Information Framework of Pervasive Real Time Monitoring System: Case of Peat Land Forest Fires and Air Quality in South Sumatera, Indonesia

Nurmaini, Siti; Malik, Reza Firsandaya; Stiawan, Deris; Firdaus, -; Saparudin,; Tutuko, Bambang

doi:10.1088/1757-899x/190/1/012029

Cited by 1 publication

(2 citation statements)

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“…In 1997/1998 peat swamp forest with area 2,124,000 hectares have been burned [2]. According to Lanpanporo [3] and Ruchiat [4], up to now, the main cause of forest or peat lands fires could not be known certainly, however, some expert argued that forest or peat lands fires occured due to 2 causes, i.e. i) some small-scale activities in agricultural; ii) large-scale activities plantation and agricultural; that were managed by the Forest Concessionaire or Industrial Plantation Forest [2].…”

Section: Introductionmentioning

confidence: 99%

“…It is certainly very useful in order to clear the land quickly and to save costs [3]. For the second way, the unintentional factor, it occurs because of the situation caused by nature, for example, during the dry season, the sun heat can cause the peat lands become drier than before which can increase the chance of occuring a spark that can lead to widespread of fire [4].…”

Section: Introductionmentioning

confidence: 99%

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Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm

Latifah

Annisah²,

Dewi³

2019

ComEngApp

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In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land. The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor. The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server. The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature. Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location. The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%