2021 4th International Conference of Computer and Informatics Engineering (IC2IE)最新文献

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Ratcliff/Obershelp Algorithm as An Automatic Assessment on E-Learning Ratcliff/Obershelp算法在电子学习中的自动评估
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649217
Rizki Elisa Nalawati, Azka Dini Yuntari
{"title":"Ratcliff/Obershelp Algorithm as An Automatic Assessment on E-Learning","authors":"Rizki Elisa Nalawati, Azka Dini Yuntari","doi":"10.1109/ic2ie53219.2021.9649217","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649217","url":null,"abstract":"There have been many major changes in the education sector due to the closure of educational institutions to suppress the spread of the Covid 19 pandemic, one of which is teaching methods in Indonesia. Problems arise when schools have to use e-learning for students and online assessments have to be done. It is known that difficulties are experienced when taking semester exams or when teachers give assignments online. This study applies text mining techniques using the Ratcliff/ Obershelp algorithm to determine the similarity value between two strings, namely between student answers and the teacher's answer key. A collection of answer data obtained from one of the 6th grade teachers at elementary school and applied to the Examz web application. This application is built to find out the status of answers based on the error tolerance that has been predetermined by the teacher. The results of this study indicate that the Ratcliff/ Obershelp algorithm has achieved a correction accuracy rate of 90% in Natural Science subjects, 93% in social science, 83% in Civil Education, 91% in SBK, and 97 in Religion. The final result for the average accuracy of the application is 91.00% in determining the status of student answers.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125451801","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
Multiple Convolutional Neural Networks in EEG Emotion Recognition 多卷积神经网络在EEG情绪识别中的应用
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649215
Hana Dwi Khairunissa, Esmeralda Contessa Djamal, Arlisa Wulandari
{"title":"Multiple Convolutional Neural Networks in EEG Emotion Recognition","authors":"Hana Dwi Khairunissa, Esmeralda Contessa Djamal, Arlisa Wulandari","doi":"10.1109/ic2ie53219.2021.9649215","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649215","url":null,"abstract":"Emotion is a psychological activity in controlling feelings, whether consciously or not. Emotions recognition can use neuropsychology signals obtained through the Electroencephalogram (EEG) device. EEG recording has a multi-channel that is taken from some area in the brain. Each channel provides information from a specific part of the brain, so the signals need to be processed in parallel. The multi-channel recording enriches emotional information so that the signal recognition of each channel is combined with the fusion function. In this way, multi-channel processing does not interfere with the signal sequencing within each channel. Convolutional Neural Networks (CNN) is one of the methods that can learn and recognize patterns in one area, such as the eye. This paper proposed multiple CNN to recognize emotion. First, the EEG is filtered using a wavelet to get a frequency component of 4-45 Hz that represents the characteristics of negative, neutral, or positive emotions. The frequency band contains Theta, Alpha, Beta, and Gamma waves. The experiment gave that Multiple CNN increased accuracy from 64.14% to 80.66% compared to Single CNN. In addition, a wavelet filter to maintain the signal sequence can obtain slightly better accuracy results than wavelet extraction.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121830648","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 Knowledge Management Readiness with an Embedded Method: A Case Study of an After-Sales Service Organization in PT XYZ 基于嵌入式方法的知识管理准备度分析:以XYZ公司某售后服务机构为例
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649265
Sepdiyanto, D. I. Sensuse, J. Sofian Lusa, Nadya Safitri, Damayanti Elisabeth, Ikhsan Mirza Harwanto
{"title":"Analysis of Knowledge Management Readiness with an Embedded Method: A Case Study of an After-Sales Service Organization in PT XYZ","authors":"Sepdiyanto, D. I. Sensuse, J. Sofian Lusa, Nadya Safitri, Damayanti Elisabeth, Ikhsan Mirza Harwanto","doi":"10.1109/ic2ie53219.2021.9649265","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649265","url":null,"abstract":"The establishment of a business, in general, is to create customers to be able to maintain the sustainability of the company. Knowledge has an essential role in improving the achievement of the company. By managing knowledge properly, it can increase the achievement of the company. This research is motivated by differences in the achievement of KPI targets between branches which are much different. Less than 30% of branch offices can achieve the target, resulting in unfulfilled achievements. Implementation of knowledge management is one way to improve company achievement, but 50-70% of companies fail in implementing knowledge management because it is only based on theory without considering organizational conditions and readiness. Measurement of implementation readiness is expected to reduce the risk of failure. The purpose of this study is to measure the readiness for the implementation of a knowledge management system. The method used in this study is a mixed-method, namely qualitative and quantitative research. The researcher builds the factors from a systematic literature review by mapping the critical factors of the implementation of knowledge management obtained 21 factors. Business experts validate and add three factors to accumulate as many as 24 factors, then weighted using AHP to organizational experts, and the results are multiplied by the instrument to calculate the level of KM readiness. The results of this study are the level of KM readiness at PT XYZ with a value of 84% or at the stage of being ready to apply knowledge management. Still, factors with values below 75% need to be better prepared, namely informal factors, training, technical knowledge, and responsibility.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127833918","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
