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

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Student Prediction of Drop Out Using Extreme Learning Machine (ELM) Algorithm 使用极限学习机(ELM)算法预测学生退学
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320831
M. Sa’ad, Kusrini, M. S. Mustafa
{"title":"Student Prediction of Drop Out Using Extreme Learning Machine (ELM) Algorithm","authors":"M. Sa’ad, Kusrini, M. S. Mustafa","doi":"10.1109/ICORIS50180.2020.9320831","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320831","url":null,"abstract":"The purpose of this study was to predict students dropping out of the Education Management Doctoral Program of FKIP Mulawarman University and to evaluate the Extreme Learning Machine in predicting student dropouts. This research uses the Extreme Learning Machine algorithm, the feedforward neural network learning method and the Support Vector Machine algorithm for comparison of the level of accuracy using the same data. The data used is as much as 110 data according to the number of students from the class of 2012 to 2018, the data is taken from the SIA Education Management Study Program of the Mulawarman University Doctoral Program and then processed. In this case, how to predict student dropouts using the variable Gender, Semester 3 IP Value, Working Status, Family Status, Age, and using two DO and NON DO Classes? And calculating the accuracy value using a confusion matrix ?. From the results of this study, it can be concluded that students drop out in the Educational Management of the FKIP Mulawarman University Doctoral Program can be predicted by Extreme Learning Machine using the training value obtained from semester 3 of the 2012-2018 class. From the results of testing the predictive accuracy of the Extreme Learning Machine is 72 %.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"32 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":"116676595","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
Data Mining For Inventory Forecasting Using Double Exponential Smoothing Method 基于双指数平滑法的库存预测数据挖掘
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320765
Erfan Hasmin, Nur Aini
{"title":"Data Mining For Inventory Forecasting Using Double Exponential Smoothing Method","authors":"Erfan Hasmin, Nur Aini","doi":"10.1109/ICORIS50180.2020.9320765","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320765","url":null,"abstract":"PT. Sentral 88 Maros is a company engaging in food and house appliances procurement. In its daily activities, PT. Sentral 88 Maros has problems in determining its stock, where it is usually available in excess, nor it can cause loss with the additional cost for storage to keep the stock. One way to meet the availability of the goods is by identifying the number of demand for the following period, so the company can provide goods without overloading or running out of stock in the warehouse. Based on this background, the research built a system using Double Exponential Smoothing method. Forecasting with time series is a quantitative method in processing the data of some previous periods that were collected using the right technique. The results of the forecasting were used as a reference in forecasting value in the next period. The existing data set were used from April 2019 to September 2019 and the conclusion for forecasting the frozen food (So Good Bakso Goreng 120gr) was 14 with an error level of MAPE calculation by 2.1%.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"27 Suppl 2 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":"133047386","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
Inter-Structure and Intra-Structure Similarity of Use Case Diagram using Greedy Graph Edit Distance 基于贪婪图编辑距离的用例图结构间和结构内相似性研究
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320840
Fatimatus Zulfa, D. Siahaan, Reza Fauzan, Evi Triandini
{"title":"Inter-Structure and Intra-Structure Similarity of Use Case Diagram using Greedy Graph Edit Distance","authors":"Fatimatus Zulfa, D. Siahaan, Reza Fauzan, Evi Triandini","doi":"10.1109/ICORIS50180.2020.9320840","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320840","url":null,"abstract":"Use case diagram is one of the behaviour diagrams in UML diagrams. It models the basic needs of users and how users and systems interact to achieve them. Each use case diagram forms a structure which abides a set of standard notations and grammar. Therefore, we can measure the structural similarity between the two use case diagrams. Measuring the similarity of two use case diagram structures can help in the process of reusing diagrams, detecting clones, and assessing learning results. This study proposes an advanced method to measure the structural similarity between the two use case diagrams. Each use case diagram is translated into a graph. The graph represents the inter-structure and intra-structure of a diagram. The graph inter-structure models the interaction between the main use cases and their actors. In comparison, the graph intra-structure models the detailed structure descriptions of every main use case. The similarity between the two represented graph calculates using Greedy Graph Edit Distance. Our experimental result shows that the proposed graph can measure the similarity of the use case structural diagram. The Greedy Graph Edit Distance also can calculate the similarity other UML diagrams for the specific purpose.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"74 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":"127076556","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
A Survey on Microaneurysms Detection in Color Fundus Images 眼底彩色图像微动脉瘤检测方法综述
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320818
A. Siswadi, S. Bricq, F. Mériaudeau
