2021 13th International Conference on Information & Communication Technology and System (ICTS)最新文献_第7页

Modelling Usage M-Learning using Mamdani Fuzzy Logic System in along Covid-19 Pandemic at ITS - Indonesia 基于Mamdani模糊逻辑系统的m -学习在ITS -印度尼西亚新冠肺炎大流行期间的建模应用

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9609079

S. Arifin, A. S. Aisjah, Ferina Putri Suharsono

{"title":"Modelling Usage M-Learning using Mamdani Fuzzy Logic System in along Covid-19 Pandemic at ITS - Indonesia","authors":"S. Arifin, A. S. Aisjah, Ferina Putri Suharsono","doi":"10.1109/ICTS52701.2021.9609079","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9609079","url":null,"abstract":"Fuzzy logic system (FLS) of Mamdani is a method that has the ability to reason similar to human abilities. In this paper is conduct the modelling of usage m-learning. The model systems is able to measure qualitative categories in modeling the usage of mobile-learning during the Covid-19 pandemic. Fuzzy logic system model for “perceptions of student behavior in usage m-learning”, with 4 variables, i.e. (i) Teacher Readiness-TR, (ii) Student Readiness - SR, (iii) Subjective Norms - NS, and (iv) Intention Behavioral - IB. The four variables are indicators that stated in the question instrument. The fourth variables is input modelling system. Each instrument with a grading answered, i.e.: strongly disagree (SA), disagree (D), neutral (N), agree (A), and strongly agree (SA). The model is structured into two subsystems. Output of sub-system 1 is TR, SR, NS and IB variables, and output of sub-system 2 is “Behavior of Usage m-learning (UB)”. Model system is design in 3 scenarios, to choose the best one. The difference of each scenarios is in the interval variations and number of membership functions of fuzzy logic system. The SLF model was tested on 546 respondents. The fuzzy model in 3 scenarios shows the Mean of Average Percentage error (MAPE) value in the range of 5 - 50%, while the test results using SEM (Structural Equation Modelling) software show the MAPE value is 12%.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"104 1","pages":"190-194"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80057283","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 Machine Learning Approach to Study Tourist Interests and Predict Tourism Demand on Bonaire Island from Social Media Data: *Note: This research is based on the internship research report that has already uploaded to www.dcbd.nl 利用社交媒体数据研究博内尔岛游客兴趣和预测旅游需求的机器学习方法:*注:本研究基于已经上传到www.dcbd.nl的实习研究报告

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608497

Zakiul Fahmi Jailani, P. Verweij, J. T. van der Wal, R. Van Lammeren

{"title":"A Machine Learning Approach to Study Tourist Interests and Predict Tourism Demand on Bonaire Island from Social Media Data: *Note: This research is based on the internship research report that has already uploaded to www.dcbd.nl","authors":"Zakiul Fahmi Jailani, P. Verweij, J. T. van der Wal, R. Van Lammeren","doi":"10.1109/ICTS52701.2021.9608497","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608497","url":null,"abstract":"Studying tourist interest on the Caribbean island Bonaire might be a good step to improving tourism management. Tourism brought Bonaire economic growth but also puts pressure on the island's natural ecosystem. Previous studies on tourist interest based on surveys are labour-intensive, time-consuming, and expensive. This paper explores whether the use of freely available social media data combined with automatic machine learning methods can function as a cheap and fast alternative to surveys. From 2003 to 2019, 13,706 geotagged Flickr data points assigned keywords, then weighted using TF-IDF (Term Frequency-Inverse Document Frequency), and finally clustered with DB-SCAN (Density-Based Spatial Clustering of Noise Applications). Two factors determine whether a cluster has an associated unique activity/interest: the most relevant and least relevant keywords. Eight identified clusters are useful for interpreting Bonaire tourists' interest: urban tourism; nature tourism around the lake; in-land natural tourism; conch shell and food; unique fishes; windsurf activity; cruise and ship; carnival, parade and singing. Tourism demand was forecasted using both Flickr and CBS (Centraal Bureau voor de Statistiek) data. Flickr data could show which continent the tourist came from in which seasons (Winter, Spring, Summer, Autumn) from 2015 to the end of 2021.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"1 1","pages":"173-178"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77648707","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

Outlier Detection and Decision Tree for Wireless Sensor Network Fault Diagnosis 无线传感器网络故障诊断的离群点检测与决策树

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608955

Irfanur Ilham Febriansyah, Whika Cahyo Saputro, Galih Ridha Achmadi, Fadila Arisha, Dara Tursina, B. Pratomo, A. M. Shiddiqi

引用次数: 2

The Implementation of Augmented Reality in E-Commerce Customization: A Systematic Literature Review 增强现实技术在电子商务定制中的应用:系统的文献综述

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608322

Dhena Kamalia Fu'adi, A. Hidayanto, D. I. Inan, K. Phusavat

引用次数: 4

Application of Data Mining Techniques in Diagnosing Various Thyroid Ailments: A Review 数据挖掘技术在甲状腺疾病诊断中的应用综述

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608400

Arjonel M. Mendoza, Rowell M. Hernandez

{"title":"Application of Data Mining Techniques in Diagnosing Various Thyroid Ailments: A Review","authors":"Arjonel M. Mendoza, Rowell M. Hernandez","doi":"10.1109/ICTS52701.2021.9608400","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608400","url":null,"abstract":"The thyroid gland plays one of the most important organs in the human body. It secretes thyroid hormones, which regulate metabolism. Hypothyroidism and hyperthyroidism are caused by either too little or too much thyroid hormone secretion. This study assesses and analyzes existing data mining methods for diagnosing thyroid diseases. This paper aims to provide and identify the best practices in terms of applying data mining techniques such as decision tree, k-nearest neighbor, SVM, PNN, various Thyroid ailments which include the best machine learning model, naive Bayes, etc. Also, this research evaluates the preliminary techniques used to diagnose various thyroid diseases based on their efficacy and the number of attributes under the evaluation matrix. The attributes Age, sex, TSH, T3, TBG, T4U, TT4, and FTI were determined to be the most commonly used medical attributes in previous research works to perform experimental work to diagnose thyroid disorders. Almost every researcher has utilized one or more of these features to perform thyroid disease diagnostic work. According to the results of this study, there is a relationship between the number of attributes used and the accuracy rate achieved; The noticeable results that were presented in this study are some models are higher with fewer feature attributes while with the advent of the neural networks, the higher that number of attributes can give a better performance of classification. This area could be explored by considering adding and using more features to provide a more accurate and reliable output that can be a baseline for development.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"70 1","pages":"207-212"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90658325","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