A. Ramelan, Muhammad Hamka Ibrahim, A. Chico Hermanu Brillianto, F. Adriyanto, Muhammad Rizqi Subeno, Ayu Latifah
{"title":"A Preliminary Prototype of LoRa-Based Wireless Sensor Network for Forest Fire Monitoring","authors":"A. Ramelan, Muhammad Hamka Ibrahim, A. Chico Hermanu Brillianto, F. Adriyanto, Muhammad Rizqi Subeno, Ayu Latifah","doi":"10.1109/ICISS53185.2021.9533237","DOIUrl":null,"url":null,"abstract":"Forest fire that occur anywhere carry very dangerous risks ranging from the emergence of fog, air pollution which causes respiratory diseases, loss of living animal populations to cause economic losses in the area. However, with the technology advances, forest fire can be predicted by monitoring remotely so that forest fire can be prevented. Forest fire risk monitoring in an area is carried out using a remote system to prevent users from periodically monitoring and avoid careless by forest fire monitoring users. This report presents forest fire monitoring by applying Long Range (LoRa) technology to monitor conditions in a forest in certain area. This system used Arduino which was equipped with a LoRa shield that has been installed with a temperature, humidity, and air quality sensor. The data from the sensor was sent via the sensor node and the LoRa gateway and stored on the IoT server of UNS Electrical Engineering. Sending data sent from the LoRa gateway to the IoT Server used the HTTP protocol. The data obtained can be displayed and visualized with a graph through a dashboard created using NodeRed.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS53185.2021.9533237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Forest fire that occur anywhere carry very dangerous risks ranging from the emergence of fog, air pollution which causes respiratory diseases, loss of living animal populations to cause economic losses in the area. However, with the technology advances, forest fire can be predicted by monitoring remotely so that forest fire can be prevented. Forest fire risk monitoring in an area is carried out using a remote system to prevent users from periodically monitoring and avoid careless by forest fire monitoring users. This report presents forest fire monitoring by applying Long Range (LoRa) technology to monitor conditions in a forest in certain area. This system used Arduino which was equipped with a LoRa shield that has been installed with a temperature, humidity, and air quality sensor. The data from the sensor was sent via the sensor node and the LoRa gateway and stored on the IoT server of UNS Electrical Engineering. Sending data sent from the LoRa gateway to the IoT Server used the HTTP protocol. The data obtained can be displayed and visualized with a graph through a dashboard created using NodeRed.