2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)最新文献_第3页

The Problematic Internet Use Among Students: Prevelance of Internet Addiction towards Indonesian Hospital Management Information System Readiness 学生网际网路使用问题:网瘾盛行对印尼医院管理资讯系统准备程度的影响

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701937

Hanif Fakhrurroja, D. Handayani, M. Lubis, W. A. Nurtrisha, E. Nuryatno, B. Lubis

{"title":"The Problematic Internet Use Among Students: Prevelance of Internet Addiction towards Indonesian Hospital Management Information System Readiness","authors":"Hanif Fakhrurroja, D. Handayani, M. Lubis, W. A. Nurtrisha, E. Nuryatno, B. Lubis","doi":"10.1109/ICADEIS52521.2021.9701937","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701937","url":null,"abstract":"This case study discusses the problems and challenges faced on the utilization of the computerized hospital management system in order to improve service quality from several hospitals in Indonesia. Many patients have complained that hospital do not fulfil the minimum satisfaction level as expected. Indeed, the appropriate facilities and infrastructure should support every health process to be automatic, integrative, customized and personalized. The development of a Hospital Management Information System is required to accommodate the registration process, allowing easy payment process, storing medical record securely, generating order quickly, handling the existing resource concussively and managing internal and external data. Based on the investigation towards several Hospital Management Information Systems used, the problems and challenges are identified to depict the prevalence of Internet addiction. It should be considered as the new addiction that high potentiality to become the new emerging threats to the community as new wave of pandemic.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127810445","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

Accident Detection System for Bicycle Athletes Using GPS/IMU Integration and Kalman Filtered AHRS Method 基于GPS/IMU集成和卡尔曼滤波AHRS方法的自行车运动员事故检测系统

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702085

Fajar Hidayatullah, M. Abdurohman, Aji Gautama Putrada

引用次数: 0

Learning Analytics of Online Instructional Design during COVID-19: Experience from Teaching Data Analytics Course 新冠肺炎期间在线教学设计的学习分析——《数据分析》课程教学体会

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702058

N. Sharef, Mohammad Deni Akbar

引用次数: 0

Comparison of Service Quality of Microcontroller and Smartphone-Based Noise Detection Products Using the Gronroos Model (Case Study: Health Service Waiting Room) 基于Gronroos模型的微控制器与智能手机噪声检测产品服务质量比较(以卫生服务候诊室为例)

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702051

Agil Hanusukma, Rahmat Yasitandi, R. Nugraha

{"title":"Comparison of Service Quality of Microcontroller and Smartphone-Based Noise Detection Products Using the Gronroos Model (Case Study: Health Service Waiting Room)","authors":"Agil Hanusukma, Rahmat Yasitandi, R. Nugraha","doi":"10.1109/ICADEIS52521.2021.9702051","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702051","url":null,"abstract":"This study discusses research on the comparison of service quality between Noise Detection for Public Place (NDPP) technology with Sound Meter applications using Gronroos modeling theory in its application to health care waiting rooms. NDPP is an Arduino-based tool for detecting noise levels in public facilities. While the Sound Meter application is an android-based application that has the same functionality as NDPP. There are several variables used in this study, namely Technical Quality, Functional Quality, Corporate Image. The data collection methods used were questionnaires and interviews, as well as the validation test method measured by the Pearson Product-Moment Correlation technique, and the reliability test was measured using the Cronbach’s alpha formula. The two product services show that the average value of the comparison of the Technical Quality and Functional Quality variables from the first service is smaller than the second service, and in the Corporate Image variable the average value of the first service is greater than the second service. Descriptively shows the difference in service quality. And the results of the Paired Sample T-Test show that the significance of the three test variables is less than the probability of 0.05. The results of this study indicate that there are differences between NDPP and Sound Meter applications in Technical Quality, Functional Quality, and Corporate Image.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467770","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

User Generated Content on Twitter to Identify Market Insights: a Case study on Zenius 用户在Twitter上生成内容以识别市场洞察:以Zenius为例

