Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699164
A. Safira, P. W. Handayani, A. Pinem
A decrease in face-to-face encounters between people has been caused by social distancing measures, which are promoted to reduce the spread of COVID-19. This has led to a switch from direct meetings to virtual meetings, leading to an increase in the use of video conferencing applications to communicate. The goal of this study is to explore the factors that could influence satisfaction and the decision to continue using video conferencing applications. The respondents consisted of 556 people who had used video conferencing applications in the previous three months. The analysis was performed using the partial least square structural equation modelling with SmartPLS 3. The findings of this study show that confirmation, perceived ease of use, perceived usefulness, service quality, method of expressing affection, and system quality have a positive and significant effect on satisfaction. Perceived usefulness and satisfaction then have a positive and significant effect on continuance intentions with conferencing applications. This study could provide guidance to video conferencing application providers in Indonesia to provide services and systems that increase user satisfaction and intention to continue using these applications. Finally, this study enhances the literature in the field of communication technology on video conferencing applications.
{"title":"The Meaning of User Satisfaction and Continuance Intentions with Video Conference Applications","authors":"A. Safira, P. W. Handayani, A. Pinem","doi":"10.1109/ICIMCIS53775.2021.9699164","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699164","url":null,"abstract":"A decrease in face-to-face encounters between people has been caused by social distancing measures, which are promoted to reduce the spread of COVID-19. This has led to a switch from direct meetings to virtual meetings, leading to an increase in the use of video conferencing applications to communicate. The goal of this study is to explore the factors that could influence satisfaction and the decision to continue using video conferencing applications. The respondents consisted of 556 people who had used video conferencing applications in the previous three months. The analysis was performed using the partial least square structural equation modelling with SmartPLS 3. The findings of this study show that confirmation, perceived ease of use, perceived usefulness, service quality, method of expressing affection, and system quality have a positive and significant effect on satisfaction. Perceived usefulness and satisfaction then have a positive and significant effect on continuance intentions with conferencing applications. This study could provide guidance to video conferencing application providers in Indonesia to provide services and systems that increase user satisfaction and intention to continue using these applications. Finally, this study enhances the literature in the field of communication technology on video conferencing applications.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127808622","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699131
Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto
This study conducted analysis of the readiness of data integration in merged telecommunication company, using the Data Management Body of Knowledge (DAMA-DMBOK) framework and evaluating it with COBIT. Three readiness parameters are evaluated, namely Data Architecture, Data Governance, and Data Quality. The analysis process uses a case in the calculation of revenue and billing collection, which has an impact on the achievement of cash and net income in the company, which is the KPI for the Business Performance of the company. From the Data Architecture Analysis, it was found that some of the business processes were still run manually and had not been integrated. From the Analysis of Data Governance and Data Quality, it is found that there are differences in the interpretation of these two parameters in the company's internal, namely in the expert group of recording revenue compared to the non-expert one, as well as differences in company base employees from companies M and P. Also, it is reviewed from the Data Quality is readier for data integration than when viewed from Data Governance, therefore it requires a lot of improvement. This study aims to uncover that companies should take further systematic and strategic steps before the data integration process is carried out. The DAMA-DMBOK method obtained that Company M had the applicable percentage of 52,98% while Company P had the applicable percentage of 95.00%. Due to the large gap between the perception, further investigation needs to be conducted in possible future studies.
{"title":"Data Integration Readiness Analysis in Merged Telecommunication Company","authors":"Nugroho Wibisono, Moh A. Amin Soetomo, Heru Purnomo Ipung, Marastika Wicaksono Aji Bawono, E. Budiarto","doi":"10.1109/ICIMCIS53775.2021.9699131","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699131","url":null,"abstract":"This study conducted analysis of the readiness of data integration in merged telecommunication company, using the Data Management Body of Knowledge (DAMA-DMBOK) framework and evaluating it with COBIT. Three readiness parameters are evaluated, namely Data Architecture, Data Governance, and Data Quality. The analysis process uses a case in the calculation of revenue and billing collection, which has an impact on the achievement of cash and net income in the company, which is the KPI for the Business Performance of the company. From the Data Architecture Analysis, it was found that some of the business processes were still run manually and had not been integrated. From the Analysis of Data Governance and Data Quality, it is found that there are differences in the interpretation of these two parameters in the company's internal, namely in the expert group of recording revenue compared to the non-expert one, as well as differences in company base employees from companies M and P. Also, it is reviewed from the Data Quality is readier for data integration than when viewed from Data Governance, therefore it requires a lot of improvement. This study aims to uncover that companies should take further systematic and strategic steps before the data integration process is carried out. The DAMA-DMBOK method obtained that Company M had the applicable percentage of 52,98% while Company P had the applicable percentage of 95.00%. Due to the large gap between the perception, further investigation needs to be conducted in possible future studies.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129772903","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699345
Shinta Puspasari, Ermatita, Zulkardi
The research conducted a literature review to find the trend of smart digital museum construction for education media that have been developed by utilizing information and communication technology and intelligent systems. A series of procedures and methods applied in the literature review process extracting information from dataset contained articles and journals in the 2015-2021 period. A physical or traditional museum must be transformed into a smart digital museum that can carry out an educational role even during the COVID-19 pandemic. The pandemic has made limitations to museum visits that impacted fewer activities and community visits for education in the museum. Museum performance for education is not optimal during a pandemic, especially in Palembang. The results of this study indicate a trend of digital smart transformation from physical or traditional museums. Applications based on mobile devices and websites are mostly developed 72.72% of applications for education in museums. Modern museums have begun to transform into digital museums implementing intelligent machine learning based systems in the last three years and with learning application content in the form of games, augmented reality or virtual reality, and information retrieval systems. The results of the study are expected to provide information for museum education post-pandemic recovery strategic planning in Indonesia.
