2021 9th International Conference on Information and Communication Technology (ICoICT)最新文献_第5页

Gaze-Controlled Digital Signage for Public Health Education during Covid-19 Pandemic 2019冠状病毒病大流行期间公共卫生教育的视线控制数字标牌

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527531

S. Wibirama, Suatmi Murnani, Irawan Dharma Sukowati, R. Ferdiana

{"title":"Gaze-Controlled Digital Signage for Public Health Education during Covid-19 Pandemic","authors":"S. Wibirama, Suatmi Murnani, Irawan Dharma Sukowati, R. Ferdiana","doi":"10.1109/ICoICT52021.2021.9527531","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527531","url":null,"abstract":"For more than a decade, digital signages have been used in health facilities and public environment to provide fun and interactive approach of education. Unfortunately, interacting with conventional digital signage during Covid-19 pandemic raises a concern on its hygiene. Thus, touchless interaction is preferable to avoid direct contact on the touch screen. Here we present a novel study on effectiveness of gaze-based interaction in a digital signage for public health education. Instead of touching the screen, the users engage with the content by gazing at a dynamic button that moves in horizontal or vertical direction. Experimental results show that gazing at faster dynamic buttons (angular speed of 60.28°/s) than its slower counterpart (angular speed of 30.14°/s) requires shorter time to complete a three-steps task (T = 84, Z = −1.977, p < 0.05). Our study provides a scientific proof of concept for further development of touchless digital signage that complies with health protocols of the World Health Organization during Covid-19 pandemic.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115713327","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: 4

Mobile Customer Behaviour Predictive Analysis for Targeting Netflix Potential Customer 针对Netflix潜在客户的移动客户行为预测分析

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527487

S. Tanuwijaya, A. Alamsyah, Maya Ariyanti

{"title":"Mobile Customer Behaviour Predictive Analysis for Targeting Netflix Potential Customer","authors":"S. Tanuwijaya, A. Alamsyah, Maya Ariyanti","doi":"10.1109/ICoICT52021.2021.9527487","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527487","url":null,"abstract":"The development of Indonesia's ICT environment has made the mobile video-on-demand (VOD) platform one of the emerging lifestyles. With advanced smartphone technology, mobile phone subscribers able to enjoy high-resolution mobile VOD service with a greater user experience. The purpose of this study is to profile and predict potential customers of one of the VOD platforms, Netflix, for personalizing marketing targets. Using machine learning predictive analytic methodology, customer profile and behavior data are divided into 3 clusters using the K-Means model before tested with several supervised models for getting the best model for each cluster. Feature importance analysis is conducted to support marketing insight for product offering follows up to each targeted potential customer. Significant variables affecting Netflix buyers and non-buyers within 3 different clusters are defined clearly with the number of potential customers that can be targeted as Netflix's future subscribers. The result shows the method can be used by the mobile operator to target potential customers with effective promotional or product offering by personalized marketing approach based on the behavioral pattern and customer needs. It is expected by implementing this methodology, effectivity and accuracy of marketing efforts will be increased compared to the conventional method.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302350","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

Learning Method of Performance-oriented Congestion Control (PCC) for Video Streaming Analysis 面向性能的视频流拥塞控制(PCC)学习方法

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527484

Rezy Noerdyah Ayu Saputri, H. Nuha, Sidik Prabowo

{"title":"Learning Method of Performance-oriented Congestion Control (PCC) for Video Streaming Analysis","authors":"Rezy Noerdyah Ayu Saputri, H. Nuha, Sidik Prabowo","doi":"10.1109/ICoICT52021.2021.9527484","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527484","url":null,"abstract":"Transmission Control Protocol (TCP) congestion control architecture suffers from performance issues that are not optimal. Thus making the TCP and the variations have little hope of achieving high performance. This is due to the use of hardwired TCP mapping where each event has been assumed to be a specific disruption and TCP must cope with the incident without understanding the real condition of the network. This assumption results in performance degradation. Performance-oriented Congestion Control (PCC) is a new congestion control that makes every sender observing the action and network performance empirically to be able to take action that yields high performance. PCC has been tested in several cases. One case is video streaming. The experiment is designed to obtain the performance for video streaming in terms of throughput, delay, and packet loss for the PCC and the TCP to determine better performance results. Results from the testing of each metric in which TCP and PCC throughputs are 1064.841 and 150.825 kbps respectively. Delay of TCP and PCC are 5.326 ms and 3.843 ms respectively. Packet loss of TCP and PCC are 0.905% and 0.016%, respectively. So the PCC achieves good performances on the parameters of delay and packet loss. Whereas the TCP is shown to perform better in terms of throughput.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"409 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126688296","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

