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

Challenges in the implementation of E-Learning in Afghanistan Higher Education 阿富汗高等教育实施电子学习的挑战

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702070

Mohammad Salim Oryakhail, Salim Saay, Hasibullah Nasery

{"title":"Challenges in the implementation of E-Learning in Afghanistan Higher Education","authors":"Mohammad Salim Oryakhail, Salim Saay, Hasibullah Nasery","doi":"10.1109/ICADEIS52521.2021.9702070","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702070","url":null,"abstract":"e-learning is a cost-effective, free of time, and space restriction manner that is available anytime, and anywhere, which is the more crucial approach of learning for the people who have an occupation and are faced with time and financial constraints, to improve their skills and qualifications. However, many barriers hinder the successful implementation of e-learning. The study of such obstacles will assist policymakers to ease the challenges and pave the way for the successful implementation of e-learning. The current study seeks barriers that hinder the implementation of e-learning in Afghanistan Higher Education. At first, the study reviews the literature and found fifteen main barriers of e-learning, in the meanwhile two other barriers were added to these fifteen barriers during the bibliography. Then the study grouped these seventeen barriers into four dimensions namely: lecturers, students, infrastructure and technology, and university management. A structured questionnaire-based survey is applied to 783 audiences (lecturers and students) of five public, and five private universities in the five provinces of Afghanistan. And of these, 670 questionnaires are returned and analyzed. Based on the objective analysis, it was found that the level of ICT knowledge of lecturers and students is between beginner and expert. Furthermore, over 3/4 quarter of them did not have access to ICT and e-learning tools at their universities. Moreover, the result shows that all these seventeen items were known as the main barriers of e-learning implementation in Higher Education, except one item which is “Lack of ICT expertise”.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"53 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":"115319742","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

Drug Review-based Diabetes Prediction by Using Naïve Bayes Method 基于药物评论的Naïve贝叶斯方法预测糖尿病

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701942

Aisah Mujahidah Rasunah, E. B. Setiawan, I. Kurniawan

引用次数: 0

Scrum Best Practices Recommendation: a Media and Community Startup Case Study Scrum最佳实践建议:媒体和社区创业案例研究

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701958

Angga Kurniawan, E. K. Budiardjo, Kodrat Mahatma

{"title":"Scrum Best Practices Recommendation: a Media and Community Startup Case Study","authors":"Angga Kurniawan, E. K. Budiardjo, Kodrat Mahatma","doi":"10.1109/ICADEIS52521.2021.9701958","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701958","url":null,"abstract":"XYZ Company is a media and community company that applies Scrum in the process of developing key business support applications. The results of problem identification through interviews with the Chief Technology Officer (CTO) and Chief Product Officer (CPO) showed that one of the root causes of the problem was the Scrum team did not implement the Scrum guidelines strictly. This research evaluates the maturity level of Scrum implementation using the Standard CMMI Appraisal Method for Process Improvement (SCAMPI C). Researchers used the Scrum Maturity Model (SMM) as a model for calculating maturity. This SMM has been updated by following the Scrum Guide 2020 and best practices in 2020-2021 obtained from the literature study. To affirm the appraisal result, This research also distributed questionnaires to 33 respondents from the product team and the technology team. This research recommends implementation improvements using the Plan, Do, Check, Act (PDCA) Cycle approach. The results of the Scrum implementation maturity assessment are on Level 2. This research recommends some practices to be implemented and improved in the objectives: (a) Scrum Role Exist; (b) Scrum Meetings Occur and are Participated, and (c) Daily Scrum Succeed. If applied consistently, XYZ will have a quality improvement in Scrum implementation.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"59 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":"115022983","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

Improving Thermal Camera Performance in Fever Detection during COVID-19 Protocol with Random Forest Classification 基于随机森林分类的COVID-19协议中热像仪发热检测性能改进

