2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)最新文献

Solving Complex Background Problem Using RetinaNet for Sign System for Indonesian Language (SIBI) Gesture-to-Text Translator 利用retanet解决印尼语(SIBI)手势转文字翻译系统的复杂背景问题

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923450

Median Hardiv Nugraha, Erdefi Rakun

{"title":"Solving Complex Background Problem Using RetinaNet for Sign System for Indonesian Language (SIBI) Gesture-to-Text Translator","authors":"Median Hardiv Nugraha, Erdefi Rakun","doi":"10.1109/ICACSIS56558.2022.9923450","DOIUrl":"https://doi.org/10.1109/ICACSIS56558.2022.9923450","url":null,"abstract":"SIBI is the standardized sign language system offi-cially used in Indonesia. The application of SIBI is often found to be a hindrance because there are too many gestures that must be memorized. A mobile-based application is needed as gesture-to-text translator. From Rakun et al., Skin Color Segmentation was used as a method to segment hand and facial features using greenscreen background as dataset (3.367% of WER and 80.180% of SAcc). When this application is used, the gesture video is recorded on complex background but performed poorly (135.180% of WER and 0% of SAcc score). The computational time using Skin Color Segmentation is 0.013 s per frame. OpenPose was used to locate hand and facial position. OpenPose can give better performance (6.312% of WER and 69.293% of SAcc score) compared to Skin Color Segmentation but cannot be implemented on mobile application. The computational time using OpenPose is 0.410 s per frame. The focus of this study is to find a model that can locate hand and facial position on complex background and also can be implemented on mobile application. The model we use is RetinaNet. RetinaNet is proven to locate hand and facial position much better (4,100% of WER and 78,990 % of SAcc score) than Skin Color Segmentation and OpenPose. The computational time using RetinaNet is 0.038 s per frame.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130176894","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

Designing Personal Knowledge Management System to Support Knowledge Sharing in Government Organization: A Case study at the Indonesian Central Statistics Agency 设计个人知识管理系统以支持政府机构的知识共享:以印尼中央统计局为例

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923485

Candra Dwi Nugraha, Deden Sumirat Hidayat, D. I. Sensuse, Nadya Safitri

引用次数: 1

Placement Analysis ofGCI Radar For Supporting Indonesia Air Defense Using Geographic Information System (Case Study: West Kalimantan) 利用地理信息系统支持印尼防空的gci雷达布局分析(以西加里曼丹为例)

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923500

Niken Ayu Firdayanti, Meylia Susiana Dewi Putri, Igara Triregina, Rahmat Sunarya, Kharismaji Kalasmoro, Teguh Budiman, Lily Harjanto, Andrian Andaya Lestari, R. Gultom, M. Supriyatno

{"title":"Placement Analysis ofGCI Radar For Supporting Indonesia Air Defense Using Geographic Information System (Case Study: West Kalimantan)","authors":"Niken Ayu Firdayanti, Meylia Susiana Dewi Putri, Igara Triregina, Rahmat Sunarya, Kharismaji Kalasmoro, Teguh Budiman, Lily Harjanto, Andrian Andaya Lestari, R. Gultom, M. Supriyatno","doi":"10.1109/ICACSIS56558.2022.9923500","DOIUrl":"https://doi.org/10.1109/ICACSIS56558.2022.9923500","url":null,"abstract":"The process of relocating the National Capital of Indonesia from its initial position on Jakarta (Java Island) to Kalimantan Island would cause a shift in Indonesia's Center of Gravity (CoG). Since there are now only two radars on Kalimantan and they are still unable to cover the entire territory of Kalimantan, air defense might be the primary concern that needs to be strengthened. The presence of a blank-spot area in the West Kalimantan region should be a consideration for placing radar in this region. The result of the study is coordinate point which is the exact location of the radar placement. This study aims to analyze the location of the GCI Radar placement in the West Kalimantan region using the Geographic Information System (GIS) and Radar Coverage methods, to ensure that air defense on Kalimantan Island is conducted as effectively as possible to detect and identify threats to COG of Indonesia. The data used for determining the location are altitude, radar coverage, road infrastructure, communication infrastructure, disasters, and land cover. Data processing using ArcGIS applications to help determine the appropriate location and test Radar coverage with the SPx Radar Coverage. The location with the best radar coverage is at coordinates 008'34.8”N 110032'34.8”E.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114408937","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

User Perception towards Telemedicine Before and During COVID-19 COVID-19之前和期间用户对远程医疗的看法