Application for Early Heart Disease Prediction Based on Data Mining Approach 基于数据挖掘方法的早期心脏病预测应用
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649419
Eka Miranda, Mediana Aryuni, C. Bernando, Andrian Hartanto
{"title":"Application for Early Heart Disease Prediction Based on Data Mining Approach","authors":"Eka Miranda, Mediana Aryuni, C. Bernando, Andrian Hartanto","doi":"10.1109/ic2ie53219.2021.9649419","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649419","url":null,"abstract":"The purpose of this study was to develop an application for early heart disease prediction using a data mining approach. A clinical dataset of 303 patients was gathered from the UCI repository that was available at http://archive.ics.uci.edu/ml/datasets/Heart+Disease. There were 13 attributes that were used to classify the patient into two class predictions namely No presence or Have heart disease. Machine learning with CART algorithm used for backend. Flask micro web framework used for middleware and Bootstrap web framework used for frontend. The experiment result performed the application for early heart disease prediction with CART achieved performance for accuracy 88.33%, precision 88.00%, F Measure 86.28%, recall 84.62%.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132809666","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
Fuzzy Time Series using Chen and Lee Model to Predict COVID-19 in Aceh Indonesia 基于Chen和Lee模型的模糊时间序列预测印尼亚齐省新冠肺炎疫情
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649283
S. Saadah, Mochamad Agung Permana
{"title":"Fuzzy Time Series using Chen and Lee Model to Predict COVID-19 in Aceh Indonesia","authors":"S. Saadah, Mochamad Agung Permana","doi":"10.1109/ic2ie53219.2021.9649283","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649283","url":null,"abstract":"Indonesia as a development country with huge of population and has five big islands need to study further about spread of COVID-19, especially in Aceh. Aceh is surrounded by water on three sides that are the Indian Ocean to the west and north and the Strait of Malaca to the east. Aceh as one of the provinces in Indonesia severe earthquakes in December 2004. To help monitor Aceh population, thus, in this study Aceh was chosen as the province to predict of survival COVID-19 that classify to ODP, PDP, and Positive using fuzzy time series approach. Fuzzy time series in one of the methods that have been used to predict seasonal issue, such as pandemic COVID-19. By using Chen and Lee model, this approach succeeds to fit the data actual during the predict phase.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133514599","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
System Usability Scale and Net Promoter Score on Donation Application of Toddlers Equipment 幼儿装备捐赠申请的系统可用性量表及净推荐值
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649186
Iklima Ermis Ismail, Rizki Elisa Nalawati, Anrel Putra
{"title":"System Usability Scale and Net Promoter Score on Donation Application of Toddlers Equipment","authors":"Iklima Ermis Ismail, Rizki Elisa Nalawati, Anrel Putra","doi":"10.1109/ic2ie53219.2021.9649186","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649186","url":null,"abstract":"Donation application of Toddler Equipment was developed to answer the question of how to treat the waste of equipment suitable for use by toddlers who have been contributing to increasing the amount of waste in Indonesia. The development of this system is adjusted to the needs of the related orphanage. So that its use will be right on target. One of the main things that must be done in developing this system is to do usability testing. In this study, a test will be conducted on the toddler equipment donation application by combining the SUS method to measure usability and the Net Promoter Score (NPS) method to measure user satisfaction and user willingness to recommend the system to others. This study involved 30 respondents who were divided into two groups, namely posyandu (Integrated Healthcare Center) as admins and the second is donors. Sampling selection using non-random sampling. The SUS method is reliable for measuring system scope from small to large. This is because there is no relationship between sample size and reliability. Where by using the SUS method have a score of 71.57. It is classified as a good product and the results of using NPS get a value of 49% which means excellent NPS. SUS and NPS is effective way to evaluate the application, but neither System Usability Scale or Net Promoter Score cannot answer details about what must be done to improve usability.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"54 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113938073","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
Comparison Analysis of Acorn Algorithm and Snow Algorithm on Smart Card using Java Card Acorn算法与Snow算法在Java智能卡上的比较分析
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649079
H. Nurwarsito, Sarah Kusuma Ayu
{"title":"Comparison Analysis of Acorn Algorithm and Snow Algorithm on Smart Card using Java Card","authors":"H. Nurwarsito, Sarah Kusuma Ayu","doi":"10.1109/ic2ie53219.2021.9649079","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649079","url":null,"abstract":"Data theft and manipulation are threats that often occur in the use of smart cards. The data stored on the smart card will be changed when the data exchange is carried out, so that data with different contents will be received by the recipient. Cryptography is a solution that can be used to secure data on a smart card so that its contents cannot be changed. Acorn's algorithm is an algorithm that can guarantee its security aspects in terms of confidentiality and authentication. Snow's algorithm is an algorithm that is designed to be implemented on hardware. Acorn's Algorithm and Snow's Algorithm can be implemented on resource-limited devices such as smart cards because both algorithms are lightweight. The encrypted data on the smart card is the user ID and user balance, the data will be converted into ciphertext so that it cannot be read or changed by unauthorized parties. Test vector testing, and encryption and decryption performance testing are carried out to ensure the system can run properly. The results of the average performance of encryption and decryption time in the Acorn algorithm are 5.3ms of encryption time and 5.9ms of decryption time, while the meantime of encryption in the snow algorithm is 5.4ms and 2.4ms of decryption time.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121407264","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
