Surjandy, Erick Fernando, Meyliana, Y. Eni, Alexandra Joya, Dimitrij Fajar Satria Dharma
{"title":"Data Privacy factor of Female passenger's data in Indonesia Online Transportation System","authors":"Surjandy, Erick Fernando, Meyliana, Y. Eni, Alexandra Joya, Dimitrij Fajar Satria Dharma","doi":"10.1109/ICITACEE.2019.8904440","DOIUrl":null,"url":null,"abstract":"Online Transportation System rapidly growing in Indonesia contemporary. Several researches performed and reported that passenger of online mostly female. However, the passenger data very valuable and monetized, the transaction of selling account offer online. Therefore, the research will explore the data privacy factor of female passenger online transportation system. The study conducted by using SPSS Tools with correlation bivariate technique to explain the correlation of data privacy factor with the female passenger background. The 408 respondent of female online transportation passenger. The research found 8 correlations factor between background respondent and data privacy. The 8 correlations factor found become the novelty of this research, and it will be valuable for future research.","PeriodicalId":319683,"journal":{"name":"2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITACEE.2019.8904440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Online Transportation System rapidly growing in Indonesia contemporary. Several researches performed and reported that passenger of online mostly female. However, the passenger data very valuable and monetized, the transaction of selling account offer online. Therefore, the research will explore the data privacy factor of female passenger online transportation system. The study conducted by using SPSS Tools with correlation bivariate technique to explain the correlation of data privacy factor with the female passenger background. The 408 respondent of female online transportation passenger. The research found 8 correlations factor between background respondent and data privacy. The 8 correlations factor found become the novelty of this research, and it will be valuable for future research.
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