2022 International Symposium on Information Technology and Digital Innovation (ISITDI)最新文献_第2页

Designing Service Architecture Platform using SCSE Framework for National Archive System Based on OAIS and Microservice Modeling 基于OAIS和微服务建模的国家档案系统服务体系结构平台设计

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944418

Ninon Nurul Faiza, Suhardi, Taufik Iqbal Ramdhani

{"title":"Designing Service Architecture Platform using SCSE Framework for National Archive System Based on OAIS and Microservice Modeling","authors":"Ninon Nurul Faiza, Suhardi, Taufik Iqbal Ramdhani","doi":"10.1109/ISITDI55734.2022.9944418","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944418","url":null,"abstract":"The implementation of Industry 4.0 drives digital transformation in the industry and public services. The process involves a paradigm shift in the government's business services, such as implementing electronic-based archives organized by ANRI. The archive has a vital role as recorded information and events concerning various fields. As the answer to the digital transformation shift, ANRI published regulation as a foundation in building an electronic-based archive system that involves four architecture principles of integrated, dynamic, compliance, and comprehensive architecture principles. This study uses a combination of service computing system engineering, platform engineering, microservice modeling, and OAIS reference model to design an archival service platform architecture that complies with government regulations and related standards. The model evaluation indicates good results as the coupling factor satisfies the loosely coupled condition, the cohesion factor has a relatively strong relationship, the complexity factor signifies low value, and the reusability factor fulfills the high reusable rate.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128377764","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

Fatigue Warning System During Physical Exercise Based on Heart Rate and Oxygen Saturation Using Non-invasive Wearable Sensor 基于心率和血氧饱和度的无创可穿戴传感器运动疲劳预警系统

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944484

Dody Ichwana Putra, Diladia Suarmin, S. Ekariani

{"title":"Fatigue Warning System During Physical Exercise Based on Heart Rate and Oxygen Saturation Using Non-invasive Wearable Sensor","authors":"Dody Ichwana Putra, Diladia Suarmin, S. Ekariani","doi":"10.1109/ISITDI55734.2022.9944484","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944484","url":null,"abstract":"This paper presents the fatigue warning system based on heart rate and oxygen saturation monitoring using a non-invasive wearable sensor on the android platform. This study aims to provide an early warning in anticipation of fatigue in real-time during physical exercise. An algorithm to define the level of fatigue when physical exercise is provided in this study. A non-invasive wearable sensor located on the wrist is used to detect the user's heart rate and oxygen saturation and monitor them on the android applications. The user's family gets the notifications and the user's locations when the system detects the indications of the user's fatigue during the physical exercise. The testing is done by jogging on the treadmill under the scenario variations of age, running speed, and running duration to see the effect of physical activity on the heart rates and oxygen saturation. The experiments show heart rate detection, and oxygen saturation accuracies are 93.3% and 91.9%, respectively. The android application warns when the user's heart rate and oxygen saturation are under abnormal conditions. The user's age, running speed, and exercise duration affect the heart rate and oxygen saturation during jogging. The user feels fatigued when reaching above 80% of maximum heart rate and oxygen saturation level under 95%.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130790316","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

Gender and Intent Classification From Finger Swiping Behaviours on Gesture Keyboards Using LSTM 基于LSTM的手势键盘手指滑动行为的性别和意图分类

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944440

Ryan Adipradana, Bernard Wijaya, Winston Rusli, Henry Lucky, Derwin Suhartono

{"title":"Gender and Intent Classification From Finger Swiping Behaviours on Gesture Keyboards Using LSTM","authors":"Ryan Adipradana, Bernard Wijaya, Winston Rusli, Henry Lucky, Derwin Suhartono","doi":"10.1109/ISITDI55734.2022.9944440","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944440","url":null,"abstract":"With the increasing number of smartphone users worldwide, gender prediction research has shifted from using keyboard strokes to touch behaviour from smartphone. One of the touching behaviours is swiping behaviour from gesture keyboard. The goal of this research was to produce a classification result for gender and intent (Quickly, Accurately, Creatively) by utilizing finger swiping behaviors on gesture keyboards. Research methods were conducted by data development, data training, data testing and performance evaluation. Long Short-Term Memory (LSTM) recurrent neural network architecture served as the main structure for data training. Evaluation used cross validation method with performance evaluation metrics (F1 score and Area Under Curve (AUC)). The highest result of gender classification is 0.88 F1 score and 0.84 AUC for male and 0.83 F1 score and 0.85 AUC for female. As for intent classification it is 0.76 F1 Score and 0.91 AUC. It can be concluded that gender and intent can be classified using LSTM architecture from finger swiping behaviors.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"41 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113983737","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

Usability Evaluation Methods of Mobile Applications: A Systematic Literature Review 移动应用的可用性评估方法:系统的文献综述

