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

筛选
英文 中文
The Effect of UI/UX Design on User Satisfaction in Online Art Gallery 在线画廊中UI/UX设计对用户满意度的影响
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609764
A. Wijaya, Kefry, Wendy Wihalim, Alexander Agung Santoso Gunawan
{"title":"The Effect of UI/UX Design on User Satisfaction in Online Art Gallery","authors":"A. Wijaya, Kefry, Wendy Wihalim, Alexander Agung Santoso Gunawan","doi":"10.1109/iccsai53272.2021.9609764","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609764","url":null,"abstract":"UI and UX design in an online art gallery has a big impact for user satisfaction. The purpose of this research is to find out how UI and UX design affects user satisfaction and how to design good UI and UX in an online art gallery. We evaluated 27 research papers related to UI and UX design in an online art gallery using literature review approach. Furthermore, we used a survey to measure System Usability Scale (SUS) of two renown Art Gallery in the form of a questionnaire. The results showed that the UI and UX designs in an online art gallery do have a big impact on user satisfaction. Nevertheless, user satisfaction is relative factors depend on the user, for example users do not like websites that tend to be dark. Based on our research, we concluded four important factors which need to be considered in designing UI and UX for an online art gallery, that is web system must be simple, consistent, work properly, and fulfill the user requirements. We encourage further research to conduct larger studies to correlate with our findings.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"71 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":"131008184","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
Determining the best Delivery Service in Jakarta using Tsukamoto Fuzzy Algorithm 用Tsukamoto模糊算法确定雅加达最佳快递服务
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609709
Phillips Tionathan, Yohanes Raditya Janarto, Ignatius Hansen, Novita Hanafiah
{"title":"Determining the best Delivery Service in Jakarta using Tsukamoto Fuzzy Algorithm","authors":"Phillips Tionathan, Yohanes Raditya Janarto, Ignatius Hansen, Novita Hanafiah","doi":"10.1109/iccsai53272.2021.9609709","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609709","url":null,"abstract":"With the increasing and developing of technology, shipping service providers are also increasing. This research paper helps the people in choosing the best delivery service in Jakarta. Since the competition of delivery service is rising, it confuses people to choose which delivery service is the best. By using Tsukamoto Fuzzy we can determine the best delivery service in Jakarta by using a few categories such as delivery time, price, availability, safeness, and customer service then calculate the data collected with the Tsukamoto Fuzzy model. After calculating the data, the best delivery service can be determined by the score. Tsukamoto Fuzzy are relevant to determine the best delivery service in Jakarta.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"45 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":"124884573","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
Street View Object Detection for Autonomous Car Steering Angle Prediction Using Convolutional Neural Network 基于卷积神经网络的自动驾驶汽车转向角预测的街景目标检测
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609736
I. Sonata, Y. Heryadi, W. Budiharto, A. Wibowo
{"title":"Street View Object Detection for Autonomous Car Steering Angle Prediction Using Convolutional Neural Network","authors":"I. Sonata, Y. Heryadi, W. Budiharto, A. Wibowo","doi":"10.1109/iccsai53272.2021.9609736","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609736","url":null,"abstract":"Autonomous car research is currently developing rapidly to find optimal and accurate steering angle and speed control. Various sensors such as cameras, LIDAR, and RADAR are used to recognize the surrounding environment to determine the correct steering angle prediction in avoiding obstacles. In addition to being expensive, LIDAR and RADAR have several drawbacks such as the level of accuracy that depends on the weather and the ability to detect adjacent objects. This paper will propose the prediction of steering angle and speed control in autonomous cars based on the detection of street view objects such as cars in front, traffic signs, pedestrians, and lane lines. The process of object detection and prediction of steering angle, as well as prediction of speed control using a convolutional neural network (CNN) through video captured using a single camera. In this method, other sensors such as LIDAR and RADAR are no longer needed so that the costs required are lower and the weaknesses found in LIDAR and RADAR can be eliminated. The results obtained are very good with 92% accuracy for steering angle prediction and 85% for speed control prediction. The autonomous car can run well in the simulator environment through the video taken on the real road.","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":"131286627","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
Adaptive central pattern generators to control human/robot interactions 自适应中央模式生成器控制人/机器人交互
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609772
P. Hénaff
