2021 4th International Conference of Computer and Informatics Engineering (IC2IE)最新文献_第9页

Face Mask Detection using Convolutional Neural Network 基于卷积神经网络的面罩检测

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649065

Rizki Purnama Sidik, Esmeralda Contessa Djamal

{"title":"Face Mask Detection using Convolutional Neural Network","authors":"Rizki Purnama Sidik, Esmeralda Contessa Djamal","doi":"10.1109/ic2ie53219.2021.9649065","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649065","url":null,"abstract":"During pandemic CoVID 19, people must use face masks in public areas to prevent and reducing the risk of transmission and spread of the virus. Computer Vision can help to monitor the use of face masks based on images captured via CCTV. Several public areas have installed CCTV that can monitor using masks, but too many people in the area would create problems. Face and side masked face detection is a challenge, given the removal of facial features such as the mouth and nose. A previous study built a mask detection system using Convolutional Neural Networks (CNN) based models, which produced high accuracy but was limited to the front face. This research proposed the CNN method to detect masks based on facial images taken from cameras in public areas. Images containing faces from CCTV are segmented, each faces first using the Retina Face. Experiments were carried out on a single face image in mask detection, resulting in an accuracy of 97.33%. These excellent results are not surprising given CNN's ability to recognize patterns. The most important thing is the segmentation of the face region from one image, which is then tested to produce an accuracy of 82.46%. We selected the best configuration from the two experiments, combined into a mask detection from an image containing multiple faces. The results also showed a significant effect between the face detection method and the learning rate value on the accuracy of the mask use detection system, with the best results of 79.45% using the RetinaFace face detection model.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"74 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":"124364506","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: 25

The Comparison of Nearest Neighbor Algorithm as Modeling in Conclusion of Interpretation of Bil Ma'tsur and Bil Ra'yi bill Ma'tsur和bill Ra'yi解译结论中最近邻算法作为建模的比较

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649246

Afrizal Nur, Mustakim, M. Yasir, Zurriyata Fatni

{"title":"The Comparison of Nearest Neighbor Algorithm as Modeling in Conclusion of Interpretation of Bil Ma'tsur and Bil Ra'yi","authors":"Afrizal Nur, Mustakim, M. Yasir, Zurriyata Fatni","doi":"10.1109/ic2ie53219.2021.9649246","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649246","url":null,"abstract":"Tafsir is one of many media utilized to convey the message of the Quran to readers. There are two types of tafsir, namely bil ma'tsur and bil ra'yi, which are grouped based on its respective sources known as shahih and dhaif. The main issue in practicality is differentiating between the two groups is not always easy. The technique most often used in machine learning for classification is the K-Nearest Neighbor (K-NN). On the other hand, K-NN has 3 variations of the algorithm, namely Fuzzy K-Nearest Neighbor (FK-NN), Modified K-Nearest Neighbor (MK-NN), and Improvement K-Nearest Neighbor (IK-NN). This study compares the four algorithms by modeling the best algorithm based on algorithm performance and algorithm complexity. From this research, it was found that MK-NN is a reliable algorithm with an accuracy of 98.07% and a processing time of 2.97 minutes in the deduction of bil ra’yi and bil ma’tsur with 486 documents in Surah Al-Baqoroh and Surah Ali Imron as samples. Furthermore, the best modeling of MK-NN is implemented into a programming language for the application of determining the type of interpretation, with the results of the User Acceptance Test (UAT) and user ease of approaching 99%.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"4 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":"130344126","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

Performance Maintenance of Machine Learning-based Emergency Patient Mortality Predictive Models 基于机器学习的急诊病人死亡率预测模型的性能维护

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649069

Zachary Young, Robert Steele

{"title":"Performance Maintenance of Machine Learning-based Emergency Patient Mortality Predictive Models","authors":"Zachary Young, Robert Steele","doi":"10.1109/ic2ie53219.2021.9649069","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649069","url":null,"abstract":"Machine learning provides a flexible technique to predict the survival of patients who are admitted to hospital as emergency admissions. Mortality prediction is a central component of emergency patient quality of care and this can act as an indicator of severity to determine who needs prioritized care. Machine learning-based models, as opposed to human-crafted severity score systems, allow for much more complex and updateable models to be developed based on a larger set of input data attributes. While various studies of machine learning-based predictive models for predicting inpatient mortality have been carried out there is little literature on performance maintenance of these models. Determining the performance maintenance of these models over time determines how reliably they can be utilized into the future and for how long. The best performing model in this study achieve’s an AUC of 0.86 upon training and is able to maintain a similarly high AUC of 0.845 as of the end of the period of performance maintenance evaluation nine months later. This is the first paper that the authors are aware of to consider and measure relative performance maintenance of machine learning-based models for emergency admission mortality prediction.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"27 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":"133284065","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

[Title page] (标题页)

