2022 10th International Conference on Cyber and IT Service Management (CITSM)最新文献

Indonesia COVID-19 Online Media News Sentiment Analysis with Lexicon-based Approach and Emotion Detection 基于词典的印尼COVID-19网络媒体新闻情感分析与情感检测

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935884

Bayu Waspodo, Nuryasin, Amalia Khaerunnisa Nursya Bany, Rinda Hesti Kusumaningtyas, Eri Rustamaji

{"title":"Indonesia COVID-19 Online Media News Sentiment Analysis with Lexicon-based Approach and Emotion Detection","authors":"Bayu Waspodo, Nuryasin, Amalia Khaerunnisa Nursya Bany, Rinda Hesti Kusumaningtyas, Eri Rustamaji","doi":"10.1109/CITSM56380.2022.9935884","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935884","url":null,"abstract":"Social distancing and isolation are one of the impacts of COVID-19 pandemic, which lead to the increase of internet users across the country especially in suburbs area. Consequently, news regarding COVID-19 reported by the media particularly online media would reach extensive masses. One of the concerns pertaining to this issue is the sentiments and emotions evoked by COVID-19 news, which those sentiments and emotions are crucial in shaping perceptions and attitudes of the public about COVID-19. Therefore, understanding the sentiments and emotions caused by COVID-19 news would help the public more aware in the process of seeking information through online media news. This research used more than 19.000 COVID-19 headlines from known and popular online media starting March 2020 (based on public health authority announcements) to March 2021. NRC Emotion Lexicon used to detect sentiments and emotions from the headlines. The result shown from the analysis stated that 40% of all the headlines evoked negative sentiments. The first seven months were dominated by negative sentiments. Although, at the end of the 2020 positive sentiment started increasing gradually. Sadness, Fear, Trust, and Anticipate were the most dominant emotions evoked by COVID-19 news. The high negative sentiment has no correlation with death-per-million because of COVID-19 in Indonesia.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124762303","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

Development of Mobile Religious-Consultation Application: Design Thinking Approach 移动宗教咨询应用的开发:设计思维方法

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935983

S. Agung, Dhifa Mutia Wulan Sari, D. Khairani, Viva Arifin, Teddy Indira Budiwan, Saepul Aripiyanto

{"title":"Development of Mobile Religious-Consultation Application: Design Thinking Approach","authors":"S. Agung, Dhifa Mutia Wulan Sari, D. Khairani, Viva Arifin, Teddy Indira Budiwan, Saepul Aripiyanto","doi":"10.1109/CITSM56380.2022.9935983","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935983","url":null,"abstract":"State Islamic Higher Education (PTKIN) is a formal Islamic educational institution tasked with administering higher education with a mission of religious moderation that spreads moderate understanding. This study aims to design an ustadz consultation application that facilitates ulama or female ulama (ustadz/ustadzah) currently in the PTKIN organization to preach and answer community problems directly and interactively. Currently, there are no facilities for ustadz/ustadzah in conveying religious knowledge (preaching). This research focuses on designing application designs for ustadz consultations as a form of integration between Islamic science and technology to the high-fidelity prototype stage. The article's purpose is theoretical and methodological justification, practical testing and evaluation of Mobile Religious-Consultation Application processes using design thinking procedure. The Test was conducted using the System Usability Scale (SUS) and Single Ease Question (SEQ) methods and was conducted on 70 respondents. Testing with SUS got a final score of 91% with an Acceptable A rating scale for the Ustadz application and a final score of 80.5% with an Acceptable B rating scale for end-user applications. Meanwhile, in the SEQ test, this study obtained a score of 85.83%, a score of 7 (Very Easy), 10%, a value of 6 (Easy), and 4.17%, a value of 5 (Quite Easy) for the ustadz application and a score of 83.7% a score of 7 (Very Easy), 13.2% score 6 (Easy), 2.1% score 5 (Quite Easy), 0.7% score 4 (Neutral), and 0.3% score 3 (Moderately Difficult) for end-user applications.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736158","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

