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2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)最新文献

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Utilization Big Data and GPS to Help E-TLE System in The Cities of Indonesia 利用大数据和GPS帮助印尼城市建立E-TLE系统
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609741
Dai Yu, Andini Artika Dewi, Sindy Nikita Wijaya, A. A. Gunawan
{"title":"Utilization Big Data and GPS to Help E-TLE System in The Cities of Indonesia","authors":"Dai Yu, Andini Artika Dewi, Sindy Nikita Wijaya, A. A. Gunawan","doi":"10.1109/iccsai53272.2021.9609741","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609741","url":null,"abstract":"Indonesia government currently keep practicing on Electronic Traffic Law Enforcement. Over the last three years the E-TLE was launched by the Ditlantas Polda Metro Jaya the government keep developed a system to provides the smoothness and safety of traffic violations at the cities in Indonesia. Using a Big Data Analytics for helping the large amount of data to recording all the traffic violations, GPS for moving activity and can be used for analysis to identify and information. We used the literature review to find out how to develop the E-TLE concept, system, and implement in Indonesia. The main problem in Indonesia is due to the lack of equipment to support all traffic systems and the accuracy of the inference algorithm varies greatly depending on the size of the collected data sample. In this study, we find out all the problem that can be cause by the system and find out how to solve all the problem using the literature review method for identifying, understanding, and transmitting information to help E-TLE system. Finally, we concluded the big data is must for implementing the E-TLE system. Furthermore, GPS and radar sensor is the critical data beside CCTV for enforcement of electronic traffic law.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"53 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":"133049655","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
A Review of Signature Recognition Using Machine Learning 基于机器学习的签名识别研究综述
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609732
Elizabeth Ann Soelistio, Rafael Edwin Hananto Kusumo, Zevira Varies Martan, E. Irwansyah
{"title":"A Review of Signature Recognition Using Machine Learning","authors":"Elizabeth Ann Soelistio, Rafael Edwin Hananto Kusumo, Zevira Varies Martan, E. Irwansyah","doi":"10.1109/ICCSAI53272.2021.9609732","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609732","url":null,"abstract":"Signatures have been used for years for transactions and consenting to responsibilities. Yet, online or offline, signatures can easily be falsified as there are no security measures in place to prevent this. Numerous researches have been carried out to find the most accurate and reliable signature recognition and verification system. This study examines the two problems previously mentioned. A primary goal of this study is to determine the best algorithms for recognizing signatures based on the signature type. This systematic literature review is conducted using a PRISMA flow diagram. The results indicate that offline signatures mostly use Convolutional Neural Networks (CNN) for their recognition, while online signatures use Recurrent Neural Networks (RNN) with other architectures.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"7 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":"134231148","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: 9
Design of Cadets Administration System for Nusantara Cilacap Maritime Academy Based On Website 基于网站的南洋海事学院学员管理系统设计
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609704
Ana Umul Fadilah, Tisnanto Adisatyo Widcaksono, Eduard Pangestu Wonohardio, E. H. Yossy
{"title":"Design of Cadets Administration System for Nusantara Cilacap Maritime Academy Based On Website","authors":"Ana Umul Fadilah, Tisnanto Adisatyo Widcaksono, Eduard Pangestu Wonohardio, E. H. Yossy","doi":"10.1109/ICCSAI53272.2021.9609704","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609704","url":null,"abstract":"Submitting permits and registering for scholarships are activities often conducted by cadets at the Cilacap Nusantara Maritime Academy. All activities carried out are still conventional, with the cadets having to come straight to the permit and scholarship registration. To overcome this, a website-based management system was set up by the Nusantara Cilacap Maritime Academy. The system development method used is the waterfall model. The programming language used is PHP with a MySQL database and CodeIgniter framework. Evaluation methods are using BlackBox testing for the system and eight golden rules for the user interface. The result of this research is the development of a website-based management system for the Nusantara Cilacap Maritime Academy. This research concludes that the Cilacap Nusantara Maritime Academy's administrative system can increase the efficiency of time for filing permits and writing letters.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"16 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":"133113061","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
Application of Internet of Things in Smart City: A Systematic Literature Review 物联网在智慧城市中的应用:系统文献综述
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609771
E. D. Madyatmadja, Hendro Nindito, A. V. Dian Sano, A. Purnomo, Dimas Rizki Haikal, C. Sianipar
