2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)最新文献

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Predictive Models for Popularity of Solo and Group Singers in Spotify Using Decision Tree 使用决策树预测Spotify中独奏和组合歌手的受欢迎程度
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320838
Green Arther Sandag, A. Manueke
{"title":"Predictive Models for Popularity of Solo and Group Singers in Spotify Using Decision Tree","authors":"Green Arther Sandag, A. Manueke","doi":"10.1109/ICORIS50180.2020.9320838","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320838","url":null,"abstract":"Technology has revolutionized our world over the years, and music is one of them. Spotify had become one of the music streaming applications that offers the latest songs in every year. Users can download Spotify from Play Store, App Store, and the official website. Spotify is a music streaming platform that provides a Freemium service, which means it is available for free use and a paid premium. Users can browse the most famous artists or songs easily according to their ratings. The artist, lyric, and some of the audio features have a significant impact on making the song's popularity. The purpose of this research is to predict a soloist or group singers using a decision tree algorithm. We used weighted by information gain method to determine the most crucial feature in processing singers' popularity. Our model will help the solo singer, group singers, and song composers make their songs accessible. The best performance result is the Decision Tree Algorithm with an Accuracy of 89.5% on cross-validation and 92.3% on independent data.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029596","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
[ICORIS 2020 Title Page] [ICORIS 2020 Title Page]
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/icoris50180.2020.9320790
{"title":"[ICORIS 2020 Title Page]","authors":"","doi":"10.1109/icoris50180.2020.9320790","DOIUrl":"https://doi.org/10.1109/icoris50180.2020.9320790","url":null,"abstract":"","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403458","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
Prediction for Diagnosing Liver Disease in Patients using KNN and Naïve Bayes Algorithms 利用KNN和Naïve贝叶斯算法预测肝病的诊断
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320797
H. Hartatik, Mohammad Badri Tamam, A. Setyanto
{"title":"Prediction for Diagnosing Liver Disease in Patients using KNN and Naïve Bayes Algorithms","authors":"H. Hartatik, Mohammad Badri Tamam, A. Setyanto","doi":"10.1109/ICORIS50180.2020.9320797","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320797","url":null,"abstract":"There is a lot of data on patients who undergo medication or medical examinations at the hospital and this is information that must be extracted so that it can provide information for future improvement conditions, meaning that past data can be used as a prediction basis for liver disease in patients. This is very beneficial for medical personnel and also for patients if they experience symptoms that match the symptoms felt by a patient. This project uses machine learning because it involves big data and past data is used to predict future data. Referring to previous research in reference that the results of the evaluation are varied. So in this study, The proposed strategy to performance optimization is carried out based on training data and variables that affect the model. Based on the results of calculations and analysis, it was found that the performance evaluation values were area under the curve(AUC) for naïve Bayes algorithm is 72.5% and k-nearest neighbour (KNN) of 63.19%.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215582","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: 13
Linear Stability Analysis to Determine Boundary Between Stable or Unstable Flow in Nonlinear Simulation of Vorticity Equation 非线性涡量方程模拟中确定稳定或不稳定流动边界的线性稳定性分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320795
Farida Nurmala Sihotang, T. Sari
{"title":"Linear Stability Analysis to Determine Boundary Between Stable or Unstable Flow in Nonlinear Simulation of Vorticity Equation","authors":"Farida Nurmala Sihotang, T. Sari","doi":"10.1109/ICORIS50180.2020.9320795","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320795","url":null,"abstract":"The nonlinear simulation of the vorticity equation is exciting because it provides a more realistic view, it is consistent with the previous investment. However, a linear stability analysis is needed to determine the stability limit of the system, which serves as a guide in determining the flow limits for stable and unstable flows. We use numerical methods to solve this linear stability analysis. This analysis utilizes the Fourier series in the linear form of the vorticity equation, then the vorticity-stream equation containing the Fourier coefficient will be formed in the matrix. Next, numerically using Matlab, we look for the eigenvalues of the matrix to determine the k, beta and Reynolds number values. If one of the eigenvalues has a real positive form given k, beta, and Reynolds number, then the equilibrium solution of the vortex equation is unstable. From graphing the real part of the eigenvalues, which is a function of the Reynolds number for some beta with k = 0.5, we get the critical point of the Reynolds number. By using a Reynolds number greater than the critical Reynolds number give result in an unstable fluid from the simulation. Vice versa, simulation using the Reynolds number, which is smaller than the critical Reynolds number will produce a stable flow. And from the linear stability curve, we know that for k > 1, the flow is stable for every Reynolds number.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134360476","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