{"title":"Adaptive central pattern generators to control human/robot interactions","authors":"P. Hénaff","doi":"10.1109/iccsai53272.2021.9609772","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609772","url":null,"abstract":"The presentation will concern the use of bio-inspired robot controllers based on the functioning of specific biological sensorimotor loops that control biological systems. These loops are based on specific neural network structures, called central pattern generators (CPG) that are implied in the genesis and learning of adaptive rhythmic movements. Therefore, it is interesting to better understanding and modeling these structures to have humanoid robots able to learn rhythmic movements for locomotion or for interacting with humans. After a brief introduction on biological central pattern generators and the rhythmic movements, we will introduce the concept of synchronization a principle that underlies the rhythmic interaction between humans and the dynamic oscillators. Different models of central pattern generators based on dynamic oscillators will be introduced. The second part of the presentation will present several experiments of vision-based Human-Robot motor coordination using adaptive central pattern generators. Other experiments of robot teleoperation for industrial rhythmic tasks will be introduced. Several videos of simulations and experiments will illustrate the presentation. A conclusion and perspectives will conclude the talk.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"68 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":"128060657","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
Identify High-Priority Barriers to Effective Digital Transformation in Higher Education: A Case Study at Private University in Indonesia 确定高等教育中有效数字化转型的高优先级障碍:以印度尼西亚私立大学为例
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609793
B. Aditya, D. F. Murad, R. Ferdiana, S. Kusumawardani, B. Wijanarko
{"title":"Identify High-Priority Barriers to Effective Digital Transformation in Higher Education: A Case Study at Private University in Indonesia","authors":"B. Aditya, D. F. Murad, R. Ferdiana, S. Kusumawardani, B. Wijanarko","doi":"10.1109/iccsai53272.2021.9609793","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609793","url":null,"abstract":"Some barriers negatively affect the implementation of digital transformation in higher education institutions. This research aims to investigate these barriers in a particular context: a private university in Indonesia. The barriers diagnostic framework (BDF) has been applied to identify and prioritize barriers. It is determined that ‘Actionable plans based on strategy translation’, ‘The ability to embed ICT into the education system’, and ‘Limitations of institutional policies' have high priority barriers and therefore meet critical concerns in the implementation of digital transformation at the case study. The main contribution of this study is providing empirical evidence on barriers to digital transformation in the higher education sector. More understanding of the high-priority barriers will help the management of higher education to find effective and efficient strategies to manage the resources.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"757 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113994467","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
Development of Smart Restaurant Application for Dine-In 智能餐厅就餐应用的开发
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609723
Andriatama Bagaskara, A. Naufal, Ivano Ekasetia Dhojopatmo, Ali Abdurrab, W. Budiharto
{"title":"Development of Smart Restaurant Application for Dine-In","authors":"Andriatama Bagaskara, A. Naufal, Ivano Ekasetia Dhojopatmo, Ali Abdurrab, W. Budiharto","doi":"10.1109/iccsai53272.2021.9609723","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609723","url":null,"abstract":"The Coronavirus disease has dealt the Food and Beverage industry a great blow. Restaurants have to reduce their open hours and customers allowed to follow with the regulations, and it leaves them at a huge financial loss. We conduct this research to find the optimal possible way for restaurant to stay open and still have customer on this pandemic era. We propose that restaurant should make their reservation and booking system online as we have seen that online booking and ordering became popular lately. The purpose of this application is to reduce the contact needed between the customer and the staff to as little as possible, while also avoid creating waiting time for the customer. Our application is consisted of reservation system and ordering system. The reservation system enables customers to book a table online and check in via QR Code. The ordering system enables customers to pick a menu using their Smartphone and confirm their order, as well as paying it directly using electronic money.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"31 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":"115457609","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
An Efficient System to Collect Data for AI Training on Multi-Category Object Counting Task 一种用于多类别物体计数任务人工智能训练的高效数据收集系统
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609789
Brian Haessel, Munif Faisol Abdul Rahman, Steven Andry, T. W. Cenggoro
{"title":"An Efficient System to Collect Data for AI Training on Multi-Category Object Counting Task","authors":"Brian Haessel, Munif Faisol Abdul Rahman, Steven Andry, T. W. Cenggoro","doi":"10.1109/ICCSAI53272.2021.9609789","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609789","url":null,"abstract":"This study focused on the problem of collecting data to train AI for a multi-category object counting task, which is like a standard object counting task, where we need to count the number of a particular type of object, for instance, counting how many people in an image. In multi-category object counting, we need to count more than one type of object by keeping track of the number of each type of object. Although in the real object counting case, we often find that AI needs to count objects with multiple categories, the dataset for that particular task is not publicly available. Meanwhile, to have a robust AI for this task, it needs to be trained with a massive amount of data. Therefore, in this study, we developed a system to efficiently facilitate massive data collection for multi-category object counting. This aim was achieved by a careful design of the user experience in the system. The system has been proved to be useful via Technology Acceptance Model (TAM).","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"48 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":"114976216","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 Hydrodynamic Analysis of Water System in Dadahup Swamp Irrigation Area 达达up沼泽灌区水系统水动力分析