RPA-based Bots for Managing Online Learning Materials 基于rpa的在线学习材料管理机器人

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527463

S. F. A. Razak, Faizuniza Mashhod, Zulfadhli Najmi Bin Zaidan, S. Yogarayan

{"title":"RPA-based Bots for Managing Online Learning Materials","authors":"S. F. A. Razak, Faizuniza Mashhod, Zulfadhli Najmi Bin Zaidan, S. Yogarayan","doi":"10.1109/ICoICT52021.2021.9527463","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527463","url":null,"abstract":"The global COVID-19 pandemic has seen a rise in digital learning materials being shared with students of all levels of education. Learning institutions usually provide a learning management system where all the notes, tutorial and example past year examination questions are provided for students to support their learning activities in courses throughout their studies. Students usually download the learning materials either as .zip or individual files in various file formats. The steps are repetitive for each registered course, therefore can be time consuming for students. Students also need to have a sense of appropriate file management skill in order to organize downloaded materials for easy access whenever necessary. When the number of courses grow throughout the years, improper files organization may result in loss of access or unidentifiable files in student machine or devices. Hence, the purpose of this paper is to investigate the potential of Robotic Process Automation (RPA) to address related challenges faced by students in managing the amount of learning materials provided through a learning management system or portal. A RPA-based bot was developed and integrated with a learning management system to accomplish the goals. The integration shows that RPA-based bots can minimize student’s effort in managing their learning materials efficiently.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126545763","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 and Experimental Characterization of Dual-Band Wearable Reflector Composed of AMC Structure for Wireless Communication 基于AMC结构的无线通信双波段可穿戴反射器的实现与实验表征

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527488

A. Munir, D. Haryanto, Ichsan Nusobri, Levy Olivia Nur

{"title":"Implementation and Experimental Characterization of Dual-Band Wearable Reflector Composed of AMC Structure for Wireless Communication","authors":"A. Munir, D. Haryanto, Ichsan Nusobri, Levy Olivia Nur","doi":"10.1109/ICoICT52021.2021.9527488","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527488","url":null,"abstract":"This paper presents an implementation of a dual-band wearable reflector composed of an artificial magnetic conductor (AMC) structure and its characterization through experimental measurement. The proposed wearable reflector, which is meant for wireless communications, comprises 3x3 AMC unit cells. Each unit cell comprises a square patch and a square ring patch with gaps placed in a concentrically organized pattern. An RT/Duroid® RO3003 dielectric substrate with a thickness of 0.5 mm is employed for the design and implementation. Meanwhile, a printed dipole antenna as an inseparable part of the wearable reflector is also deployed on the same dielectric substrate. This configuration, i.e., a printed dipole antenna and a wearable reflector, is expectable to operate at two different frequency bands or dual-band, covering the required frequencies of wireless communications while maintaining its compact size and simple configuration. Experimental characterization is applied to validate the proposed design, in which the results demonstrate the ability of configuration to work at two frequency responses, namely 2.45 GHz band, and 3.35 GHz band.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525508","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

Classification on Participants Renewal Process in Insurance Company: Case Study PT XYZ 保险公司参与人续期流程的分类:以XYZ为例

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527479

D. Utomo, Noperida Damanik, I. Budi

{"title":"Classification on Participants Renewal Process in Insurance Company: Case Study PT XYZ","authors":"D. Utomo, Noperida Damanik, I. Budi","doi":"10.1109/ICoICT52021.2021.9527479","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527479","url":null,"abstract":"Insurance is a form of risk management and one of the fastest-growing businesses. PT XYZ is a company that focuses on health and life insurance. One excellent product owned by PT XYZ is Managed Care (MC) Insurance and it dominates 64.5% of the company's premium income. However, MC has a high claim ratio value. Proven by there were 363 companies that have a claim ratio of more than 76% in 2020. The increase in the total claim ratio is due to the company has not been able to predict the claim ratio when the renewal company applies for an insurance participant. This study focuses on classifying participants on insurance renewal process so that company can be more selective to approve the participants. Participant selection can help a company to reduce the claim ratio. The proposed method is doing classification on insurance participants’ data using 3803 datasets with four attributes and five algorithms and find significant features when generating the model. The models will be validated using k-folds cross-validation with k=10, evaluation results show the accuracy of each algorithm as following, Naïve Bayes 70.00%, Support Vector Machines 67.00%, Decision Tree 95.40%, Logistic Regression 90.20%, and Neural Networks 79.30%. The results of the study recommend the Decision Tree algorithm with an accuracy of 95.40% for the classification of renewal companies that will join as insurance participants because it has a better accuracy value than other algorithms. Decision Tree shows that the most significant features in defining prospective company assessment is the average age.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"510 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123073983","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

