2022 International Conference on ICT for Smart Society (ICISS)最新文献

Fuzzy Adaptive Items in Design Activity of Appreciative Serious Game 鉴赏性严肃游戏设计活动中的模糊自适应项

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915117

Hanny Haryanto, Aripin, Acun Kardianawati, Umi Rosyidah, E. Mulyanto, T. Sutojo

{"title":"Fuzzy Adaptive Items in Design Activity of Appreciative Serious Game","authors":"Hanny Haryanto, Aripin, Acun Kardianawati, Umi Rosyidah, E. Mulyanto, T. Sutojo","doi":"10.1109/ICISS55894.2022.9915117","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915117","url":null,"abstract":"Serious game has been a very potential tool for learning, especially for online learning in the Covid 19 pandemic era. Using interactivity and experience as the main advantage, serious games offer a fun way to learn that can enhance the understanding of the learning material. However, the design of the serious game is difficult due to the different nature between learning and gaming. Game activity is one of the game elements that is difficult to develop. Appreciative serious game is the type of serious game that is using Appreciative Learning concept to design the activity. Appreciative serious game has four main stages, namely Discovery, Dream, Design and Destiny. Design stage is one of the most difficult stages, because it has the most activities compared to other stage, thus it should maintain the balance between boredom and frustration. Item often only viewed as a gimmick, even though it has potential to support the balance. This research is using fuzzy logic to produce adaptive item behavior, called fuzzy adaptive items. The fuzzy adaptive item takes life point and the number of errors, which resulted in the dynamic frequency of appearing relevant items. The results shows that items appear dynamically according to player performance.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043759","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

Predicting The Occupation Progress of A Person Using Decision Tree-Based Analysis 用决策树分析预测一个人的职业发展

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915272

Rossian V. Perea

{"title":"Predicting The Occupation Progress of A Person Using Decision Tree-Based Analysis","authors":"Rossian V. Perea","doi":"10.1109/ICISS55894.2022.9915272","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915272","url":null,"abstract":"Many data accessed from different information systems are commonly not clear on how these interpret in a meaningful way to produce concrete information and how to embrace this innovation that could be used for a decision-making approach. Hence, this study involved predicting the occupation progress of a person using decision tree-based analysis. Using the Information System for Sex-disaggregated Data (ISSDD) platform, the datasets of residents' information were collected and cleaned for confidentiality. This involves the recording condition of inhabitants that could give an action by the government to improve the quality of life in their communities. Hence, the prediction made in this study analyzed the occupation progress of a resident based on their age, civil status, and highest educational attainment. The data mining approach was used to develop new knowledge for the in-depth interpretation of data such as identification of the source of information, collection of data points to be analyzed, extraction of relevant data content, classification of key values from the extracted data set, and evaluation and recording of results. The percent accuracy of the confusion matrix is 77.69% where 90.48% of single residents have a chance to be a success in their occupation over the 71.59% for the married.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125542506","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

Classification of Drug Effectiveness Based on Patient's Condition Using Text Mining With K-Nearest Neighbor 基于患者病情的k近邻文本挖掘药物有效性分类

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915156

Deny Haryadi, Dewi Marini Umi Atmaja, Arif Rahman Hakim, Wina Witanti

{"title":"Classification of Drug Effectiveness Based on Patient's Condition Using Text Mining With K-Nearest Neighbor","authors":"Deny Haryadi, Dewi Marini Umi Atmaja, Arif Rahman Hakim, Wina Witanti","doi":"10.1109/ICISS55894.2022.9915156","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915156","url":null,"abstract":"A drug is an ingredient intended to be used in establishing the diagnosis, preventing, reducing, eliminating, and curing a disease or symptom of a disease. The magnitude of the effectiveness of the drug depends on the dosage and sensitivity of the organs of the body. Accuracy in the selection of drugs can be done in several ways, one of which is by conducting a condition analysis and drug review to find out the effectiveness of the drug to be used. Text Mining is one of the disciplines that can be used to extract information from a collection of documents under these conditions. In carrying out the text classification process there are several algorithms that can be used, one of which is the K-Nearest Neighbor (KNN) algorithm, this algorithm has the characteristic that is with an approach to finding cases by calculating the proximity of new cases to old cases. In this study, the dataset is divided into 2 parts, namely 70% training data, and 30% testing data. Based on the results of tests conducted in this study, the KNN algorithm produces an accuracy of 77.86%.The results of such accuracy are also influenced by the many training data used. The more data trained, the better the accuracy value.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115061114","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

