2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)最新文献_第4页

Discriminating Unknown Software Using Distance Model 利用距离模型判别未知软件

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979970

Yassine Lemmou, Hélène Le-Bouder, Jean-Louis Lanet

引用次数: 1

ICACSIS 2019 Committees

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/icacsis47736.2019.8979651

引用次数: 0

Inhibiting Motivating Factors on Online Gig Economy Client in Indonesia 印尼在线零工经济客户的抑制因素

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979703

Sinta Nur Asih, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani

引用次数: 8

Development and User Experiences of the Learn Viena Karelian Mobile Web Game 学习维也纳卡累利阿移动网页游戏的开发和用户体验

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979925

Triando, Leena Arhippainen

引用次数: 4

Does Gamification Motivate Gig Workers? A Critical Issue in Ride-Sharing Industries 游戏化能激励零工吗?共享出行行业的一个关键问题

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979938

Rahmanto Prabowo, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani

{"title":"Does Gamification Motivate Gig Workers? A Critical Issue in Ride-Sharing Industries","authors":"Rahmanto Prabowo, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani","doi":"10.1109/ICACSIS47736.2019.8979938","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979938","url":null,"abstract":"The gamification in ride-sharing applications is actualized in a point system for incentives and ratings for feedback. By growth of driver’s number, the current gamification is facing problems. Drivers should spend more time and serve more orders to achieve targeted points. As the impact, their performance got worse, and their customers’ satisfaction was reduced. To analyze the gamification effect on driver motivation, this study synthesizes Self Determination Theory (SDT) and Motivational Affordance Perspective (MAP). This study is a case study based on empirical data using a quantitative approach. By involving 103 participants, this study examines seven variables: Identified Regulation, External Regulation, Need for Autonomy, Self-Efficacy, Playfulness, Extrinsic Motivation, and Intrinsic Motivation. After mapping them into nine hypotheses, there were five accepted ones. The results unveiled that gamification can influence extrinsic motivation, but it cannot influence intrinsic motivation. As general interpretation, gamification motivates drivers to take more orders since they are forced to reach targeted points. This study provides recommendations for ride-sharing operators to improve gamification by adding new features to cover self-efficacy, need for autonomy, and playfulness in order to influence drivers’ intrinsic motivation.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134117074","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: 7

Segmentation of Neuro Retinal Rim Area using Histogram Feature-based for Glaucoma Detection in Retinal Fundus Image 基于直方图特征的神经视网膜边缘区域分割用于视网膜眼底图像青光眼检测

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979715

A. Juliansyah, Gibran Satya Nugraha

{"title":"Segmentation of Neuro Retinal Rim Area using Histogram Feature-based for Glaucoma Detection in Retinal Fundus Image","authors":"A. Juliansyah, Gibran Satya Nugraha","doi":"10.1109/ICACSIS47736.2019.8979715","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979715","url":null,"abstract":"Neuro retinal rim is an area between optic disc and optic cup. Neuro retinal rim area consists of four parts, namely inferior, superior, nasal, and temporal (ISNT). The diagnosis of glaucoma can be done by observing the shape of the neuro retinal rim. In normal eyes, the size of the four parts in the neuro retinal rim follows the ISNT rule, from the largest to the smallest, as follows: inferior, superior, nasal, and temporal. This research was conducted to examine an adaptive threshold of neuro retinal area segmentation. The neuro retinal rim area was obtained by reducing the optic disc and the optic cup parts. Before that, optic cup and optic disc was segmented by analyzing histogram features likes mean and standard deviation values. Normal image has the area from the largest to the smallest according to the ISNT rules, however, in glaucoma, it is usually the inferior and superior areas attacked first, so that they experience notching or narrowing and violate the ISNT rules. The accuracy of the system was 91.25%, with 73 images from DRISTHI-GS retinal image database successfully diagnosed with the ISNT area that experienced notching, while the 8 images were still failed to diagnose due to a poor level of brightness.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133117051","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

User’s Intentions in Health Information Exchange in Social Media 社交媒体中健康信息交流的用户意图

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979731

Atikah Zahrah Halim, P. W. Handayani, A. Pinem

引用次数: 0

Why do Enterprises Adopt Natural Language Processing Services? Startups’ Landscape and Opportunities in Artificial Intelligence 企业为什么采用自然语言处理服务?初创公司在人工智能领域的前景和机遇

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979806

R. N. Ruliputra, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani

{"title":"Why do Enterprises Adopt Natural Language Processing Services? Startups’ Landscape and Opportunities in Artificial Intelligence","authors":"R. N. Ruliputra, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani","doi":"10.1109/ICACSIS47736.2019.8979806","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979806","url":null,"abstract":"The large number of internet users in Indonesia contributes to Indonesia’s growth potential in general in the digital economy. This rapid growth urged the government to plan for the industrial 4.0 revolution with artificial intelligence (AI) technology as its basis. Innovations in the field of AI come from many startup companies. Despite many benefits, only 40 percent companies in Asia-Pacific utilized the AI technology in functional areas, such as chatbot services and customer service robots. This gap needs to be addressed considering that more than 87 percent of internet users in Indonesia utilize chat services and social media. AI utilization can be implemented by using the services of companies engaged in AI, including startups. However, AI-based startups in Indonesia are not yet mapped. Furthermore, practical impact of AI implementation needs to be surveyed as knowledge to implement AI in business. This research mapped 68 Indonesian startups of AI service providers. In addition, this study evaluates the implementation of AI in the Natural Language Processing (NLP) category for companies from the perspective of the service provider. Of all 8 mapped NLP service providers, 4 of them are chosen as the research objects. The impacts of its implementation are categorized into eight categories: motivation, profit, interest, change in strategy, competition, satisfaction, trust, and ethics. Recommendations are given to companies related to NLP with the most important things which are defining purposes and dare to try.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116088638","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

ICACSIS 2019 Cover Page ICACSIS 2019封面

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/icacsis47736.2019.8979990

引用次数: 0

Discovering the Influencing Factors of Physical Gig Economy Usage: Quantitative Approach on Clients9 Perception 发现实体零工经济使用的影响因素:客户感知的定量方法

2019 International Conference on Advanced Computer Science and information Systems (ICACSIS) Pub Date : 2019-10-01 DOI: 10.1109/ICACSIS47736.2019.8979958

Ari Auditianto, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani

{"title":"Discovering the Influencing Factors of Physical Gig Economy Usage: Quantitative Approach on Clients9 Perception","authors":"Ari Auditianto, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani","doi":"10.1109/ICACSIS47736.2019.8979958","DOIUrl":"https://doi.org/10.1109/ICACSIS47736.2019.8979958","url":null,"abstract":"Physical Gig Economy (PGE) in Indonesia has rapid growth in the last few years. Unfortunately, a large gap among PGE services occurred. Compared with ride-hailing services with highly frequent transactions, cleaning and mechanical services have had few transactions. This study aims to identify and analyze the factors that influence clients to use PGE services. Previous studies about users’ intention were synthesized to develop the research model and hypothesis. Factors that are thought to have an influence on client behavior and intention are platform quality, trust, social influence, perceived risk, hedonic motivation, and economic benefits. Furthermore, a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM) and 318 valid respondents is demonstrated. The results show that hedonic motivation is the most influencing factor followed by economic benefits, trust, and perceived platform quality. This study also informs that social influence only affects client on the early usage of PGE. Having the knowledge of these factors, PGE operators could develop the right strategies to further expand their business and attract new clients.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129040647","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: 6