Simulation Analysis of Partial Transmit Sequence on Palm Date Leaf Clipping for PAPR Value Reduction 棕榈枣叶剪枝部分传输序列的PAPR值降低仿真分析

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527478

Vincent, A. Suhartomo, J. W. Simatupang, M. Galina

{"title":"Simulation Analysis of Partial Transmit Sequence on Palm Date Leaf Clipping for PAPR Value Reduction","authors":"Vincent, A. Suhartomo, J. W. Simatupang, M. Galina","doi":"10.1109/ICoICT52021.2021.9527478","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527478","url":null,"abstract":"FFT, as the key concept in the OFDM system, produces a high PAPR value. Several techniques can be implemented to reduce it, such as the Palm Date Leaf clipping and the Partial Transmit Sequence. Previous researchers have evaluated each technique individually. This paper proposes to evaluate the PAPR value as the effect of combining the Partial Transmit Sequence (PTS) with the Palm Date Leaf (PDL) clipping technique. The evaluation is done with several modulation techniques, such as QPSK, 8-PSK, 16-PSK, 8-QAM, and 16-QAM. Since low PAPR performance is not advantageous if the signal’s BER value worsens, thus the evaluation also considers the BER performance. In this case, the Authors focus on the BER performance over the AWGN channel. The result shows that in all of the scenarios, the PTS technique could improve the signal’s BER and PAPR performance for low CR values such as 5 dB and 7 dB. Additionally, for higher CR values such as 10 dB and 20 dB, the BER performance is similar to the normal OFDM signal. Even so, it provides a consistent PAPR reduction of approximately 3 dB. Do note that the PAPR is evaluated at CCDF of 10−3. This way, the PTS technique always provides an improvement in signal BER performance. As for the PAPR performance, the PTS technique can improve all cases except for 8-QAM and 16-QAM signals with clipping technique at low clipping ratio such as 5 dB. However, the PTS technique still requires Side Information (SI), and it has high computational complexity.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"451 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125781133","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 Low-Cost High-Accuracy Thermal Camera Using Off-the-shelf Hardware Devices 使用现成硬件设备的低成本高精度热像仪

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527417

Dinh-Tien Tran, Viet-Khoa Nguyen, Ngoc-Thien Nhan, Duc-Hiep Nguyen, Hoang-Anh Pham

{"title":"A Low-Cost High-Accuracy Thermal Camera Using Off-the-shelf Hardware Devices","authors":"Dinh-Tien Tran, Viet-Khoa Nguyen, Ngoc-Thien Nhan, Duc-Hiep Nguyen, Hoang-Anh Pham","doi":"10.1109/ICoICT52021.2021.9527417","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527417","url":null,"abstract":"The Covid-19 pandemic is spreading worldwide, the demand for controlling and screening fever is increasing very rapidly. Some traditional methods like using thermometers or medical checking cannot handle many people in crowded areas such as airports, train stations, or buildings. Some thermal imaging systems are used to control people’s ins and outs. These systems help many governments decrease and prevent viruses’ spread by screening human temperature based on skin radiation. Despite all of the advantages this technology has had, this system’s very high cost is one reason to prevent some organizations from applying it despite the high potential of image processing, artificial intelligence, and the Internet of Things. This paper will present a system combining a low-cost thermal camera and a standard RGB camera for screening fever combined with attendance checking. The experimental results show that this proposed system can be applied in many areas, from universities to buildings, with the minimum cost and acceptable performance.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133600184","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

Pneumonia Classification using Gabor-Convolutional Neural Networks and Image Enhancement 基于gabo -卷积神经网络和图像增强的肺炎分类

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527427

A. E. Minarno, Muhammad Rifal Alfarizy, Agus Hendryawan, S. Syaifuddin, Yuda Munarko

引用次数: 0

Deep Convolutional Generative Adversarial Network Application in Batik Pattern Generator 深度卷积生成对抗网络在蜡染图案生成中的应用

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527514

A. E. Minarno, Moch. Chamdani Mustaqim, Yufis Azhar, Wahyu Andhyka Kusuma, Yuda Munarko

引用次数: 3