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701934

Indrawati, Ni Wayan Nanik Suaryani Taro Putri

{"title":"User Generated Content on Twitter to Identify Market Insights: a Case study on Zenius","authors":"Indrawati, Ni Wayan Nanik Suaryani Taro Putri","doi":"10.1109/ICADEIS52521.2021.9701934","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701934","url":null,"abstract":"Rapid technological developments and increasingly fierce competition require companies to be more effective and efficient in performing business activities to maintain their position. Companies need to adopt the right marketing tactics and use them to achieve company goals, including social media marketing. User-generated content on social media can be used by companies as a source to obtain information about the market. This study aims to process and analyze user-generated content on Twitter social media about Zenius to generate useful insights in designing marketing tactics on the company’s Twitter social media. Social network analysis is used to identify the formed communities and the most influential actors in the Zenius social network. Meanwhile, topic modeling is used to find topics of conversation in the network. Based on the market insights analysis, the recommended marketing tactic for Zenius is the brand ambassador strategy. The company can replace the brand ambassadors with influencers on social network or continue to use existing brand ambassadors while providing discussable content to increase company-customer engagement on social network. For further research, user-generated content from various other social media can be the research results accuracy support.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123778053","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

Design Approach in Electronic Health Consultation Application: User Empowerment for Internet Addiction 电子健康咨询应用的设计方法:用户对网瘾的授权

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702064

M. Lubis, D. Handayani, Aldi Rostiawan, Qadhli Jafar Adrian, R. Fauzi, I. Zamzami

{"title":"Design Approach in Electronic Health Consultation Application: User Empowerment for Internet Addiction","authors":"M. Lubis, D. Handayani, Aldi Rostiawan, Qadhli Jafar Adrian, R. Fauzi, I. Zamzami","doi":"10.1109/ICADEIS52521.2021.9702064","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702064","url":null,"abstract":"To improve health levels, good health literacy is required, in which Indonesia still categorized as low in health awareness. Someone with low health literacy will experience more challenges when using or accessing health care system, especially to identify or being aware about Internet addiction. Thus, electronic consultation come into the picture to provide more engaging and interactive mechanism in discussing several and related issues in order to improve the quality of understanding regarding the topic. It also aims to allow users to browse and investigate the indicator for the purpose to stay healthy or identify the others through online without having to visit doctor at his workplace due to various reasons such as lack of free time. In this study, user experience (UX) perspective was used through RSM (Recognize, Scrutinize and Materialize) design approach by developing and evaluating the prototype with usability testing using concrete scenarios with alternative design. Also, this study implement alternative design in the design phases to expand the usability criteria and aspects to align with the user demand as the critical factors and trigger for success implementation.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127037540","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

Face Mask Detection using Haar Cascade Classifier Algorithm based on Internet of Things with Telegram Bot Notification 基于物联网和Telegram Bot通知的Haar级联分类器人脸检测

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702065

A. Rahmatulloh, R. Gunawan, Heni Sulastri, I. Pratama, I. Darmawan

{"title":"Face Mask Detection using Haar Cascade Classifier Algorithm based on Internet of Things with Telegram Bot Notification","authors":"A. Rahmatulloh, R. Gunawan, Heni Sulastri, I. Pratama, I. Darmawan","doi":"10.1109/ICADEIS52521.2021.9702065","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702065","url":null,"abstract":"The lack of public awareness of wearing masks during the COVID-19 pandemic is one of the causes of the high number of Covid-19 cases in Indonesia. Since the beginning of June 2020, the government has set a New Normal phase. This is done to restore the economy and prevent the spread of the COVID-19 pandemic. During New Normal, activities can still run by implementing health protocols by requiring masks to be worn. Currently, the detection of masks is still done manually by security officers because of the fatigue factor, so that human errors often occur. To overcome this, an automatic system is needed to detect people wearing masks and not wearing masks. In this study, a mask detection system was made using the haar cascade classifier method by utilizing machine learning, image processing, and the internet to facilitate connectivity. The result of this research is an internet of things-based mask detection system using the haar cascade classifier method that runs on a raspberry pi to monitor and distinguish between people with masks and not masks in various light conditions with the help of an additional IR (Infrared) module on the camera. If a person is detected who is not wearing a mask, the program will automatically capture it, and an alarm will sound and send the captured results to the telegram bot. The resulting performance is when the video stream reaches 12-60 fps, the system can run well without stuttering even during the video stream. The connection speed to the telegram bot got excellent results without any delay with an average time of 0.001695977 seconds with a maximum detection distance of 1.2 meters.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703429","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: 6