{"title":"Constructing Smart Digital Media for Museum Education Post Pandemic Recovery: A Review and Recommendation","authors":"Shinta Puspasari, Ermatita, Zulkardi","doi":"10.1109/ICIMCIS53775.2021.9699345","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699345","url":null,"abstract":"The research conducted a literature review to find the trend of smart digital museum construction for education media that have been developed by utilizing information and communication technology and intelligent systems. A series of procedures and methods applied in the literature review process extracting information from dataset contained articles and journals in the 2015-2021 period. A physical or traditional museum must be transformed into a smart digital museum that can carry out an educational role even during the COVID-19 pandemic. The pandemic has made limitations to museum visits that impacted fewer activities and community visits for education in the museum. Museum performance for education is not optimal during a pandemic, especially in Palembang. The results of this study indicate a trend of digital smart transformation from physical or traditional museums. Applications based on mobile devices and websites are mostly developed 72.72% of applications for education in museums. Modern museums have begun to transform into digital museums implementing intelligent machine learning based systems in the last three years and with learning application content in the form of games, augmented reality or virtual reality, and information retrieval systems. The results of the study are expected to provide information for museum education post-pandemic recovery strategic planning in Indonesia.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116991154","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699297
Herlambang Dwi Prasetyo, Pandu Ananto Hogantara, Irzan Fajari Nurahmadan, R. Arjuna, Ika Nurlaili Isnainiyah, Rio Wirawan
Painting and photography are growing with the advancement of technology and globalization. Painting and photography techniques are also developing along with the times. The art of painting is growing, marked by the increasing number of artists, especially in the realism genre. Many artists compete to create painting that is very similar to the original, making it difficult to tell the difference between a hand-drawn painting and a photo taken by a camera. Human limitations in distinguishing the two things need to be overcome with a system that is able to classify them automatically. We try to build a model for image classification, with the hope that the best model is able to classify which are photos and which are images. The best model is expected to be able to overcome human weaknesses in classifying which are photos and which are images. We compared three transfer learning architectures, namely the MobileNet-V1 architecture, the VGG-19 architecture, and the Xception architecture to find out which transfer learning architecture is the best for classifying the two classes, we choose several transfer learning architectural models that have been proven in previous studies to classify images with excellent result. After conducting and evaluating a series of experiments on each CNN model, the best model obtained for classifying images into painting or photo classes in this study is the Xception model trained with a dropout rate value of 0.5 which managed to gain a validation accuracy of 92.59% and test accuracy of 93.52%. The difference between the two values does not have much difference which indicates the model is not overfitting and also the other metrics score of the Xception model showing excellent result
{"title":"CNN Architecture on Distinguishing Art and Photo: A Comparison","authors":"Herlambang Dwi Prasetyo, Pandu Ananto Hogantara, Irzan Fajari Nurahmadan, R. Arjuna, Ika Nurlaili Isnainiyah, Rio Wirawan","doi":"10.1109/ICIMCIS53775.2021.9699297","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699297","url":null,"abstract":"Painting and photography are growing with the advancement of technology and globalization. Painting and photography techniques are also developing along with the times. The art of painting is growing, marked by the increasing number of artists, especially in the realism genre. Many artists compete to create painting that is very similar to the original, making it difficult to tell the difference between a hand-drawn painting and a photo taken by a camera. Human limitations in distinguishing the two things need to be overcome with a system that is able to classify them automatically. We try to build a model for image classification, with the hope that the best model is able to classify which are photos and which are images. The best model is expected to be able to overcome human weaknesses in classifying which are photos and which are images. We compared three transfer learning architectures, namely the MobileNet-V1 architecture, the VGG-19 architecture, and the Xception architecture to find out which transfer learning architecture is the best for classifying