Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935924
Tjioe Dielvi Kristianto, Y. Kusumawati, Elizabeth Paskahlia Gunawan
Creative block is a period when the creative worker cannot conduct their creative idea, this problem is one of the most creative workers including digital artists commonly face. Creative block can affect creative workers productivity if not being handled, not only affect creative workers especially digital artist productivity, if prolonged this issue can cause stress and depression. Every creative worker especially digital artist has their own way to solve this issue, but their solution does not always work. There are several ways trying to solve this problem, but the truth is to solve creative blocks there are needed creative workers' contributions like motivation, spirit, mood, and appreciation. By using design thinking methods, this research aims to propose user interface of website to support the digital artist deal with creative block. Artspo have features wherein the web, artist can communicate, give appreciation, motivation, and support each other. This web will also recommend some challenges and keep giving motivation to the artist. Hopefully this web can developed further in order to improve creativity.
{"title":"Artspo: Website Design to Improve Digital Artist Creativity","authors":"Tjioe Dielvi Kristianto, Y. Kusumawati, Elizabeth Paskahlia Gunawan","doi":"10.1109/CITSM56380.2022.9935924","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935924","url":null,"abstract":"Creative block is a period when the creative worker cannot conduct their creative idea, this problem is one of the most creative workers including digital artists commonly face. Creative block can affect creative workers productivity if not being handled, not only affect creative workers especially digital artist productivity, if prolonged this issue can cause stress and depression. Every creative worker especially digital artist has their own way to solve this issue, but their solution does not always work. There are several ways trying to solve this problem, but the truth is to solve creative blocks there are needed creative workers' contributions like motivation, spirit, mood, and appreciation. By using design thinking methods, this research aims to propose user interface of website to support the digital artist deal with creative block. Artspo have features wherein the web, artist can communicate, give appreciation, motivation, and support each other. This web will also recommend some challenges and keep giving motivation to the artist. Hopefully this web can developed further in order to improve creativity.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"1 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":"126394461","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935946
Lestari Arsivanti, Vita. Michelle
Source Credibility Online is an important factor in increasing someone's buying interest. Along with technological development, especially in the field of e-commerce as electronic business, making people can easily find information about a product. The purpose of this study is to find out how the influence of source credibility in purchase intention Shopee platform and the factors that will scale up the interest buying. Quantitative method used in this research with survey to gather all the data. Data collection carried out by distributing questionnaires to 400 respondents from Shopee Indonesia e-commerce platform. In brief for the results, it can be concluded that source credibility has a significant influence on purchase intention in Shopee platform with the results of the correlation coefficient of 61.7 percent and got some factors influencing on buying interest.
{"title":"Source Credibility Online in E-Commerce Platform: The Factors Influencing Consumer's Purchase Intention on Millenial Jakarta Female","authors":"Lestari Arsivanti, Vita. Michelle","doi":"10.1109/CITSM56380.2022.9935946","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935946","url":null,"abstract":"Source Credibility Online is an important factor in increasing someone's buying interest. Along with technological development, especially in the field of e-commerce as electronic business, making people can easily find information about a product. The purpose of this study is to find out how the influence of source credibility in purchase intention Shopee platform and the factors that will scale up the interest buying. Quantitative method used in this research with survey to gather all the data. Data collection carried out by distributing questionnaires to 400 respondents from Shopee Indonesia e-commerce platform. In brief for the results, it can be concluded that source credibility has a significant influence on purchase intention in Shopee platform with the results of the correlation coefficient of 61.7 percent and got some factors influencing on buying interest.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"19 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":"126462454","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935931
R. Ikhsan, Cyntia Lupita Sari, Erick Fernando, L. Wijaya, Stephanie Bangapadang, Ivan Sangkereng
The rapid adoption of e-wallets by the community indicates that this payment system is well received. Of course, this condition cannot be separated from trust and consumer lifestyle. This study examines lifestyle compatibility, trust, and attitudes on customer behavioral intention. Data collection uses an online questionnaire distributed to 336 e-wallet users through social media. Then, the data were analyzed using a covariant-based structural equation modeling method (CB-SEM) with Lisrel 8.7. As a result, lifestyle compatibility significantly affects attitudes and behavioral intentions. Trust has a significant effect on attitudes and behavioral intentions. Lastly, attitude influences behavioral intention to use the e-wallet. Practically, this research contributes to e-wallet companies in understanding how consumers adopt e-wallets.