Android Application Food Delivery Services 安卓应用送餐服务
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320843
L. Laoh, Timothy Adithia Pongantung, Carolin Mulalinda
{"title":"Android Application Food Delivery Services","authors":"L. Laoh, Timothy Adithia Pongantung, Carolin Mulalinda","doi":"10.1109/ICORIS50180.2020.9320843","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320843","url":null,"abstract":"This research aims to offer an android based food delivery service application to ease customer to meet their order. The setting of this application is Airmadidi, the capital of North Minahasa area, in the North Sulawesi Province that offers delicious culinary by restaurants and cafes and well-known culinary destination in North Sulawesi. The existing applications used in this area still leaves other food and beverages supplier disconnected with their customers. Thus, some customers still have to come and pick up their order themselves. On the other hand, suppliers with good quality food and beverages yet have a lack of financial resources could not reach their customers with time constraints. As more people use smartphones and become more dependent on it, the potential to introduce an android based application for local needs in facilitating the needs is promising. This provides an opportunity for the developed app to fill the gap left by the existing applications in the market.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129265310","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
K-Nearest Neighbor and Naive Bayes Classifier Comparison for Individual Character Classification on Twitter 基于k近邻和朴素贝叶斯分类器的Twitter个人字符分类比较
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320759
Ema Utami, Suwanto Raharjo, Anggit Dwi Hartanto, Sumarni Adi, Aminudin Noor Ichsan
{"title":"K-Nearest Neighbor and Naive Bayes Classifier Comparison for Individual Character Classification on Twitter","authors":"Ema Utami, Suwanto Raharjo, Anggit Dwi Hartanto, Sumarni Adi, Aminudin Noor Ichsan","doi":"10.1109/ICORIS50180.2020.9320759","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320759","url":null,"abstract":"Twitter is one of the most commonly used social media, especially in Indonesia. People use Twitter social media to express their opinions every day. This allows the DISC method to be applied to find out Twitter user's character. By knowing their characters using the DISC method and Twitter, this can help parties like the HRD without spending more effort in selecting employees. Three main processes are performed in this study, data acquisition, pre-processing, and calculation process. Classification methods, namely Text Naïve Bayes Classifier algorithm and K - Nearest Neighbor, are used to classified and mapping tweet data to the DISC method. As a result, the accuracy of the Naïve Bayes Classifier algorithm is 34.16%, while the K – Nearest Neighbor is 28.33%. So it can be concluded that the Naïve Bayes Classifier algorithm has a higher accuracy of 5.83% compared to K – Nearest Neighbor in classifying a Twitter account with TF-IDF Weighting into DISC method.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"53 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115398958","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
Android Application Market Prediction Based on User Ratings Using KNN 基于KNN用户评分的Android应用市场预测
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320812
Green Arther Sandag, Fidy Gara, Irfan
{"title":"Android Application Market Prediction Based on User Ratings Using KNN","authors":"Green Arther Sandag, Fidy Gara, Irfan","doi":"10.1109/ICORIS50180.2020.9320812","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320812","url":null,"abstract":"Google play store is a digital distribution service operated and developed by Google. It provides various applications that can be downloaded directly on Android devices, allowing users to browse and download their desired applications. When they search for an app, users can see the list of applications with the name and its rating on its side. It is helping users to choose the best application based on the application rating. Developers use their strategy in naming their applications attractively to increase their rating. In this paper, we create a market prediction modeling based on user rating for Android apps on Google Play Store throughout 2019 using the KKN algorithm. After that, we perform a feature engineering and an analysis using exploratory data analysis to find information in the dataset. By doing k=1-20 iteration, we can determine the best k value in KNN. We used 5-fold cross-validation to evaluate model, which is created with 88.68% accurate result, a recall of 87.46%, a precision of 89.5%, and an RMSE of 0.213. The generated model has a better performance compared to another algorithm, with a 10% increased accuracy.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114439769","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
Twitter Data Analysis Using Machine Learning To Evaluate Community Compliance in Preventing the Spread of Covid-19 使用机器学习评估社区合规性以防止Covid-19传播的推特数据分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320816