The Continuance Intention of E-Learning: The Role of Compatibility and Self-Efficacy Technology Adoption 网络学习的持续意向:兼容性与自我效能感的作用

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935868

Indriana, D. Alamsyah, N. Othman

{"title":"The Continuance Intention of E-Learning: The Role of Compatibility and Self-Efficacy Technology Adoption","authors":"Indriana, D. Alamsyah, N. Othman","doi":"10.1109/CITSM56380.2022.9935868","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935868","url":null,"abstract":"This study examines factors that can increase continuance intention in online learning users. There are several factors studied including compatibility, personal innovativeness, and self-efficacy. The research method used is a quantitative survey, where the survey was conducted to 469 students using online learning in Bandung (Indonesia). Data from respondents was processed using SmartPLS with two tests, namely PLS Algorithm and Bootstrapping. The model was tested through inner and outer tests as well as analysis based on research hypothesis testing. The results of the study found that compatibility and self-efficacy had a positive relationship with continuance intention. Students can continue the learning method with online learning if it is supported by the compatibility of hardware and software. It also requires online learning skills from students. However, it is known that the personal innovativeness of students is not sufficient to support the level of student continuance intention. This research is useful for universities in evaluating student learning behavior in online learning.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529008","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

Fault Detection in Wireless Sensor Networks Data Using Random Under Sampling and Extra-Tree Algorithm 基于随机下采样和额外树算法的无线传感器网络数据故障检测

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935888

Luh Kesuma Wardhani, Rifqi Adjie Febriyanto, Nenny Anggraini

{"title":"Fault Detection in Wireless Sensor Networks Data Using Random Under Sampling and Extra-Tree Algorithm","authors":"Luh Kesuma Wardhani, Rifqi Adjie Febriyanto, Nenny Anggraini","doi":"10.1109/CITSM56380.2022.9935888","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935888","url":null,"abstract":"As a highly diverse cyber-physical system, Wireless Sensor Network (WSN) is vulnerable to various failures, which can have catastrophic consequences for safety, economy, and system dependability. Due to the various deployments and limitations of sensor resources, proper detection and diagnosis of failures or faults in WSNs is a complex problem. In this study, a supervised machine learning-based approach is used. To address this issue, the authors employ Random Under Sampling (RUS) sampling method, which is used to overcome class imbalance, and Extra-Tree (ET) classification algorithm to examine sensor behavior through data to find and diagnose problems. The performance of the proposed scheme is compared with advanced machine learning algorithms such as Support Vector Machine (SVM) and Random Forest (RF). The efficiency of the suggested scheme is compared based on the measuring parameters of Accuracy, Recall, Precision, F1-Score, and AUC-ROC Score. This study's results showed that the Random Under Sampling (RUS) sampling method could negatively and positively impact the performance of machine learning models generated to predict WSN data faults. Such as the performance results of one of the classification algorithms used, Support Vector Machine (SVM), the performance of the resulting model on the Accuracy measurement parameter has a value range between 0.29 to 0.83, depending on the model parameters used. In comparison, the Extra- Tree algorithm generates the best model performance on the Accuracy measurement parameter of 96% on all models with the model parameters used.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"72 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114037002","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

E-Government Application Service Quality Analysis Using E-Govqual Method and Importance Performance Analysis (IPA) 基于E-Govqual方法和重要性绩效分析(IPA)的电子政务应用服务质量分析