{"title":"Application of Internet of Things in Smart City: A Systematic Literature Review","authors":"E. D. Madyatmadja, Hendro Nindito, A. V. Dian Sano, A. Purnomo, Dimas Rizki Haikal, C. Sianipar","doi":"10.1109/iccsai53272.2021.9609771","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609771","url":null,"abstract":"Nowadays, every urban area in developed countries needed to have a “Smart City” to compete with other country to simply make the name of “Future City” to become a true existent. By using Smart City the development of country will heavily increase by the amount of used Things that connected with the Internet, not only increase the development of a country but also increase the productivity of people that used the things. To get the right results and according to the purpose, this paper will use a research method, namely Systematic Literature Review (SLR). This study will collect data from the previous research that include journal and conference papers to be observed. The results of this paper will be used as a help to reverence for the newer journal on the same topic, then for the end goals this paper will give an example about the country that already applied “Smart City” and the benefit of using Smart City itself.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","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":"126602485","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
The Search for the Best Real- Time Face Recognition Method for Finding Potential COVID Patients 寻找潜在COVID患者的最佳实时人脸识别方法
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609749
Kevin, Eugene Reginald Patrick, Samuel Wijaya, E. Irwansyah
{"title":"The Search for the Best Real- Time Face Recognition Method for Finding Potential COVID Patients","authors":"Kevin, Eugene Reginald Patrick, Samuel Wijaya, E. Irwansyah","doi":"10.1109/ICCSAI53272.2021.9609749","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609749","url":null,"abstract":"Face detection and face recognition has been a part of our daily life for a while now. They usually help us speeding up the time of any identification process in many places. In early 2020, COVID-19 has become a worldwide pandemic and drives many people to find many solutions to this problem. Our contribution to the case is finding the best method to find potential COVID patients before they infect more people in public places by using facial detection and recognition. Using the PRISMA Flowchart methodology, which helps authors systematically analyze relevant publications and improve the quality of reports and meta-analyses The first matter to be solved is to find the most used algorithms used in facial detection and recognition, then followed by finding out which is the best one to be implemented for our case study. Our findings suggests that algorithms that can detect and recognize faces under occluded conditions works best for this case.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"1 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":"116344519","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
Explainable Supervised Method for Genetics Ancestry Estimation 遗传祖先估计的可解释监督方法
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609748
A. Budiarto, B. Pardamean
{"title":"Explainable Supervised Method for Genetics Ancestry Estimation","authors":"A. Budiarto, B. Pardamean","doi":"10.1109/ICCSAI53272.2021.9609748","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609748","url":null,"abstract":"Ancestry estimation is one crucial stage in genomic research. It generates scores that represent the admixed genetics profile as the result of human evolution. In the previous research, we implemented multiple unsupervised methods to estimate these scores from large genomics data obtained from the 1000 Genome Project. These methods were limited to only cluster the samples to the five global populations in the dataset. The main challenge arose when implementing these methods to cluster the samples into more specific subpopulations. In this paper, we proposed a supervised approach to answer this challenge. Two state-of-the-art supervised machine learning methods, XGBoost and Deep Neural Network (DNN), were applied to the same dataset. These methods were aimed to classify samples, both into five main populations and also into 26 sub-populations. In the first classification task, both methods achieved similar results to our previous unsupervised approach. Interestingly, for the second classification task, which posses a relatively higher difficulty, DNN yielded better performance in the train, validation, and test dataset, despite its overfitting problem. Furthermore, the feature importance scores from each model were calculated using Shapley Additive Explanations (SHAP) method. Finally, 11 overlapped SNPs from all models were evaluated based on the reported Minor Allele Frequency (MAF) from the 1000 Genome Project. Overall, only using these 11 SNPs, we could differentiate each population in regards to its average MAF.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"1 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":"116424475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Survey: Crowds Detection Method on Public Transportation 公共交通人群检测方法研究
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609731
Darren Anando Leone, Handry Novianto, Ruben Setiawan, Timothy Gilbert, Novita Hanafiah
