2020 8th International Conference on Information and Communication Technology (ICoICT)最新文献_第9页

Nonlinear SWE and Experimental Observation for Wave Simulation due to Bottom Motion 基于底运动的非线性SWE和波浪模拟实验观测

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166150

Astrid Velia Themba, P. H. Gunawan, A. Aditsania

引用次数: 0

Wave Height Prediction based on Wind Information by using General Regression Neural Network, study case in Jakarta Bay 基于风信息的广义回归神经网络波高预测，以雅加达湾为例

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166305

Vita Juliani, D. Adytia, Adiwijaya

{"title":"Wave Height Prediction based on Wind Information by using General Regression Neural Network, study case in Jakarta Bay","authors":"Vita Juliani, D. Adytia, Adiwijaya","doi":"10.1109/ICoICT49345.2020.9166305","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166305","url":null,"abstract":"Information about ocean wave is very important for naval navigation, port operations, offshore or nearshore activities around the sea waters. Moreover prediction of wave condition is necessary for design of harbour, coastal and offshore structures. Variations in wave heights are caused by wind pressure on free waves which make it random and uncertain, so that become difficult to predict. In previous studies, wave prediction have been carried out by using semi-empirical methods and conventional methods that require high resolution simulations and high computation. In this paper, we propose a method for prediction wave height from wind data by using a variant of Artificial Neural Network (ANN) with single pass associative memory-forward, so called General Regression Neural Network (GRNN). To obtain a set of training data, we perform numerical wave simulation by using SWAN (Simulating Wave Nearshore) model by using wind data obtained from ECMWF ERA-5. As a study area, we choose a rather shallow bathymetry and complex geometry, in Jakarta Bay, Indonesia. Results of prediction by using GRNN show a good agreement with wave data.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115440173","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

Fintech Growth Impact on Govemment Banking Business Model: Case Study of Bank XYZ 金融科技增长对政府银行业务模式的影响:以XYZ银行为例

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166227

R. Rangkuti, M. Amrullah, Hafidz Januar, A. Rahman, C. Kaunang, M. R. Shihab, B. Ranti

{"title":"Fintech Growth Impact on Govemment Banking Business Model: Case Study of Bank XYZ","authors":"R. Rangkuti, M. Amrullah, Hafidz Januar, A. Rahman, C. Kaunang, M. R. Shihab, B. Ranti","doi":"10.1109/ICoICT49345.2020.9166227","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166227","url":null,"abstract":"The presence of fintech companies currently has a considerable impact on the movement of conventional banks, Bank XYZ is no exception. With advances in technology and disruption of fintech services, customers take the advantages of financial transactions, such as financing, payments, and investments through fintech services. This will increasingly erode the number of banking customers. Therefore, Bank XYZ needs to make a change to maintain its market share. In this research, an analysis of Bank XYZ’s response in dealing with these threats in terms of transformation and technological innovation and changes in business models. This research utilizes a qualitative approach to identify the IT impacts on the business model change. The results of this research show that Bank XYZ made several changes in its implementation and strategy, namely innovation and utilization of the latest technological trends such as Big Data to improve services to customers, work on the unbanked people market segment, reduce the level of fraud, and develop online investment products. The changes made by Bank XYZ focus on product integration and providing digital banking services that meet current market needs, with the aim of being able to survive in the face of competition.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196330","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

Utilization of Internet of Thing and Social Media in Designing a Smart System for Identification Pollution Quality of Air, Water, and Temperature 利用物联网和社交媒体设计空气、水和温度污染质量识别智能系统

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166431

M. Saputra, R. W. Witjaksono, Warih Puspitasari

{"title":"Utilization of Internet of Thing and Social Media in Designing a Smart System for Identification Pollution Quality of Air, Water, and Temperature","authors":"M. Saputra, R. W. Witjaksono, Warih Puspitasari","doi":"10.1109/ICoICT49345.2020.9166431","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166431","url":null,"abstract":"The problem of pollution in big cities is one form of social issues. Natural sources and human activities can cause air pollution. Classification of air pollutants is divided into two, the first is a primary pollutant that is a pollutant which is generated directly from the source of air pollution, and the second is a secondary pollutant that is a pollutant that occurs from primary reactions in the atmosphere. The nature of air causes the effects of air pollution can be direct and local, regional, and global. Air pollution can endanger the health of humans, animals, and plants, disrupt aesthetics and comfort, or damage property. To overcome this social problem, the Government has regulated in Government Regulation Number 41 of 1999 concerning Air Pollution Control. Cooperation is needed for all relevant stakeholders and the community to overcome these social problems. Current conditions both the Government and the public are difficult to find out information about air quality in the surrounding environment, so the role of community functions is very limited in anticipating and overcoming the problem of air pollution. Based on these problems, Machine-to-Machine (M2M) technology and social media networks Twitter can be used as a medium for disseminating information about air quality to trigger public awareness of the condition of air pollution in the surrounding environment and increase the role of community functions in tackling the problem of air pollution.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128666136","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

MSOF-DT Strategy and Its Impact on Real-Time Systems Scheduling msoft - dt策略及其对实时系统调度的影响

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166453

F. A. Yulianto, Kuspriyanto, R. Mengko

引用次数: 0

Chord Recognition using FFT Based Segment Averaging and Subsampling Feature Extraction 基于FFT分段平均和子采样特征提取的和弦识别

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166355

Linggo Sumarno

{"title":"Chord Recognition using FFT Based Segment Averaging and Subsampling Feature Extraction","authors":"Linggo Sumarno","doi":"10.1109/ICoICT49345.2020.9166355","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166355","url":null,"abstract":"This paper proposes a feature extraction subsystem for a chord recognition system, which gives a fewer number of feature extraction coefficients than the previous ones. The method of the proposed feature extraction is FFT (Fast Fourier Transform) based segment averaging and subsampling. Guitar chords were used in developing the proposed feature extraction. In general, the method of the proposed feature extraction is as follows. Firstly, the input signal is transformed using FFT. Secondly, the left half portion of the transformed signal is processed in succession using SHPS (Simplified Harmonic Product Spectrum), logarithmic scaling, segment averaging, and subsampling. The output of subsampling is the result of the proposed feature extraction. Based on the test results, the proposed feature extraction was quite efficient for use in a chord recognition system. For the recognition rate category above 98%, the chord recognition system only required a number of seven feature extraction coefficients. In addition, for the recognition rate category above 90%, the chord recognition system only required a number of six feature extraction coefficients.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206339","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

Designing Green Procurement based on ERP for Leather Tanning Industry 基于ERP的皮革制革行业绿色采购设计

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166354

Mahsya Fajriani, A. Ridwan, M. Saputra

引用次数: 2

Synonyms-Based Augmentation to Improve Fake News Detection using Bidirectional LSTM 基于同义词增强的双向LSTM假新闻检测方法

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166230

Ghinadya, S. Suyanto

引用次数: 14

IoT Products Adoption for Smart Living in Indonesia: Technology Challenges and Prospects 物联网产品在印尼智能生活中的应用:技术挑战与前景

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166200

Rahmat Yasirandi, Alvin Lander, Hana Rifdah Sakinah, Isa Mulia Insan

引用次数: 7

Improving the Capacity of Data Hiding by Modifying the Interpolation of Audio Samples 通过修改音频采样插值提高数据隐藏能力

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166336

R. Setiawan, T. Ahmad

引用次数: 1