{"title":"基于启发式方法的用户出行行为跟踪移动应用","authors":"Rasyiq Farandi, Amang Sudarsono, M. Z. S. Hadi","doi":"10.1109/IES50839.2020.9231813","DOIUrl":null,"url":null,"abstract":"This research focuses on tracking user-behavior based on applications usage of the user’s smartphone and creates a conclusion of user behavior when he/she has a trip of traveling. To track the application usage from the user’s smartphone, a library from Android SDK is utilized in creating an instruction that can track the application usage from the user’s smartphone. While he/she is on a trip, his/her positions can be tracked by using Google Maps API as well integrated on the application. To realize these functionalities, a heuristic method is adopted. In this application, user behavior data that have been made are stored in the database. The data sent are secured using the RSA algorithm and equipped with message digest verification. The results show that our proposed application is worked properly within the testing scope for behavioral generation during traveling.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Mobile Application of User Traveling-Behavior Tracking using Heuristic Method\",\"authors\":\"Rasyiq Farandi, Amang Sudarsono, M. Z. S. Hadi\",\"doi\":\"10.1109/IES50839.2020.9231813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research focuses on tracking user-behavior based on applications usage of the user’s smartphone and creates a conclusion of user behavior when he/she has a trip of traveling. To track the application usage from the user’s smartphone, a library from Android SDK is utilized in creating an instruction that can track the application usage from the user’s smartphone. While he/she is on a trip, his/her positions can be tracked by using Google Maps API as well integrated on the application. To realize these functionalities, a heuristic method is adopted. In this application, user behavior data that have been made are stored in the database. The data sent are secured using the RSA algorithm and equipped with message digest verification. The results show that our proposed application is worked properly within the testing scope for behavioral generation during traveling.\",\"PeriodicalId\":344685,\"journal\":{\"name\":\"2020 International Electronics Symposium (IES)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Electronics Symposium (IES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IES50839.2020.9231813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Electronics Symposium (IES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IES50839.2020.9231813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Mobile Application of User Traveling-Behavior Tracking using Heuristic Method
This research focuses on tracking user-behavior based on applications usage of the user’s smartphone and creates a conclusion of user behavior when he/she has a trip of traveling. To track the application usage from the user’s smartphone, a library from Android SDK is utilized in creating an instruction that can track the application usage from the user’s smartphone. While he/she is on a trip, his/her positions can be tracked by using Google Maps API as well integrated on the application. To realize these functionalities, a heuristic method is adopted. In this application, user behavior data that have been made are stored in the database. The data sent are secured using the RSA algorithm and equipped with message digest verification. The results show that our proposed application is worked properly within the testing scope for behavioral generation during traveling.