2022 International Seminar on Application for Technology of Information and Communication (iSemantic)最新文献

{"title":"Student Graduation Prediction Model using Deep Learning Convolutional Neural Network (CNN)","authors":"A. Salam, Junta Zeniarja, Dhevan Muhamad Anthareza","doi":"10.1109/iSemantic55962.2022.9920449","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920449","url":null,"abstract":"Students are the most important part of a university's life cycle. When compared to the number of students obtained in the same academic year, the number of students graduating from a university often has a small ratio. This low student graduation rate can be attributed to a variety of factors, including the abundance of student activities, as well as economic and other considerations. This necessitates the existence of a model that can determine whether or not a student will be able to graduate on time. Student graduation on time is one of the most important factors in determining a university. With the same ratio, the higher the level of new students at a university, the more students who graduate on time. If many students do not graduate on time from all registered students, the number of student data and academic data increases. As a result, the university's profile and reputation will suffer, potentially jeopardizing the university's accreditation value. To address this, we need a model that can predict student graduation and then be used to inform policy decisions. The goal of this research is to propose a Deep Learning classification model that uses the Convolutional Neural Network (CNN) algorithm to predict student graduation. The classification model with the CNN algorithm produced a high accuracy value of 87.44 %.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129853658","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":"Gaming Activities During the Covid-19 Pandemic Era: A Systematic Literature Review","authors":"H. Dinata, E. Suryani, Jerry Dwi Trijoyo Purnomo","doi":"10.1109/iSemantic55962.2022.9920407","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920407","url":null,"abstract":"The Covid-19 outbreak, which has been declared a pandemic since March 2020, has been causing problems worldwide. As a result, many countries have implemented lockdown policies to control the spread of the Covid-19 virus. In addition, time spent on gaming activity has increased by 52% since video game engagement was thought to be essential in improving players’ vitality, reducing psychological suffering, and helping combat stress. This literature review was conducted as a systematic literature review based on the 15 primary studies between 2020 and March 2022. Analysis of the selected primary studies revealed that the authors conducted studies of gaming activities in the Covid-19 pandemic era for four reasons: to determine the factors of play intention, factors of purchase intention, factors of gaming disorder, and to investigate the impact of the gaming activities itself. Physical health issues, family interactions, social interactions, fear of missing out, psychological distress, and time and location flexibility are the six determinants for people to continue to play video games. Meanwhile, the expectation of performance and effort were the factors that influenced purchase intention in mobile games. And from these determinant factors, it seemed that psychological distress and fear of missing out were the causes of someone experiencing a gaming disorder. As for the method employed, Structural Equation Modeling (SEM) was the most extensively used statistical tool in conducting quantitative research. Six of the eleven quantitative research in the primary studies utilized SEM, and the others employed other statistical tools. Although, in the selected primary studies, we also have four studies conducted qualitative research using interviews and open-ended surveys. Ten different countries were identified as the origin country of the respondents for the primary studies, with Finland and the United States as the most research object. However, we also found three studies that did not specifically mention the origin countries of the respondents.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130170069","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":"Integration of The Indonesian Cultural Heritage and Natural History Based on Digital Technology 4.0: A Conceptual Framework","authors":"Z. Hasibuan, A. Zainul Fanani, J. Jumanto","doi":"10.1109/iSemantic55962.2022.9920467","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920467","url":null,"abstract":"Culture and natural history are facet of life that reflect the characteristics of a country. Preservation and utilization of cultural wealth and natural history are very strategic for the sustainability of a nation. Until now, various problems and challenges have arisen, such as: the widespread distribution of information, the absence of a centralized database to accommodate the existing information, the difficulty of knowing the diversity of cultural and natural history in each region, culture and natural history has not been used as elements to build the nation's character, and the current cultural and natural history information has not been used for tourism development. The cultural wealth of the Indonesian people may be eroded and slowly become extinct, or other nations will claim that this is their cultural wealth. Although conservation efforts have been carried out by various museums, national and regional libraries, and groups of activists to preserve cultural wealth, there are still many limitations to integrating and linking them to one another. Therefore, this preservation requires a digital 4.0 technology framework to be able to integrate and at the same time take advantage of this cultural and natural wealth for the welfare of the Indonesian nation. The digital technology 4.0 framework for preserving the Indonesian nation's cultural and natural wealth will be developed using a Big Data approach from various data sources (data from various museums, documentation, publications, etc.) structured, semi-structured, and unstructured. Feature selection and feature extraction from Big Data will be carried out using Principle Components Analysis, Cluster Analysis. The feature extraction result is then used as the forerunner of the framework's components. The components of this framework form the basis for designing an integrated system for the preservation of cultural and natural history, and form the basis for developing and implementing a portfolio of applications using artificial intelligence, which is also the outcome of this research.