2021 Sixth International Conference on Informatics and Computing (ICIC)最新文献_第4页

Happy Hypoxia Early Detection Tool in IoT Based for COVID-19 Patients Using SpO2 Sensor, Body Temperature and Electrocardiogram (ECG) 基于SpO2传感器、体温、心电图的物联网快乐缺氧早期检测工具

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9633002

Wanda Vernandhes, N. S. Salahuddin, R.R Sri Poernomo Sari, Trini Saptariani

{"title":"Happy Hypoxia Early Detection Tool in IoT Based for COVID-19 Patients Using SpO2 Sensor, Body Temperature and Electrocardiogram (ECG)","authors":"Wanda Vernandhes, N. S. Salahuddin, R.R Sri Poernomo Sari, Trini Saptariani","doi":"10.1109/ICIC54025.2021.9633002","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9633002","url":null,"abstract":"This research was aims to design a prototype and application for early detection of Happy Hypoxia symptoms in COVID-19 patients based on the Internet of Things (IoT). The experimental board consists of a microcontroller integrated with a pulse oximetry sensor, a heart rate sensor and a body temperature sensor. To determine the feasibility of the tool, an accuracy test is carried out. Accuracy shows the value of the proximity of the measurement results to the reference value or standard value. Accuracy is obtained by calculating the error value. The accuracy of the sensors used in this study refers to standard medical equipment that has been calibrated. In this study, the accuracy value was obtained by referring to the mean of error rate of each sensor. The sensor reading value is sent from the microcontroller to firebase as a cloud database and then displayed on the application dashboard as a user interface. From this data, it is hoped that it can help COVID-19 sufferers to detect the symptoms of Happy Hypoxia and help medical experts for prognostic or therapeutic purposes.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124245909","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 of Deep Learning in Order to Detect Inapposite Mask User 实现深度学习以检测不合适的掩码用户

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632994

Ryan Gusti Nugraha, Mochamad Yoga Wibowo, Prasetyo Ajie, H. H. Handayani, Ahmad Fauzi, Anis Fitri Nur Masruriyah

引用次数: 0

Sarcasm Detection of Tweets in Indonesian Language Using Long Short-Term Memory 基于长短期记忆的印尼语推文讽刺检测

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632886

Suko Tyas Pernanda, Moh Edi Wibowo, N. Rokhman

{"title":"Sarcasm Detection of Tweets in Indonesian Language Using Long Short-Term Memory","authors":"Suko Tyas Pernanda, Moh Edi Wibowo, N. Rokhman","doi":"10.1109/ICIC54025.2021.9632886","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632886","url":null,"abstract":"Twitter is a massive source of information that can potentially be used to obtain valuable insights about public opinions, public ideas, and public circumstances. Extracting accurate information from tweets, however, is often challenging due to the use of informal, non-standard, and figurative languages including sarcasm. Sarcasm itself conveys messages using words with opposite literal meaning. Sarcasm detection, therefore, becomes an important task during information extraction from public tweets. This research proposes the use of LSTMs to detect sarcastic tweets in Indonesian language through the extraction of sentence-embedding features. LSTMs have been known to be able to learn sequential patterns in input data so that features extracted by LSTMs are more representative than those manually hand-crafted by human. The proposed LSTMs are combined with the Word2Vec model that serves as a word encoder that preserves semantic meaning. The proposed method is evaluated on tweets that are scrapped from the Web using some keywords related to popular topics. The experimental results demonstrate that the proposed method is able to achieve an accuracy of 82.13% and an f1-score of 61.31% outperforming the conventional TF-IDF + naïve Bayes sarcasm detector. These results thus prove that sentence-embedding is able to extract features that are more accurate and more discriminative for sarcasm detection.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965916","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

The Technology Acceptance Model on Electronic Letter (E-Letter) Application 电子信函应用中的技术接受模型

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632915

Nashrul Hakiem, H. Nanang, A. T. Muharram, Velia Handayani, Iik Muhamad Malik Matin, S. Masruroh

引用次数: 0

[ICIC 2021 Front matter] [ICIC 2021前沿事项]

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/icic54025.2021.9632958

S. Jain, Sven Groppe

{"title":"[ICIC 2021 Front matter]","authors":"S. Jain, Sven Groppe","doi":"10.1109/icic54025.2021.9632958","DOIUrl":"https://doi.org/10.1109/icic54025.2021.9632958","url":null,"abstract":"ISIC 2021 has attracted 4 top-shot researchers as advisory The conference committee has taken due care in finalizing the three keynote speakers and the eight invited speakers for the conference They are diversified across the whole world and are eminent experts in their field The conference has also tied up with 14 special sessions with overall 34 chairs There are 21 members as chairs in the main conference organization and approximately 200 technical program committee members from various countries all around the world ISIC 2021 showcases one workshop three tutorials The conference depicts a high geographic diversity with members from around 40 different countries and high gender diversity with more than 35% women in its organization ISIC 2021 is Hybrid (Face-to-face and Online) in mode Though the COVID-19 pandemic hits this initiative to some extent, we have brought out a quality proceeding The review and selection process has ensured that only high quality manuscripts in the area of the conference are accepted for final publication We are glad to share that we received a total number of 110 submissions in the main conference There were 15 desk rejections by the editors Rest 95 were passed to reviewers We invited reviewers to bid for submissions We have managed to get three to six reviews for each submission;with each reviewer getting a maximum of four submissions to review All reviews are from internationally renowned experts Fifty five papers were accepted and finally forty seven papers are published in the proceedings The accepted submissions are spread across 17 different countries with not more than 2-3 papers from any same organization © 2020 Copyright for this paper by its authors","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127905822","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

