2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)最新文献_第2页

Twitter User Sentiment Analysis For RUU Omnibus Law Using Convolutional Neural Network 基于卷积神经网络的RUU综合定律推特用户情感分析

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010404

P. Dauni, M. Ramdhani, Dimas Ramdhani Suryapratama, Jumadi, W. B. Zulfikar, R. Fuadi

引用次数: 0

Random Forest Classifier Evaluation in DDoS Detection System for Cyber Defence Preparation 面向网络防御准备的DDoS检测系统中的随机森林分类器评价

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010341

Zaidan Fadhlurohman Faruq, T. Mantoro, M. A. Catur Bhakti, Wandy

{"title":"Random Forest Classifier Evaluation in DDoS Detection System for Cyber Defence Preparation","authors":"Zaidan Fadhlurohman Faruq, T. Mantoro, M. A. Catur Bhakti, Wandy","doi":"10.1109/ICCED56140.2022.10010341","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10010341","url":null,"abstract":"Cyberattack has become common problems in network security. One of the common techniques of the attack is Distributed Denial of Service (DDoS). A DDoS attack happens when the attacker is sending a huge amount of network requests to the connected host from many different sources. The attack can cause the network service disrupted and cannot be used due to overwhelmed machine that tried to serve the request from many sources. The impact of the attack can cause the network to be unavailable and can lead to user dissatisfaction. Therefore, the detection of DDoS is needed for maintaining the influx of network services and preventing the flooding of unwanted traffic to the host. The detection technique of a DDoS attack must distinguish between legitimate traffic and botnet traffic. The technique used for detecting the traffic that causes DDoS attacks will be using a machine learning algorithm. One of the implemented algorithms is the Random Forest technique. This study is focusing on evaluating the Random Forest implementation as the network classifier. The result of this study is determining the effectiveness and accuracy of the Random Forest Classifier. This algorithm also is compared with other algorithms. The evaluation has resulted in Random Forest Algorithm having better performance based on the variable that is related to accuracy and processing time than other compared algorithms, with a tight difference from the J48 algorithm. This study is contributing to the enhancement of machine learning implementation on DDoS attack detection and as part of cyber defense preparation for the stakeholders.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125943147","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

An Empirical Study on the Role of Work Ethics and Emotional Intelligence on Software Engineers’ Work Performance and Job Satisfaction 职业道德和情绪智力对软件工程师工作绩效和工作满意度影响的实证研究

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010615

Shafia Khatun, Norsaremah Salleh

引用次数: 0

System Architecture and Dataset ASEAN Entrepreneurship Profiling Website 系统架构和数据集东盟创业分析网站

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10009915

Y. Indrianti, Sasmoko, M. K. bin Ramly, F. Purnomo

{"title":"System Architecture and Dataset ASEAN Entrepreneurship Profiling Website","authors":"Y. Indrianti, Sasmoko, M. K. bin Ramly, F. Purnomo","doi":"10.1109/ICCED56140.2022.10009915","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10009915","url":null,"abstract":"Entrepreneurship has proven to be one of the important factors that can increase economic capacity in every country, especially in ASEAN countries. Therefore, a special study is needed in accordance with various indicators of entrepreneurial success in the context of ASEAN countries. This study resulted in an instrument in the form of ASEAN Entrepreneurship Profiling which was developed through technology-based applications. Through this application, the instrument was developed to make it easier for entrepreneurs to fill out a profile so that it automatically becomes part of a self- assessment to produce a profile of the entrepreneurial condition experienced. The development of this application is based on the system architecture and system dataset as an important step in application development. The architectural system in the application is carried out in a planned manner so that the website developed does not only function technically but also has aesthetic value. While the data set in this application is needed because of the incoming respondent data, a database is needed to be a source of data that can be processed based on the entrepreneur's personal profile, based on region and based on country of origin. Processing data individually or in combination as a single unit requires the right data structure. Therefore, this study aims to develop the system architecture and application dataset of ASEAN Entrepreneurship Profiling. The research method used is a combination of survey methods and prototype methods to be able to present architectural systems and datasets that are both appropriate and attractive. The survey was conducted to calibrate the instrument to be used. The result of the research is that the instrument produces 16 valid items which are used as the basis for system development and an overview of the system architecture and dataset of the ASEAN Entrepreneurship Profiling application.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123148063","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

Experimental Light Concrete Using Coarse Aggregate of Cigarette Waste and Tree Branches Combination Masterpel-725 卷烟废粗骨料与树枝复合母粒-725试验轻混凝土

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010601

Paikun Paikun, Isdaryanto Iskandar, Daniel Arie Susanto, Rakha Farhan Sunarlan, Danang Purwanto

