S. N. S. Yasin, H. A. M. A. Majid, Siti Nurul Hayatie Ishak, S. S. Hamzah, U. F. Bahrin, Rajeswari Raju
{"title":"A Systematic Literature Review of Virtual Reality Utilization in Tourism During COVID-19 Pandemic","authors":"S. N. S. Yasin, H. A. M. A. Majid, Siti Nurul Hayatie Ishak, S. S. Hamzah, U. F. Bahrin, Rajeswari Raju","doi":"10.1109/IVIT55443.2022.10033324","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033324","url":null,"abstract":"Virtual reality (VR) is an innovation that is increasingly applied in many fields of study. Although VR is adapted in most of simulation works like aviation, cargo movement, surgery, and phobia therapy, the application in tourism has different intention compared to other contexts, which is for promotion purpose. Therefore, this study provides a systematic literature review of how VR has been applied to help promoting tourism industry during the pandemic of COVID-19, when most people in the world are restricted from traveling, and ordered to stay at home. A research question that would address application of VR in tourism is identified. A comprehensive literature search has been carried out resulting 87 journals and proceeding papers are filtered. Data extraction and synthesize is performed on the selected studies based on the research question. From the SLR process, we have found that VR is utilised in tourism for promotion purposes, and to evaluate the attitude and emotion of users towards the application of VR in virtual tourism during the pandemic. Our result suggests that tourism industry players need to pay more attention and widen the intention in utilizing VR in the future to confirm the sustainability of tourism industry.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128690798","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}
Nurul Natasha Awinda Mohammad Nizam, Y. H. Yahaya, M. Amran, Siti Rohaidah Ahmad, N. M. M. Yusop, N. Razali
{"title":"Benefits and Limitations of Neuromarketing Techniques in Enhancing Marketing Strategies","authors":"Nurul Natasha Awinda Mohammad Nizam, Y. H. Yahaya, M. Amran, Siti Rohaidah Ahmad, N. M. M. Yusop, N. Razali","doi":"10.1109/IVIT55443.2022.10033407","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033407","url":null,"abstract":"Neuromarketing study is a combination between neuroscience and marketing studies. it is done to get better understanding on consumer behaviors while making purchases. Since the advent of Covid-19 or also known as Coronavirus, eCommerce platforms are widely used by the consumers to purchase goods and services. Various techniques can be used to obtained the brain signals to observe consumers’ emotions. There are two types of neuromarketing approaches which are neuroimaging and non-neuroimaging techniques. The neuroimaging techniques are frequently used by the researchers to study neuromarketing as the results obtained are based on the consumers’ brainwaves and is not biased to any goods or services such the results from surveys, interviews, or other traditional marketing strategies. So, this describes review on previous research which use the neuroimaging techniques to study neuromarketing, especially using electroencephalogram (EEG).","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130465632","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}
{"title":"Personalised Geriatric Health Monitoring: The Need for Process Mining Approach","authors":"S. Ismail","doi":"10.1109/IVIT55443.2022.10033359","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033359","url":null,"abstract":"It is common for an elder person to live alone in today’s environment, away from family care, especially during the movement control order due to the COVID-19 pandemic since 2020. This has brought to the concern of this study to justify the need for personalised geriatric health monitoring that adopts the process mining approach. Constant monitoring is deemed required in order to reduce the risk of sudden illness among the elders, as well as to reduce the need to be treated at the hospital when the capacity could be limited during critical time. As part of the findings, this paper presents the process flow of data capture on one of the four vital signs, showing the significance of time, frequency and duration in reading the data for further analysis to understand the pattern in health monitoring. The importance of process mining approach is amplified in terms of the context of time in health monitoring, and the context of personalisation due to the veracity across ageing population. This paper proposes the concept of health monitoring process model, which is produced by collectively analysing the process models of the vital signs.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"43 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120816246","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}
{"title":"Implementation of Intelligent Chatbot in Student Portal: A Systematic Literature Review","authors":"Eka Wahyu Aditya, S. Ismail, Noormadinah Allias","doi":"10.1109/IVIT55443.2022.10033367","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033367","url":null,"abstract":"The student portal gives users access to the channels of information and resources that they require for their academic pursuits. This includes access to the library services, information about their courses, and academic-related materials. On the other hand, this progress is not without its problems, as most of these services have a finite lifespan while the team still supports them. The student portal should build an artificial intelligence (AI) agent, like a chatbot, to provide 24/7 support for its users. This Chatbot must have a straight-forward user interface or GUI with excellent efficiency; hence it must be a simple system that users with minimal technical understanding can operate. It is intended that by acting as a customer support representative, a chatbot can enhance the user experience on student portal. This paper presents the findings from systematic literature review on previous works of intelligent chatbot implementation in student portal. Out of six main journal search engines and 100 articles found related to this study, only 21 articles are taken into consideration for further analysis. The results from existing studies on chatbot are tagged to nine categories based on content, and the findings are elaborated in terms of the implementation challenges of chatbot for student portal.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126475728","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}
Amalia Mukhlas, Bazilah A. Talip, Jawahir Che Mustapha, S. Ismail