Latent Dirichlet Allocation for Medical Records Topic Modeling: Systematic Literature Review 病历主题建模的潜在狄利克雷分配:系统文献综述

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632993

M. Mustakim, Retantyo Wardoyo, K. Mustofa, G. Rahayu, Ida Rosyidah

{"title":"Latent Dirichlet Allocation for Medical Records Topic Modeling: Systematic Literature Review","authors":"M. Mustakim, Retantyo Wardoyo, K. Mustofa, G. Rahayu, Ida Rosyidah","doi":"10.1109/ICIC54025.2021.9632993","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632993","url":null,"abstract":"The fast growth of Electronic Medical Records (EMR) has improved its functionalities and increase its use in secondary functions. EMRs can be used to improve the quality and capacity of physicians and medical students. It is done by using EMRs as a data source for researches and learning. A lot of studies have been done in this area. Various methods are also proposed. One of the methods used in medical records retrieval is Latent Dirichlet Allocation (LDA). Thus, research on LDA for medical records has also been carried out quite a lot. Unfortunately, those researches are still scattered and make it difficult to know the state of the arts of utilizing LDA in the medical records field. Our research intends to explore the studies of the LDA method progress in the medical field. To better present responsible literature study, our research used Systematic Literature Review as a research methodology. The literature review was conducted on studies from 2015 to 2021. The result of the literature review showed that the LDA method had been used in several research topics. And most of the literature used private datasets in their experiments. Some researchers also added a modification in the LDA method. Even though the LDA method proved a great method in medical fields, it has several limitations that need to be overcome.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116412688","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

A Communication Assistant Application for the Deaf 聋人通讯助理申请

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9633011

Apriandy Angdresey, Ivana Valentine Masala, V. D. Kumenap, Michael George Sumampouw, Kristian Alex Dame, Ivan Daniel Reynaldo Riady

引用次数: 3

User Sentiment Analysis in the Fintech OVO Review Based on the Lexicon Method 基于Lexicon方法的金融科技OVO评论用户情感分析

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632909

Albertus Dwiyoga Widiantoro, A. Wibowo, Bernardinus Harnadi

{"title":"User Sentiment Analysis in the Fintech OVO Review Based on the Lexicon Method","authors":"Albertus Dwiyoga Widiantoro, A. Wibowo, Bernardinus Harnadi","doi":"10.1109/ICIC54025.2021.9632909","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632909","url":null,"abstract":"User reviews are important in the new approach to fintech services. To learn this information, a simple sentiment analysis can make the right observations to support the OVO fintech system in analyzing the success of the fintech system. The analysis has several stages, starting from how to extract comment data from the play store, extracting meaningful information from the play store platform, and extracting the data into valuable information. Moreover, accurate topic modeling and document representation is another challenging task in sentiment analysis. We propose a lexicon-based topic modeling in observing user sentiment simply by looking at the number of words that appear. The proposed system retrieves OVO fintech comment data from the Play Store, removes irrelevant content to extract meaningful information, and generates topics and features from the extracted data using NLTK. Data processing using google collab in Python language where data is used freely. Data analysis using the word cloud method, Exploratory Data Analysis (EDA), correlation analysis between words, ordering the number of words in sentences revealed that OVO comments in that period tended to be negative","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130455445","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: 3

Legality On Digital Document Using Blockchain Technology: An Exhaustive Study 使用区块链技术的数字文件合法性:详尽研究

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632860

A. pambudi, Suryari Purnama, Tsara Ayuninggati, Nuke Puji Lestari Santoso, Anggun Oktariyani

{"title":"Legality On Digital Document Using Blockchain Technology: An Exhaustive Study","authors":"A. pambudi, Suryari Purnama, Tsara Ayuninggati, Nuke Puji Lestari Santoso, Anggun Oktariyani","doi":"10.1109/ICIC54025.2021.9632860","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632860","url":null,"abstract":"This research uses Blockchain-based techniques to overcome the problem of easy diploma counterfeiting in Indonesia. Required authentication by the company using staff can save time. Because the Blockchain technique, which has six characteristics, can solve at least four problems, including reducing the number due to peer-to-peer decentralization, and reducing the time spent validating authenticity. To protect the protection system that uses this Blockchain, it is necessary to do library research as one of the previous applications of the methods used in previous researchers and continue the goals of previous researchers. In the future, further research on Blockchain techniques is needed in case of forgery of other documents so that this technology can be adopted and developed further. Based on the literature study conducted in this research, it is concluded that Blockchain technology has a positive impact as a transformation towards new energy and economic acceleration based on green technology, so that digitalization and harmonization of the academic atmosphere can be created, especially through the validity of certificates. The results of this study provides a detailed Experimental Assessment and examines the proposed model for verifying completion certificates using Blockchain Technology.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133822131","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

Prototype Blockchain Based Smart Contract For Freelance Marketplace System 基于区块链的自由市场系统智能合约原型

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9633001

I. Afrianto, Christover Ramanda Moa, S. Atin, Iding Rosyidin, Suryani

引用次数: 5