2021 Sixth International Conference on Informatics and Computing (ICIC)最新文献_第3页

ICIC 2021 Committees ICIC 2020委员会

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/icic54025.2021.9632971

引用次数: 0

Text Preprocessing Impact for Sentiment Classification in Product Review 文本预处理对产品评论情感分类的影响

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632884

Murahartawaty Arief, Mustafa Bin Matt Deris

{"title":"Text Preprocessing Impact for Sentiment Classification in Product Review","authors":"Murahartawaty Arief, Mustafa Bin Matt Deris","doi":"10.1109/ICIC54025.2021.9632884","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632884","url":null,"abstract":"In the Covid-19 pandemic situation, the e-commerce platform has significant data of product reviews in real-time. Businesses need rating and review systems to immediately expose their consumers' feelings about their products and services and use every volume of data to strengthen their competitive strategies. Amazon is one platform that can provide a vast quantity of product review data. Unfortunately, data from product reviews are typically unstructured and unmanageable. Therefore, this experimental study observed text preprocessing impact to process unstructured product review data using sentiment classifier Decision Tree, Naïve Bayes, and Support Vector Machine (SVM) with better accuracy. The SVM performed higher evaluation model performance, with an accuracy of 88,13%, but the Naïve Bayes classifier has minimum execution time. Furthermore, the experimental result using our approach TF-IDF for feature extraction may significantly improve classification accuracy. As a result, our approach reveals that a good text preprocessing sequence is critical to the classifier's prediction performance for unstructured product review data.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"1 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":"128658046","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

Management of Access Control for Decentralized Online Educations using Blockchain Technology 基于区块链技术的分散式在线教育访问控制管理

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632999

Lista Meria, Q. Aini, Nuke Puji Lestari Santoso, Untung Raharja, S. Millah

引用次数: 26

Design of Blockchain Implementation for Supervision of Vaccine Distribution: Indonesia Case 区块链实施疫苗分销监管的设计:印度尼西亚案例

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632990

Lukman Rosyidi, Warsono, M. S. Romadhon

引用次数: 0

Examining the Adoption of Mobile Payment Service: Expectation Confirmation Model with Trust 考察移动支付服务的采用:带信任的期望确认模型

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632968

Albertus Dwiyoga Widiantoro, FX Hendra Prasetya, Bernardinus Harnadi

{"title":"Examining the Adoption of Mobile Payment Service: Expectation Confirmation Model with Trust","authors":"Albertus Dwiyoga Widiantoro, FX Hendra Prasetya, Bernardinus Harnadi","doi":"10.1109/ICIC54025.2021.9632968","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632968","url":null,"abstract":"This study has an objective to examine the acceptance of mobile payment services by employing a modified ECM model with Trust. Several related studies on e-commerce and mobile payment have been investigated to derive important variables which can be employed on a wanted model. The model expresses the effect of customers' trust on their satisfaction in using mobile payment services and their continuance intention in using it. The online questionnaires constructed based on the proposed model were distributed to mobile payment users to gather their perceptions in using it. The 338 questionnaires gathered were analyzed statistically by SEM to test the hypotheses of the study. The results of the analysis reveal that customers' trust is a significant variable to enhance customers' satisfaction and continuance intention in using mobile payment services. Other output refer that Trust and Confirmation have a direct effect on the Perceived Usefulness of the services. Furthermore, both Perceived Usefulness and Trust will make consumers feel satisfied and tend to continuance their intention in using mobile payment services. This study contributes to financial service providers in delivering an obviousness, how was the trust of services can make consumers feel satisfy and use the service continually.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"101 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":"123169431","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

Health Care Mobile Application Development for Sub-District Primary Health Care: How and Why 医疗保健移动应用程序开发的街道初级卫生保健:如何和为什么

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632883

Eka Miranda, Mediana Aryuni, Richard Richard, Adrian Giovanny Tanara

引用次数: 0

Convolutional Neural Network for Predicting Sentiment: Case Study in Tourism 基于卷积神经网络的情绪预测:以旅游业为例

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632887

M. Rusandi, E. Sutoyo, Vandha Widartha

{"title":"Convolutional Neural Network for Predicting Sentiment: Case Study in Tourism","authors":"M. Rusandi, E. Sutoyo, Vandha Widartha","doi":"10.1109/ICIC54025.2021.9632887","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632887","url":null,"abstract":"As a country with much natural wealth, Indonesia tries to utilize beach tourism in Bali to attract tourists. One of the websites in the tourism sector that is widely used by the world community today is TripAdvisor. Through TripAdvisor, tourists can find information about the beaches in Bali. Each beach has reviews written by tourists who have visited. However, reviews on TripAdvisor are unreliable and even biased. Therefore, Sentiment Analysis of Beach Reviews in Bali on the TripAdvisor Website can be a solution. This study uses real datasets from the TripAdvisor website in tourist reviews of the five most favorite beaches in Bali: Seminyak, Nusa Dua, Double Six, Kelingking, and Canggu. The research used the Convolutional Neural Network (CNN) architecture to produce positive and negative label predictions. The sentiment analysis results are visualized into a graph that describes tourist opinions on the five most favorite beaches in Bali. This study also measures the performance of the CNN model in making predictions. The accuracy obtained is 88% on Seminyak beach, 90% on Nusa Dua beach, 90% on Double Six beach, 87% on Kelingking Beach, and 85% on Canggu Beach. The CNN model performance measurement also produces precision, recall, and ROC curve on each beach.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"447 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":"127609490","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

Scrum Team Ownership Maturity Analysis on Achieving Goal 实现目标的Scrum团队所有权成熟度分析

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632969

Dennis Michael, Erick Dazki, Handri Santoso, R. E. Indrajit

引用次数: 0

Internet of Things-based Early Warning Car Theft Security System Using Smartphones 基于物联网的智能手机汽车防盗预警系统

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/ICIC54025.2021.9632901

Zaenal Mutaqin Subekti, Suhadi Suhadi, R. Ramdani, Amat Suroso, Rudi Budi Agung, Miftakhus Surur

{"title":"Internet of Things-based Early Warning Car Theft Security System Using Smartphones","authors":"Zaenal Mutaqin Subekti, Suhadi Suhadi, R. Ramdani, Amat Suroso, Rudi Budi Agung, Miftakhus Surur","doi":"10.1109/ICIC54025.2021.9632901","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632901","url":null,"abstract":"Car safety when the owner parked his vehicle on the street or at home is very at risk of theft, if the vehicle does not have a double lock it will result in the car being stolen without the owner’s knowledge. Car theft is caused by several factors, the main factor is the inadequate car security system, so that the car is turned off if there is theft, sometimes the car alarm does not sound. While the remote control is generally only used to open / close doors and still uses infrared sensors which have a limited range. The car security early warning system is a warning / early detection system to see the condition of the car and information on the parking position (idle) starting from the position of the car theft until the vehicle owner finds out quickly and accurately. In previous research, the use of NodeMCU as a motorized vehicle security system was visually connected to a smartphone device. NodeMCU as an Arduino board that has the ability to access Wireless Fidelity. Passive InfraRed sensor is a sensor that is used to detect infrared rays and only receives infrared radiation from the outside, so that the movement of objects can be known. The purpose of this study is to design a smartphone-based car early warning system. Based on the results of testing the tool made, the accuracy of the system used is 90% which is effective for dealing with the movement of parked cars from theft.","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":"125141455","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

[ICIC 2021 Back Cover] [icic2021封底]

2021 Sixth International Conference on Informatics and Computing (ICIC) Pub Date : 2021-11-03 DOI: 10.1109/icic54025.2021.9632984

引用次数: 0