{"title":"Industry 4.0 (IR 4.0) for Pharmaceutical Industry: An Exploratory Review","authors":"Amalia Mukhlas, Bazilah A. Talip, Jawahir Che Mustapha, S. Ismail","doi":"10.1109/IVIT55443.2022.10033386","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033386","url":null,"abstract":"The pharmaceutical industry facing challenges despite digital transformation applying for the benefit of the industry. The companies and the industrial process need to be ready and adapt to the rapid changes or else be left behind by the competitors. The study provides a preliminary understanding of IR 4.0 within the pharmaceutical industry domain. The findings highlight the discussion of IR 4.0 technology in the pharmaceutical industry and the areas in the technology in which the technology has been applied. The research recommends the IR 4.0 technology practices in the operation and process, the elements of technology in the areas, challenges of technology implementation, relatable concepts and theories facilitating the future study.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123888414","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}
Sarah Yusoff, Nur Hidayah Md Noh, Norulhidayah Isa, S. M. Nor-Al-Din
{"title":"Knowledge and Skill Sets for Big Data Profession: Assessing Student's Quality using Exploratory Factor Analysis","authors":"Sarah Yusoff, Nur Hidayah Md Noh, Norulhidayah Isa, S. M. Nor-Al-Din","doi":"10.1109/IVIT55443.2022.10033399","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033399","url":null,"abstract":"Recently, several higher education institutions in Malaysia announced discontinuing some courses to ensure employability post-graduation. Finding a job that fits their qualifications is a hurdle that graduates frequently face. The International Labor Organization states that when the education and training system does not deliver the skills the labour market needs, there is a mismatch between skills and jobs. This paper presents research on big data analytics knowledge and skills acquired by students throughout their studies. A sample of 185 UiTM students from various campuses participated. These students were among those who had formally taken big data courses during their studies. Data analysis was done using exploratory factor analysis (EFA) to identify the knowledge and skills obtained. Those are important to UiTM students' preparedness for the big data profession. From the exploratory factor analysis, 26 of the 40 items are included in the six constructs with factor loadings above 0.60: teamwork, student awareness and university readiness, programming language, student's effort, data storytelling and visualization, and data organization. These factors align with the finding made by [26], which identified the key competencies the employer needs for big data professions. In conclusion, higher education institutions need to focus on these skills in improving the existing program to meet better market demand and satisfy employer expectations since the score of factor loadings obtained are just satisfactory.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465011","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}
{"title":"A systematic literature review of gamification decision-making for online grocery shopping","authors":"Qiuwen Tong, H. Abas, Noraimi Bin Shafie","doi":"10.1109/IVIT55443.2022.10033390","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033390","url":null,"abstract":"Gamification has been identified as an effective user decision-making strategy capable of improving online user experience and platform participation. Consumer gamification behavior and decision-making process research have recently become an important research topic. Despite growing scientific interest in explaining how gamification promotes behavior and motivation, there is still a lack of a comprehensive review of the systematic literature on the gamification decision-making model, which is fragmented. This systematic review identifies, analyzes, and categorizes studies published between 2013 and 2022. The most critical research contributions are discussed, based on 51 journal articles, reports, and marketing books, highlighting the main trends over the years as well as applied research methods. Finally, future research directions are identified.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810229","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}
Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong
{"title":"Malaysian Banknotes Counterfeit Detection Algorithm for Fifty Ringgit and One-hundred Ringgit","authors":"Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong","doi":"10.1109/IVIT55443.2022.10033404","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033404","url":null,"abstract":"With the advent of high-definition color printing technology, the counterfeiting of Ringgit has become a formidable obstacle. Therefore, image processing techniques based on watermarks are vital for detecting counterfeit Ringgit. The fifty Ringgit and one hundred Ringgit counterfeit detection algorithms proposed in this work use fuzzy logic and Ultraviolet image processing techniques. The algorithm will first determine the inserted banknote’s currency values, perform banknote position detection and re-adjustment, locate Ultraviolet watermarks (Rectangle Text \"BNM50\" or \"BNM100\", Logo \"Stag Motif\", and Security Fibers) and then employ fuzzy IF-THEN conditional statements to infer and decide whether the slotted in banknote is a real fifty Ringgit, a real one hundred Ringgit, or neither.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751856","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}
{"title":"Application and study of Neo-Pop Art in art toys: Monkey King","authors":"Qi Wang, Kin Meng Cheng","doi":"10.1109/IVIT55443.2022.10033405","DOIUrl":"https://doi.org/10.1109/IVIT55443.2022.10033405","url":null,"abstract":"This Master's research project explored how the Chinese mythological character, the Monkey King, can be used to design art toys in a Neo-Pop Art style. China is rich in traditional culture; however, as the times have changed, young people in China have lost interest in the traditional culture. As a derivative of Neo-Pop Art, art toys have become a new creative medium for artists to communicate more directly with the public. However, the art toy market in China is currently mostly 'imported IP', while there is little academic criticism of Neo-Pop Art and art toys, and no research summarising the characteristics of Neo-Pop Art toys; therefore, the significance of this study is to fill the gap in academic research on Neo-Pop Art toys and the lack of local IP in the Chinese art toy market. The researcher adopted a qualitative research approach, interviewing 12 art toy enthusiasts. The study summarised the characteristics of Neo-Pop Art toys. Secondly, the study also verified that the Monkey King art toys had a positive impact on the promotion of traditional Chinese culture, which provides the necessary support for developing original art toy brands and local IPs in China.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896505","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}