the two classes, we choose several transfer learning architectural models that have been proven in previous studies to classify images with excellent result. After conducting and evaluating a series of experiments on each CNN model, the best model obtained for classifying images into painting or photo classes in this study is the Xception model trained with a dropout rate value of 0.5 which managed to gain a validation accuracy of 92.59% and test accuracy of 93.52%. The difference between the two values does not have much difference which indicates the model is not overfitting and also the other metrics score of the Xception model showing excellent result","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115647478","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699280
Mursyid Azhar, Erly Krisnanik, Rio Wirawan, Intan Hesti Indriana
Simpul Seribu is a website that is managing by the Thousand Islands Marine National Park Authority. The Simpul Seribu has been used to apply for SIMAKSI since 2018. More than 245 SIMAKSI have been an issue. The purpose of this research is: 1) to identify and analyze problems for SIMAKSI users, and 2) to provide recommendations on the website interface to make it more user-friendly. The research method used is Cognitive Walkthrough to test usability by performing a series of task scenarios. The usability test component includes five aspects as 1) effectiveness, 2) some errors, 3) task time, 4) overall relative efficiency, and 5) task-level satisfaction to test the evaluation of data processing results based on respondents. This study analyzes the interface design on the Simpul Seribu website using the cognitive walkthrough (CW) method. Based on the results of the research tests, there are no respondents who could complete all of the given task scenarios, especially for task scenario 2. There was the highest number of errors of 114 errors and the lowest efficiency level of 22%. The results of this study are in the form of recommendations for improvements and mock-up designs to improve the quality of the Simpul Seribu website.
{"title":"UI Analysis and Redesign of A Simpul Seribu Website Using Cognitive Walkthrough Method","authors":"Mursyid Azhar, Erly Krisnanik, Rio Wirawan, Intan Hesti Indriana","doi":"10.1109/ICIMCIS53775.2021.9699280","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699280","url":null,"abstract":"Simpul Seribu is a website that is managing by the Thousand Islands Marine National Park Authority. The Simpul Seribu has been used to apply for SIMAKSI since 2018. More than 245 SIMAKSI have been an issue. The purpose of this research is: 1) to identify and analyze problems for SIMAKSI users, and 2) to provide recommendations on the website interface to make it more user-friendly. The research method used is Cognitive Walkthrough to test usability by performing a series of task scenarios. The usability test component includes five aspects as 1) effectiveness, 2) some errors, 3) task time, 4) overall relative efficiency, and 5) task-level satisfaction to test the evaluation of data processing results based on respondents. This study analyzes the interface design on the Simpul Seribu website using the cognitive walkthrough (CW) method. Based on the results of the research tests, there are no respondents who could complete all of the given task scenarios, especially for task scenario 2. There was the highest number of errors of 114 errors and the lowest efficiency level of 22%. The results of this study are in the form of recommendations for improvements and mock-up designs to improve the quality of the Simpul Seribu website.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115701870","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}
Knowledge of hand-woven motif recognition is only owned by the older generation, which has not been passed down to the younger generation. Moreover, computer technology can be used to support the recognition of traditional woven fabric motifs. The aim of this research is to conduct a literature review on hand-woven fabric motif recognition, with an emphasis on performance accuracy, techniques, and datasets utilized. This research included three distinct stages of systematic literature review (SLR): planning, execution, and reporting of findings. We found several datasets between 924,845 data and the number of classes between 3–25 class. Based on research result, we obtained several methods for hand-woven fabric motif recognition focused on performance examination. We recommended image pre-processing method, including Adaptive Filtering Denoising, Adaptive Wiener Filtering, Histogram Equalization, Gradient Pyramid (GP) Decomposition. Moreover, we suggested five feature extraction methods, including Radon Transform, Wavelet Transform, Locally Rotation Invariance Measure (LBP-ROR), Transform Invariant Low-Rank Textures (TILT) and Histogram of Oriented Gradients (HOG). For learning method, we recommend Fuzzy C-Mean (FCM), Convolutional neural network (CNN), Deep Neural Network (DNN), MobileNets, Inception-v3 and ResNet-50.