{"title":"The Rapid Adoption of E-wallet: An empirical study","authors":"R. Ikhsan, Cyntia Lupita Sari, Erick Fernando, L. Wijaya, Stephanie Bangapadang, Ivan Sangkereng","doi":"10.1109/CITSM56380.2022.9935931","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935931","url":null,"abstract":"The rapid adoption of e-wallets by the community indicates that this payment system is well received. Of course, this condition cannot be separated from trust and consumer lifestyle. This study examines lifestyle compatibility, trust, and attitudes on customer behavioral intention. Data collection uses an online questionnaire distributed to 336 e-wallet users through social media. Then, the data were analyzed using a covariant-based structural equation modeling method (CB-SEM) with Lisrel 8.7. As a result, lifestyle compatibility significantly affects attitudes and behavioral intentions. Trust has a significant effect on attitudes and behavioral intentions. Lastly, attitude influences behavioral intention to use the e-wallet. Practically, this research contributes to e-wallet companies in understanding how consumers adopt e-wallets.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"9 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":"125908522","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935866
Farhad Hossain, H. Yaacob
Neurofeedback (NF) is a scientific method that alters the brain states to improve mental disorders. Neurofeedback can perform through Brain-Computer Interface (BCI) which involves hardware, and software to communicate with the outside environment using the brain's thoughts. Coronavirus disease (COVID-19) has shown a substantial influence on mental health symptoms because individuals are working from home (WFH). However, A brain condition known as Mental Fatigue (MF) is induced by continuous cognitive work and lowers mental attentiveness as well as negatively affects performance. There are different approaches to address different mental states and Neurofeedback strategies to change mental states. Thus, Neurofeedback can be an Intervention technique to reduce mental fatigue and improve cognitive task performance. Furthermore, it is proven by researchers that Machine Learning Technique can successfully detect Mental Fatigue through electroencephalography (EEG). Currently, there is no BCI that integrated Mental Fatigue detection and applies Neurofeedback strategies to reduce Mental Fatigue. This review identified a neurofeedback process that includes signal acquisition, signal pre-processing, feature extraction, classification and generation of feedback signals. This review aims to develop a general architecture of mental fatigue intervention through BCI.
{"title":"Review on Signal Generation for Neurofeedback","authors":"Farhad Hossain, H. Yaacob","doi":"10.1109/CITSM56380.2022.9935866","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935866","url":null,"abstract":"Neurofeedback (NF) is a scientific method that alters the brain states to improve mental disorders. Neurofeedback can perform through Brain-Computer Interface (BCI) which involves hardware, and software to communicate with the outside environment using the brain's thoughts. Coronavirus disease (COVID-19) has shown a substantial influence on mental health symptoms because individuals are working from home (WFH). However, A brain condition known as Mental Fatigue (MF) is induced by continuous cognitive work and lowers mental attentiveness as well as negatively affects performance. There are different approaches to address different mental states and Neurofeedback strategies to change mental states. Thus, Neurofeedback can be an Intervention technique to reduce mental fatigue and improve cognitive task performance. Furthermore, it is proven by researchers that Machine Learning Technique can successfully detect Mental Fatigue through electroencephalography (EEG). Currently, there is no BCI that integrated Mental Fatigue detection and applies Neurofeedback strategies to reduce Mental Fatigue. This review identified a neurofeedback process that includes signal acquisition, signal pre-processing, feature extraction, classification and generation of feedback signals. This review aims to develop a general architecture of mental fatigue intervention through BCI.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"14 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":"125802387","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935862
D. Yuniarto, A'ang. Subiyakto, E. Firmansyah, Irfan Fadil, A. Sani, Mohamad Irfan
The policy of requiring Higher Educations to use Information Systems for Alumni Tracking has become a major dilemma. Problems and gaps arise in the application, including for Private Higher Education Institutions, so it is necessary to conduct research on the successful use of Tracer Study Information Systems in Private Higher Educations Institutions. The purpose of this study is to determine the success of using Tracer Study Information Systems and what factors influence the use of Tracer Study Information Systems at Private Higher Education Institutions. The researcher did it at one of the Private Higher Education Institutions, where the Leaders, Structural Officers, and Head of Study Programs at the Rectorate and Faculties became the Respondents in this research. There were 99 active respondents who filled out and returned the questionnaire. The results obtained after data processing is that the Tracer Study Information Systems still cannot provide good service in providing solutions when there are problems that occur in the medium category. The recommendation, the researcher suggests to minimize errors that appear on the system. Because it can make users trust. In addition, it must be acknowledged that the Tracer Study Information Systems developers are still developing and perfecting it, perhaps it is recommended to add the Help menu, as a guide to the use of Tracer Study Information Systems. The contribution of this research is to provide input to Private Higher Education Institution in the use of Tracer Study Information Systems, so that the policies taken will be appropriately applied, and provide an overview of the application of the Success model to the Tracer Study IS object at Private Higher Education Institution for the improvement of future research by other researchers, so that it becomes improvement material for the Success model.