{"title":"A Survey on Microaneurysms Detection in Color Fundus Images","authors":"A. Siswadi, S. Bricq, F. Mériaudeau","doi":"10.1109/ICORIS50180.2020.9320818","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320818","url":null,"abstract":"Early Detection of Microaneurysms (MA) plays a vital role in preventing the blindness caused by diabetic retinopathy (DR). DR is preventable yet a serious diabetic problem. Treatment at an earlier stage reduces the risk of blindness. Microaneurysm is the first sign of DR found in fundus images while doing screening. Detection of MA is a challenging task mainly because of its size. MA appears as a tiny red spot ranging from 15µm to 60µm size. The most common way to detect the MA from a colour fundus image is by classification/segmentation through machine learning and deep learning approaches. The FROC-based performance evaluation shows that the existing methods can reach only up to 80% of sensitivity at 8 False Positive per Image on average. In recent researches, machine learning and deep learning approaches are equally competing each other to be better in detecting MA both in lesion level as well as pixel-level.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"13 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":"128044763","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
Analysis Voltage Stability in the Interconnection of Battery Charging Station and Renewable Energy 电池充电站与可再生能源互联电压稳定性分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320761
L. Gumilar, Mokhammad Sholeh, Stieven Netanel Rumokoy, Dezetty Monika
{"title":"Analysis Voltage Stability in the Interconnection of Battery Charging Station and Renewable Energy","authors":"L. Gumilar, Mokhammad Sholeh, Stieven Netanel Rumokoy, Dezetty Monika","doi":"10.1109/ICORIS50180.2020.9320761","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320761","url":null,"abstract":"The functioning of an Electric Vehicle ( EV) depends on the charging station for batteries (BCS). If the electrical energy of the EV runs out, then the electrical energy must go to the BCS to recover. In general, BCS is interconnected with systems of electric power. The presence of the BCS, however, will cause the bus voltage to become unstable. The point of this study is to examine voltage stability following BCS interconnection with electrical power systems and renewable energy. The IEEE 14 bus standard is the electric power system used. In order to boost voltage instability and the function of distributed generation ( DG), renewable energy is a solution. Photovoltaic and wind power plants are the newest forms of energy used. Study of stability using the curves P-V and Q-V. The method of testing is carried out by continuing to increase BCS power. It will cause the voltage drop to hit the critical point, the greater the active and reactive power on the BCS bus. In addition, four scenarios are made for comparison. Based on voltage stability, all voltage stability results are compared and selected. It can be concluded that scenario 3 is better than other scenarios, based on all the outcomes of the scenario. Scenario 4 has almost the same performance as scenario 3. Wind power plants with a capacity of 2 MVA are the power plants that make Scenario 3 better. Compared to photovoltaics, the resulting stable region has a broader spectrum.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"106 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":"115549513","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
Systematic Literature Review Of Hate Speech Detection With Text Mining 基于文本挖掘的仇恨语音检测系统文献综述
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320755
R. Rini, Ema Utami, A. D. Hartanto
{"title":"Systematic Literature Review Of Hate Speech Detection With Text Mining","authors":"R. Rini, Ema Utami, A. D. Hartanto","doi":"10.1109/ICORIS50180.2020.9320755","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320755","url":null,"abstract":"Along with the increasing activity on social media, hate speech is getting out of control. Hate speech detection can be done by utilizing text mining technology. There have been many hate speech detection studies conducted. To identify and analyze research trends, data sources, methods and features used in hate speech detection, this systematic literature review was created. Until early 2020, the topics of hate speech were found, including hate speech against minorities, religion, women, the general election agenda, and politics. Sources of data that are widely used to be used as datasets come from twitter. Hate speech is not only classified into HS (hate speech) and Non-HS (non-hate speech) but can be further classified into racism, sexism, offensive, abusive, threats of violence and others. Of the 38 studies that meet inclusion and exclusion, there are 26 algorithms and 28 features that have been used to detect hate speech. However, these methods and features do not necessarily guarantee a good hate detection performance. Hate speech classification performance is also influenced by the dataset, the features chosen, the number of classes and mutually exclusive classes.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"2 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":"132334006","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
Ontology of Education Using Blockchain: Time Based Protocol 使用区块链的教育本体:基于时间的协议
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320807
Marviola Hardini, Q. Aini, U. Rahardja, Ria Dwi Izzaty, A. Faturahman
{"title":"Ontology of Education Using Blockchain: Time Based Protocol","authors":"Marviola Hardini, Q. Aini, U. Rahardja, Ria Dwi Izzaty, A. Faturahman","doi":"10.1109/ICORIS50180.2020.9320807","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320807","url":null,"abstract":"Education is a business process that has been a pillar of government for centuries in building the nation. The method of organizing knowledge globally does not change according to the times. Various problems currently faced by education service providers, especially at the tertiary level, in this case, call it the problem of authentication and certificate verification, which are the micro and macro outputs of a learning process. People are getting lighthouses about blockchain, the solution to educational polemic problems. The combination of science between education and blockchain technology will create a new revolution in the education industry that is felt to be stagnant and incompatible with current developments. There are various kinds of insights from this solution. Still, it is not enough to explain the ontology of education using blockchain, which, as a whole, discusses the existence of blockchain for education based on scientific studies. Ontology for knowledge will be useful as a literature platform for young researchers, especially in universities, to start basic and applied research that leads to blockchain in education. Besides, blockchain technology has weaknesses and inefficiencies, namely in terms of cost, storage space, and speed. Solutions will be proposed through this research regarding on-chain and off-chain protocols in Time Based Protocol (TBP), which is part of Blockchain technology. As a result, this research can also become the foundation for new platforms and frameworks as a solution for the government in launching blockchain-based education, which is a pioneer in creating a blockchain-based government.","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":"130890098","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: 31
