2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS)最新文献_第4页

Privacy modelling of sensitive data in universal healthcare coverage in Indonesia 印度尼西亚全民医疗保险中敏感数据的隐私建模

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951437

Irvan Santoso, I. Siahaan, Suharjito

引用次数: 1

Analysis of determining factors for successful student's GPA achievement 成功学生GPA成绩的决定因素分析

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951403

Angellia Debora Suryawan, Eryco Putra

引用次数: 3

Detecting online child grooming conversation 检测在线儿童美容对话

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951413

F. Gunawan, Livia Ashianti, S. Candra, B. Soewito

{"title":"Detecting online child grooming conversation","authors":"F. Gunawan, Livia Ashianti, S. Candra, B. Soewito","doi":"10.1109/KICSS.2016.7951413","DOIUrl":"https://doi.org/10.1109/KICSS.2016.7951413","url":null,"abstract":"Massive proliferation of social media has opened possibilities for perpetrator to conduct the crime of online child grooming. Because the pervasiveness of the problem scale, it may only be tamed effectively and efficiently by using an automatic grooming conversation detection system. Previously, Pranoto, Gunawan, and Soewito [1] had developed a logistic model for the purpose and the model was able to achieve 95% detection accuracy. The current study intends to address the issue by using Support Vector Machine and fc-nearest neighbors classifiers. In addition, the study also proposes a low-computational cost classification method on the basis of the number of the existing grooming conversation characteristics. All proposed methods are evaluated using 150 conversation texts of which 105 texts are grooming and 45 texts are non-grooming. We identify that grooming conversations possess 17 features of grooming characteristics. The results suggest that the SVM and fc-NN are able to identify grooming conversations at 98.6% and 97.8% of the level of accuracy. Meanwhile, the proposed simple method has 96.8% accuracy. The empirical study also suggests that two among the seventeen characteristics are insignificant for the classification.","PeriodicalId":148221,"journal":{"name":"2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114561248","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: 15

Voice analysis for detection of deception 用于检测欺骗的声音分析

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951455

Savita Sondhi, R. Vijay, Munna Khan, A. Salhan

引用次数: 13

Robust adaptive genetic K-Means algorithm using greedy selection for clustering 基于贪婪选择的鲁棒自适应遗传K-Means聚类算法

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951445

A. S. Girsang, F. Tanzil, Y. Udjaja

引用次数: 5

Face recognition using eigenface with naive Bayes 基于朴素贝叶斯的特征脸人脸识别

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951418

Ega Bima Putranto, Poldo Andreas Situmorang, A. S. Girsang

引用次数: 13

Increasing the accuracy of distance measurement between access point and smartphone 提高接入点和智能手机之间距离测量的准确性

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951423

B. Soewito, Ikhtiar Faahakhododo, F. Gunawan

引用次数: 5

Implementation model of smart connected motorbike service: An engineering economic analysis of Machine to Machine application 智能互联摩托车服务的实现模型:机器对机器应用的工程经济分析

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951420

J. Suroso, Eva Nurul Jamilah

{"title":"Implementation model of smart connected motorbike service: An engineering economic analysis of Machine to Machine application","authors":"J. Suroso, Eva Nurul Jamilah","doi":"10.1109/KICSS.2016.7951420","DOIUrl":"https://doi.org/10.1109/KICSS.2016.7951420","url":null,"abstract":"Nowadays, mobile operators are faced with difficult conditions, where subscriber growth rate is already at its peak. Revenue growth is also declined because legacy services are tend to decreased due to threat from OTTs. Therefore we need a strategy to be able to withstand these conditions, one of which is a glance at the digital market. Strategy to offer digital services is developed in order to increase operators' revenue through offering of Machine to Machine (M2M) services, where potential and digital ecosystem support of those services is promising. In reality, implementation of those digital services is not yielding significant effect on operators' revenue growth, thus they need new strategy with a new service innovation. This research aims to modeling an M2M services, into a Smart Connected Motorbike (SCM) services. Furthermore, this research also analyzes business model implementation of this service as a study case at PT.XYZ, where this service is expected to become a new revenue source. From system modeling result and business model analysis, it is revealed that implementation of Smart Connected Motorbike services practices multi-sided platform business model pattern that brings together two different groups of customers which are motorbike users/buyers and corporate customers. Moreover, this research analyses four business models approach to find appropriate implementation models of Smart Connected Motorbike services and additional revenue opportunities for PT.XYZ.","PeriodicalId":148221,"journal":{"name":"2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133991437","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

Classify interval range of crime forecasting for crime prevention decision making 对犯罪预测区间范围进行分类，为犯罪预防决策提供依据

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951409

A. Retnowardhani, Y. S. Triana

{"title":"Classify interval range of crime forecasting for crime prevention decision making","authors":"A. Retnowardhani, Y. S. Triana","doi":"10.1109/KICSS.2016.7951409","DOIUrl":"https://doi.org/10.1109/KICSS.2016.7951409","url":null,"abstract":"Law enforcement authority as decision maker requires future information, which can be predicted through index crime forecasting to determine the level or future crime trend. Processing of data into useful information is indispensable. Crime trend prediction is helpful to make a decision in crime prevention activities. Other than that, law enforcement authority needs several decision options based on crime trend prediction. It is needed because prediction may contain an uncertainty. To obtain that needed a decision making system application is required. This paper presented a proposed decision making system application that can provide information about crime prevention decision options. The decision options are made based on crime forecasting and interval forecasting data. Every selection of each decision option is based on the level of crime forecasting limit range and crime forecasting values. To classify the limit range, then the distribution frequency is used. There is a high level, medium level and low level. Then, a decision options are made based on this level. The if-then rules are used for decision selection processes. The decision result in several probably conditions hopefully can help law enforcement authority for making better crime prevention decision. The system application for this process is named Crime Prevention Decision Support System (CreP-DSS).","PeriodicalId":148221,"journal":{"name":"2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"495 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037198","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: 9

Search results side note: Creating information search context in creative design process 搜索结果旁注:在创意设计过程中创建信息搜索上下文

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) Pub Date : 2016-11-01 DOI: 10.1109/KICSS.2016.7951446

M. I. Jambak, S. M. Yusof

引用次数: 0