2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)最新文献_第2页

Topic Classification of Islamic Consultation Question and Answer Using Supervised Learning 基于监督学习的伊斯兰咨询问答主题分类

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701944

Farhan Arrahman, K. Lhaksmana, D. Murdiansyah

{"title":"Topic Classification of Islamic Consultation Question and Answer Using Supervised Learning","authors":"Farhan Arrahman, K. Lhaksmana, D. Murdiansyah","doi":"10.1109/ICADEIS52521.2021.9701944","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701944","url":null,"abstract":"Islamic question-and-answer (Q&A) websites are available as platforms for sharing and learning about Islam. Different Islamic Q&A websites usually shares similar Q&A topics that have been frequently asked by Islamic learners. However, due to a large number of Q&A entries in such websites, manual topic classification would be costly and time consuming. The objectives of this research are to develop a classification system for Islamic Q&A topics and analyze the vocabulary words that affect the classification results. To achieve these objectives, well-known supervised learning methods that have been previously implemented to classify Islamic texts are utilized, namely K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Multinomial Naive Bayes (MNB), and Multinomial Logistic Regression (MLR). In this research, these classifiers are evaluated in classifying Islamic Q&A entries. The evaluation finds that the SVM achieves the best accuracy and Hamming loss at 79.8 percent and 0.202, respectively. This research also finds that the relevant or specific vocabulary from a class can improve the classification system’s ability to predict correctly and vice versa.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"34 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":"128787408","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

Implementation of Support Vector Machine on Text-based GERD Detection by using Drug Review Content 支持向量机在基于文本的药品审查内容GERD检测中的实现

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702073

Asty Nabilah ’Izzaturrahmah, F. Nhita, I. Kurniawan

{"title":"Implementation of Support Vector Machine on Text-based GERD Detection by using Drug Review Content","authors":"Asty Nabilah ’Izzaturrahmah, F. Nhita, I. Kurniawan","doi":"10.1109/ICADEIS52521.2021.9702073","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702073","url":null,"abstract":"GERD or Gastroesophageal Reflux Disease is a situation when the reflux of stomach contents leads to unpleasant symptoms and/or complications. The prevalence range of GERD is approximately 18.1% to 27.8% in North America, 8.8% to 25.9% in Europe, 2.5% to 7.8% in East Asia, 8.7% to 33.1% in the Middle East, 11.6% in Australia, and 23.0% in South America. The numbers may seem small, but GERD will lead to several complications including esophagitis, peptic stricture, and Barrett’s esophagus if left untreated. The most common diagnostic test for the assessment of GERD along with its possible complications is the upper gastrointestinal endoscopy, or esophagogastroduodenoscopy (EGD). However, endoscopy has several risks. Disease detection using machine learning can be done and is needed due to the increment in medical data, new detection, and diagnostic modalities being developed. One of the machine learning algorithms often used in text classification is Support Vector Machine (SVM). This research applies SVM to do text-based classification, classifying data into two classes, namely GERD patient” and “not GERD patient using drug review data. The best model has 91.32% accuracy, 91% f1-score, and 91.32% AUC score with unigram as the n-gram range, and RBF with C is 1000, and gamma auto as the SVM kernel.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"43 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":"124119512","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

Analysis of Support Vector Regression Performance in Prediction of Lettuce Growth for Aeroponic IoT Systems 气培物联网系统莴苣生长预测的支持向量回归性能分析

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702093

Basil Haidi Farizan, Aji Gautama Putrada, Rizka Reza Pahlevi

{"title":"Analysis of Support Vector Regression Performance in Prediction of Lettuce Growth for Aeroponic IoT Systems","authors":"Basil Haidi Farizan, Aji Gautama Putrada, Rizka Reza Pahlevi","doi":"10.1109/ICADEIS52521.2021.9702093","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702093","url":null,"abstract":"In aeroponics, an IoT-based monitoring system that can monitor the growth of lettuce is needed because the delay in harvesting lettuce can cause the lettuce to taste bitter when consumed and in addition, if the lettuce is harvested at a too young age, the dry weight of the plant is not optimal. However, monitoring can only be done on parameters that can be measured by sensors so a regression method such as SVR needs to be trained to predict the lettuce growth. The purpose of this study is to analyze the performance of SVR in the lettuce growth prediction process. The basic features for predicting are light intensity, air temperature, air humidity, and water temperature. Additional features are light accumulation and day of growth. Preprocessing steps are implemented to improve the performance of the SVR model which are feature scaling using standard scaling and feature selection using Pearson correlation. The test results show that the optimized R-Squared value for the performance of SVR model in predicting growth targets leaf number, fresh weight, leaf width, and leaf length are 0.98 each.","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":"126270494","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

Conceptual Asset Management framework: A Grounded Theory Perspective 概念资产管理框架:一个扎根的理论视角