Counting the Number of Moving Vehicles by Its Type Based on Computer Vision 基于计算机视觉的移动车辆类型计数
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649021
Y. Sari, A. Baskara, Khair Zuniar Rahman, P. B. Prakoso
{"title":"Counting the Number of Moving Vehicles by Its Type Based on Computer Vision","authors":"Y. Sari, A. Baskara, Khair Zuniar Rahman, P. B. Prakoso","doi":"10.1109/ic2ie53219.2021.9649021","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649021","url":null,"abstract":"Traffic jam, lack of adequate information of the traffic low used for development of road infrastructure to reduce traffic jam, and possibility of human error in the execution of a heavy traffic survey become the primary background of this study. By using information technology, open up an opportunity for the development of monitoring system computer vision based. This study will calculate the total amount of moving vehicles based on its type with computer vision based with staged: ROI selection, image segmentation with Gaussian Mixture Model method, filtering process, blob detection and tracking, and vehicles classification with Fuzzy Clustering Means. Implementation of an application using visual studio 2010. The output comprises result of classification and total amount vehicles based on its type. The test application divided into a few test scenarios, namely test 1, test 2, test 3 and test 4. The accuracy obtained on each test are 36.27%, 50.47%, 60.75%, and 67.00% respectively.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121455990","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
Forecasting Pet Food Item Stock using ARIMA and LSTM 使用ARIMA和LSTM预测宠物食品库存
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649271
Muhammad Syafiq Ahnaf, A. Kurniawati, Hilman Dwi Anggana
{"title":"Forecasting Pet Food Item Stock using ARIMA and LSTM","authors":"Muhammad Syafiq Ahnaf, A. Kurniawati, Hilman Dwi Anggana","doi":"10.1109/ic2ie53219.2021.9649271","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649271","url":null,"abstract":"The procurement process by a company must be calculated as well as possible so that the goods or services needed by the company can be met with minimum cost. Time series forecasting is a method of predicting future events based on a set of observations in a period of time. ARIMA is a forecasting model that is used for short-term forecasting. ARIMA has some limitations with the forecast do not follow the pattern of actual series and can be applied if the data is stationary. LSTM is a modified RNN that is proposed to learn long-range dependencies across time-varying. This paper discusses forecasting one of the products that are sold on veterinary using ARIMA and LSTM so the veterinary can decide to sell the product in the future. Data that used in this forecasting were data sales of therapeutical animal food in Vet to Pet that consist of 38 data. Data splitting in this forecasting were divided into 85% of training data and 15% of testing data. Model building for forecasting was using the packages that included in Python. RMSE was used for comparing model evaluation of ARIMA and LSTM. The best method that used in forecasting therapeutical animal food was ARIMA with an RMSE value of 9.27.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225055","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
Quality Improvement Recommendations of SMAN 5 Bandar Lampung Website using Collaboration of ISO/IEC 25010:2011 and Importance Performance Analysis 基于ISO/IEC 25010:2011和重要性绩效分析的sman5楠榜岛网站质量改进建议
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649394
Dessy Maranatha Sihombing, Y. Priyadi, Rosa Reska Riskiana
{"title":"Quality Improvement Recommendations of SMAN 5 Bandar Lampung Website using Collaboration of ISO/IEC 25010:2011 and Importance Performance Analysis","authors":"Dessy Maranatha Sihombing, Y. Priyadi, Rosa Reska Riskiana","doi":"10.1109/ic2ie53219.2021.9649394","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649394","url":null,"abstract":"For students, schools, and society, a school website is an essential thing. However, it is rare to analyze the quality of school websites, where prior research has focused more on analyzing e-government and university academic websites. In order to remain optimal and maintain its quality, a school website also needs to be evaluated regularly. In general, recommendations for quality improvement of the website will be determined in this report. To understand the existing system as the basis for collecting data and information, UML artifacts are used, i.e., requirement statements, use case diagrams, and class diagrams. The approaches utilized in this study, i.e., ISO/IEC 25010:2011 as a universal quality measurement standard and Importance Performance Analysis (IPA), to determine each item's priority for website improvement to improve quality. According to the analyzed data, the current website's performance score average is 3.29, with a negative gap (−0.22). Additionally, the existing website also has issues indicated by items in quadrant I, i.e., US2, US8, FS3, PE2, IQ2, IQ3, and IQ4. These items are the main priority for website improvement. Through these improvements, website performance has increased by 0.41, which means the average improved website performance is 3.70 with a positive gap (0.19). These results indicate that users are satisfied with the improved website performance.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134207791","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
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