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702045

Aji Gautama Putrada, D. Perdana

{"title":"Improving Thermal Camera Performance in Fever Detection during COVID-19 Protocol with Random Forest Classification","authors":"Aji Gautama Putrada, D. Perdana","doi":"10.1109/ICADEIS52521.2021.9702045","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702045","url":null,"abstract":"The AMG8833 sensor can be utilized for a low-cost thermal camera-based body temperature measurement during COVID-19 protocol enforcement. However, the sensor is not accurate enough for body temperature measurement, so fever detection performance becomes poor. The aim of this study is to apply Random Forest as a classifier in a thermal camera body temperature measurement that uses the AMG8833 sensor and evaluate its performance in detecting fever. In addition to the AMG8833, the thermal camera made also uses a webcam for face detection, and a Raspberry Pi as a minicomputer and a place to apply the Random Forest model. That way, the Thermal camera undergoes three processes, namely face detection from the image captured from the webcam, then temperature and fever detection from AMG8833. From the receiver operating curve (ROC) test conducted, Random Forest area under curve (AUC) value is superior compared to the Logistic Regression and Decision Tree methods with a value of 0.977. Furthermore, the sensitivity and specificity values of Random Forest in detecting fever are 88.5% and 99.5%, respectively. This value is higher than a detection system that does not use Random Forest classification for fever detection.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"6 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":"130628097","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: 11

Improving the Quality of Requirements Engineering Process in Software Development with Agile Methods: a Case Study Telemedicine Startup XYZ 用敏捷方法提高软件开发中需求工程过程的质量:一个远程医疗初创公司XYZ的案例研究

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701962

A. Wibawa, E. K. Budiardjo, Kodrat Mahatma

{"title":"Improving the Quality of Requirements Engineering Process in Software Development with Agile Methods: a Case Study Telemedicine Startup XYZ","authors":"A. Wibawa, E. K. Budiardjo, Kodrat Mahatma","doi":"10.1109/ICADEIS52521.2021.9701962","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701962","url":null,"abstract":"XYZ is a telemedicine startup company that uses Scrum, an Agile methodology, as a software development method. The company uses Scrum to deliver good products and services to customers on time, even with limited requirements. However, the company faced problems in product development, so the company could not release the product on time. Based on interviews with internal experts, the company has issues determining the priority scale of requirements and change requirement management, where both problems are part of requirement engineering. This study discusses the problems of the company XYZ regarding the requirement engineering process, especially the problem of determining the priority scale of requirements and change requirement management. This research uses the CMMI-Dev 1.3 specific process area to assess the requirement engineering process in the company using sub-specific practices in the Requirement Development (RD) and Requirement Management (REQM) process areas. Researchers conducted interviews with product managers to appraise sub-specific RD and REQM practices with current activities in the company. The results of this study are recommendations to improve the quality of the requirement engineering process by using Objective Key Result (OKR) and Action Priority Matrix (APM).","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"119 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":"132899935","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

Real-time global sentiment analysis system with custom augmentation of market intelligence 实时全球情绪分析系统与自定义增强市场情报

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701938

Harsh Trivedi, Manav Shah, Vrushti Shah, N. Shah, Anand Patel

{"title":"Real-time global sentiment analysis system with custom augmentation of market intelligence","authors":"Harsh Trivedi, Manav Shah, Vrushti Shah, N. Shah, Anand Patel","doi":"10.1109/ICADEIS52521.2021.9701938","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701938","url":null,"abstract":"Due to the significant growth of internet access across the world, online presence and usage of social media of people have escalated. Among them, one of the most popular and contributing platforms is Twitter, which has more than 350 million users. Being a platform facilitating the opinions and views of such a huge population in every domain, Twitter qualifies itself as a great opinion mining source. Sentiment analysis – a process of discovering and identifying the emotion (positive or negative) from the text data, has been in significant rise for its use in decision-making. Implementing such a sentiment analysis model into the pool of tweets (text data of Twitter) is termed Twitter sentiment analysis. Also, the process of deriving public sentiment before decision-making has progressed significantly over the years. Intelligent systems work to create and implement a real-time model which can be functional on various aspects of commercial and non-commercial applications. This paper reviews and consists of such relevant systems.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"81 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":"125525032","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

Using Text Mining to Improve Service Quality Effort: a Case on Indonesia Beauty E-Commerce 利用文本挖掘提高服务质量——以印尼美容电子商务为例

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701945

Indrawati, A. Rabbani, Kurnia

{"title":"Using Text Mining to Improve Service Quality Effort: a Case on Indonesia Beauty E-Commerce","authors":"Indrawati, A. Rabbani, Kurnia","doi":"10.1109/ICADEIS52521.2021.9701945","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701945","url":null,"abstract":"This study aimed to investigate the quality performance of beauty e-commerce services in Indonesia to find some appropriate improvements according to customer perceptions. Identification is conducted based on electronic service quality dimensions using text mining approaches, namely multiclass classification, sentiment analysis, and text network analysis methods. We gathered data from Twitter as a form of user generated content, because it is essential for companies to perceive what customers feel and need. This study utilized Sociolla, the leading beauty e-commerce in Indonesia, as an object. The results indicate several factors considered necessary by customers, i.e., efficiency, system availability, fulfillment, and responsiveness obtained from classifying customer opinions using the Naive Bayes Classifier model with an accuracy rate of 89%. The study also discovered many complaints regarding incompatible goods stock information on the website, app crash problems, difficulties in tracking orders, and difficulties in selecting payment methods. Moreover, several services are to be maintained, including faster delivery, more discounts, promos, and giveaway events, as well as quick response from customer service in handling complaints.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"18 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":"133404943","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