{"title":"Hand-Woven Fabric Motif Recognition Methods: A Systematic Literature Review","authors":"Handrie Noprisson, Ermatita Ermatita, Abdiansah Abdiansah, Vina Ayumi, Mariana Purba, Marissa Utami","doi":"10.1109/ICIMCIS53775.2021.9699152","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699152","url":null,"abstract":"Knowledge of hand-woven motif recognition is only owned by the older generation, which has not been passed down to the younger generation. Moreover, computer technology can be used to support the recognition of traditional woven fabric motifs. The aim of this research is to conduct a literature review on hand-woven fabric motif recognition, with an emphasis on performance accuracy, techniques, and datasets utilized. This research included three distinct stages of systematic literature review (SLR): planning, execution, and reporting of findings. We found several datasets between 924,845 data and the number of classes between 3–25 class. Based on research result, we obtained several methods for hand-woven fabric motif recognition focused on performance examination. We recommended image pre-processing method, including Adaptive Filtering Denoising, Adaptive Wiener Filtering, Histogram Equalization, Gradient Pyramid (GP) Decomposition. Moreover, we suggested five feature extraction methods, including Radon Transform, Wavelet Transform, Locally Rotation Invariance Measure (LBP-ROR), Transform Invariant Low-Rank Textures (TILT) and Histogram of Oriented Gradients (HOG). For learning method, we recommend Fuzzy C-Mean (FCM), Convolutional neural network (CNN), Deep Neural Network (DNN), MobileNets, Inception-v3 and ResNet-50.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134187678","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699309
E. T. Tosida, F. D. Wihartiko, Agnes Chintia Dewi, Indra Permana Solihin
Medium and Large Enterprises (MLE) play an important role in promoting development and increasing Indonesia's competitiveness in the international arena. Currently, there is not much in-depth analysis related to the prospects for medium and large telematics businesses to find out its relevance to economic conditions and what factors affect business prospects. Whereas the telematics industry sector is a supporting sector for Gross Domestic Product (GDP) with a higher growth rate compared to other sectors. The purpose of this study is to predict the prospects MLE telematics businesses using an ensemble approach with the Boost and Bagging algorithm. Data obtained from the 2016 Economic Census. The target class for business prospects consists of five classes, namely better, the same as bad, worse, and cannot be compared. Optimal results are obtained with the average precision value is 76,8, recall is 79,0 and F1-score is 77,13. The model is able to produce important features that can be validated by experts. The advantages of the prospective MLE telematics feature are the level of sales of goods and services, profits, and the level of education of the business owner.
{"title":"Prospect Prediction Model of Indonesian Telematics Medium and Large Enterprises Using Ensemble Approach","authors":"E. T. Tosida, F. D. Wihartiko, Agnes Chintia Dewi, Indra Permana Solihin","doi":"10.1109/ICIMCIS53775.2021.9699309","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699309","url":null,"abstract":"Medium and Large Enterprises (MLE) play an important role in promoting development and increasing Indonesia's competitiveness in the international arena. Currently, there is not much in-depth analysis related to the prospects for medium and large telematics businesses to find out its relevance to economic conditions and what factors affect business prospects. Whereas the telematics industry sector is a supporting sector for Gross Domestic Product (GDP) with a higher growth rate compared to other sectors. The purpose of this study is to predict the prospects MLE telematics businesses using an ensemble approach with the Boost and Bagging algorithm. Data obtained from the 2016 Economic Census. The target class for business prospects consists of five classes, namely better, the same as bad, worse, and cannot be compared. Optimal results are obtained with the average precision value is 76,8, recall is 79,0 and F1-score is 77,13. The model is able to produce important features that can be validated by experts. The advantages of the prospective MLE telematics feature are the level of sales of goods and services, profits, and the level of education of the business owner.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959631","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699331
Firdaus, Suci Dwi Lestari, S. Nurmaini, R. F. Malik, M. N. Rachmatullah, Annisa Darmawahyuni, Ade Iriani Sapitri, Mohammad El Qiliqsandy
One of the stages before classifying the author matching is to combine the data, in this case the resulting data becomes highly imbalanced dataset, between the author who matches or the author who does not match. This paper presents a method to solve the highly imbalanced problem in author matching classification. The method used Cost-Sensitive Deep Neural Network (CSDNN). CSDNN will consider costs that vary from the type of data misclassification. As text feature similarity measures, we use cosine similarity. And we use Digital Bibliography & Library Project (DBLP) data as a dataset. The result is outstanding in terms of specificity 0.99, precision 0.95, recall 0.96, f1-score 0.96, and accuracy 0.99.