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944401

Adi Nugroho, P. Santosa, Rudy Hartanto

{"title":"Usability Evaluation Methods of Mobile Applications: A Systematic Literature Review","authors":"Adi Nugroho, P. Santosa, Rudy Hartanto","doi":"10.1109/ISITDI55734.2022.9944401","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944401","url":null,"abstract":"At this time, mobile devices have an important role because it provides changes for users. Not only making calls, but many features and applications are used to make work easier. Mobile application development brings new challenges to mobile devices, such as usability context when users use mobile applications. Usability is an important factor in mobile applications' role in making them easy to use and efficient. User Interface (UI) and User Experience (UX) has a critical role in software development. It has a function that is one of the keys to the effectiveness of using the software. This study aims to find popular usability evaluation on mobile applications with the help of a Systematic Literature Review (SLR). The usability evaluation process of mobile applications is carried out with a systematic literature review of 22 papers. The results show that 73% of the methods used are usability testing, 23% heuristic evaluations, and 4% are user satisfaction usability evaluations. To conduct usability evaluation on mobile applications, usability testing is carried out in five stages, involves participants, and has the characteristics of Effectiveness, Efficiency, and User Satisfaction. Meanwhile, in heuristic evaluation, experts must be involved in evaluating the user interfaces. This study proposes a mixed method of usability testing and heuristic evaluation in conducting usability evaluation on mobile applications. This method is expected to provide effective and objective usability issues from the perspective of users and experts in improving User Interface (UI) and User Experience (UX).","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127515149","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

Graph Coloring Applications in Scheduling Courses using Welch-Powell Algorithm - A Case Study 使用Welch-Powell算法的图形着色在课程调度中的应用-一个案例研究

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944511

Iswan Rina, D. Sulistiowati, Diana RaudhatulOktavi

引用次数: 0

COVID-19 SEIRV Model Simulation In West Sumatera Province Using Runge Kutta 4th Order 基于Runge Kutta 4阶的西苏门答腊省COVID-19 SEIRV模型模拟

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944524

Maya Sari Syahrul, Nurweni Putri, Rizki Azmirwan

引用次数: 0

Network Automation for CE Router with Route Leaking in MPLS-VPN Network MPLS-VPN网络中路由泄漏CE路由器的网络自动化

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944460

Mochamad Yazid Gupron, Umaisaroh Umaisaroh, Agung Wicaksono

引用次数: 0

Identification of Motorcycle Traffic Violations with Deep Learning Method 基于深度学习方法的摩托车交通违规识别

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944502

Rian Ferdian, Tiara Permata Sari

{"title":"Identification of Motorcycle Traffic Violations with Deep Learning Method","authors":"Rian Ferdian, Tiara Permata Sari","doi":"10.1109/ISITDI55734.2022.9944502","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944502","url":null,"abstract":"This paper proposes a system that can detect vehicle license plates for motorcycle riders who violate traffic regulations using the YOLO algorithm. This detector will be placed at a traffic light junction. The system has two main video processes: helmet and rearview glass detection and license plate reading. Furthermore, a warning to that specific violator will be sounded through the speaker. The system's three main components are a camera, computing unit, and speaker. This system is built using the YOLO algorithm, Optical Character Recognition (OCR), and Text-to-Speech. For the system to meet real-time requirements, the video data captured by the webcam is sent to a computer device for image processing and identifying motorists who violate traffic without wearing a helmet. Suppose the driver is identified as committing a violation. The OCR system will extract the license plate into text form. Then, the Text-to-Speech system will produce sound output containing license plate information. The data obtained from the system testing shows that the value generated by the YOLO darknet system can detect all categories with an accuracy of 93%. The OCR system for reading the letters and numbers on the license plate has a 95% success rate. The Text-to-Speech system has an accuracy rate of 100%.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"678 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116106913","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

Automated Text Summarization and Topic Detection on News Aggregation System Using BART and SVM 基于BART和SVM的新闻聚合系统的自动文本摘要和主题检测

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944521

Farrel Octavianus, Albert Wihardi, Muhamad Keenan Ario, Derwin Suhartono

{"title":"Automated Text Summarization and Topic Detection on News Aggregation System Using BART and SVM","authors":"Farrel Octavianus, Albert Wihardi, Muhamad Keenan Ario, Derwin Suhartono","doi":"10.1109/ISITDI55734.2022.9944521","DOIUrl":"https://doi.org/10.1109/ISITDI55734.2022.9944521","url":null,"abstract":"With a large amount of news consumed by the public, it is impossible to digest all the available news. This paper developed an automated text summarization and topic detection algorithm for news articles, allowing the public to read summarized news without losing the essential points of the news. The algorithm will then be used to build and develop a system that has news aggregation technology. First, the system will scrape news articles from various sources, then topic detection and text summarization will be applied to each article before finally being displayed. The methodology used in this research can be divided into data gathering, topic detection, text summarization, and system development. The result of this research shows that the Support Vector Machine performed exceptionally well in topic detection tasks, better than other supervised learning algorithms used in this research, whereas Bidirectional and Auto-Regressive Transformer (BART) with the appropriate parameters performed relatively well in text summarization. To conclude, topic detection and automated text summarization can both be combined and used to develop a news aggregation system, with Support Vector Machine and BART both performing well in their respective tasks.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116169843","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

Two-Way Multivariate Analysis of Variance in Comparative Analysis of Study Exam Scores Based on Learning Methods and Student Gender 基于学习方法和学生性别的学习考试成绩比较分析的双向多变量方差分析

2022 International Symposium on Information Technology and Digital Innovation (ISITDI) Pub Date : 2022-07-27 DOI: 10.1109/ISITDI55734.2022.9944485

D. Sulistiowati, Iswan Rina, Nadia Febrian

引用次数: 0