Sniffing Prevention in LoRa Network Using Combination of Advanced Encryption Standard (AES) and Message Authentication Code (MAC) 基于AES和MAC的LoRa网络嗅探防范

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702081

Putri Apriyanti Windya, V. Suryani, Aulia Arif Wardana

{"title":"Sniffing Prevention in LoRa Network Using Combination of Advanced Encryption Standard (AES) and Message Authentication Code (MAC)","authors":"Putri Apriyanti Windya, V. Suryani, Aulia Arif Wardana","doi":"10.1109/ICADEIS52521.2021.9702081","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702081","url":null,"abstract":"One of the characteristics of IoT devices is related to their limited resources. These devices are often referred to as IoT-constrained devices. The limited resources of IoT devices becomes a challenge in choosing an appropriate security method. To overcome this problem, an appropriate security method in the use of AES algorithms and MAC is deemed important. The variants of AES algorithm used in this research included AES128 and AES256. Meanwhile, the MAC algorithm used was Hash-based Message Authentication Code (HMAC). This paper presents how to prevent the sniffing activity on wireless sensor network - especially in LoRa networks due to the increasing use of LoRa, as well as the development of IoT devices. Based on the results of the security analysis that has been done, this method was found to be able to guarantee the aspects of confidentiality, authentication, and integrity. In this paper, overhead analysis on IoT constrained devices class 0 and class 2 was also performed with the results showing that this method was acceptable to be implemented on IoT constrained devices class 0 and class 2.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"2 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":"115054367","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

A Cluster Head Selection Method Comparison of DCHSM, DEEC, and LEACH on Wireless Sensor Network Using Voronoi Diagram 一种基于Voronoi图的DCHSM、DEEC和LEACH无线传感器网络簇头选择方法

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701963

Naufal Ammarfaizal, Aji Gautama Putrada, M. Abdurohman

{"title":"A Cluster Head Selection Method Comparison of DCHSM, DEEC, and LEACH on Wireless Sensor Network Using Voronoi Diagram","authors":"Naufal Ammarfaizal, Aji Gautama Putrada, M. Abdurohman","doi":"10.1109/ICADEIS52521.2021.9701963","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701963","url":null,"abstract":"The Dynamic Cluster Head Selection Method (DCHSM) is a method for analyzing the energy consumption of the sensor nodes, thereby reducing the battery usage time on the WSN and in the low energy adaptive clustering hierarchical algorithm (LEACH), the selection for the Cluster Head (CH) is based solely on a random comparison of numbers generated by the probability value obtained. However, the problem that arises is how to simulate the selection of a cluster head model on a wireless sensor network to consume energy more efficiently. The purpose of this study is to apply and simulate the CH model so that energy consumption can be more efficient and analyze the performance results of the Dynamic Cluster Head Selection compared to other cluster head selection methods, namely LEACH and distributed energy saving clustering (DEEC). This research was conducted by simulation and there are three main scenarios in the simulation in which the scenarios run DCHSM, DEEC, and LEECH in the same environment. Each simulation varies the number of nodes used in the environment, namely 100, 200, and 300, to observe the scalability of the DCHSM algorithm and how it relates to energy savings. When compared with LEACH & DEEC, the DCHSM test results from the distribution graph and active nodes in the 100-node test are 7.12% higher, because the total active nodes in DCSHM have increased significantly compared to LEACH & DEEC. Meanwhile, when testing on graphs of 200 and 300 nodes, DCHSM experiences a decrease in performance, this concluded that the DCHSM algorithm had a saturation point so that its performance could not be maximized on large scales.","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":"131014276","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

A Study of People Movement Index in Indonesia During Lebaran 2021 2021年Lebaran期间印尼人口流动指数研究

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701957

A. F. Ihsan, M. R. R. Nugraha, N. Nuraini

引用次数: 0