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649058

引用次数: 0

e-Control: Electronic Attendance Control System for Multi-Condition Class using Microservices Architecture Development Methods e-Control:基于微服务体系结构开发方法的多条件课堂电子考勤控制系统

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649389

R. Hartono, Maya Rahayu, Puput Nurfaidah Taufik

{"title":"e-Control: Electronic Attendance Control System for Multi-Condition Class using Microservices Architecture Development Methods","authors":"R. Hartono, Maya Rahayu, Puput Nurfaidah Taufik","doi":"10.1109/ic2ie53219.2021.9649389","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649389","url":null,"abstract":"One of the impacts from Covid-19 is the school & lectures must be held online. There are many applications that used to do online lectures as the alternative way of face-to-face lectures such as Zoom and Google Meet. In this multi conditional school lectures (offline & online), both of the electronic or manual attendance system caused delay of control. e-Control (digitalized attendance system) is a system for controlling and recording the attendance of students and lecturers in a lecture using architectural microservices development method is made without hardware. This system was created starting from making a prototype design using figma, creating a database using phpmyadmin, followed by making an API gateway and API services on the backend using visual code studio, and creating a frontend system using android studio. The attendance system with the fingerprint-based attendance device on android uses and Google Maps as locator that has 2 functions, named as an online attendance system and an offline attendance system, and has 2 features in it, named absence and history. e-Control works well, because it shows the results of observations in testing data transmission to the server resulting in a data transmission time delay of only 0.344 seconds. The results of making e-Control are intended for students and lecturers whose data has been arranged in the database and fingerprint has been set on the android system. This system is also targeted for students and lecturer, the system has already been set in database and fingerprint in the android system as well.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"8 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":"132779052","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

Implementation and Analysis of The EtherChannel Technology Using PAgP and LACP Protocols on Cisco Switch Devices 基于PAgP和LACP协议的以太网通道技术在Cisco交换设备上的实现与分析

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649157

D. E. Kurniawan, M. Iqbal, Adhitya Adhitya

{"title":"Implementation and Analysis of The EtherChannel Technology Using PAgP and LACP Protocols on Cisco Switch Devices","authors":"D. E. Kurniawan, M. Iqbal, Adhitya Adhitya","doi":"10.1109/ic2ie53219.2021.9649157","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649157","url":null,"abstract":"A fast and reliable computer network is needed for a company. However, network infrastructure is often not considered, so the unmet network infrastructure needs become the background in this study. The problem of network infrastructure is very influential on the bandwidth of the network. Bandwidth issues can be fixed by using EtherChannel technology. In this research, EtherChannel technology is implemented, and the protocol is analyzed, namely PAgP and LACP. The scenarios in this research use the concept of client-server. The measured parameters are delay, jitter, packet loss, and throughput on file-sharing / FTP and video stream. The result on Delay, PAgP is around 12% better than LACP. Then in the Jitter test on FTP services, the PAgP protocol is 2.3% better than the LACP protocol in measuring FTP Jitter. And in the FTP Packet loss test, testing on the PAgP protocol is superior by getting a smaller percentage of packet loss, which is 0.18% in the PAgP protocol and 0.232% for the LACP protocol. The FTP throughput testing in the PAgP protocol gets an average yield of 83.8 Mbps, while the LACP protocol gets test results of 77.68 Mbps. While testing the video stream delay, jitter video stream, and video stream throughput, the LACP protocol is 2.2%, 23%, and 0.05% better than the PAgP protocol.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"62 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":"126510020","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

Smart School System with Single ID based on RFID Through NFC using FCM Notification 基于RFID的单ID智能学校系统，通过NFC使用FCM通知

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649272

Rokhmadi, A. Sofwan, M. Somantri

{"title":"Smart School System with Single ID based on RFID Through NFC using FCM Notification","authors":"Rokhmadi, A. Sofwan, M. Somantri","doi":"10.1109/ic2ie53219.2021.9649272","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649272","url":null,"abstract":"The development of information technology provides convenience in managing activities at school, including student activities such as attendance, borrowing or returning library books, delivering announcements to the parents, school administration, teaching and learning processes. Some of these activities can be simplified using a single identity. In this study, a smart school system was designed using a single identity (ID) based on Radio Frequency Identification (RFID). That used to identify student activities, including attendance, borrowing, returning library books through Near Field Communication (NFC) cell phones with smartcard reader applications to read Unique ID (UID). Then the UID is mapped with student activities and stored in a database to be processed into an integrated School Management System (SMS), which consists of e-student, e-attendance, e-library, e-class. Each student activity triggered by this ID is notified to the parents via student mobile using Firebase Cloud Messaging (FCM). To measuring this system's successful implementation, five Likert scale questionnaires were used to obtain respondents' information and opinions about the smart school system indicators. Then analyzed the correlation coefficient (r) and its validity using the Pearson correlation and calculated the reliability using the Cronbach coefficient (Cα). The analysis shows that the r indicator has a moderate and strong degree of correlation and is valid with 0.641 ≤ r ≤0.849 is greater than rtable, which is = 0.345. The reliability is very good with Cα=0.807.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"20 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":"131308380","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