Development of Virtual Support Application for Sexual and Gender-Based Violence Victims 性暴力和性别暴力受害者虚拟支持应用程序的开发

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915252

Mauee Czelsie Samaniego, Risty Acerado, Aiza Jane Sulit, Roselia Morco

{"title":"Development of Virtual Support Application for Sexual and Gender-Based Violence Victims","authors":"Mauee Czelsie Samaniego, Risty Acerado, Aiza Jane Sulit, Roselia Morco","doi":"10.1109/ICISS55894.2022.9915252","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915252","url":null,"abstract":"Sexual and Gender-Based Violence (SGBV) is an issue of a serious global concern. SGBV affects everyone and has severe implications on an individual's physical, mental, emotional, and sexual health. Cases of Sexual and Gender-based violence (SGBV) rise especially during pandemic. There was an increased domestic violence due to women being trapped with a perpetrator, often without the means of accessing support (Wendoh, 2020). Due to heightened restrictions to leave homes, many victims have limited means to seek social and professional care and support. Moreover, government and non-government services could not also prioritize their SGBV responses due to lockdown. Thus, this study aimed to develop a Virtual Support Web Application that would inform and guide victims using SGBV -related educational materials and aid victims in reaching out to organizations and law enforcement agencies for help and assistance. The proposed application is a digital-enabled multifunctional SGBV response tool called TARA. It also utilizes web analytics to create data maps on SGBV and intends to assist by providing access to Self-Care and Psycho-Social Services. TARA aims to become the key instrument for raising awareness, providing a directory and direction to law enforcement agencies to deal with new and future SGBV cases. The evaluation shows positive responses from IT and non-IT professional respondents. Evaluating the functionality, usability, and efficiency, users were satisfied with the application as the mean average of the evaluation result is interpreted as strongly agree, which is deemed satisfactory in becoming a platform for SGBV in the Philippines.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115527684","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

Model of Relative Advantage on Mobile Payment: The Support of Responsiveness and Smartness 移动支付的相对优势模型:响应性和智能性的支持

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915188

L. Susanti, D. Alamsyah

{"title":"Model of Relative Advantage on Mobile Payment: The Support of Responsiveness and Smartness","authors":"L. Susanti, D. Alamsyah","doi":"10.1109/ICISS55894.2022.9915188","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915188","url":null,"abstract":"The sustainable of mobile payment hinge on user's interest. Regard to problem phenomenon, this research is determining the intention in mobile payment e-wallet which is characterized by continuous usage. The variables studied include responsiveness, smartness, and relative advantage. The research method used in reviewing mobile payments is a survey, with quantitative data types. Respondents in this study were determined to be 290 mobile payment users, while the research survey was conducted in the city of Bandung (Indonesia). The data was processed using SmartPLS with model testing and research hypothesis testing. The results showed that responsiveness and smartness assessed by users have a role in increasing the relative advantage for the user. In another finding, it is also known that the continuous usage of mobile payment can be controlled by an increase in the relative advantage judged by the user. It is also known directly that continuous usage cannot be directly affected by responsiveness and smartness. There are research findings that are novel, namely the pinning-up model of responsiveness and smartness in continuous usage of mobile payment. The findings in the study can be used as input for industries that focus on mobile payments.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041920","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

Digital Transformation Framework: A Review 数字化转型框架:综述

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915169

Radiant Victor Imbar, S. Supangkat, A. Langi, A. A. Arman

引用次数: 0

Gamification in Sustainable Smart Tourism Destinations: A Systematic Review 可持续智慧旅游目的地的游戏化:系统回顾

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915205

Siti Elda Hiererra, Arief Ramadhan, S. Supangkat

{"title":"Gamification in Sustainable Smart Tourism Destinations: A Systematic Review","authors":"Siti Elda Hiererra, Arief Ramadhan, S. Supangkat","doi":"10.1109/ICISS55894.2022.9915205","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915205","url":null,"abstract":"Purpose - This study aims to identify, analyze, and synthesize gamification's purposes, benefits, and essential factors in the tourism industry through a systematic literature review (SLR). Methodology - The research is based on a systematic review of the literature and focuses on pertinent gamification literature in the tourism industry. The authors analyzed 30 articles published between 2013 and 2021. Findings - The authors summarize previous research into five categories of purposes for gamification: (1) engagement, (2) enjoyable experiences, (3) loyalty & brand awareness, (4) sustainable behavior, (5) competitive advantage; three benefits of gamification: (1) utilitarian, (2) hedonic, and (3) social; and two essential factors in gamification that support successful smart tourism destinations: (1) tourist motivational, and (2) game design element. The originality of the research - The study provides the SLR method to investigate gamification's purposes, benefits, and essential factors to support sustainable smart tourism destinations (SSTD). This finding helps build a complete understanding of the gamification concept to support sustainable smart tourism destinations.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560278","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