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9936005

N. Hidayah, Nuryasin, Oviani Viandari

{"title":"E-Government Application Service Quality Analysis Using E-Govqual Method and Importance Performance Analysis (IPA)","authors":"N. Hidayah, Nuryasin, Oviani Viandari","doi":"10.1109/CITSM56380.2022.9936005","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9936005","url":null,"abstract":"Application Depok Single Window (DSW) is a combination of various application portal of public services in Depok. To improve the quality of mobile - based e-Government services provided by the Depok City Government to the community, periodic evaluations are needed. But in reality, the Depok City Communication and Information Office has not evaluated the e-Government application service on the DSW application based on the perceptions and expectations of its users, so the application is still experiencing several obstacles, such as problems with the DSW application. Experienced a decrease in users every month which caused at least 0.5% of users of the DSW application from the total population of Depok City. Seeing the problems that exist in the service quality of DSW applications, therefore research is needed. This study aims to determine the quality of service in the DSW application based on user perceptions and expectations, and to obtain suggestions for factors that are the main priority for improvement. The model used in this study is the E-Government Service Quality (e-GovQual) model by adding two variables, namely: User Satisfaction (USAT) and Intent to Reuse (USE). This research uses a quantitative approach, and the data analysis process is carried out with IBM Statistics SPSS version 24 for Importance Performance Analysis (IPA), then SmartPLS version 3.2.9 is also used for analysis of the outer and inner models with the PLS-SEM approach. As a result, all indicators used have a negative gap value with the largest value on the Intention to Use variable with an average r value of −0.64. The factors that become the main priority for improvement are the efficiency (EFI) and Citizen Support (CS4) variables, namely: managers are responsive to user problems, managers have adequate knowledge to answer public questions, managers have the ability to deliver services with trust and confidence and information about adequate service.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129620584","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

Sentiment Analysis on Twitter towards the Ratification of a Bill on the Elimination of Sexual Violence in Indonesia using Machine Learning Twitter上对印尼通过机器学习消除性暴力法案的情绪分析

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935863

S. Masruroh, Devi Zenvita Andriana Utami, D. Khairani, M. Azhari, M. Helmi, Rizka Amalia Putri

{"title":"Sentiment Analysis on Twitter towards the Ratification of a Bill on the Elimination of Sexual Violence in Indonesia using Machine Learning","authors":"S. Masruroh, Devi Zenvita Andriana Utami, D. Khairani, M. Azhari, M. Helmi, Rizka Amalia Putri","doi":"10.1109/CITSM56380.2022.9935863","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935863","url":null,"abstract":"In Indonesia, incidents of violence against women have developed into a problem that needs attention. The National Commission for Women has recorded an increase in cases of violence during 2019 which was 6 percent compared to the previous year. The number of increases is a concern for the government in designing a countermeasure and prevention action. In 2014, the National Commission on Women initiated the A bill Law on the Elimination of Sexual Violence to follow up on acts of sexual violence in Indonesia. The ratification of a Bill on the Elimination of Sexual Violence is important to suppress cases of sexual violence. The pros and cons that arise regarding that are found in various media, including social media, namely Twitter as a forum for the community in freedom of expression to make a bill until now it has not been ratified. Comments in the form of tweets become a representation of sentiment that can be seen by the public, both positive and negative. This can affect a policy that is made whether it is feasible to apply or not. So that sentiment from the public can be analyzed properly, this study will examine sentiment analysis on Twitter regarding a Bill on the Elimination of Sexual Violence in Indonesia by applying Natural Language Processing (NLP), using the Support Vector Machine (SVM), and Naïve Bayes Classifier (NBC) algorithms with three different scenarios. The purpose of this study was to determine the algorithm with the best performance in classifying categories. From this research, the highest accuracy result for the test data is in scenario 3 with 97% using SVM and 94.50% using NBC. With these results, the model created can classify positive and negative categories in a document properly.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128701285","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

Implementation of Critical Path Method and What If Analysis in Project Management Information System 关键路径法在项目管理信息系统中的实施及What - If分析

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935912

Zulfiandri, Farah Dhia Yasmin, Rinda Hesti Kusumaningtyas

{"title":"Implementation of Critical Path Method and What If Analysis in Project Management Information System","authors":"Zulfiandri, Farah Dhia Yasmin, Rinda Hesti Kusumaningtyas","doi":"10.1109/CITSM56380.2022.9935912","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935912","url":null,"abstract":"Project management is the process of planning, im-plementing, monitoring and closing projects so that the project runs according to the target. One company that requires project management is PT. Triprima Karya which offers construction project consulting services. In the company there are problems, namely there are still delays in several projects which result in de-lays in project payments so that it can harm the company. The purpose of this research is to implement the critical path method and what if analysis to anticipate project delays at PT Triprima Karya. The methods used for delay analysis are Critical Path Method and What If Analysis. The results of the research are based on the critical path method, the critical path on the project is the Preliminary work (A), Preparatory work (B), Construction work (C), Mechanical and plumbing work (E), Electrical work (F), Power connection new electricity (H). And if activity A is delayed for 7 days, based on the results of what if analysis calculations, the activities that can be accelerated are Preparatory work (B) with an additional number of 5 workers and 8 hours, Construction work (C) with an additional 1 worker and 0, 9 hours, Mechanical and plumbing work (E) with an additional number of 1 worker and 1 hour, Electrical work (F) with an additional 1 worker and 1.1 hours New electrical power connection (H) with an additional number of 3 workers and 4 hours.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130052793","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

