2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)最新文献_第3页

Mapping Spread Virus COVID-19 in India Using K-Means Clustering 使用k均值聚类绘制印度传播病毒COVID-19

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664839

D. Gustian, Muhamad Zaenal Abidin, S. Handayani, A. Hasbi, Muhammad Muslih

{"title":"Mapping Spread Virus COVID-19 in India Using K-Means Clustering","authors":"D. Gustian, Muhamad Zaenal Abidin, S. Handayani, A. Hasbi, Muhammad Muslih","doi":"10.1109/ICCED53389.2021.9664839","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664839","url":null,"abstract":"Covid have confirmed as pandemic global by the World Health Organization (WHO), because spread that very fast among humans. As a result of the Covid-19 virus, many infected patients died, including from all countries on the Asian continent. Like the case that occurred in one of the Asian countries, namely India, which is one of the countries that experienced a spike in Covid-19 cases, the transmission of thevirus Covid-19 in India penetrated more than 400,000 cases in 1 day. The number is the highest daily record set by India during the Covid-19 pandemic. However, it was found that the problem of the spread of Covid-19 tends to increase, this is the country with the second largest population in the world. The total number of Covid-19 cases in the country has reached 21 million or second only to the United States. The vastness of India’s territory allows the need for grouping the parts by region in India. This grouping produces the center points for the spread of Covid-19 cases. The purpose of grouping Covid-19 cases based on clusters is to find out the weight/percentage value generated from each of these clusters using the K-Means Clustering method. This method is used to map the spread of the Covid-19 virus from various regions in India based on confirmed cases, dead, recovered and active/new clusters. The benefits obtained for the government in overcoming Covid-19 cases are to create strategies to prevent the spread of Covid-19 based on information from the results of regional clustering in India The results obtained from research conducted in 38 regions in India using 4 clusters resulted in Confirmed cases (C0) 199 items, Died (C1) 779 items, Recovered (C2) 21 items, and Active/new cluster (C3) 231 items with a totalcluster of 1230items.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"85 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":"89615691","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

Energy Efficiency Scheme for Wireless Sensor Network with Rendezvous Nodes and Mobile Sink 具有汇聚节点和移动接收器的无线传感器网络能效方案

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664875

Amar Jukuntla, V. Dondeti

{"title":"Energy Efficiency Scheme for Wireless Sensor Network with Rendezvous Nodes and Mobile Sink","authors":"Amar Jukuntla, V. Dondeti","doi":"10.1109/ICCED53389.2021.9664875","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664875","url":null,"abstract":"Prolonging a network lifetime in Wireless Sensor Network (WSN) is always a tedious task. All sensor nodes (SN) are covered in isolated area to monitor environmental parameters and Mobile Nodes are used to collect data from isolated areas and transmit data to destination location. Some issues are raised in WSN, while monitoring environmental parameters continuously sensor nodes are exhausted and running out of energy. For example, Cluster Head (CH) transmits data to Mobile Sink (MS) with available residual energy. This residual energy is not sufficient to transmit data to MS and CH is overloaded with other nodes information in cluster. For addressing this issue many methodologies are proposed and addressed in their extent However, all these methodologies are experienced ill effect. In this we proposed a scheme to address this issue with Rendezvous Nodes (RN) with efficient clustering algorithm to transmit data to MS. MS are mounted upon vehicles with fixed trajectory path and SN are sent to active or passive modes based on residual energy in each sensor node in the cluster. Only active nodes are operated, and remaining nodes are in passive state to save their residual energy. In this approach we can prolong network life and reduce risk of energy exhausted SN in WSN. Simulation predicts effective result compared to other approaches.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89887058","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

A Travel Behaviour Model To Predict Travel Behaviour Pattern Of Urban Road User Using Rule-Based Approach 基于规则的城市道路使用者出行行为模式预测模型