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132439687","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":"Effects of Social Media Marketing in Cloud Kitchen Towards Online Platform in Indonesia","authors":"L. Sanny, Audrey Hamada, Adholphine Prameswari, A. Setiawan","doi":"10.1109/iSemantic55962.2022.9920470","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920470","url":null,"abstract":"This research intends to assess the influence of electronic word-of-mouth and social media marketing activity (e-WOM) via brand knowledge on consumers' desire to purchase food and drinks at Cloud Kitchen. The variables used in this study are new research in the field of the Cloud Kitchen platform. This study uses a quantitative method and uses online questionnaire as its instrument with 415 respondents who are aware of the concept of Cloud Kitchen but never used the online Cloud Kitchen platform, using Google Form. SEM PLS was 78used to process the questionnaire's findings. According to the study's findings, brand knowledge has a direct or indirect impact on consumers' desire to purchase food and drinks from the cloud kitchen via social media marketing efforts and e-WOM. So, using positive e-WOM and social media marketing, will create brand awareness that creates purchase intentions for products or brands that are incorporated in the Cloud Kitchen platform in Indonesia.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133760183","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":"iSemantic 2022 Cover Page","authors":"","doi":"10.1109/isemantic55962.2022.9920371","DOIUrl":"https://doi.org/10.1109/isemantic55962.2022.9920371","url":null,"abstract":"","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131844393","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":"IT Service Desk Model Literature Review: Benefits and Challenges","authors":"Ardhi Dwi Firmansyah, A. P. Subriadi","doi":"10.1109/iSemantic55962.2022.9920439","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920439","url":null,"abstract":"IT service desk is an important element in IT service management. As a single point of contact (SPOC), IT service desk receives incident and fulfill the requests. Many governments are still having difficulties in various areas, particularly during implementation. The management of incident reports and service requests in the government is only submitted directly to everyone, giving rise to multiple points of contact. Meanwhile, a standard or framework cannot be directly adopted but requires adjustments to the characteristics of the organization. Through this research, the challenges, and benefits of implementing IT service desk were identified. Literature review using SLR was carried out. A total of 40 articles from four well-known databases were selected for review. The results show that some of the benefits obtained from implementing the IT Service desk include significant improvement in process metrics, reduction in IT costing, better documentation, increased employee and customer satisfaction, reduction in staff, improvement of IT service quality, and internal communication efficiency. Meanwhile, the challenges include large investment required, organizational resistance, difficult planning to implement the existing framework, complexity of the framework, lack of internal management support, difficulty in measuring benefits, lack of knowledge/skills, process evaluation (expensive and time consuming), limited of resources, and gradual cost reduction.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130653771","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":"Factors Influencing Government Employees To Adopt E-Government Innovation: Systematic Literature Review","authors":"Yauma Miftah Puja Nugraha, Tony Dwi Susanto","doi":"10.1109/iSemantic55962.2022.9920391","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920391","url":null,"abstract":"Innovation is a constant theme of Government and reforming the government sector and transforming it into a digital public sector is efficient, effective, accountability, transparency, communication, access to stakeholder information, and it is necessary to improve the legitimacy of the social value creation process. E-government is a means by which existing processes need to be revisited and organizational behavior changed to provide public services more efficiently. E-government cannot succeed except civil servants appreciate and hire e-government. This study uses literature search methodologies to explore the factors that affect e-government innovations from a civil servant perspective. In this survey, the researcher proposes three main domains that influence civil servants in adopting e-government innovations, namely the Organizational dimension, Technological Dimension, and Individual Dimension, with each factor in it also This research produces a conceptual model that can be used in further research.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"19 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114136324","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":"Long Short-Term Memory Algorithm for Stock Price Prediction","authors":"Candra Irawan, E. H. Rachmawanto, C. A. Sari, A. Fahmi, Ifan Rizqa","doi":"10.1109/iSemantic55962.2022.9920374","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920374","url":null,"abstract":"Stock prices in the capital market fluctuate from time to time, many factors influence it. Investors need to do an accurate analysis to reduce the risk of investing, one of which is by predicting stock prices. The results of the predictions help investors to make decisions. The right decision requires accurate prediction results. So it is necessary to predict stock prices so that investors can understand investment prospects in the future. In this study, the LSTM algorithm will be used. The LSTM algorithm can extract information from long-term, time series or sequential data. The resulting MAPE value of 2.2% of these results is in the very good category because it is less than 10% and the resulting R2 of 0.974 is close to the value of 1. So that stock predictions using LSTM are included in the category of very good stock prediction models. Produce optimal stock predictions on the comparison of training data and testing data of 70:30 with 500 epochs and 64 batch sizes.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114386972","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":"Goals of Customer Relationship Management in Hospitals based on the Customer Life Cycle: A systematic literature review","authors":"Tita Ayu Rospricilia, Mudjahidin","doi":"10.1109/iSemantic55962.2022.9920455","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920455","url":null,"abstract":"From a healthcare environment perspective, customer relationship management (CRM) is defined as an approach to managing patient relationships to build good relationships. To keep finances in balance, hospitals need to manage customer relationships. Much research on CRM has made significant progress in areas such as telecommunications, banking, and manufacturing, but research specific to the hospital environment is very limited. This systematic review aims to categorize, summarize, synthesize, and assess research on CRM in hospitals. This study uses a systematic literature review technique that starts by compiling research questions, the search process, study selection, conducting a review, analysis, synthesis, and reporting. The result of this research is a synthesis of 30 articles that were analyzed based on research goals and research approach. As much as 27% of CRM in the study was used for customer acquisition, 40% for customer retention, and 33% for customer conversion.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121155743","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}