Understanding People Analytics Adoption to Support Higher Education Competitive Advantages: A Literature Review 理解人的分析采用，以支持高等教育的竞争优势:文献综述

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915119

S. Prasetyaningtyas, Abdul Rohman, Minaldi Loeis, Samuel Mahatmaputra, Michael Siek

{"title":"Understanding People Analytics Adoption to Support Higher Education Competitive Advantages: A Literature Review","authors":"S. Prasetyaningtyas, Abdul Rohman, Minaldi Loeis, Samuel Mahatmaputra, Michael Siek","doi":"10.1109/ICISS55894.2022.9915119","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915119","url":null,"abstract":"This study expects to systemically review the current investigations on the relationship of people analytics adoption to support higher education's competitive advantage. Through a systematic literature review, with the help of Publish or Perish v8 Software, the assessment chose 19 papers, then played out a descriptive analysis of the writing to address the accompanying exploration questions: 1) what people analytics implies and its significance, and 2) what can People Analytics give to higher education competitive advantage? Researchers did a far-reaching writing audit investigation to accomplish the referenced targets of the paper. Given the examination, the adoption of people analytics to support higher education competitive advantage centers around instructing and learning investigation. The level of analytics is used primarily in the descriptive and diagnostics area. The predictive and prescriptive analytics were not much discussed. The empirical papers of this people analytics range from subject matters to data storage in the library business unit. The competitive advantages were mainly discussed regarding students' specific academic prescription to career paths in higher education.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121435793","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: 2

Developing Sentiment Analysis of Indonesian Social Media Based on Convolutional Neural Network for Smarter Society 面向智慧社会的基于卷积神经网络的印尼社交媒体情感分析

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915148

Dian Isnaeni Nurul Afra, Agung Santosa, Radhiyatul Fajri, N. Hidayati, Elvira Nurfadhilah, Siska Pebiana, Lyla Ruslana Aini, Harnum A. Prafitia, Yosi Sahreza, Junanto Prihantoro, Gunarso, Andi Djalal Latief, M. T. Uliniansyah, Hammam Riza

{"title":"Developing Sentiment Analysis of Indonesian Social Media Based on Convolutional Neural Network for Smarter Society","authors":"Dian Isnaeni Nurul Afra, Agung Santosa, Radhiyatul Fajri, N. Hidayati, Elvira Nurfadhilah, Siska Pebiana, Lyla Ruslana Aini, Harnum A. Prafitia, Yosi Sahreza, Junanto Prihantoro, Gunarso, Andi Djalal Latief, M. T. Uliniansyah, Hammam Riza","doi":"10.1109/ICISS55894.2022.9915148","DOIUrl":"https://doi.org/10.1109/ICISS55894.2022.9915148","url":null,"abstract":"The need for mining the public's opinion on specific national development issues can be attained by sentiment analysis. There has been much research on sentiment analysis in Indonesian, but there is room for improvement. In this study, we performed experimentation by comparing previously tested convolutional neural network (CNN) architecture with our proposal utilizing a pre-trained word-embedded model: Word2Vec and GloVe that proved to be having better accuracy. The experiment used the SmSA dataset from IndoBERTweet of 11000 sentences. Utilization of the pretrained Word2Vec and GloVe model that was created from 16.2 million BRIN monolingual text corpus could represent a text in a better way. The word-embedding model can capture the semantic and syntactic meaning of a word so that they can conceive knowledge that may be used to raise classification performances. The experimental results show a better F1 score value of 80.06%, which increases by approximately 2.24%.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115797371","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: 4

Predicting License Plate Prices using Machine and Deep Learning 使用机器和深度学习预测车牌价格

2022 International Conference on ICT for Smart Society (ICISS) Pub Date : 2022-08-10 DOI: 10.1109/ICISS55894.2022.9915267

Fardin Ahsan, N. Sheikh, Jinane Mounsef

引用次数: 0