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664865

Prahaladhan Sivalingam, D. Asirvatham, K. Chinna

{"title":"A Travel Behaviour Model To Predict Travel Behaviour Pattern Of Urban Road User Using Rule-Based Approach","authors":"Prahaladhan Sivalingam, D. Asirvatham, K. Chinna","doi":"10.1109/ICCED53389.2021.9664865","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664865","url":null,"abstract":"World’s population has rapidly migrated to urban areas and prefers to use private cars instead of public transport, which results in high volume of car users in urban cities. In Malaysia, most research related to travel behavior is based on traditional data collection methods which include face-to-face meetings and questionnaires. However, traditional methods lead to human errors ending in inaccurate data as well as false, resulting in models. Survey-based data collection is perception-based as it does not include the actual travel data. In this research, we have proposed GPS method of data collection, which represents the actual travel time of the road user. Moreover, these methods give confined accuracy and necessitate respondent conformity apart from being expensive and a burden towards participants. The current situation mandates a model that predicts and visualizes travel behaviour via advanced methods such as collecting data via smartphone (GPS) applications. An extensive literature search using the keywords travel behaviour model, GLT data, machine learning algorithms and travel patterns was to propose a visualization and prediction model. The proposed model is based on the GLT data and questionnaires which will be preprocessed using data mining techniques such as the rule-based algorithm to study the raw data obtained via GPS dataset and SPSS analysis to verify and validate the questionnaire details obtained. The performance proposed model will be benchmarked with existing models that use traditional methods to analyze data from travelers. This concept paper provides further opportunity to visualize travel behaviour patterns and its demand to assist policymakers and route planners to improve urban lifestyles.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"68 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":"84712654","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

Pathfinding for Disaster Emergency Route Using Sparse A* and Dijkstra Algorithm with Augmented Reality 基于增强现实的稀疏A*和Dijkstra算法的灾害应急路径寻路

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664869

T. Mantoro, Zaenal Alamsyah, M. A. Ayu

{"title":"Pathfinding for Disaster Emergency Route Using Sparse A* and Dijkstra Algorithm with Augmented Reality","authors":"T. Mantoro, Zaenal Alamsyah, M. A. Ayu","doi":"10.1109/ICCED53389.2021.9664869","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664869","url":null,"abstract":"Indonesia has many natural disasters, ranging from floods, landslides, earthquakes and other disasters. The disaster caused damage and trauma to the victims. From January 1 to December 31, 2020, natural disasters have claimed 6,203,730 victims and a total of 2,952 disasters. As disaster cases increase from year to year, volunteers and disaster response organizations begin to participate in helping disaster victims. However, problems usually occur for volunteers to easily reach and access the disaster location. Using only a 2D map is not enough to help volunteers to get to the disaster location properly, especially in rural areas that are difficult to navigate on. For this reason, it is necessary to develop a 2D map system which provides to proper route visualization. In addition, a good pathfinding algorithm is able to enhance the map to have an accurate route. In this study the pathfinding algorithms used for is sparse A* and Dijkstra’s algorithms. Then the visualization is assisted by Augmented Reality (AR) technology which can show the route that will be traversed by emergency disaster volunteers. The purpose of this study is to assist those volunteers in finding the shortest path using two algorithms and AR as a visualization of the route.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"53 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":"77213331","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

Depression Identification Through Social Media Posts: Data Preprocessing for Data Visualization of Tweets 通过社交媒体帖子识别抑郁症:推文数据可视化的数据预处理

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664845

Kevin Chow Kye Ven, Adeline Ng Khai Ying, Ngoo Qi Jie, Shoo Yen Lun, Scott Lee Chuen Yuen, D. Handayani, N. Hamzah, M. Lubis, T. Mantoro

引用次数: 0

Using K-Nearest Neighbor Algorithm for Personality Classification of Twitter’s Users Based on the Big Five Theory 基于大五理论的推特用户性格分类的k近邻算法

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664857

Agatha Silvani Sekarningtyas, M. A. Ayu, T. Mantoro

引用次数: 1

Analysis of Factors Affecting Adoption Intention on Smartwatch Adoption in Human and Technology Factor Perspective 基于人与技术因素视角的智能手表采用意愿影响因素分析

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664836

Edward, A. Hidayanto, Rahmat M. Samik-Ibrahim

{"title":"Analysis of Factors Affecting Adoption Intention on Smartwatch Adoption in Human and Technology Factor Perspective","authors":"Edward, A. Hidayanto, Rahmat M. Samik-Ibrahim","doi":"10.1109/ICCED53389.2021.9664836","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664836","url":null,"abstract":"Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user’s acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"32 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":"85328457","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

Analysis of the Effectiveness on SIAK (Population Administration Information System) Use at Melawi Regency 马拉维政府人口管理信息系统(SIAK)使用效果分析