User Behavioral Intention to Use Stream Yard Application: The Role of Social Influence and Habit 用户使用流场应用程序的行为意向:社会影响和习惯的作用

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935934

A. Retnowardhani, A. Setyawan

{"title":"User Behavioral Intention to Use Stream Yard Application: The Role of Social Influence and Habit","authors":"A. Retnowardhani, A. Setyawan","doi":"10.1109/CITSM56380.2022.9935934","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935934","url":null,"abstract":"The rules for studying from home during the COVID-19 pandemic “forced” schools in Indonesia to conduct distance learning. The change from the face-to-face learning system to online learning has surprised schools, especially teachers. The school must quickly make a decision about the application that will be used as a distance learning tool. The decision to use the application is in the hands of the principal, but the success of using the application depends on the acceptance and use of each individual as a user. One of support application for distance learning is Streamyard. This study trying to determine the user behavioral on the use Streamyard application. The success of using the application, among others, is based on its user behavior. Using the modified UTAUT2 model, this study will analyse the factors that influence the user behavioral intention of the Streamyard application by 40 teachers at Canisius Junior High School Jakarta as case study. The research was conducted by distributing questionnaires with the four Linkert scales. Five variables to be tested are performance expectancy, effort expectancy, social influence, facilitating conditions, habit, behavioral intention, and use behavior, with the moderating variable age. The results of data processing using the SmartPLS3.0 application show that users' behavior is not influenced by their behavioral intention to continue using the Streamyard application. Social influence and habit significantly influence behavioral intention, while age positively moderates habit on behavioral intention.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134139637","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

Assessing The Effect of Gamification on Holistic Work Engagement of Millennial Workers 评估游戏化对千禧一代员工整体工作投入的影响

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935840

Nopriadi Saputra, Eka Maya Sari Siswi Ciptaningsih

引用次数: 0

Implementation of Data Science Algorithm for Monthly Inflation Prediction Based on Financial Technology Awareness Levels 基于金融技术认知水平的月度通货膨胀预测数据科学算法实现

2022 10th International Conference on Cyber and IT Service Management (CITSM) Pub Date : 2022-09-20 DOI: 10.1109/CITSM56380.2022.9935930

Rizqi Prima Hariadhy, Alif Shofa Danutirta, M. Lubis

{"title":"Implementation of Data Science Algorithm for Monthly Inflation Prediction Based on Financial Technology Awareness Levels","authors":"Rizqi Prima Hariadhy, Alif Shofa Danutirta, M. Lubis","doi":"10.1109/CITSM56380.2022.9935930","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935930","url":null,"abstract":"Digital technology has been implemented into various sectors in Indonesia, such as the education, health, tourism sectors, and one of the most important is in the financial sector. Along with the continued development of technology in the financial sector, it will surely have a good affect to economic development. Along with the development of technology in the financial sector, it will surely have a good affect to economic development. Google trends is one of the open-source tools that can represent what keywords are most often searched by the public. In this study, author conducted research related to the relationship between the development of digital technology in the financial sector and economic development using one of the indicators, namely the inflation rate. The analysis that has been conduct use several data science algorithms and inform algorithm that has the best performance, namely Lasso Regression with MAPE value of 0.16 or 16% which means it can be interpreted as Good Forecasting. And the worst algorithm is Linear Regression with a MAPE value of 0.57 or 57%, which means it can be interpreted as Inaccurate Forecasting.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131507297","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