually, the psychologist will identify the children with porn addiction with the results of the questionnaire and third-party observers. These methods depend on the first-party experience, and they may often overlook. From the review, we know that addictive behaviour is detectable by brain activity. Some research found that functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) are able to display the difference for addictive subjects. Hence, we want to use the EEG signals to identify pornography addiction among children. We use the bandpass as the preprocessing method. Wavelet Packet Decomposition (WPD) as feature extraction, and support vector machine (SVM) as classification methods to process the data to do the prediction model. This research is related to the government campaign under the MCMC, namely \"Klik dengan bijak.\".","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"623 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91456798","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

LoRa Based Water Quality Monitoring System in Symbiosis University’s Lavale Campus 基于LoRa的共生大学拉瓦尔校区水质监测系统

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664863

Utkarsh Alset, Atul Kulkarni, Hrishikesh Mehta

引用次数: 1