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701948

S. Suakanto, E. Nuryatno, R. Fauzi, R. Andreswari, V. S. Yosephine

{"title":"Conceptual Asset Management framework: A Grounded Theory Perspective","authors":"S. Suakanto, E. Nuryatno, R. Fauzi, R. Andreswari, V. S. Yosephine","doi":"10.1109/ICADEIS52521.2021.9701948","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701948","url":null,"abstract":"In general terms asset can be seen as anything with an actual or potential value to an organization, which also plays as a performance that can improve organization objectives. Nonetheless, more recent investigations concluded that asset also can be considered as a cost in terms of business operations and ultimately will affecting the financial objectives in terms of risk compliance within the organizational asset ownership. This paper argues that an asset management framework needs to give more consideration to the cost and risk factors of organizational objectives. The paper uses grounded theory to elaborate the asset’s lifecycle of management context. The theory examines the relationship between value, cost, and risk factors to understand how an asset management framework affect and affected by organizational business objectives. A number of organizations just commencing and completing an AM program were used as a data collection example. The conceptual asset management framework describes an illustration of the abovementioned relationship that direct organizational actions towards its objectives.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"115 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":"134120241","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: 5

JSON Web Token Penetration Testing on Cookie Storage with CSRF Techniques 使用CSRF技术对Cookie存储进行JSON Web令牌渗透测试

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701965

I. Darmawan, Aditya Pratama Abdul Karim, A. Rahmatulloh, R. Gunawan, Dita Pramesti

{"title":"JSON Web Token Penetration Testing on Cookie Storage with CSRF Techniques","authors":"I. Darmawan, Aditya Pratama Abdul Karim, A. Rahmatulloh, R. Gunawan, Dita Pramesti","doi":"10.1109/ICADEIS52521.2021.9701965","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701965","url":null,"abstract":"An authentication process is an act of proving the identity of a user when entering a system. Token-based authentication is a type of authentication that is stateless. This means that when the authentication process is carried out, there is absolutely no information about the user because the use of tokens in every request is made from the client to the server. Java Script Object Notation (JSON) Web Token is an authentication technique that provides an open and secure way to represent claims between two parties, cryptographically signed, which is designed not to be forged. However, this needs to be proven safe and not vulnerable. The purpose of this study is to conduct penetration testing of the security of JSON Web Token (JWT) storage on cookie storage using CSRF techniques. Scenarios for performing the CSRF technique were prepared in the experiment. The system architecture and tools to be used are prepared before the experiment is carried out. The experimental results in this study show that the part of the cookie attribute that embeds the flag “set-httponly: false”, can be accessed by javascript on the client-side (read and write). The CSRF technique that was tried in the research has succeeded in utilizing JWT tokens stored in cookies to send faked requests. Eventually, the victim’s account was used, and the resource was taken over.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"7 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":"132798137","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

Channel Treatment for Internet Addiction with Puskesmas Application: Design Approach with Usability Heuristics 网络成瘾的通道治疗与Puskesmas应用:可用性启发的设计方法

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701967

M. Lubis, D. Handayani, Qadhli Jafar Adrian, Anastassya Gustiarani, Cheta Kusuma Madjid, Irawan Nurhas

{"title":"Channel Treatment for Internet Addiction with Puskesmas Application: Design Approach with Usability Heuristics","authors":"M. Lubis, D. Handayani, Qadhli Jafar Adrian, Anastassya Gustiarani, Cheta Kusuma Madjid, Irawan Nurhas","doi":"10.1109/ICADEIS52521.2021.9701967","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9701967","url":null,"abstract":"Developed since 1968, Puskesmas is the most important healthcare facility and is at the forefront of providing basic healthcare services at the community level. Basically, its role is very important and should be one of the keys to Indonesia’s success in improving the health and nutritional status of the community. Meanwhile, Internet addiction become potential threat to the community that might be more dangerous compare to drug and sex addiction in term of social consequences. This study offer the integrated solution through usability heuristics design for the purpose of redesigning current apps after the identification of business process in several Puskesmas in the Bandung. It also want to increase the quality of service in order to provide proper communication between health workers and patients. In evaluation phase, the 4 criteria was used to generate sketches in relation to contextual settings. Then, the mockups will be assessed with 12 transaction features to ensure the readiness of its financial management before the application launching.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"44 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":"130161011","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

Indonesian Marketplace Trust Analysis Using Text Mining: a Case of Tokopedia 基于文本挖掘的印尼市场信任分析:以Tokopedia为例

