2022 International Conference on Data Science and Its Applications (ICoDSA)最新文献_第5页

Wave Forecast using Bidirectional GRU and GRU Method Case Study in Pangandaran, Indonesia 基于双向GRU和GRU方法的波浪预报——以印度尼西亚Pangandaran地区为例

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862832

Azka Jauhary Thanthawy Sukanda, D. Adytia

引用次数: 4

Identification of Influencers and Community of Lazada Using Social Network Analysis 利用社会网络分析识别Lazada的影响者和社区

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862849

Nabila Ammara Diliana, Indrawati

{"title":"Identification of Influencers and Community of Lazada Using Social Network Analysis","authors":"Nabila Ammara Diliana, Indrawati","doi":"10.1109/ICoDSA55874.2022.9862849","DOIUrl":"https://doi.org/10.1109/ICoDSA55874.2022.9862849","url":null,"abstract":"Indonesia reaches more than 200 million internet users in 2022. Considering a large number of internet users in Indonesia, there are many digital-based businesses and one of them is e-commerce platforms. Understanding user in social media plays an important role in determining a suitable digital marketing strategy, one of which is by knowing the user interaction or User Generated Content in social media. The research related to User Generated Content is commonly used as one the data to analyze marketing strategy in social media. One of the previous research about User Generated Content as data to analyze marketing strategy for an educational platform and tourism platform. Both the previous study used User Generated Content and Social Network Analysis to analyze the data. Therefore, this study aims to form a network using data sources based on tweets on social media that models Lazada network interaction in Indonesia. We use User Generated Content as a source to find the influencer's and communities' representations of these are the two most important in deciding on a digital marketing strategy, especially for their social media. The results of this study identify the influencers and communities of the social network. The research will be worthwhile for business opportunities, policymakers, and Lazada.","PeriodicalId":339135,"journal":{"name":"2022 International Conference on Data Science and Its Applications (ICoDSA)","volume":"abs/1402.4986 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089975","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

DDoS Attack Detection System using Neural Network on Internet of Things 基于物联网的神经网络DDoS攻击检测系统

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862848

Lulus Wahyu Prasetya Adi, Satria Mandala, Y. Nugraha

{"title":"DDoS Attack Detection System using Neural Network on Internet of Things","authors":"Lulus Wahyu Prasetya Adi, Satria Mandala, Y. Nugraha","doi":"10.1109/ICoDSA55874.2022.9862848","DOIUrl":"https://doi.org/10.1109/ICoDSA55874.2022.9862848","url":null,"abstract":"Distributed Denial-of-Service (DDoS) is an attack launched over a computer network to make the server unable to provide services to users. DDoS is also effectively used to stop services on Internet of Things systems based on the message Queuing Telemetry Transport (MQTT) protocol. In the system, attackers usually attack brokers who are used to manage data traffic between the issuer and the customer. Several research projects have been undertaken to detect DDoS in the Internet of Things (IoT) using machine learning. However, existing research projects still generally have low detection accuracy in predicting DDoS. This study provides a solution to the above problems by proposing the development of a machine learning model based on Neural Network (NN) to detect DDoS. Furthermore, this study also compared the results of NN predictions with K-Nearest Neighbor (KNN). The methods used in this study are as follows: 1. Conducting literature studies. 2. Develop both machine learning models. 3. Conduct analysis. Rigorous experiments have been carried out using dataset derived from other research and dataset generated through DDOS simulations in IoT environments. By using the dataset generated through simulation, the results obtained showed that the accuracy of NN is better than KNN, which is 99.99% and 99.82%, respectively.","PeriodicalId":339135,"journal":{"name":"2022 International Conference on Data Science and Its Applications (ICoDSA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127862285","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

Topic Classification in Indonesian-language Tweets using Fast-Text Feature Expansion with Support Vector Machine (SVM) 基于支持向量机快速文本特征扩展的印尼语推文主题分类

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862899

Imaduddin Muhammad Fadhil, Y. Sibaroni

引用次数: 1

Extractive Text Summarization for Snippet Generation on Indonesian Search Engine using Sentence Transformers 基于句子变换的印尼语搜索引擎片段生成的抽取文本摘要

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862886

Komang Uning Sari Devi, Lya Hulliyyatus Suadaa

引用次数: 1

ICoDSA 2022 Author Index ICoDSA 2022作者索引

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/icodsa55874.2022.9862893

引用次数: 0

Binary Data Correction Simulation Using Convolutional Code on Additive White Gaussian Noise Channel 加性高斯白噪声信道上卷积码的二值数据校正仿真