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/ICCSAI53272.2021.9609729
S. Purboseno, T. Suparyanto, A. A. Hidayat, B. Pardamean
{"title":"A Hydrodynamic Analysis of Water System in Dadahup Swamp Irrigation Area","authors":"S. Purboseno, T. Suparyanto, A. A. Hidayat, B. Pardamean","doi":"10.1109/ICCSAI53272.2021.9609729","DOIUrl":"https://doi.org/10.1109/ICCSAI53272.2021.9609729","url":null,"abstract":"Dadahup Swamp Irrigation Area (DIR) in Kapuas Regency, Central Kalimantan is developed for agricultural activities to provide food security after the pandemic. The water system consists of various channels, gates, and a flood embankment structure, which is also connected to three different rivers: Barito River, Mangkatif River, and Kapuas Mumpung River. To quantify flood risk assessments in the area, we perform a hydrodynamic analysis using the unsteady flow method via HEC-RAS software version 4.1.0. We use geometrical profiles from topography measurements and the outer boundary of the Dadahup DIR as input for the hydrologic model. Our results estimate the maximum surface water level from both cross and longitudinal sections in the channels and find that several points near the flood embankment area are prone to flood events. Our modeling approach provides a preliminary assessment for the local government to formulate a flood mitigation plan and policy in the area.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"22 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":"121036681","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: 5
A Systematic Literature Review of Fintech Investment and Relationship with Bank in Developed Countries 发达国家金融科技投资及其与银行关系的系统文献综述
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609743
Almira Rahma Saphyra, Raesita Zahra, Noerlina
{"title":"A Systematic Literature Review of Fintech Investment and Relationship with Bank in Developed Countries","authors":"Almira Rahma Saphyra, Raesita Zahra, Noerlina","doi":"10.1109/iccsai53272.2021.9609743","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609743","url":null,"abstract":"The financial industry has been evolving for decades, especially in developed countries. People in developed countries can adapt to technological changes more quickly. As a result, the potential for the growth of fintech companies is growing, owing to an increase in the number of investors involved in investing in fintech companies. The introduction of new fintech product developments demonstrates this. At the customer interface as well as in back-office operations, this evolution is marked by improved connectivity and information processing speed. Which, by collaborating with banks, one of the latest technologies will help all parties. A large number of innovative financial goods, business finance, financial related tools, and new forms of communication are all part of digital finance. As a result, this article explores the state of fintech capital and investment in developed countries by defining research, insights, trends, relationships, impacts, and challenges that are most relevant to developed countries in terms of fintech investment. Fintech and banks, as financial services, also play a significant role in the global financial market. As a result, by collaborating with fintech and banks, the financial services business model will become more effective and profitable. However, as this study shows, this partnership has its own set of implications and challenges for fintech investment.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"22 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":"114071928","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
Development of Portable Temperature and Air Quality Detector for Preventing Covid-19 新型冠状病毒便携式温度空气质量检测仪的研制
2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI) Pub Date : 2021-10-28 DOI: 10.1109/iccsai53272.2021.9609753
W. Budiharto, E. Irwansyah, R. Dewanti, Alexander Agung Santoso Gunawan, Danu Widhyatmoko, Jarot Soeroso Sembodo
{"title":"Development of Portable Temperature and Air Quality Detector for Preventing Covid-19","authors":"W. Budiharto, E. Irwansyah, R. Dewanti, Alexander Agung Santoso Gunawan, Danu Widhyatmoko, Jarot Soeroso Sembodo","doi":"10.1109/iccsai53272.2021.9609753","DOIUrl":"https://doi.org/10.1109/iccsai53272.2021.9609753","url":null,"abstract":"Due to Covid-19, body temperature measurement is mandatory and become an important consideration in determining whether an individual is healthy or not. This paper presents the development of portable temperature and air quality detector to prevent suspect of Covid-19 with the main symptom is the body of temperature above 38° Celsius. We propose an algorithm and architecture used for temperature detector with maximum distance 80cm and CO2 and Volatile Organic Compounds (VOC) measurement are as indicator of good air quality. Based on experiment, we can detect temperature accurately until 0.3° Celsius using digital temperature sensor MLX90614 comparing with commercial one, furthermore the system able to give information about the quality of air, allowing/not allowing someone to enter a room with accuracy 92.5%.","PeriodicalId":426993,"journal":{"name":"2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)","volume":"199 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":"122557195","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信