{"title":"Tracer Study Information Systems Success in Private Higher Education Institution","authors":"D. Yuniarto, A'ang. Subiyakto, E. Firmansyah, Irfan Fadil, A. Sani, Mohamad Irfan","doi":"10.1109/CITSM56380.2022.9935862","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935862","url":null,"abstract":"The policy of requiring Higher Educations to use Information Systems for Alumni Tracking has become a major dilemma. Problems and gaps arise in the application, including for Private Higher Education Institutions, so it is necessary to conduct research on the successful use of Tracer Study Information Systems in Private Higher Educations Institutions. The purpose of this study is to determine the success of using Tracer Study Information Systems and what factors influence the use of Tracer Study Information Systems at Private Higher Education Institutions. The researcher did it at one of the Private Higher Education Institutions, where the Leaders, Structural Officers, and Head of Study Programs at the Rectorate and Faculties became the Respondents in this research. There were 99 active respondents who filled out and returned the questionnaire. The results obtained after data processing is that the Tracer Study Information Systems still cannot provide good service in providing solutions when there are problems that occur in the medium category. The recommendation, the researcher suggests to minimize errors that appear on the system. Because it can make users trust. In addition, it must be acknowledged that the Tracer Study Information Systems developers are still developing and perfecting it, perhaps it is recommended to add the Help menu, as a guide to the use of Tracer Study Information Systems. The contribution of this research is to provide input to Private Higher Education Institution in the use of Tracer Study Information Systems, so that the policies taken will be appropriately applied, and provide an overview of the application of the Success model to the Tracer Study IS object at Private Higher Education Institution for the improvement of future research by other researchers, so that it becomes improvement material for the Success model.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"4 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":"125884081","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935836
Doni Iksan Widodo, A. Hartono, Elvan Yuniarti
The development of integrated end-to-end technology is increasingly reaching all fields. The presence of this technology can answer one of the challenges discussed in this study, namely as a recommendation feature to users on indoor air quality and useful as an effort to prevent respiratory disease symptoms. This device is specially designed by implementing several technologies such as microcontrollers, sensors, internet of things, cloud computing, and progressive web apps. The parameters used to measure the level of indoor air quality are temperature, humidity, fine particles (PM10) and carbon monoxide with a predetermined range, if these parameters are outside the range then it is categorized as poor or unhealthy air, otherwise if the parameters are within range, the air is categorized as good or healthy air. Based on the collection and processing of data samples at several different locations, the air is in the good or healthy category and does not cause symptoms of respiratory disease. The results of this study also produced an end-to-end device that can monitor indoor air quality levels in real-time, as well as provide recommendations for making health efforts if the detected air quality parameters are outside the range that has been determined based on the Ministry of Health regulations Republic of Indonesia.