{"title":"Experimental Light Concrete Using Coarse Aggregate of Cigarette Waste and Tree Branches Combination Masterpel-725","authors":"Paikun Paikun, Isdaryanto Iskandar, Daniel Arie Susanto, Rakha Farhan Sunarlan, Danang Purwanto","doi":"10.1109/ICCED56140.2022.10010601","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10010601","url":null,"abstract":"Lightweight concrete is the choice used for building structural components so that a dead load of a building becomes lighter. In Indonesia, there are tree branches and cigarette butts in abundance. Therefore, it is necessary to use it as an innovative product, so this research is important to aim to utilize tree branches and cigarette butt foam waste for lightweight concrete mixture as a substitute for coarse aggregate. This research is using experimental method. This lightweight concrete experiment uses sand, water, cement, and gravel, where the gravel will be replaced using foam from cigarette butts and tree branches. The gravel replacement experiment consists of 3 proportions, and each proportion will be made a test object Testing the compressive strength of concrete and the specific gravity of concrete refers to the SNI for concrete. The compressive strength test of concrete is carried out for quality measurement, while weighing is carried out as a standard for measuring the density of lightweight concrete. This research resulted in lightweight concrete innovation using cigarette butts and tree branches as a substitute for gravel with a concrete compressive strength and specific gravity according to the SNI standard on non-structural concrete requirements for buildings. Furthermore, the results of this study are expected to be used by precast concrete producers and can be used by the general public, to manage cigarette butts and tree branch waste as business activities that can improve the community's economy.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132942353","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

Analysis of the Metaverse in Society 5.0 for Learning Systems using Meta 社会5.0中使用Meta的学习系统的Meta分析

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010350

T. Mantoro, William Hazkel Tarigan, M. A. Ayu

{"title":"Analysis of the Metaverse in Society 5.0 for Learning Systems using Meta","authors":"T. Mantoro, William Hazkel Tarigan, M. A. Ayu","doi":"10.1109/ICCED56140.2022.10010350","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10010350","url":null,"abstract":"There has been a new scientific policy that has been proposed in Japan that is named Society 5.0. This type of society is defined as \"a human-centered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space\". For the past couple of years, educational institutions have been using online video conferences for remote learning due to the coronavirus pandemic. This type of learning has some benefits such as convenience and flexibility. However, conversely, it is more isolating and discomforting for some. Additionally, remote online learning has been proposed to be the future of education, which might be disappointing to some students. Development in the metaverse and its hardware might be the solution for a better learning experience. This technology is also aligned with Society 5.0 as cyberspace will integrate more closely with physical space. The student would be able to feel as if they were in an actual classroom using the metaverse, which can be accessed by 3D Virtual World Applications. They would be able to see their peers and hear more of their peers to feel less isolated.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115006078","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

Towards the Development of Affective Recognition Using Heart Sound Signal: A Proposal 利用心音信号发展情感识别:一个建议

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010662

Z. Suryady, A. Wahab, Dini Oktarina DwiHandayani

引用次数: 0

Improving Early Detection and Prevention of Depression Using an Interactive Mobile App 利用交互式移动应用程序改善抑郁症的早期发现和预防

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010529

Daniel Stephen, Akbar Aryasatya Attallah, Media Anugerah Ayu

引用次数: 0

ICCED 2022 Cover Page ICCED 2022封面

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010498

引用次数: 0

Development and Validation of The Work Readiness Model of Informatics Students Using Multiple Regression 基于多元回归的信息学学生工作准备模型的建立与验证

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010691

Aprilia Sulistyohati, L. Susanti, R. Ridwan, A. Paramita, Tashia Indah Nastiti

{"title":"Development and Validation of The Work Readiness Model of Informatics Students Using Multiple Regression","authors":"Aprilia Sulistyohati, L. Susanti, R. Ridwan, A. Paramita, Tashia Indah Nastiti","doi":"10.1109/ICCED56140.2022.10010691","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10010691","url":null,"abstract":"Universities have a difficult task in preparing their students to have competencies according to the needs of the digital era industry. This study aims to determine the effect of hard skills, soft skills, and digital literacy on IT student work readiness. This is quantitative research, and the population is students of informatics engineering at Indraprasta University in semester 7 or 8 who have not worked. The number of samples is as many as 125 students (the minimum sample from the calculation of Slovin with an error rate of 5% is 93). Questionnaires were distributed through a simple random sampling technique. The data were processed using multiple linear regression analysis techniques. The results of this study obtained the equation Y = 1.821 + 0.757X1 +0.380X2 + 0.306X3 + e. Simultaneously hard skills, soft skills, and digital literacy have a positive and significant 94.3% effect on IT work readiness. Partially, the effect of hard skills (X1), soft skills (X2), and digital literacy (X3) on IT student work readiness (Y) is 37.4%, 34.3%, and 23.6%. This study proves that hard skills (X1), soft skills (X2), and digital literacy (X3) competencies together have a significant effect on IT student work readiness (Y) by 94.3%.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477430","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