Implementation of Condition-based and Predictive-based Maintenance using Vibration Analysis 使用振动分析实现基于状态和基于预测的维修

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649400

Christopher Nata, Laurence, N. Hartono, L. Cahyadi

{"title":"Implementation of Condition-based and Predictive-based Maintenance using Vibration Analysis","authors":"Christopher Nata, Laurence, N. Hartono, L. Cahyadi","doi":"10.1109/ic2ie53219.2021.9649400","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649400","url":null,"abstract":"Companies frequently neglect the need of creating a robust maintenance system because it is perceived to be expensive and time-consuming. In contrast, the reality is that maintenance reduces costs and delays, offering organisations a competitive advantage in the long run. Condition-based Maintenance (CBM) and Predictive based Maintenance (PM) are two effective maintenance methods. While the CBM monitors the current condition, the PM will use the CBM results to generate a future prediction for a machine; hence, both are complementary. Three engine pumps were used in a case study at a chilli sauce factory in West Jakarta, Indonesia. For this rotating machine, vibration analysis is the most effective method of measurement. An accelerometer is used to collect vibration data. To determine the current state of the engine, the Root Mean Square of the data was calculated and compared to the ISO 10816 standard. The Fast Fourier Transformation is used in the engine's damage analysis to group each vibration to its frequency. The implementation of CBM and PM at a low cost demonstrates that technology-enabled maintenance is feasible for Small-Medium Enterprises. The internet will be used to collect data in the future, and machine learning will be used to improve prediction.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"41 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":"114209629","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

Brain-Computer Interface of Motor Imagery and Emotion using Multiple Recurrent Neural Networks 基于多递归神经网络的运动意象与情绪脑机接口

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649403

D. A. Sury, E. C. Djamal

{"title":"Brain-Computer Interface of Motor Imagery and Emotion using Multiple Recurrent Neural Networks","authors":"D. A. Sury, E. C. Djamal","doi":"10.1109/ic2ie53219.2021.9649403","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649403","url":null,"abstract":"Brain-Computer Interface (BCI) can control external devices without directly moving from processed brain signals. The performance of the BCI was determined mainly by the device used, one of which is the Electroencephalogram (EEG). There are variables of EEG signals commonly used as BCI actions, such as emotion, motor imagery, and concentration. These variables can be used single or multiple. Multivariable BCI actions add features to drive external devices from the brain directly. Each variable EEG signal has its characteristics, including the frequency band. Therefore, processing each variable as a separate network is an appropriate choice. One method often used to identify data series such as EEG signals is Recurrent Neural Networks (RNN). This paper proposed multiple RNN in motor imagery and emotion of EEG signal to drive BCI. The EEG signal was filtered at frequencies 8 – 30 Hz for the motor imagery and emotion variables. Both use the Wavelet transform. The experiment results gave 91.59% accuracy when using Multiple RNNs compared to a single RNN, which obtained an accuracy of 76.18%. Moreover, the use of Wavelets in filtering EEG signals increased the accuracy by 21.84%.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"7 Suppl 3 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":"117135491","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

Online Transportation using Cloud Computing during Covid-19 in Indonesia 2019冠状病毒病疫情期间印尼使用云计算的在线交通

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649322

I. G. Made Karmawan, Rachmat Prayoga Oktianto, Elvin Luis, Maria Gabby, Ernawaty Ernawaty, A. Gui

{"title":"Online Transportation using Cloud Computing during Covid-19 in Indonesia","authors":"I. G. Made Karmawan, Rachmat Prayoga Oktianto, Elvin Luis, Maria Gabby, Ernawaty Ernawaty, A. Gui","doi":"10.1109/ic2ie53219.2021.9649322","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649322","url":null,"abstract":"Indonesia is experiencing tremendous growth in the area of online transportation. The community desperately needs online transportation services since they are convenient, inexpensive, safe, and quick to use. Price, service quality, trust, and customer satisfaction will influence customer loyalty in the online transportation industry in Indonesia, and this study investigates how the COVID-19 epidemic has impacted online transportation in the country. We must maintain customer loyalty for customers to continue to use their online transportation services. Customer loyalty is believed to be a critical factor in the performance and profitability of online transportation businesses. This study aims to investigate customer loyalty in the online transportation industry based on customer satisfaction. This study gathered and evaluated 574 responses from all around Indonesia using the SMART PLS 3 software application. The study's findings demonstrate that variable price and service quality positively and statistically significantly impact customer satisfaction. Furthermore, variable trust does not affect and is not statistically significant in customer satisfaction. Finally, the variable of customer satisfaction has a positive and statistically significant impact on customer loyalty.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"51 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":"116568233","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