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664850

Mega Silfiana, Clara Hetty Primasari, Putri Nastiti, Yohanes Priadi Wibisono, Aloysius Bagas Pradipta Irianto, Elisabeth Marsella

{"title":"Analysis of the Effectiveness on SIAK (Population Administration Information System) Use at Melawi Regency","authors":"Mega Silfiana, Clara Hetty Primasari, Putri Nastiti, Yohanes Priadi Wibisono, Aloysius Bagas Pradipta Irianto, Elisabeth Marsella","doi":"10.1109/ICCED53389.2021.9664850","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664850","url":null,"abstract":"Effectiveness is the main element in achieving the goals and targets that have been targeted in every organization or agency. Something is said to be effective if it achieves the objectives that have been set. During the use of SIAK in Department of Population and Civil Registration of Melawi Regency, there were still many shortcomings and obstacles. Therefore, analysis about this system’s effectiveness should be done. The method used in this research was the DeLone and McLean Information System Success Model. The population in this study were employees who had the authority to use SIAK at the Department of Population and Civil Registration of Melawi Regency. Data collection techniques were carried out by distributing questionnaires and conducting interviews. This study obtained the results that there were deficiencies in SIAK, especially in system quality, information quality and service quality which have no significant effect on the usage. This shows that the three variables still need to be improved and optimized so that the use of SIAK can be more effective.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"60 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":"78129998","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

National Resilience Index Model and Public Policy Simulation 国家弹性指数模型与公共政策模拟

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664851

D. U. Daihani

{"title":"National Resilience Index Model and Public Policy Simulation","authors":"D. U. Daihani","doi":"10.1109/ICCED53389.2021.9664851","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664851","url":null,"abstract":"Indonesia is one of the world's most populous archipelagic countries. Approximately 270 million people live on a total of 17 845 islands that straddle the middle of the equator. Indonesia is also a multi-ethnic country, having 931 ethnic groupings and 731 distinct dialects. The globe and geopolitics tensions are highly dynamic in the current period of globalization, and changes in one state will influence other countries. As a consequence, changes in a state's strategic environment might have an impact on its stability. These surroundings' influence can have a good impact or improve internal stability, but it can also have negative consequences that endanger internal stability. A state's resilience is determined by the flexibility of all elements of its sociopolitical existence, which is referred to as national resilience. In general, national resilience is described as an organization's capacity to foresee, plan for, respond to, and adapt to gradual change and abrupt shocks in order to survive and thrive. The application of national resilience index measurement is created utilizing the GIS method to determine the state of national resilience. This system is extremely beneficial for undertaking a diagnostic of national resilience conditions and changes in each region at all times. By evaluating national resilience, various strategies may be developed to anticipate diverse environmental effects. This technology may also be used to forecast future situations and generate multiple scenarios for countermeasures using a dynamic system approach.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"25 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":"73974891","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

User Interface Design Patterns for Marketplace Mobile Application in Indonesia Based on User Behavior 基于用户行为的印尼市场手机应用的用户界面设计模式

2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2021-08-05 DOI: 10.1109/ICCED53389.2021.9664843

Jauharul Arifin, Ervina Mardiani Fasha, M. A. Ayu

{"title":"User Interface Design Patterns for Marketplace Mobile Application in Indonesia Based on User Behavior","authors":"Jauharul Arifin, Ervina Mardiani Fasha, M. A. Ayu","doi":"10.1109/ICCED53389.2021.9664843","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664843","url":null,"abstract":"The number of mobile applications for online marketplace is kept increasing along with the transaction in online shopping. Each marketplace application has its user interface (UI) design pattern. Currently, there is no design pattern preference for marketplace mobile app, especially in Indonesia, which is based on user behavior. This creates a need for a recommendation of UI design patterns to help the designers building the mobile application based on user behavior. Thus, this study aims to propose a recommendation for the design patterns. Mix method was used in this study to collect data from the users of three mobile marketplace applications, which are Shopee, Tokopedia, and Bukalapak. Quantitative data was collected through an online survey, and qualitative data was gathered from interviews with respondents. Throughout the study, information about different segments in terms of personal preference design and pattern of behavior and details related to the design and behavior towards each marketplace was discovered. Those data were then analyzed to generate a collection of design patterns that can be used as reference and consideration for the next related studies and implementations in constructing a marketplace mobile application.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"18 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":"78538802","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