Mountain is one of the tourist destination that are currently in great demand by various circles of society, specially for young people. This is evidenced by the increase in the mountaineering tourist visitour data that increase every years. The increase in public interest in mountaineering also leads to many cases of accidenct. That occur during mountainerring, such as the loss climbers in mountainousareas, the loss of climbers on mountain tracks, and other accidents that must immediately require emergency assistance. The difficult to find by giards and others search teams. Therefor, in this study we disigned an Eemergency Button tool for mountaineers designed to beable to perform the emergency call process when a person has an accident while in an inaccesible terrain such as mountains. It is integrated in the LoRa-based Multihop Communications System an Global Posiyioning System (GPS). Signals or data sently by climbers through the emergency button in the form of coordinate points of the location of climbers. The coordinates sent by the climbers will later be sent to the mountain guard post server which was previously via Relay, the coordinate data has been received will automatically be uploaded to thinkspeak so that it can be acces using the internet and converted into a google maps display from. It is hoped that this will make it easier to find the location of climbers accurately and quackly.

This paper proposes a low cost air quality monitoring system using LoRa-based communication technology. The proposed system consists of several sensor nodes and a gateway. Sensor nodes read pollutant levels in the air using the MQ-7 sensor for CO gas, MQ-135 for CO2 gas, GP2Y1010 for Particulates Matter (PM) and the DHT-22 sensor to read air temperature and humidity. Arduino UNO R3 is used as the data processing centre. Sensor data is sent to the gateway using the LoRa RF96 module. The gateway forwards the sensor data received to the Thingspeak server using NodeMCU V3, and users can access it via the internet network. The test results show that the designed system could read the levels of pollutants in the air and sent them to the Thingspeak server. Indoor-placed gateway could receive data from outdoorlocated sensor node with a 100% success rate up to a distance of 32 meters. While at a distance of 50 meters, the success rate of data reception by the gateway was 99.17% and at a distance of 70 meters was 78.3%.