Tourist Movement Analysis using Social Media Data in Indonesia 利用社交媒体数据分析印度尼西亚的游客运动

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701947

A. Alamsyah, I. P. W. Ditya, T. Widarmanti

引用次数: 7

Implementation of the Spiral Optimization Algorithm in the Support Vector Machine (SVM) Classification Method (Case Study: Diabetes Prediction) 螺旋优化算法在支持向量机(SVM)分类方法中的实现(以糖尿病预测为例)

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701953

Made Adi Widyananda, Irma Palupi

{"title":"Implementation of the Spiral Optimization Algorithm in the Support Vector Machine (SVM) Classification Method (Case Study: Diabetes Prediction)","authors":"Made Adi Widyananda, Irma Palupi","doi":"10.1109/ICADEIS52521.2021.9701953","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701953","url":null,"abstract":"Classification is a data mining method that is formulated to estimate group membership for data samples, this process is used to analyze the connections between data in a large data set. One of the classification methods that are often used is Support Vector Machine (SVM), in the SVM method there is a kernel function that helps in solving classification problems that cannot be separated linearly, one of which is the Radial Basis Function (RBF) Kernel. In using the SVM method with the RBF kernel function, Gamma and C parameters can affect the shape of the hyperplane in producing a good classification model, so that optimal Gamma and C parameter values are needed to produce a good classification. This study using the Spiral optimization Algorithm in optimizing Gamma and C parameters, by conducting several experimental stages in determining the best parameters of the Spiral optimization Algorithm to determine the Gamma and C parameters, SVM classification method with RBF kernel function can produce the highest accuracy is 86.15% with an average accuracy is 80.12% based on Pima Indians Diabetes dataset.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"596 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317785","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

Microservices-based IoT Monitoring Application with a Domain-driven Design Approach 基于微服务的物联网监控应用与领域驱动设计方法

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701966

A. Rahmatulloh, Dewi Wulan Sari, Rahmi Nur Shofa, I. Darmawan

{"title":"Microservices-based IoT Monitoring Application with a Domain-driven Design Approach","authors":"A. Rahmatulloh, Dewi Wulan Sari, Rahmi Nur Shofa, I. Darmawan","doi":"10.1109/ICADEIS52521.2021.9701966","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701966","url":null,"abstract":"The growth in the use of the Internet of Things (IoT) is increasingly massive. Along with the continuous development of the IoT platform, there are obstacles in the number of nodes that continue to increase. In addition, there are growing issues of availability, scalability, and functionality of applications that will lead to dead code. Micro-services architectural pattern emerges as an alternative. However, the service decomposition process and data management on services in Micro-service applications require special attention. Based on the issues described above, in this study, the Micro-services architecture paradigm with a domain-driven design (DDD) approach is applied to develop an IoT Monitoring application that can handle various IoT projects on one platform. The results show that a definition of a service is designed to be more accurate. The application of the DDD concept in breaking down application services helps in mapping each domain. Therefore, it can produce adaptive software products and generate easy-to-maintain code. The Micro-service architecture with a REST API-based approach applied to the IoT monitoring application has worked well, tested at the unit testing, integration, and performance stages. Based on performance testing results, the number of nodes (with three sensors per node) that can access simultaneously reaches 75 nodes. The total sensors in one node can have up to 10 sensors per node with a response time of less than 100ms. System development can be done without overhauling the entire system and does not interfere with the performance of other services.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036687","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