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.....

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