Nugroho Setio Wibowo, Rendy Mahardika, Kusrini Kusrini
{"title":"Twitter Data Analysis Using Machine Learning To Evaluate Community Compliance in Preventing the Spread of Covid-19","authors":"Nugroho Setio Wibowo, Rendy Mahardika, Kusrini Kusrini","doi":"10.1109/ICORIS50180.2020.9320816","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320816","url":null,"abstract":"The Covid-19 pandemic that has hit the world, including Indonesia, has forced the government to take policies to prevent the spread of this deadly virus. One of the efforts is socialization to gain people's awareness to keep their distance and stay home. One of the media that can be used for this purpose is Twitter. However, even socialization efforts have been carried out, the spread of Covid-19 cases still has not yet decreased. Many aspects have to be evaluated to fix the situation. One of them is to evaluate the level of community compliance compared to the spread of Covid-19. This study aims to determine the level of community compliance to stay at home and its correlation with the number of positive cases of Covid-19 in Indonesia. This study takes the data from the tweets of the Indonesian people. The algorithms used are logistic regression and random forest combined with the ensemble algorithm, namely bagging. Twitter data taken are those that contain the word covid19, tetapdirumah, stayathome, mudik, psbb; location in Indonesia within a period of March 3rd to July 7th 2020. The data obtained from 705 tweets shows that non-compliance community has increased starting mid-June 2020 which is in line with the increasing data trend on the Covid-19 cases in Indonesia.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124609715","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 Vulnerability Webserver Office Management of Information And Documentation Diskominfo using OWASP Scanner 利用OWASP扫描器进行Webserver Office信息文档管理的漏洞分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320833
Agung Wijayanto, Ema Utami, Agung Budi Prasetio
{"title":"Analysis of Vulnerability Webserver Office Management of Information And Documentation Diskominfo using OWASP Scanner","authors":"Agung Wijayanto, Ema Utami, Agung Budi Prasetio","doi":"10.1109/ICORIS50180.2020.9320833","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320833","url":null,"abstract":"Cases of lost scripts/programs have occurred, but the server crashed due to electrical problems for problems related to attacks whose impact is felt, namely the type of defacing attack. However, his hopes of this research outside of the attack could secure it before another attack case. There are various kinds of attacks, for example, such as cross-site scripting (XSS) attacks. This case has not yet happened, and the web server admin hopes to secure it early, so there are no data/information loss cases. Data/information that is more important on this website than other data is data/information from the Information Management and Documentation Officer. Vulnerability is a loophole that people often use not for getting the data and information they need in any way. This research type of research uses action research methods, the nature of this research uses quasi-experimental research, and the approach conducted by researchers used a quantitative approach. The research was carried out using the OWASP scanner approach on the Diskominfo web server, with the hope of providing solutions or recommendations to the webserver admin in implementing web server security as needed.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114974400","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
The Blockchain Manifesto 区块链宣言
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320798
U. Rahardja, Q. Aini, Md. Asri Ngadi, Marviola Hardini, Fitra Putri Oganda
{"title":"The Blockchain Manifesto","authors":"U. Rahardja, Q. Aini, Md. Asri Ngadi, Marviola Hardini, Fitra Putri Oganda","doi":"10.1109/ICORIS50180.2020.9320798","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320798","url":null,"abstract":"The process of implementing education globally basically cannot keep up with current developments. The education sector is currently facing various problems; in this case, the issue of verification and the existence of a third party in handling certificates are the micro and macro results of a learning process. A lighthouse about Blockchain technology is often cited as one of the revolutionary solutions to educational polemics so far. The combination of educational technology with blockchain technology will create revolutionary technology in the education industry. There are various kinds of insight from this problem, but this cannot explain the blockchain manifesto in detail from education for learning based on scientific studies. This blockchain manifesto in the future will be useful as a literature platform for researchers who will begin basic and applied research leading to blockchain for education. Besides, in terms of cost, storage space, and blockchain technology speed, a solution will be proposed in the form of a framework. As a result, this research can also become a new blockchain platform and manifesto as the blockchain technology-based government's embryo.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630892","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: 34
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