L. Subiyanto, A. Arfianto, S. Alfuat, D. P. Riananda, E. Supriyanto, F. Nofandi, T. Santoso, N. Gunantara, V. Ardhana
{"title":"基于LoRA通信的无人船监控移动应用","authors":"L. Subiyanto, A. Arfianto, S. Alfuat, D. P. Riananda, E. Supriyanto, F. Nofandi, T. Santoso, N. Gunantara, V. Ardhana","doi":"10.23919/eecsi53397.2021.9624270","DOIUrl":null,"url":null,"abstract":"The potential of fish in the sea is a hope for fishers. During fishing, fishers must go around and map the fishing location because the distance and direction of the ship to the fishing location is not yet known accurately. Fishers only rely on the experience and information from other fishers to find out the location of fish distribution, and this will cause boat fuel losses because of the uncertain goals. In this research will shown the making process of the design of mobile navigation applications to find the location of the fish distribution. The device works based on information data in the form of latitude and longitude data from the Center for Marine Research and Observation. By entering the fish distribution data, the distance and direction of the location can be known. Android mobile application called Mobile Virtual Assistant (MVA) works by using smartphone GPS data, maps, and gyroscope compass sensors to locate fish distribution and data analysis will be compared with the Android application “Polaris Navigation” to find out the coordinates. From 10 tests, the Android Virtual Mobile Assistant application successfully headed to the destination location with a different accuracy of 24 meters from the Mobile Navigation Apps coordinate point detector. So it can be concluded that the android mobile application that is made can read the coordinates accurately.","PeriodicalId":259450,"journal":{"name":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mobile Application for Unmanned Ship Monitoring Based on LoRA Communication\",\"authors\":\"L. Subiyanto, A. Arfianto, S. Alfuat, D. P. Riananda, E. Supriyanto, F. Nofandi, T. Santoso, N. Gunantara, V. Ardhana\",\"doi\":\"10.23919/eecsi53397.2021.9624270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The potential of fish in the sea is a hope for fishers. During fishing, fishers must go around and map the fishing location because the distance and direction of the ship to the fishing location is not yet known accurately. Fishers only rely on the experience and information from other fishers to find out the location of fish distribution, and this will cause boat fuel losses because of the uncertain goals. In this research will shown the making process of the design of mobile navigation applications to find the location of the fish distribution. The device works based on information data in the form of latitude and longitude data from the Center for Marine Research and Observation. By entering the fish distribution data, the distance and direction of the location can be known. Android mobile application called Mobile Virtual Assistant (MVA) works by using smartphone GPS data, maps, and gyroscope compass sensors to locate fish distribution and data analysis will be compared with the Android application “Polaris Navigation” to find out the coordinates. From 10 tests, the Android Virtual Mobile Assistant application successfully headed to the destination location with a different accuracy of 24 meters from the Mobile Navigation Apps coordinate point detector. So it can be concluded that the android mobile application that is made can read the coordinates accurately.\",\"PeriodicalId\":259450,\"journal\":{\"name\":\"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/eecsi53397.2021.9624270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/eecsi53397.2021.9624270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile Application for Unmanned Ship Monitoring Based on LoRA Communication
The potential of fish in the sea is a hope for fishers. During fishing, fishers must go around and map the fishing location because the distance and direction of the ship to the fishing location is not yet known accurately. Fishers only rely on the experience and information from other fishers to find out the location of fish distribution, and this will cause boat fuel losses because of the uncertain goals. In this research will shown the making process of the design of mobile navigation applications to find the location of the fish distribution. The device works based on information data in the form of latitude and longitude data from the Center for Marine Research and Observation. By entering the fish distribution data, the distance and direction of the location can be known. Android mobile application called Mobile Virtual Assistant (MVA) works by using smartphone GPS data, maps, and gyroscope compass sensors to locate fish distribution and data analysis will be compared with the Android application “Polaris Navigation” to find out the coordinates. From 10 tests, the Android Virtual Mobile Assistant application successfully headed to the destination location with a different accuracy of 24 meters from the Mobile Navigation Apps coordinate point detector. So it can be concluded that the android mobile application that is made can read the coordinates accurately.