{"title":"Design and Build End-to-End Device as User Recommendations for Indoor Air Quality Monitoring","authors":"Doni Iksan Widodo, A. Hartono, Elvan Yuniarti","doi":"10.1109/CITSM56380.2022.9935836","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935836","url":null,"abstract":"The development of integrated end-to-end technology is increasingly reaching all fields. The presence of this technology can answer one of the challenges discussed in this study, namely as a recommendation feature to users on indoor air quality and useful as an effort to prevent respiratory disease symptoms. This device is specially designed by implementing several technologies such as microcontrollers, sensors, internet of things, cloud computing, and progressive web apps. The parameters used to measure the level of indoor air quality are temperature, humidity, fine particles (PM10) and carbon monoxide with a predetermined range, if these parameters are outside the range then it is categorized as poor or unhealthy air, otherwise if the parameters are within range, the air is categorized as good or healthy air. Based on the collection and processing of data samples at several different locations, the air is in the good or healthy category and does not cause symptoms of respiratory disease. The results of this study also produced an end-to-end device that can monitor indoor air quality levels in real-time, as well as provide recommendations for making health efforts if the detected air quality parameters are outside the range that has been determined based on the Ministry of Health regulations Republic of Indonesia.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"5 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":"131492502","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}
In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these community activities will produce waste. This waste should be processed according to the type of waste, but people often equate or collect the waste into a container before it goes into the trash or even throws the garbage into a ditch or river, causing garbage to accumulate in one place because it makes it difficult to sort waste or even waste it to cause flooding because it clogs the drainage channel leading to the river. The aim of the research is to calculate the accuracy of the Naïve Bayes algorithm in classifying waste classifiers. The design of this waste classifier using arduino aims to apply the naive Bayes algorithm in classifying organic, inorganic, and hazardous waste, the naive Bayes algorithm is an algorithm for classification with quite a bit of data training. This tool is designed using Arduino uno r3 with capacitive proximity sensor, $16mathrm{x}2$ lcd, and data table to look for opportunities or data training. From the results of the waste classification test carried out using this waste classifier, the application of the naive Bayes algorithm in the waste classification tool using Arduino got 28% accuracy in the first test, 57% in the second test, and 71% in the third test. With these results, the naive Bayes algorithm can function or work well for classifying waste in the design of a waste classifier using Arduino.
在人们的日常生活中，有许多事情发生，如工作，学校和商业买卖。在他们的活动中，社区使用他们需要的商品，后来这些社区活动会产生废物。这种垃圾应该按照垃圾的种类进行处理，但人们往往在垃圾进入垃圾桶之前就将垃圾等同或收集到一个容器中，甚至将垃圾扔进沟里或河里，造成垃圾在一个地方堆积，因为垃圾难以分类，甚至因为堵塞了通往河流的排水渠道而造成洪水。本研究的目的是计算Naïve贝叶斯算法对垃圾分类器进行分类的准确率。本垃圾分类器使用arduino进行设计，目的是将朴素贝叶斯算法应用于有机、无机和危险垃圾的分类，朴素贝叶斯算法是一种需要进行大量数据训练的分类算法。本工具是使用Arduino uno r3设计的，带有电容式接近传感器，$16 mathm {x}2$ lcd，以及数据表来寻找机会或数据训练。从使用该垃圾分类器进行的垃圾分类测试结果来看，朴素贝叶斯算法在使用Arduino的垃圾分类工具中的应用，第一次测试的准确率为28%，第二次测试的准确率为57%，第三次测试的准确率为71%。有了这些结果，朴素贝叶斯算法可以很好地用于使用Arduino设计的垃圾分类器中的垃圾分类。
{"title":"Waste Classifier using Naive Bayes Algorithm","authors":"Irfan Fadil, Muhammad Agreindra Helmiawan, Fidi Supriadi, Asep Saeppani, Yanyan Sofiyan, Agun Guntara","doi":"10.1109/CITSM56380.2022.9935894","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935894","url":null,"abstract":"In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these community activities will produce waste. This waste should be processed according to the type of waste, but people often equate or collect the waste into a container before it goes into the trash or even throws the garbage into a ditch or river, causing garbage to accumulate in one place because it makes it difficult to sort waste or even waste it to cause flooding because it clogs the drainage channel leading to the river. The aim of the research is to calculate the accuracy of the Naïve Bayes algorithm in classifying waste classifiers. The design of this waste classifier using arduino aims to apply the naive Bayes algorithm in classifying organic, inorganic, and hazardous waste, the naive Bayes algorithm is an algorithm for classification with quite a bit of data training. This tool is designed using Arduino uno r3 with capacitive proximity sensor, $16mathrm{x}2$ lcd, and data table to look for opportunities or data training. From the results of the waste classification test carried out using this waste classifier, the application of the naive Bayes algorithm in the waste classification tool using Arduino got 28% accuracy in the first test, 57% in the second test, and 71% in the third test. With these results, the naive Bayes algorithm can function or work well for classifying waste in the design of a waste classifier using Arduino.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"44 5 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":"132897136","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}
Pub Date : 2022-09-20DOI: 10.1109/citsm56380.2022.9935959
{"title":"THE COMMITTEE OF CITSM 2022","authors":"","doi":"10.1109/citsm56380.2022.9935959","DOIUrl":"https://doi.org/10.1109/citsm56380.2022.9935959","url":null,"abstract":"","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"1 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":"129505988","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935953
A. T. Muharram, H. Maulana, Noorlela Marcheta, Iik Muhamad Malik Matin, Alyani Zhafarina, Iga Yusdisti
The selection of private teachers in an educational institution is a difficult problem because the process of selecting private teachers and collecting private teacher data is still using the manual method so that, it takes a very long time. For this reason, we need a system that can support the recruiter's decision in selecting new employees. This study proposes a Decision Support System for selecting private teachers using the Simple Additive Weighting algorithm. The criteria set in this system consist of price (C1), distance (C2), experience (C3), ability (C4), patience (C5), age (C6), and gender (C7). The results show that alternative A3 is the best alternative compared to the other four alternatives.
