Abstract
Forest and land fires in Indonesia, based on National Board for Disaster Management (BNPB) are recorded that the burned area reached 328,724 hectares with 2,719 hotspots in the January – August 2019 period. The factors causing forest fires include climate change, human activities in forest areas, and forest officers that can’t be monitored in real-time. The internet of things (IoT) based solar cell-based forest fire detection using for a monitoring system in real-time. This research uses PV (Photovoltaic) as power on the system. This IoT is integrated with the android application so that the user can monitor forest conditions at any time. This research uses ESP8266 12 – F as an IoT module, Arduino Uno for controlling the device, and relays. This result data are based on laboratorium test. The result of this research is a monitoring system that can monitor smoke (MQ-2 sensor), temperature and humidity (DHT22 sensor), water pressure (pressure transmitter), current and voltage in the battery charging remotely and can be controlled automatically when the sensor detects the flame.
Highlights
The Indonesia forest fires are one of the annual largest forest fires in the world
The internet of things (IoT) based solar cell-based forest fire detection using for a monitoring system in realtime
This research uses PV (Photovoltaic) as power on the system. This IoT is integrated with the android application so that the user can monitor forest conditions at any time
Summary
The Indonesia forest fires are one of the annual largest forest fires in the world. According to the Indonesia Ministry of Environment and Forestry data, the area of forest and land fires in Indonesia in 2019 reached 328,722 hectares (Ministry of Environment and Forestry,2019). The second method is observation through a watchtower, this method has drawbacks in terms of costs for the construction of a watchtower, human resource training, the monitored area is limited (Arief et al, 2019). ISSN 2442-4528(Online) | ISSN 1979-925X (Print) influenced by cloud conditions in the observed area so that in the monitoring process it is difficult to get real-time information (Marques et al, 2018). Research (Achmad et al, 2018) developed a system that can detect early detection and prevention of house fires using ESP8266 and Blynk, the system has can monitor LPG gas leaks in the kitchen and fire levels using IoT technology integrated with android application. This research is expected to help forest supervisors and residents around forest land to monitor forest conditions so that early prevention can be carried out before forest fires can spread. RESEARCH METHODS This section explains the methods and which types of equipment are used and how to solve the problem
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