UPSI Digital Repository (UDRep)
|Abstract : Universiti Pendidikan Sultan Idris
|The aim of this research is to develop a remote monitoring device that could capture critical real-time data such as temperature, humidity, gaseous, fire, and rain detection that shows the current preserved natural state and habitat in the forest. The forest ecosystem is essential in supplying high natural resources for flora and fauna. This unprotected resources are exposed and susceptible to the threat of illegal logging which can lead to unhealthy phenomenon and irreplaceable assets. The methodology is to employ the rapid prototyping modeling in developing this prototype and also to include a system model that explains the implementation of the temperature, humidity, and hydrogen gaseous variables. All the readings were recorded in real-time for data management and statistical analysis by using SPSS, as well as to analyze the model based on Technology Acceptance Model (TAM) by AMOS. The paired sample T-Test and two-group MANOVA analysis showed that there are significant between mean temperature and humidity. The prototype was implemented at selected locations in the Royal Belum forest to monitor and gather data at two phases. The field experiment was conducted in April 2015. The data consisted of 60 samples for temperature, humidity and hydrogen gaseous from both the upper and the lower parts of the forest. The findings also proved by regression and covariance analysis that the lower part of the forest was more significant than the upper part of the forest area. The results obtained from this research would definitely benefit the monitoring bodies or relevant authorities in applying the system that capable to protect and preserve the forest in its natural environment.
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