{"title":"Decision Support System for Private Teacher Selection Optimation using Simple Additive Weighting Algorithm","authors":"A. T. Muharram, H. Maulana, Noorlela Marcheta, Iik Muhamad Malik Matin, Alyani Zhafarina, Iga Yusdisti","doi":"10.1109/CITSM56380.2022.9935953","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935953","url":null,"abstract":"The selection of private teachers in an educational institution is a difficult problem because the process of selecting private teachers and collecting private teacher data is still using the manual method so that, it takes a very long time. For this reason, we need a system that can support the recruiter's decision in selecting new employees. This study proposes a Decision Support System for selecting private teachers using the Simple Additive Weighting algorithm. The criteria set in this system consist of price (C1), distance (C2), experience (C3), ability (C4), patience (C5), age (C6), and gender (C7). The results show that alternative A3 is the best alternative compared to the other four alternatives.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"13 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":"132345216","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}
Pub Date : 2022-09-20DOI: 10.1109/CITSM56380.2022.9935999
Shafiullah Wasiq, M. Othman, Zainatul Shima Abdullah
In recent decades advances in technology have changed the banking industry. The advancement of e-commerce and e-society is dependent on electronic banking, particularly internet banking. This rapid advancement of computer technology, especially the internet, has enabled the banking industry to provide services to customers more efficiently and efficiently. However, the main problem of Internet banking faced by internet banking providers in Afghanistan is that many of the banks' customers are unwilling to adopt the Internet banking services offered. This happened due to various factors. This can be because of customers' personal experiences, awareness, level of internet access, and diverse socio-cultural backgrounds. Therefore, this research aims to identify the factors that affect customers' adoption of internet banking in Afghanistan. In this study, the factors which can influence customer adoption of Internet banking include perceived usefulness, perceived ease of use, attitude, and intention. In this study, a survey questionnaire was distributed among 184 Afghan participants and provided valuable feedback and responses about the above factors that affect customers' adoption of Internet banking. The results from this study indicated that among the studied variables, perceived usefulness, ease of use, attitude, and intention were closely linked to internet banking adoption in Afghanistan. The results of the present study may provide valuable practical implications for banks and financial industries. It also helps banks to understand the significant factors in providing efficient internet banking services to the Afghan community.
{"title":"Factors Affecting Customers' Adoption of Internet Banking in Afghanistan","authors":"Shafiullah Wasiq, M. Othman, Zainatul Shima Abdullah","doi":"10.1109/CITSM56380.2022.9935999","DOIUrl":"https://doi.org/10.1109/CITSM56380.2022.9935999","url":null,"abstract":"In recent decades advances in technology have changed the banking industry. The advancement of e-commerce and e-society is dependent on electronic banking, particularly internet banking. This rapid advancement of computer technology, especially the internet, has enabled the banking industry to provide services to customers more efficiently and efficiently. However, the main problem of Internet banking faced by internet banking providers in Afghanistan is that many of the banks' customers are unwilling to adopt the Internet banking services offered. This happened due to various factors. This can be because of customers' personal experiences, awareness, level of internet access, and diverse socio-cultural backgrounds. Therefore, this research aims to identify the factors that affect customers' adoption of internet banking in Afghanistan. In this study, the factors which can influence customer adoption of Internet banking include perceived usefulness, perceived ease of use, attitude, and intention. In this study, a survey questionnaire was distributed among 184 Afghan participants and provided valuable feedback and responses about the above factors that affect customers' adoption of Internet banking. The results from this study indicated that among the studied variables, perceived usefulness, ease of use, attitude, and intention were closely linked to internet banking adoption in Afghanistan. The results of the present study may provide valuable practical implications for banks and financial industries. It also helps banks to understand the significant factors in providing efficient internet banking services to the Afghan community.","PeriodicalId":342813,"journal":{"name":"2022 10th International Conference on Cyber and IT Service Management (CITSM)","volume":"37 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":"123669620","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：