{"title":"A Survey: Crowds Detection Method on Public Transportation","authors":"Darren Anando Leone, Handry Novianto, Ruben Setiawan, Timothy Gilbert, Novita Hanafiah","doi":"10.1109/iccsai53272.2021.9609731","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609731","url":null,"abstract":"Face recognition is a computer technology being used in a variety of applications that identifies human faces in digital images. At this time, face recognition can be used to find out how crowded a public transport is. Face recognition can be used to calculate how many people are in a public transport. Nowadays, we have been assisted by the existence of Closed-Circuit Television (CCTV). The video, images from the CCTV footage can be used to detect crowds in a public transport. Our aim in making this paper is to compare which method is most suitable for use in detecting crowds in a public transport. The writer used various different research papers in the period of 2015–2021. From our analysis, there are many methods that can be used to check the crowd in a public transport, such as CNN, RCNN, YOLO, Viola Jones, and still many more. From our research, we found that the CNN method has the highest accuracy rate than the other methods.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","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":"114884019","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
Image Data Encryption Using DES Method 使用DES方法加密图像数据
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609738
Artha Bastanta, Ramadhany Nuryansyah, Christian Aditya Nugroho, W. Budiharto
{"title":"Image Data Encryption Using DES Method","authors":"Artha Bastanta, Ramadhany Nuryansyah, Christian Aditya Nugroho, W. Budiharto","doi":"10.1109/iccsai53272.2021.9609738","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609738","url":null,"abstract":"Data encryption has been considered as a way to secure data that is stored either on personal computers or on the internet such as cloud storage and cloud computing. Because advances in data storage technology, the main problem that is often faced is data security, so we apply the concept of data encryption using the DES method. by analyzing using the DES method is the safest data encryption process for safeguarding data stored on personal computers and on the internet. Based on the application that has been designed using the DES Algorithm with input in the form of an image, it can successfully encrypt the image.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"79 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":"130169681","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
Smart Electricity Meter as An Advisor for Office Power Consumption 智能电表作为办公用电量的顾问
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609796
Firman M. Muhamad, Nooryoku R. Muhammad, Nathaniel E. Ferdinand, Steven T. Anthony, Clay S. Jeffrey, Boby Siswanto
{"title":"Smart Electricity Meter as An Advisor for Office Power Consumption","authors":"Firman M. Muhamad, Nooryoku R. Muhammad, Nathaniel E. Ferdinand, Steven T. Anthony, Clay S. Jeffrey, Boby Siswanto","doi":"10.1109/iccsai53272.2021.9609796","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609796","url":null,"abstract":"Technological advances are growing fast., with the presence of new technology that helps everyday work. Big companies often have a lot of fluctuation in power usage., where there is no monitoring being done., there is no way of knowing the cause. There is a need for a system that can do the monitoring of power consumption. Internet of Things is a product of technological growth that is focused on helping humans manage their everyday activity., especially in controlling electronics automatically. This research aims to create a system able to monitor power consumption in offices that could be accessed from anywhere. Found that this system can predict electrical consumption every month.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"194 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":"121867946","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
Extract Transform Loading (ETL) Based Data Quality for Data Warehouse Development 基于提取变换加载(ETL)的数据质量数据仓库开发
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609770
Munawar
{"title":"Extract Transform Loading (ETL) Based Data Quality for Data Warehouse Development","authors":"Munawar","doi":"10.1109/ICCSAI53272.2021.9609770","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609770","url":null,"abstract":"Extract Transform Loading (ETL) plays a decisive role in data warehouse (DW) construction. It involves retrieval informations from multiple sources to improve information quality in DW for decision making process. A DW development relies on the development of ETL. Therefore, ETL conceptual model not only represents an overview of overall process, but also as a mapping amongst data sources, DW targets and required transformation to make sure that data quality (DQ) dimensions are incorporated in order to meet the requirements. In this paper, an ETL framework is proposed which incorporates data quality to improve information processes in data warehouse development through ‘the story’ of process whilst others framework more to technical approach. In order to be useful, the proposed framework compared with other framework in case of advantages and disadvantages for future improvement.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"30 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":"123349370","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
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