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923475

Talitha Nabila Saifana, Nori Wilantika

{"title":"User Perception towards Telemedicine Before and During COVID-19","authors":"Talitha Nabila Saifana, Nori Wilantika","doi":"10.1109/ICACSIS56558.2022.9923475","DOIUrl":"https://doi.org/10.1109/ICACSIS56558.2022.9923475","url":null,"abstract":"Telemedicine provides various conveniences and solutions to several problems related to health services. The number of downloads of telemedicine apps has increased during the COVID-19 pandemic. However, the continuance mainly depends on user satisfaction associated with user perception of service quality. This study aims to figure out whether there are any changes in user perception toward telemedicine before and during the pandemic. This study proposes an approach that utilizes customer reviews of Halodoc and Alodokter from the Google Play Store. User perception extracted from user reviews includes sentiment polarity and the most discussed topics of telemedicine apps. Further analysis was conducted by mapping the most discussed topics to dimensions of service quality. The results show that the percentage of reviews with negative sentiment during the pandemic increased compared to before the pandemic. The highest percentage of topics discussed in negative nuance during pandemic is about system quality, which are payment methods, unauthorized deduction of user balances, and suspected leaks of users' private data. The findings of this research contribute to the preliminary information related to the sustainability of telemedicine usage. This research also extends the literature on the potential use of textual reviews in user perception on health platforms.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860071","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

Autonomous Evacuation Boat in Dynamic Flood Disaster Environment 动态洪涝灾害环境下的自主疏散船

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923446

Nur Hamid, Willy Dharmawan, Hidetaka Nambo

引用次数: 1

Continuous Use Evaluation of Business Intelligence Implementation in Energy Company 能源企业商业智能实施的持续使用评价

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923490

Muchammad Choirur Rizqi Anwar, P. W. Handayani

{"title":"Continuous Use Evaluation of Business Intelligence Implementation in Energy Company","authors":"Muchammad Choirur Rizqi Anwar, P. W. Handayani","doi":"10.1109/ICACSIS56558.2022.9923490","DOIUrl":"https://doi.org/10.1109/ICACSIS56558.2022.9923490","url":null,"abstract":"Digitalization is an effort to increase oil and gas production in the upstream sector to become more effective and efficient. Digital transformation in the primary upstream oil and gas operations to monitor drilling activities, production operations, shipping, lifting, and inventory monitoring through the Integrated Operation Center (IOC). IOC is Business Intelligence (BI) to produce information for executives and decision-makers of the organization. IOC's evaluation result showed the number of IOC access of business users was only 31 %, while the IT team reached 69%; there are differences in expectations and reality from management needs regarding continuous use of IOC as BI. The study aimed to identify important factors contributing to the continuous use of IOC in PHE. The study adopts DeLone & McLean. A quantitative study was conducted in a survey of 30 IOC users to determine the essential factors for the continuity of IOC use. The results showed that seven continuous factors use of IOC had significant relationships. Information Quality correlated with User Satisfaction, System Quality correlated with System Use, System Use correlated with Net Benefits and User Satisfaction, User Satisfaction correlated with System Use, and Net Benefits Net Benefits User Satisfaction and System Use. This study provides input for organizations on essential factors in evaluating and improving the continuous use of IOC as BI.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130960378","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

Machine Learning Models for LoRa Wan IoT Anomaly Detection LoRa Wan物联网异常检测的机器学习模型

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923439

Agus Kurniawan, M. Kyas

引用次数: 0

Research on Train Positioning Algorithm with Special Rail Characters 具有特殊轨道特性的列车定位算法研究

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923528

Zhanyu Guo, Peng Wang

{"title":"Research on Train Positioning Algorithm with Special Rail Characters","authors":"Zhanyu Guo, Peng Wang","doi":"10.1109/ICACSIS56558.2022.9923528","DOIUrl":"https://doi.org/10.1109/ICACSIS56558.2022.9923528","url":null,"abstract":"Locating exactly where a train is on a track is now a major concern for railway companies. By training the charac-teristic objects from the picture samples along the railway with YOLO v5 to generate the recognition template, the characteristic images containing characteristic objects can be selected as the positioning points. Then Compile the identity code (ID code) of the positioning points' pictures by using the location information of the characteristic objects. Match the detected pictures' ID code with positioning pictures' ID code through similarity, and the recognition can be completed if the similarity is higher than the set threshold. Finally, by fetching the location information of the positioning point, the train can identify it position. Through a series of methods such as changing the shooting angle, sharpness and contrast of the positioning point images, the testing set is expanded, and the YOLO v5 based positioning algorithm can be measured its optimal model. The experimental results show that when the similarity threshold is 0.58 and the confidence limit is 0.6, the train positioning model has the best performance, and the success rate of positioning is 97.6 %.","PeriodicalId":165728,"journal":{"name":"2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645175","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

Clustered Bert Model for predicting Retweet Popularity 预测转发流行度的聚类Bert模型

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923496

Surbhi Kakar, Deepali Dhaka, Monica Mehrotra

引用次数: 1

Classification of Stroke and Non-Stroke Patients from Human Body Movements using Smartphone Videos and Deep Neural Networks 使用智能手机视频和深度神经网络从人体运动中分类中风和非中风患者

2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2022-10-01 DOI: 10.1109/ICACSIS56558.2022.9923501

Zafira Binta Feliandra, Siti Khadijah, M. F. Rachmadi, D. Chahyati

引用次数: 3