{"title":"Author Matching Classification on a Highly Imbalanced Bibliographic Data using Cost-Sensitive Deep Neural Network","authors":"Firdaus, Suci Dwi Lestari, S. Nurmaini, R. F. Malik, M. N. Rachmatullah, Annisa Darmawahyuni, Ade Iriani Sapitri, Mohammad El Qiliqsandy","doi":"10.1109/ICIMCIS53775.2021.9699331","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699331","url":null,"abstract":"One of the stages before classifying the author matching is to combine the data, in this case the resulting data becomes highly imbalanced dataset, between the author who matches or the author who does not match. This paper presents a method to solve the highly imbalanced problem in author matching classification. The method used Cost-Sensitive Deep Neural Network (CSDNN). CSDNN will consider costs that vary from the type of data misclassification. As text feature similarity measures, we use cosine similarity. And we use Digital Bibliography & Library Project (DBLP) data as a dataset. The result is outstanding in terms of specificity 0.99, precision 0.95, recall 0.96, f1-score 0.96, and accuracy 0.99.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131004440","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}
With the development of the economy and society and the continuous deepening of Internet+, the tourism market continues to develop, and the requirements for tourist experience continue to increase. The competition between the tourism industry is no longer limited to the competition of hardware conditions such as tourism resources. Can it be through informatization and intelligence? Services improve tourist satisfaction. Platforms that integrate various advanced technologies are key tools for exhibitions in multiple tourist attractions. The level of smart tourism construction has also become one of the signs of urban modern development. This article is a series of research results of the Sanya City Smart Tourism Construction Research Project. The second article of the series focuses on the research on the domestic smart tourism construction excellent cities. Hangzhou and Xiamen are selected as examples. There is no comparison, but a summary of the relevant ones. The construction content and successful experience provide a useful reference for the research on the construction of smart tourism in Sanya.
{"title":"Successful Cases of Smart Tourism Construction on Analysis and Research ‐‐ Taking Hangzhou and Xiamen as Examples","authors":"Kun-Min Zhang, Jia Zhu, Yan Gao, Liuyi Zhao, Vaniushkina Din, Siyu Teng, Kaparova Kumushai","doi":"10.1109/ICIMCIS53775.2021.9699141","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699141","url":null,"abstract":"With the development of the economy and society and the continuous deepening of Internet+, the tourism market continues to develop, and the requirements for tourist experience continue to increase. The competition between the tourism industry is no longer limited to the competition of hardware conditions such as tourism resources. Can it be through informatization and intelligence? Services improve tourist satisfaction. Platforms that integrate various advanced technologies are key tools for exhibitions in multiple tourist attractions. The level of smart tourism construction has also become one of the signs of urban modern development. This article is a series of research results of the Sanya City Smart Tourism Construction Research Project. The second article of the series focuses on the research on the domestic smart tourism construction excellent cities. Hangzhou and Xiamen are selected as examples. There is no comparison, but a summary of the relevant ones. The construction content and successful experience provide a useful reference for the research on the construction of smart tourism in Sanya.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116049377","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}
Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699359
Jia Zhu, Kun Zhang, Lan Zang, Darryl Franck Nsalo Kong
With the development of digital technology, digitalization and networking have become the development direction of professional audio technology. Digital Audio Network can solve the problem of anti-interference in transmission and processing, and also can solve the problem of monitoring and management in analog system. In this paper, the frequency spectrum of audio signal is analyzed by the method of discrete Fourier transform (DFT), and the influence of different window length on the frequency spectrum is compared between rectangle window and hamming window. Three different window lengths were selected, namely $mathrm{n}=8,30$, and 100. The simulation results show that only when the window intercept length is greater than or equal to the signal period, the spectrum can be displayed correctly, which is beneficial to the stability of audio signal output and the improvement of sound quality.
{"title":"Spectrum Analysis of Digital Piano Audio Signal","authors":"Jia Zhu, Kun Zhang, Lan Zang, Darryl Franck Nsalo Kong","doi":"10.1109/ICIMCIS53775.2021.9699359","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699359","url":null,"abstract":"With the development of digital technology, digitalization and networking have become the development direction of professional audio technology. Digital Audio Network can solve the problem of anti-interference in transmission and processing, and also can solve the problem of monitoring and management in analog system. In this paper, the frequency spectrum of audio signal is analyzed by the method of discrete Fourier transform (DFT), and the influence of different window length on the frequency spectrum is compared between rectangle window and hamming window. Three different window lengths were selected, namely $mathrm{n}=8,30$, and 100. The simulation results show that only when the window intercept length is greater than or equal to the signal period, the spectrum can be displayed correctly, which is beneficial to the stability of audio signal output and the improvement of sound quality.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122163554","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}
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