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862932

H. Nuha, Tafta Zani, Muhammad Fadhly Ridha, Adiwijaya

{"title":"Binary Data Correction Simulation Using Convolutional Code on Additive White Gaussian Noise Channel","authors":"H. Nuha, Tafta Zani, Muhammad Fadhly Ridha, Adiwijaya","doi":"10.1109/ICoDSA55874.2022.9862932","DOIUrl":"https://doi.org/10.1109/ICoDSA55874.2022.9862932","url":null,"abstract":"Access to digital communications in remote areas requires a mechanism to increase the robustness of the transmitted data. Many areas in Indonesia still have difficulty accessing the Internet. This is because the location of the settlement is remote from the signal transmitter Convolutional codes are a technique to improve the reliability of data transmission. This article contains a simulation process of Convolutional Code from an application that we developed using Java. The basic difference between block codes and convolution codes in designing and evaluating is that Block codes are based on algebraic techniques or a combination whereas ConvCode based on construction techniques. Some of the excellent features of this application are demo encoding, modulation, noise generation on white Gaussian noise channels, and decoding using the Viterbi algorithm. The error correcting code process begins by checking the bit similarity (hamming distance) in the code word with the trellis diagram which will produce a path with weights depending on the hamming distance. With the Viterbi Algorithm, we will decode the codeword into the initial code by finding the highest probability (Maximum Likelihood) based on the Hamming distance from each state. Experiments show that the application successfully demonstrates the system's reliability to recover information signals damaged by noise.","PeriodicalId":339135,"journal":{"name":"2022 International Conference on Data Science and Its Applications (ICoDSA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459894","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

Quality Control on Interpolation-based Reversible Audio Data Hiding using Bit Threshold 基于插值的可逆音频数据隐藏的比特阈值质量控制

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862889

Yoga Samudra, T. Ahmad

{"title":"Quality Control on Interpolation-based Reversible Audio Data Hiding using Bit Threshold","authors":"Yoga Samudra, T. Ahmad","doi":"10.1109/ICoDSA55874.2022.9862889","DOIUrl":"https://doi.org/10.1109/ICoDSA55874.2022.9862889","url":null,"abstract":"To solve daily problems, sometimes information needs to be accessible digitally or online by authorized parties. However, accessing some information may need secure data transmission. This reliable process can be achieved by using data security techniques to protect the transmitted information, such as cryptography or steganography. As part of data hiding methods, steganography works by hiding private information inside other public data, mainly multimedia data, in plain sight. Nevertheless, there are some main concerns regarding previous research, such as the similarity level and hiding capacity of the respective audio file. In this research, private information is embedded into an audio file as cover data so it can be retrieved later by the receiver without any suspicion of other parties. Therefore, this research focuses on providing flexibility in the embedding capacity of cover data by using an interpolation-based approach as the core sampling technique and then enhancing the similarity level by adding bit threshold values to evenly distribute hiding capacity on each sample as even as possible. Experimental results show that this proposed method can achieve an average similarity level of 103.56 dB on 100 Kb private data to an average of 93.95 dB on 300 Kb private data. It is better than some existing studies.","PeriodicalId":339135,"journal":{"name":"2022 International Conference on Data Science and Its Applications (ICoDSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129554267","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

Measuring Student’s Satisfaction and Loyalty on Microsoft Power BI Using System Usability Scale and Net Promoter Score for the Case of Students at Bina Nusantara University 用系统可用性量表和净推荐值测量学生对Microsoft Power BI的满意度和忠诚度——以比那努沙塔拉大学学生为例

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/ICoDSA55874.2022.9862839

Yanfi, Arief Ramadhan, A. Trisetyarso, M. Zarlis, E. Abdurachman

{"title":"Measuring Student’s Satisfaction and Loyalty on Microsoft Power BI Using System Usability Scale and Net Promoter Score for the Case of Students at Bina Nusantara University","authors":"Yanfi, Arief Ramadhan, A. Trisetyarso, M. Zarlis, E. Abdurachman","doi":"10.1109/ICoDSA55874.2022.9862839","DOIUrl":"https://doi.org/10.1109/ICoDSA55874.2022.9862839","url":null,"abstract":"Microsoft Power BI is one of the visual analytics platforms that help people to see and understand the data. This research aimed to evaluate students’ satisfaction and loyalty to the Microsoft Power BI application. The method used in this research utilized the DECIDE framework to determine the evaluation goals, explore the questions, choose the evaluation and data collection methods, and identify the practical issues. The evaluation was conducted using the System Usability Scale (SUS) and Net Promoter Score (NPS). The application's score using SUS was 51 and the NPS score was below 6. The result showed that students are not quite satisfied and loyal to the application. This finding is part of the product lifecycle where users gave feedback for the improvement of the product to satisfy users’ needs, even though this finding is only in small scope at Bina Nusantara University. Therefore, the corporation should review the application in terms of features, performance, and tutorials and invest more resources in marketing activities to acquire new customers, including academic fields, reducing its competitiveness in the market. In addition, we proved that without asking Net Promoter Score (NPS) questions, the Net Promoter Score (NPS) values could be taken from SUS to determine participant loyalty.","PeriodicalId":339135,"journal":{"name":"2022 International Conference on Data Science and Its Applications (ICoDSA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130397345","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

ICoDSA 2022 Homepage

2022 International Conference on Data Science and Its Applications (ICoDSA) Pub Date : 2022-07-06 DOI: 10.1109/icodsa55874.2022.9862860

引用次数: 0