Student Attendance using Face Recognition Technology 使用人脸识别技术的学生考勤
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320819
J. F. Rusdi, Frans Richard Kodong, R. E. Indrajit, Herry Sofyan, Abdurrohman, R. Marco
{"title":"Student Attendance using Face Recognition Technology","authors":"J. F. Rusdi, Frans Richard Kodong, R. E. Indrajit, Herry Sofyan, Abdurrohman, R. Marco","doi":"10.1109/ICORIS50180.2020.9320819","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320819","url":null,"abstract":"In the world of education, recording student attendance is one crucial element. Student presence record is one of the determinants of student graduation. In almost every education field, attendance records that accurately recorded. The presence of facial recognition technology is one of the solutions used to record student attendance during class meetings. This article discusses the model of student attendance recording that can become part of the campus academic information system. The technologies used in recording student attendance include face recognition technology through Computer Vision and Matlab. This study discusses the system module and the factors that affect the accuracy and performance of the system. This model can be the basis for developing student attendance systems at universities or other educational institutions. This study proves that the process of recording through face recognition has the potential to be applied to educational systems in institutions, both as the primary system or as a support system of an existing system.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"24 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":"123171614","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: 4
Evaluation of Service Quality of Manado City Government Website with E-GovQual Approach to Calculate Importance Performance Analysis 用E-GovQual方法计算重要性绩效分析的万纳多市政府网站服务质量评价
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320842
Edson Yahuda Putra, Prince George Imanuel
{"title":"Evaluation of Service Quality of Manado City Government Website with E-GovQual Approach to Calculate Importance Performance Analysis","authors":"Edson Yahuda Putra, Prince George Imanuel","doi":"10.1109/ICORIS50180.2020.9320842","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320842","url":null,"abstract":"The rapid advancement of information technology along with its potential for widespread use opens opportunities for accessing, managing and utilizing information in the global era. In accordance with Presidential Regulations No. 3 of 2003, policies and strategies for e-Government development with its applications, mainly Manado City Government Official Website, are crucial within each of its social level adapting in its ever-evolving global changes. Importance Performance Analysis (IPA) method will be used after the questionnaire approach has been done to find the result through mapping the attributes with IPA Cartesians diagram. Based on the results of the analysis of the suitability level, it found a value of <100% i.e. 91.94% and the results of the gap level with a comparison difference of -0.09595559. Based upon the IPA quadrant, the result concluded that some quality attributes are needed to be improved. Therefore, the services in Manado City Government Website is at its finest and almost reached the expectations to optimize use of information and communication technology.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"21 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":"122490129","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
Structural Similarity Measurement using Graph Edit Distance-Greedy on State chart Diagrams 用图编辑距离贪心测量状态图的结构相似度
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320764
Hidayatul Munawaroh, D. Siahaan, Reza Fauzan, Evi Triandini
{"title":"Structural Similarity Measurement using Graph Edit Distance-Greedy on State chart Diagrams","authors":"Hidayatul Munawaroh, D. Siahaan, Reza Fauzan, Evi Triandini","doi":"10.1109/ICORIS50180.2020.9320764","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320764","url":null,"abstract":"With the emergence of the need for online learning, the automatic grading system is inevitable requirements in an e-learning system. The automatic grading system in software design courses requires a method for measuring similarity between the key-answer design and student-answer designs. There have been several efforts to develop methods for measuring the design similarity. The similarity measurement that has been developed based on semantic or structural aspects of the design. Nevertheless, the purpose of those methods is to reuse software designs. This study proposes a graph representation of the State chart diagram. The graph models the structural aspects of the State chart diagram. This study also proposes the use of Graph Edit Distance (GED) greedy for calculating the structural similarity between two graphs. Graph representation of the State chart diagram is used as input to the GED-greedy method. The results show that all parameters used can determine the structural similarity between two State chart diagrams with graph representation of the State chart diagram as input. State chart similarity results obtained were 0.83.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"14 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":"126611943","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
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