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702080

Indrawati, Ni Putu Oka Intan Yustya Putri

{"title":"Indonesian Marketplace Trust Analysis Using Text Mining: a Case of Tokopedia","authors":"Indrawati, Ni Putu Oka Intan Yustya Putri","doi":"10.1109/ICADEIS52521.2021.9702080","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702080","url":null,"abstract":"The existence of technological sophistication and the use of the internet can be done with various things such as using social media, e-commerce, and others. Tokopedia is a marketplace where e-commerce activities can be carried out. In its development, Tokopedia experienced several adverse events such as data leaks, a decrease in monthly website visits in 2020, and the performance of the Tokopedia brand, which was still below other marketplaces. Based on this incident, Tokopedia experienced a decline which could make the view of Tokopedia less favorable, such as trust. This study aimed to see how Twitter users trust Tokopedia based on trust factors in e-commerce: perceived privacy, perceived security, perception of website quality, perceived risk, and internet experience. Text mining methods were used in this study, i.e., multiclass classification and sentiment analysis. The study results show that trust in Tokopedia is still lacking. There are results from the ecommerce factor where perceived privacy and risk have the most negative percentages among other factors. These results can be of particular concern in knowing the recommendations for marketing tactics that Tokopedia should carry out. In addition, this study is fruitful in seeing how the application of big data can be helpful in management regarding trust using available technology, such as the application of text mining to analyze reviews on a topic.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"72 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":"129329868","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

Estimating the Upper Limit of Daily Number of COVID-19 Cases in West Java Using Vector Autoregressive Model 利用向量自回归模型估计西爪哇省日新冠肺炎病例数上限

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9701939

Naufal Amiruddin Pratama, A. A. Rohmawati, A. Aditsania

引用次数: 1

Application of the TAM Model to Assess the Acceptance Level of Indonesian Artists on the Use of Virtual Gallery 应用TAM模型评估印尼艺术家对虚拟画廊使用的接受程度

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702038

Ade Irfan Wahyudin, Rahmat Yasirandi, Dita Oktaria

{"title":"Application of the TAM Model to Assess the Acceptance Level of Indonesian Artists on the Use of Virtual Gallery","authors":"Ade Irfan Wahyudin, Rahmat Yasirandi, Dita Oktaria","doi":"10.1109/ICADEIS52521.2021.9702038","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702038","url":null,"abstract":"Corona Virus Disease (COVID) has had a tremendous impact on the fabric of life in Indonesia, whether in the medical, economic or social, and political fields. One of the government’s efforts to recover everything back is to stop the spread of COVID-19 through social distancing. Artists’ efforts to support recovery in the pandemic era are by using virtual galleries. A virtual gallery is a place to exhibit art but online. The case studies in this study will be taken from Indonesian artists in Bandung, especially those who have used virtual galleries. This study aims to measure the level of acceptance of virtual galleries by Indonesian artists in Bandung by using Technology Acceptance Model (TAM) method. Five components measured by TAM include: PEU (Perceived Ease of Use), PU (Perceived Usefulness), ATU (Attitude Toward Using), BIU (Behavioral Intention to Use), and AU (Actual Use). Analysis method is using quantitative descriptive and data collection technique used a survey method approach with purposive sampling technique, and the respondents were users of the virtual gallery application in the city of Bandung with 25 respondents. The validity test will use product-moment correlation, and the reliability test will use Cronbach Alpha. Then for the analysis will use simple linear regression through the SPSS application. This study has six initial hypotheses, namely H1, H2, H3, H4, H5, and H6, where the six hypotheses have a positive and significant effect, meaning virtual gallery is accepted among artists.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"249 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":"132655722","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

Implementation of Goal-Directed Design in Designing User Interface for Job Seeking Website 目标导向设计在求职网站用户界面设计中的应用

2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS) Pub Date : 2021-10-13 DOI: 10.1109/ICADEIS52521.2021.9702059

Ayuba Jobarteh, Deden Witarsyah, Ahmad Musnansyah, J. Bazen, M. E. Saputri

{"title":"Implementation of Goal-Directed Design in Designing User Interface for Job Seeking Website","authors":"Ayuba Jobarteh, Deden Witarsyah, Ahmad Musnansyah, J. Bazen, M. E. Saputri","doi":"10.1109/ICADEIS52521.2021.9702059","DOIUrl":"https://doi.org/10.1109/ICADEIS52521.2021.9702059","url":null,"abstract":"This research focuses on designing user interface for a website that will provide people with formal and informal education a platform to post and seek jobs. The goal of the website is to reduce the dependencies and unemployment in different communities. This research paper aims to work on how to implement the Goal-Directed Design (GDD) method in designing the user interface. This paper will discuss in detail implementation of the 5 phases of the GDD method instead of the entire 6 phases in designing the user interface. Moreover, the work will also be discussing the research method used to gather the users’ desires and expectations from the product/website. The study used qualitative research methodology, and due to limited resources at hand, the researcher had access to a hand full of volunteers to conduct the field research, who were able to gather sufficient data needed to implement the GDD design method. The study commences the interface designing by identifying user objectives and behavior and translating them into the user model of the interface designed for job posting and seeking website. System Usability Scale (SUS) measurement parameters of usability testing were used to test the usability. The finding shows an average usability acceptability score of more than 77.5. Therefore, it can be concluded that the usability of the design is serving its purpose is in a good category. What this paper didn’t talk about was how the design is to be translated into codes. As in developing the actual website because the study of this paper was focused only on the designing of the user interface and delivering a prototype.","PeriodicalId":422702,"journal":{"name":"2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"136-137 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":"124010833","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